40 jobs found

We're building safety-enhancing technology for aviation that will save lives. Automated aviation systems will enable a future where air transportation is safer, more convenient and fundamentally transformative to the way goods - and eventually people - move around the planet. We are a team of mission-driven engineers with experience across aerospace, robotics and self-driving cars working to make this future a reality. The Avionics Hardware team is a small group of highly motivated engineers who develop the core compute, actuation, sensing, and power electronics products at the heart of our automation system. We enjoy cradle-to-grave hardware ownership and hands-on test, iteration, and deployment of our designs. As an Avionics Hardware Engineer, you will drive development of electrical components and sub-systems across our airborne and test platforms from the circuit-board level up through integrated systems and everything in between. Responsibilities In your role as Avionics Hardware Engineer, you will design, analyze, document, test, and troubleshoot electronic assemblies at the circuit board through integrated electro-mechanical level. You will collaborate with a cross-functional team of electrical, mechanical, software, manufacturing and test engineers as the expert on your hardware. You will drive improvements to the hardware through benchtop, environmental, and on-aircraft testing, and perform root-cause investigations to characterize, document, and rectify anomalous behavior in a safety-critical environment. Basic Success Criteria Bachelor's degree in electrical engineering, computer engineering, or equivalent experience Demonstrated ability to complete and ship projects and deliverables Professional experience with ECAD tools such as Altium Ability to work within a team, including strong written and verbal communication skills Ability to methodically diagnose, document, and solve electronic hardware problems Preferred Criteria Professional experience with the full electronics product life-cycle, from conceptual design through production Direct hands-on experience with analog, digital, and mixed-signal circuit design, analysis, test, and debug Experience designing electronics to meet rigorous environmental standards (aerospace, military, automotive, or harsh industrial) Proficiency with Python and/or MATLAB for analysis, data review, and test setup scripting We're a growing, motivated, fast-paced team of avionics professionals. We move quickly, and everyone wears multiple hats. We're looking for someone who is diligent and detail-oriented who can join our team and make an immediate impact. This role is on-site in Mountain View, CA. Must be willing to travel 10% of the time. The estimated salary range for this position is $110,000 to $168,000/annual salary + cash and stock option awards + benefits. At Reliable Robotics, we strive to provide competitive and rewarding compensation based on experience and expertise, as well as market conditions, location, and pay equity. In addition to base compensation, Reliable Robotics offers stock options, employee medical, 401k contribution, great co-workers and a casual work environment. This position requires access to information that is subject to U.S. export controls. An offer of employment will be contingent upon the applicant's capacity to perform in compliance with U.S. export control laws. All applicants are asked to provide documentation that legally establishes status as a U.S. person or non-U.S. person (and nationalities in the case of a non-U.S. person). Where the applicant is not a U.S. person, meaning not a (i) U.S. citizen or national, (ii) U.S. lawful permanent resident, (iii) refugee under 8 U.S.C. 1157, or (iv) asylee under 8 U.S.C. 1158, or not otherwise permitted to access the export-controlled technology without U.S. government authorization, the Company reserves the right not to apply for an export license for such applicants whose access to export-controlled technology or software source code requires authorization and may decline to proceed with the application process and any offer of employment on that basis. At Reliable Robotics, our goal is to be a diverse and inclusive workforce. As an Equal Opportunity Employer, we do not discriminate on the basis of race, religion, color, creed, ancestry, sex, gender (including pregnancy, childbirth, breastfeeding, or related medical conditions), gender identity, gender expression, sexual orientation, age, non-disqualifying physical or mental disability or medical conditions, national origin, military or veteran status, genetic information, marital status, or any other basis covered by applicable law. All employment and promotion is decided on the basis of qualifications, merit, and business need. If you require reasonable accommodation in completing an application, interviewing, completing any pre-employment testing, or otherwise participating in the employee selection process, please direct your inquiries to

CoreWeave is The Essential Cloud for AI . Built for pioneers by pioneers, CoreWeave delivers a platform of technology, tools, and teams that enables innovators to build and scale AI with confidence. Trusted by leading AI labs, startups, and global enterprises, CoreWeave combines superior infrastructure performance with deep technical expertise to accelerate breakthroughs and turn compute into capability. Founded in 2017, CoreWeave became a publicly traded company (Nasdaq: CRWV) in March 2025. Learn more at . What You'll Do: The Object Storage Team at CoreWeave is responsible for the product capabilities and data plane function of CoreWeave's managed storage products. We build reliable, scalable storage solutions with segment leading performance. Storage engine works with engineering teams across infrastructure, compute, and platform to ensure our storage services meet the needs of the world's most demanding AI workloads. About the role: Design and Implement distributed storage solutions to support scaling data intensive AI workloads. Contribute to the development of exabyte-scale, S3-compatible object storage and integrate dedicated storage clusters into diverse customer environments. Work with technologies such as RDMA, GPU Direct Storage, and distributed filesystems protocols such as NFS or FUSE to optimize storage performance and efficiency. Lead efforts to improve the reliability, durability, security, and observability of our storage stack. Collaborate with operations teams to monitor, troubleshoot, and improve storage systems in production environments. Set the bar for developing metrics and dashboards to provide visibility into storage performance and health. Analyze telemetry and system data to drive improvements in throughput, latency, and resilience. Work cross-functionally with platform, product, and infrastructure teams to deliver seamless storage capabilities across the stack. Share your knowledge and mentor other engineers on best practices in building distributed, high-performance systems. Who You Are: Bachelor's, Master's, or PhD degree in Computer Science, Engineering, or a related field. 8-10+ years of experience working in storage systems engineering or infrastructure. Strong hands-on experience with object storage or distributed filesystems in production environments. Experience with one or more storage protocols (e.g. S3, NFS) and file systems such as Ceph, DAOS, or similar. Proficiency in a systems programming language such as Go, C, or Rust. Proficiency leveraging AI tools to augment software development. Familiarity with storage observability tools and telemetry pipelines (e.g., ClickHouse, Prometheus, Grafana). Experience working with cloud-native infrastructure, Kubernetes, and scalable system architectures. Wondering if you're a good fit? We believe in investing in our people, and value candidates who can bring their own diversified experiences to our teams - even if you aren't a 100% skill or experience match. Here are a few qualities we've found compatible with our team. If some of this describes you, we'd love to talk. You love to grow and push the boundaries of your expertise You're curious about distributed storage and the demands AI/ML workloads You're an expert in data persistence on physical media, high performance data transfer using RDMA, or resilient distributed systems. Why CoreWeave? At CoreWeave, we work hard, have fun, and move fast! We're in an exciting stage of hyper-growth that you will not want to miss out on. We're not afraid of a little chaos, and we're constantly learning. Our team cares deeply about how we build our product and how we work together, which is represented through our core values: Be Curious at Your Core Act Like an Owner Empower Employees Deliver Best-in-Class Client Experiences Achieve More Together We support and encourage an entrepreneurial outlook and independent thinking. We foster an environment that encourages collaboration and provides the opportunity to develop innovative solutions to complex problems. As we get set for take off, the growth opportunities within the organization are constantly expanding. You will be surrounded by some of the best talent in the industry, who will want to learn from you, too. Come join us! The base salary range for this role is $143,000 to $210,000. The starting salary will be determined based on job-related knowledge, skills, experience, and market location. We strive for both market alignment and internal equity when determining compensation. In addition to base salary, our total rewards package includes a discretionary bonus, equity awards, and a comprehensive benefits program (all based on eligibility). What We Offer The range we've posted represents the typical compensation range for this role. To determine actual compensation, we review the market rate for each candidate which can include a variety of factors. These include qualifications, experience, interview performance, and location. In addition to a competitive salary, we offer a variety of benefits to support your needs. The benefits below reflect our US-based offerings for full-time employees; for roles in other locations, benefits vary and are shared during the hiring process. These include: Medical, dental, and vision insurance - 100% paid for by CoreWeave Company-paid Life Insurance Voluntary supplemental life insurance Short and long-term disability insurance Flexible Spending Account Health Savings Account Tuition Reimbursement Ability to Participate in Employee Stock Purchase Program (ESPP) Mental Wellness Benefits through Spring Health Family-Forming support provided by Carrot Paid Parental Leave Flexible, full-service childcare support with Kinside 401(k) with a generous employer match Flexible PTO Catered lunch each day in our office and data center locations A casual work environment A work culture focused on innovative disruption California Applicants California Consumer Privacy Act Equal Opportunity & Accommodations CoreWeave is an equal opportunity employer, committed to fostering an inclusive and supportive workplace. All qualified applicants and candidates will receive consideration for employment without regard to race, color, religion, sex, disability, age, sexual orientation, gender identity, national origin, veteran status, or genetic information. As part of this commitment and consistent with the Americans with Disabilities Act (ADA) , CoreWeave will ensure that qualified applicants and candidates with disabilities are provided reasonable accommodations for the hiring process, unless such accommodation would cause an undue hardship. If reasonable accommodation is needed, please contact: . Export Control Compliance This position requires access to export controlled information. To conform to U.S. Government export regulations applicable to that information, applicant must either be (A) a U.S. person, defined as a (i) U.S. citizen or national, (ii) U.S. lawful permanent resident (green card holder), (iii) refugee under 8 U.S.C. 1157, or (iv) asylee under 8 U.S.C. 1158, (B) eligible to access the export controlled information without a required export authorization, or (C) eligible and reasonably likely to obtain the required export authorization from the applicable U.S. government agency. CoreWeave may, for legitimate business reasons, decline to pursue any export licensing process.

CoreWeave is The Essential Cloud for AI . Built for pioneers by pioneers, CoreWeave delivers a platform of technology, tools, and teams that enables innovators to build and scale AI with confidence. Trusted by leading AI labs, startups, and global enterprises, CoreWeave combines superior infrastructure performance with deep technical expertise to accelerate breakthroughs and turn compute into capability. Founded in 2017, CoreWeave became a publicly traded company (Nasdaq: CRWV) in March 2025. Learn more at . What You'll Do: The Object Storage Team at CoreWeave is responsible for the product capabilities and data plane function of CoreWeave's managed storage products. We build reliable, scalable storage solutions with segment leading performance. Storage engine works with engineering teams across infrastructure, compute, and platform to ensure our storage services meet the needs of the world's most demanding AI workloads. About the role: Design and Implement distributed storage solutions to support scaling data intensive AI workloads. Contribute to the development of exabyte-scale, S3-compatible object storage and integrate dedicated storage clusters into diverse customer environments. Work with technologies such as RDMA, GPU Direct Storage, and distributed filesystems protocols such as NFS or FUSE to optimize storage performance and efficiency. Lead efforts to improve the reliability, durability, security, and observability of our storage stack. Collaborate with operations teams to monitor, troubleshoot, and improve storage systems in production environments. Set the bar for developing metrics and dashboards to provide visibility into storage performance and health. Analyze telemetry and system data to drive improvements in throughput, latency, and resilience. Work cross-functionally with platform, product, and infrastructure teams to deliver seamless storage capabilities across the stack. Share your knowledge and mentor other engineers on best practices in building distributed, high-performance systems. Who You Are: Bachelor's, Master's, or PhD degree in Computer Science, Engineering, or a related field. 8-10+ years of experience working in storage systems engineering or infrastructure. Strong hands-on experience with object storage or distributed filesystems in production environments. Experience with one or more storage protocols (e.g. S3, NFS) and file systems such as Ceph, DAOS, or similar. Proficiency in a systems programming language such as Go, C, or Rust. Proficiency leveraging AI tools to augment software development. Familiarity with storage observability tools and telemetry pipelines (e.g., ClickHouse, Prometheus, Grafana). Experience working with cloud-native infrastructure, Kubernetes, and scalable system architectures. Wondering if you're a good fit? We believe in investing in our people, and value candidates who can bring their own diversified experiences to our teams - even if you aren't a 100% skill or experience match. Here are a few qualities we've found compatible with our team. If some of this describes you, we'd love to talk. You love to grow and push the boundaries of your expertise You're curious about distributed storage and the demands AI/ML workloads You're an expert in data persistence on physical media, high performance data transfer using RDMA, or resilient distributed systems. Why CoreWeave? At CoreWeave, we work hard, have fun, and move fast! We're in an exciting stage of hyper-growth that you will not want to miss out on. We're not afraid of a little chaos, and we're constantly learning. Our team cares deeply about how we build our product and how we work together, which is represented through our core values: Be Curious at Your Core Act Like an Owner Empower Employees Deliver Best-in-Class Client Experiences Achieve More Together We support and encourage an entrepreneurial outlook and independent thinking. We foster an environment that encourages collaboration and provides the opportunity to develop innovative solutions to complex problems. As we get set for take off, the growth opportunities within the organization are constantly expanding. You will be surrounded by some of the best talent in the industry, who will want to learn from you, too. Come join us! The base salary range for this role is $143,000 to $210,000. The starting salary will be determined based on job-related knowledge, skills, experience, and market location. We strive for both market alignment and internal equity when determining compensation. In addition to base salary, our total rewards package includes a discretionary bonus, equity awards, and a comprehensive benefits program (all based on eligibility). What We Offer The range we've posted represents the typical compensation range for this role. To determine actual compensation, we review the market rate for each candidate which can include a variety of factors. These include qualifications, experience, interview performance, and location. In addition to a competitive salary, we offer a variety of benefits to support your needs. The benefits below reflect our US-based offerings for full-time employees; for roles in other locations, benefits vary and are shared during the hiring process. These include: Medical, dental, and vision insurance - 100% paid for by CoreWeave Company-paid Life Insurance Voluntary supplemental life insurance Short and long-term disability insurance Flexible Spending Account Health Savings Account Tuition Reimbursement Ability to Participate in Employee Stock Purchase Program (ESPP) Mental Wellness Benefits through Spring Health Family-Forming support provided by Carrot Paid Parental Leave Flexible, full-service childcare support with Kinside 401(k) with a generous employer match Flexible PTO Catered lunch each day in our office and data center locations A casual work environment A work culture focused on innovative disruption California Applicants California Consumer Privacy Act Equal Opportunity & Accommodations CoreWeave is an equal opportunity employer, committed to fostering an inclusive and supportive workplace. All qualified applicants and candidates will receive consideration for employment without regard to race, color, religion, sex, disability, age, sexual orientation, gender identity, national origin, veteran status, or genetic information. As part of this commitment and consistent with the Americans with Disabilities Act (ADA) , CoreWeave will ensure that qualified applicants and candidates with disabilities are provided reasonable accommodations for the hiring process, unless such accommodation would cause an undue hardship. If reasonable accommodation is needed, please contact: . Export Control Compliance This position requires access to export controlled information. To conform to U.S. Government export regulations applicable to that information, applicant must either be (A) a U.S. person, defined as a (i) U.S. citizen or national, (ii) U.S. lawful permanent resident (green card holder), (iii) refugee under 8 U.S.C. 1157, or (iv) asylee under 8 U.S.C. 1158, (B) eligible to access the export controlled information without a required export authorization, or (C) eligible and reasonably likely to obtain the required export authorization from the applicable U.S. government agency. CoreWeave may, for legitimate business reasons, decline to pursue any export licensing process.

CoreWeave is The Essential Cloud for AI . Built for pioneers by pioneers, CoreWeave delivers a platform of technology, tools, and teams that enables innovators to build and scale AI with confidence. Trusted by leading AI labs, startups, and global enterprises, CoreWeave combines superior infrastructure performance with deep technical expertise to accelerate breakthroughs and turn compute into capability. Founded in 2017, CoreWeave became a publicly traded company (Nasdaq: CRWV) in March 2025. Learn more at . What You'll Do: The Object Storage Team at CoreWeave is responsible for the product capabilities and data plane function of CoreWeave's managed storage products. We build reliable, scalable storage solutions with segment leading performance. Storage engine works with engineering teams across infrastructure, compute, and platform to ensure our storage services meet the needs of the world's most demanding AI workloads. About the role: Design and Implement distributed storage solutions to support scaling data intensive AI workloads. Contribute to the development of exabyte-scale, S3-compatible object storage and integrate dedicated storage clusters into diverse customer environments. Work with technologies such as RDMA, GPU Direct Storage, and distributed filesystems protocols such as NFS or FUSE to optimize storage performance and efficiency. Lead efforts to improve the reliability, durability, security, and observability of our storage stack. Collaborate with operations teams to monitor, troubleshoot, and improve storage systems in production environments. Set the bar for developing metrics and dashboards to provide visibility into storage performance and health. Analyze telemetry and system data to drive improvements in throughput, latency, and resilience. Work cross-functionally with platform, product, and infrastructure teams to deliver seamless storage capabilities across the stack. Share your knowledge and mentor other engineers on best practices in building distributed, high-performance systems. Who You Are: Bachelor's, Master's, or PhD degree in Computer Science, Engineering, or a related field. 8-10+ years of experience working in storage systems engineering or infrastructure. Strong hands-on experience with object storage or distributed filesystems in production environments. Experience with one or more storage protocols (e.g. S3, NFS) and file systems such as Ceph, DAOS, or similar. Proficiency in a systems programming language such as Go, C, or Rust. Proficiency leveraging AI tools to augment software development. Familiarity with storage observability tools and telemetry pipelines (e.g., ClickHouse, Prometheus, Grafana). Experience working with cloud-native infrastructure, Kubernetes, and scalable system architectures. Wondering if you're a good fit? We believe in investing in our people, and value candidates who can bring their own diversified experiences to our teams - even if you aren't a 100% skill or experience match. Here are a few qualities we've found compatible with our team. If some of this describes you, we'd love to talk. You love to grow and push the boundaries of your expertise You're curious about distributed storage and the demands AI/ML workloads You're an expert in data persistence on physical media, high performance data transfer using RDMA, or resilient distributed systems. Why CoreWeave? At CoreWeave, we work hard, have fun, and move fast! We're in an exciting stage of hyper-growth that you will not want to miss out on. We're not afraid of a little chaos, and we're constantly learning. Our team cares deeply about how we build our product and how we work together, which is represented through our core values: Be Curious at Your Core Act Like an Owner Empower Employees Deliver Best-in-Class Client Experiences Achieve More Together We support and encourage an entrepreneurial outlook and independent thinking. We foster an environment that encourages collaboration and provides the opportunity to develop innovative solutions to complex problems. As we get set for take off, the growth opportunities within the organization are constantly expanding. You will be surrounded by some of the best talent in the industry, who will want to learn from you, too. Come join us! The base salary range for this role is $143,000 to $210,000. The starting salary will be determined based on job-related knowledge, skills, experience, and market location. We strive for both market alignment and internal equity when determining compensation. In addition to base salary, our total rewards package includes a discretionary bonus, equity awards, and a comprehensive benefits program (all based on eligibility). What We Offer The range we've posted represents the typical compensation range for this role. To determine actual compensation, we review the market rate for each candidate which can include a variety of factors. These include qualifications, experience, interview performance, and location. In addition to a competitive salary, we offer a variety of benefits to support your needs. The benefits below reflect our US-based offerings for full-time employees; for roles in other locations, benefits vary and are shared during the hiring process. These include: Medical, dental, and vision insurance - 100% paid for by CoreWeave Company-paid Life Insurance Voluntary supplemental life insurance Short and long-term disability insurance Flexible Spending Account Health Savings Account Tuition Reimbursement Ability to Participate in Employee Stock Purchase Program (ESPP) Mental Wellness Benefits through Spring Health Family-Forming support provided by Carrot Paid Parental Leave Flexible, full-service childcare support with Kinside 401(k) with a generous employer match Flexible PTO Catered lunch each day in our office and data center locations A casual work environment A work culture focused on innovative disruption California Applicants California Consumer Privacy Act Equal Opportunity & Accommodations CoreWeave is an equal opportunity employer, committed to fostering an inclusive and supportive workplace. All qualified applicants and candidates will receive consideration for employment without regard to race, color, religion, sex, disability, age, sexual orientation, gender identity, national origin, veteran status, or genetic information. As part of this commitment and consistent with the Americans with Disabilities Act (ADA) , CoreWeave will ensure that qualified applicants and candidates with disabilities are provided reasonable accommodations for the hiring process, unless such accommodation would cause an undue hardship. If reasonable accommodation is needed, please contact: . Export Control Compliance This position requires access to export controlled information. To conform to U.S. Government export regulations applicable to that information, applicant must either be (A) a U.S. person, defined as a (i) U.S. citizen or national, (ii) U.S. lawful permanent resident (green card holder), (iii) refugee under 8 U.S.C. 1157, or (iv) asylee under 8 U.S.C. 1158, (B) eligible to access the export controlled information without a required export authorization, or (C) eligible and reasonably likely to obtain the required export authorization from the applicable U.S. government agency. CoreWeave may, for legitimate business reasons, decline to pursue any export licensing process.

CoreWeave is The Essential Cloud for AI . Built for pioneers by pioneers, CoreWeave delivers a platform of technology, tools, and teams that enables innovators to build and scale AI with confidence. Trusted by leading AI labs, startups, and global enterprises, CoreWeave combines superior infrastructure performance with deep technical expertise to accelerate breakthroughs and turn compute into capability. Founded in 2017, CoreWeave became a publicly traded company (Nasdaq: CRWV) in March 2025. Learn more at . What You'll Do: The Object Storage Team at CoreWeave is responsible for the product capabilities and data plane function of CoreWeave's managed storage products. We build reliable, scalable storage solutions with segment leading performance. Storage engine works with engineering teams across infrastructure, compute, and platform to ensure our storage services meet the needs of the world's most demanding AI workloads. About the role: Design and Implement distributed storage solutions to support scaling data intensive AI workloads. Contribute to the development of exabyte-scale, S3-compatible object storage and integrate dedicated storage clusters into diverse customer environments. Work with technologies such as RDMA, GPU Direct Storage, and distributed filesystems protocols such as NFS or FUSE to optimize storage performance and efficiency. Lead efforts to improve the reliability, durability, security, and observability of our storage stack. Collaborate with operations teams to monitor, troubleshoot, and improve storage systems in production environments. Set the bar for developing metrics and dashboards to provide visibility into storage performance and health. Analyze telemetry and system data to drive improvements in throughput, latency, and resilience. Work cross-functionally with platform, product, and infrastructure teams to deliver seamless storage capabilities across the stack. Share your knowledge and mentor other engineers on best practices in building distributed, high-performance systems. Who You Are: Bachelor's, Master's, or PhD degree in Computer Science, Engineering, or a related field. 8-10+ years of experience working in storage systems engineering or infrastructure. Strong hands-on experience with object storage or distributed filesystems in production environments. Experience with one or more storage protocols (e.g. S3, NFS) and file systems such as Ceph, DAOS, or similar. Proficiency in a systems programming language such as Go, C, or Rust. Proficiency leveraging AI tools to augment software development. Familiarity with storage observability tools and telemetry pipelines (e.g., ClickHouse, Prometheus, Grafana). Experience working with cloud-native infrastructure, Kubernetes, and scalable system architectures. Wondering if you're a good fit? We believe in investing in our people, and value candidates who can bring their own diversified experiences to our teams - even if you aren't a 100% skill or experience match. Here are a few qualities we've found compatible with our team. If some of this describes you, we'd love to talk. You love to grow and push the boundaries of your expertise You're curious about distributed storage and the demands AI/ML workloads You're an expert in data persistence on physical media, high performance data transfer using RDMA, or resilient distributed systems. Why CoreWeave? At CoreWeave, we work hard, have fun, and move fast! We're in an exciting stage of hyper-growth that you will not want to miss out on. We're not afraid of a little chaos, and we're constantly learning. Our team cares deeply about how we build our product and how we work together, which is represented through our core values: Be Curious at Your Core Act Like an Owner Empower Employees Deliver Best-in-Class Client Experiences Achieve More Together We support and encourage an entrepreneurial outlook and independent thinking. We foster an environment that encourages collaboration and provides the opportunity to develop innovative solutions to complex problems. As we get set for take off, the growth opportunities within the organization are constantly expanding. You will be surrounded by some of the best talent in the industry, who will want to learn from you, too. Come join us! The base salary range for this role is $143,000 to $210,000. The starting salary will be determined based on job-related knowledge, skills, experience, and market location. We strive for both market alignment and internal equity when determining compensation. In addition to base salary, our total rewards package includes a discretionary bonus, equity awards, and a comprehensive benefits program (all based on eligibility). What We Offer The range we've posted represents the typical compensation range for this role. To determine actual compensation, we review the market rate for each candidate which can include a variety of factors. These include qualifications, experience, interview performance, and location. In addition to a competitive salary, we offer a variety of benefits to support your needs. The benefits below reflect our US-based offerings for full-time employees; for roles in other locations, benefits vary and are shared during the hiring process. These include: Medical, dental, and vision insurance - 100% paid for by CoreWeave Company-paid Life Insurance Voluntary supplemental life insurance Short and long-term disability insurance Flexible Spending Account Health Savings Account Tuition Reimbursement Ability to Participate in Employee Stock Purchase Program (ESPP) Mental Wellness Benefits through Spring Health Family-Forming support provided by Carrot Paid Parental Leave Flexible, full-service childcare support with Kinside 401(k) with a generous employer match Flexible PTO Catered lunch each day in our office and data center locations A casual work environment A work culture focused on innovative disruption California Applicants California Consumer Privacy Act Equal Opportunity & Accommodations CoreWeave is an equal opportunity employer, committed to fostering an inclusive and supportive workplace. All qualified applicants and candidates will receive consideration for employment without regard to race, color, religion, sex, disability, age, sexual orientation, gender identity, national origin, veteran status, or genetic information. As part of this commitment and consistent with the Americans with Disabilities Act (ADA) , CoreWeave will ensure that qualified applicants and candidates with disabilities are provided reasonable accommodations for the hiring process, unless such accommodation would cause an undue hardship. If reasonable accommodation is needed, please contact: . Export Control Compliance This position requires access to export controlled information. To conform to U.S. Government export regulations applicable to that information, applicant must either be (A) a U.S. person, defined as a (i) U.S. citizen or national, (ii) U.S. lawful permanent resident (green card holder), (iii) refugee under 8 U.S.C. 1157, or (iv) asylee under 8 U.S.C. 1158, (B) eligible to access the export controlled information without a required export authorization, or (C) eligible and reasonably likely to obtain the required export authorization from the applicable U.S. government agency. CoreWeave may, for legitimate business reasons, decline to pursue any export licensing process.

Workforce Classification: Telecommuter Join Our Team: Do Meaningful Work and Improve People's Lives Our purpose, to improve customers' lives by making healthcare work better, is far from ordinary. And so are our employees. Working at Premera means you have the opportunity to drive real change by transforming healthcare. Premera is committed to being a workplace where people feel empowered to grow, innovate, and lead with purpose. By investing in our employees and fostering a culture of collaboration and continuous development, we're able to better serve our customers. It's this commitment that has earned us recognition as one of the best companies to work for. Learn more about our recent awards and recognitions as a greatest workplace. Learn how Premera supports our members, customers and the communities that we serve through our Healthsource blog: . As an AI Engineer III, you will work within a team responsible for taking AI/ML solutions from initial concept to full production implementation. This role requires creativity and analytical skills to understand business challenges, propose AI-enabled solutions, and bring them to life through robust system design, modeling, and coding. You will collaborate cross-functionally to ideate and prototype new AI products. Your models, architectures, and software contributions will power innovative AI systems that solve complex problems at scale. To excel in this role, you will need hands-on experience rapidly developing and deploying ML algorithms alongside strong software engineering abilities to build reliable and maintainable AI infrastructure. This is a remote/telecommuter position, working from home. What you'll do: Develop comprehensive systems and frameworks for AI applications and products. Construct prototypes and minimum viable products to validate AI/ML solutions before committing substantial resources. Develop, refine, and productionize AI systems using cloud resources such as Azure OpenAI, Azure ML, and Cognitive Services. Contribute to the creation of robust data pipelines for model evolution and production systems. Develop specifications for low latency APIs and services necessary to deploy AI models and incorporate them into applications. Supervise and sustain AI systems in production to guarantee consistent model accuracy and reliability. Actively participate in a team that exercises principled, agile-like development practices. Create and maintain thorough documentation that is consistent with team procedures, corporate policies, and expectations. Ensure peer review on all assigned work, as well as conduct peer reviews over the work of others as requested. Guide junior AI engineers on AI/ML and industry best practices and methodologies. Keep abreast of new tools and concepts through reading documentation or literature and actively practicing skills development. Support and participate in meetings with external stakeholders. What you'll bring: Minimum Qualifications Bachelor's Degree in Computer Science, Statistics, Mathematics, or a related field, or 2+ years of experience in a related, professional IT/analytics position. Minimum of 3 years of industry experience in developing, deploying, and maintaining AI or ML systems. Up to two years of industry experience may be substituted with an AI centered Master's/PhD or AI Engineering certifications. Preferred Qualifications At least 4 years of experience in developing deep learning models using TensorFlow, PyTorch, MLX, JAX, or other modern deep learning frameworks. Previous experience with older libraries like Theano or Caffe is also accepted. (May supplement with graduate level education or research experience). Knowledge of and experience in implementing ethical AI practices, with at least 2 years spent working on projects that require explainable AI, fairness, and bias mitigation. Minimum of 3 years of proficiency in utilizing advanced prompt engineering techniques like General Knowledge Prompting and ReAct. Adept at using libraries like LangChain or OpenPrompt for complex projects. Possess the capability to mitigate prompt injection attacks and use tools like Guardrails or PromptInject for securing prompt engineering pipelines. Minimum of 3 years of experience in successfully productionizing AI models, including constructing scalable data pipelines and establishing robust monitoring systems. 3 or more years working within Agile-like teams and environments. Knowledge, Skills, and Abilities Experience developing deep learning architectures such as CNNs, transformers, GANs, LSTMs, GNNs, Autoencoders, Diffusion Models, and Neural Ordinary Differential Equations (NODEs). Proficiency in debugging AI systems and enhancing performance through hyperparameter tuning and similar techniques. Proven experience in productionizing models by constructing scalable data pipelines, low-latency services, and robust monitoring. Familiarity with software design patterns, microservices, distributed computing, container orchestration, and other relevant architectures. Proficient software engineering skills as well as skills building secure, stable software systems at scale. Proficiency in developing and optimizing ML solutions using languages like Python, and libraries such as NumPy, Pandas, Matplotlib and scikit-learn. Familiarity working with traditional ML lifecycles. Familiarity with building minimal interfaces to interact with AI products, e.g., Streamlit or Shiny. Familiarity with ethical AI practices including explainable AI, fairness, and mitigation of bias/hallucinations. Strong communication, collaboration, and mentorship skills. Growing ability to articulate the technical details and tradeoffs of AI solutions to non-technical stakeholders in a clear and concise manner. Physical Requirements The following have been identified as essential physical requirements of this job and must be performed with or without an accommodation: This is primarily a sedentary role which requires the ability to exert up to 10 lbs. of force occasionally and/or a negligible amount of force frequently or constantly to lift, carry, push, pull, or otherwise move objects, including the human body. This role requires the ability to keyboard and to communicate clearly and understandably in person and over the telephone. Premera total rewards Our comprehensive total rewards package provides support, resources, and opportunities to help employees thrive and grow. Our total rewards are more than a collection of perks, they're a reflection of our commitment to your health and well-being. We offer a broad array of rewards including physical, financial, emotional, and community benefits, including: Medical, vision, and dental coverage with low employee premiums. Voluntary benefit offerings, including pet insurance for paw parents. Life and disability insurance. Retirement programs, including a 401K employer match and, believe it or not, a pension plan that is vested after 3 years of service. Wellness incentives with a wide range of mental well-being resources for you and your dependents, including counseling services, stress management programs, and mindfulness programs, just to name a few. Generous paid time off to reenergize. Looking for continuing education? We have tuition assistance for both undergraduate and graduate degrees. Employee recognition program to celebrate anniversaries, team accomplishments, and more. For our hybrid employees, our on-campus model provides flexibility to create your own routine with access to on-site resources, networking opportunities, and team engagement. Commuter perks make your trip to work less impactful on the environment and your wallet. Free convenient on-site parking. Subsidized on-campus cafes make lunchtime connections with colleagues fun and affordable. Participate in engaging on-site activities such as health and wellness events, coffee connects, disaster preparedness fairs and more. Our complementary fitness & well-being center offers both in-person and virtual workouts and nutritional counseling. Need a brain break? Challenge someone to a game of shuffleboard or ping pong while on campus. Equal employment opportunity/affirmative action: Premera is an equal opportunity/affirmative action employer. Premera seeks to attract and retain the most qualified individuals without regard to race, color, religion, sex, national origin, age, disability, marital status, veteran status, gender or gender identity, sexual orientation, genetic information or any other protected characteristic under applicable law. If you need an accommodation to apply online for positions at Premera, please contact Premera Human Resources via email at or via phone at . Premera is hiring in the following states, with some limitations based on role or city: Alaska, Arizona, Arkansas, California, Colorado, Florida, Georgia, Idaho, Iowa, Kansas, Kentucky, Maine, Michigan, Minnesota, Missouri, Montana, Nevada, New Hampshire, New Mexico, North Carolina, Oklahoma, Oregon, South Carolina, South Dakota, Tennessee, Texas, Utah, Washington, Wisconsin . The pay for this role will vary based on a range of factors including . click apply for full job details

Workforce Classification: Telecommuter Join Our Team: Do Meaningful Work and Improve People's Lives Our purpose, to improve customers' lives by making healthcare work better, is far from ordinary. And so are our employees. Working at Premera means you have the opportunity to drive real change by transforming healthcare. Premera is committed to being a workplace where people feel empowered to grow, innovate, and lead with purpose. By investing in our employees and fostering a culture of collaboration and continuous development, we're able to better serve our customers. It's this commitment that has earned us recognition as one of the best companies to work for. Learn more about our recent awards and recognitions as a greatest workplace. Learn how Premera supports our members, customers and the communities that we serve through our Healthsource blog: . As an AI Engineer III, you will work within a team responsible for taking AI/ML solutions from initial concept to full production implementation. This role requires creativity and analytical skills to understand business challenges, propose AI-enabled solutions, and bring them to life through robust system design, modeling, and coding. You will collaborate cross-functionally to ideate and prototype new AI products. Your models, architectures, and software contributions will power innovative AI systems that solve complex problems at scale. To excel in this role, you will need hands-on experience rapidly developing and deploying ML algorithms alongside strong software engineering abilities to build reliable and maintainable AI infrastructure. This is a remote/telecommuter position, working from home. What you'll do: Develop comprehensive systems and frameworks for AI applications and products. Construct prototypes and minimum viable products to validate AI/ML solutions before committing substantial resources. Develop, refine, and productionize AI systems using cloud resources such as Azure OpenAI, Azure ML, and Cognitive Services. Contribute to the creation of robust data pipelines for model evolution and production systems. Develop specifications for low latency APIs and services necessary to deploy AI models and incorporate them into applications. Supervise and sustain AI systems in production to guarantee consistent model accuracy and reliability. Actively participate in a team that exercises principled, agile-like development practices. Create and maintain thorough documentation that is consistent with team procedures, corporate policies, and expectations. Ensure peer review on all assigned work, as well as conduct peer reviews over the work of others as requested. Guide junior AI engineers on AI/ML and industry best practices and methodologies. Keep abreast of new tools and concepts through reading documentation or literature and actively practicing skills development. Support and participate in meetings with external stakeholders. What you'll bring: Minimum Qualifications Bachelor's Degree in Computer Science, Statistics, Mathematics, or a related field, or 2+ years of experience in a related, professional IT/analytics position. Minimum of 3 years of industry experience in developing, deploying, and maintaining AI or ML systems. Up to two years of industry experience may be substituted with an AI centered Master's/PhD or AI Engineering certifications. Preferred Qualifications At least 4 years of experience in developing deep learning models using TensorFlow, PyTorch, MLX, JAX, or other modern deep learning frameworks. Previous experience with older libraries like Theano or Caffe is also accepted. (May supplement with graduate level education or research experience). Knowledge of and experience in implementing ethical AI practices, with at least 2 years spent working on projects that require explainable AI, fairness, and bias mitigation. Minimum of 3 years of proficiency in utilizing advanced prompt engineering techniques like General Knowledge Prompting and ReAct. Adept at using libraries like LangChain or OpenPrompt for complex projects. Possess the capability to mitigate prompt injection attacks and use tools like Guardrails or PromptInject for securing prompt engineering pipelines. Minimum of 3 years of experience in successfully productionizing AI models, including constructing scalable data pipelines and establishing robust monitoring systems. 3 or more years working within Agile-like teams and environments. Knowledge, Skills, and Abilities Experience developing deep learning architectures such as CNNs, transformers, GANs, LSTMs, GNNs, Autoencoders, Diffusion Models, and Neural Ordinary Differential Equations (NODEs). Proficiency in debugging AI systems and enhancing performance through hyperparameter tuning and similar techniques. Proven experience in productionizing models by constructing scalable data pipelines, low-latency services, and robust monitoring. Familiarity with software design patterns, microservices, distributed computing, container orchestration, and other relevant architectures. Proficient software engineering skills as well as skills building secure, stable software systems at scale. Proficiency in developing and optimizing ML solutions using languages like Python, and libraries such as NumPy, Pandas, Matplotlib and scikit-learn. Familiarity working with traditional ML lifecycles. Familiarity with building minimal interfaces to interact with AI products, e.g., Streamlit or Shiny. Familiarity with ethical AI practices including explainable AI, fairness, and mitigation of bias/hallucinations. Strong communication, collaboration, and mentorship skills. Growing ability to articulate the technical details and tradeoffs of AI solutions to non-technical stakeholders in a clear and concise manner. Physical Requirements The following have been identified as essential physical requirements of this job and must be performed with or without an accommodation: This is primarily a sedentary role which requires the ability to exert up to 10 lbs. of force occasionally and/or a negligible amount of force frequently or constantly to lift, carry, push, pull, or otherwise move objects, including the human body. This role requires the ability to keyboard and to communicate clearly and understandably in person and over the telephone. Premera total rewards Our comprehensive total rewards package provides support, resources, and opportunities to help employees thrive and grow. Our total rewards are more than a collection of perks, they're a reflection of our commitment to your health and well-being. We offer a broad array of rewards including physical, financial, emotional, and community benefits, including: Medical, vision, and dental coverage with low employee premiums. Voluntary benefit offerings, including pet insurance for paw parents. Life and disability insurance. Retirement programs, including a 401K employer match and, believe it or not, a pension plan that is vested after 3 years of service. Wellness incentives with a wide range of mental well-being resources for you and your dependents, including counseling services, stress management programs, and mindfulness programs, just to name a few. Generous paid time off to reenergize. Looking for continuing education? We have tuition assistance for both undergraduate and graduate degrees. Employee recognition program to celebrate anniversaries, team accomplishments, and more. For our hybrid employees, our on-campus model provides flexibility to create your own routine with access to on-site resources, networking opportunities, and team engagement. Commuter perks make your trip to work less impactful on the environment and your wallet. Free convenient on-site parking. Subsidized on-campus cafes make lunchtime connections with colleagues fun and affordable. Participate in engaging on-site activities such as health and wellness events, coffee connects, disaster preparedness fairs and more. Our complementary fitness & well-being center offers both in-person and virtual workouts and nutritional counseling. Need a brain break? Challenge someone to a game of shuffleboard or ping pong while on campus. Equal employment opportunity/affirmative action: Premera is an equal opportunity/affirmative action employer. Premera seeks to attract and retain the most qualified individuals without regard to race, color, religion, sex, national origin, age, disability, marital status, veteran status, gender or gender identity, sexual orientation, genetic information or any other protected characteristic under applicable law. If you need an accommodation to apply online for positions at Premera, please contact Premera Human Resources via email at or via phone at . Premera is hiring in the following states, with some limitations based on role or city: Alaska, Arizona, Arkansas, California, Colorado, Florida, Georgia, Idaho, Iowa, Kansas, Kentucky, Maine, Michigan, Minnesota, Missouri, Montana, Nevada, New Hampshire, New Mexico, North Carolina, Oklahoma, Oregon, South Carolina, South Dakota, Tennessee, Texas, Utah, Washington, Wisconsin . The pay for this role will vary based on a range of factors including . click apply for full job details

Workforce Classification: Telecommuter Join Our Team: Do Meaningful Work and Improve People's Lives Our purpose, to improve customers' lives by making healthcare work better, is far from ordinary. And so are our employees. Working at Premera means you have the opportunity to drive real change by transforming healthcare. Premera is committed to being a workplace where people feel empowered to grow, innovate, and lead with purpose. By investing in our employees and fostering a culture of collaboration and continuous development, we're able to better serve our customers. It's this commitment that has earned us recognition as one of the best companies to work for. Learn more about our recent awards and recognitions as a greatest workplace. Learn how Premera supports our members, customers and the communities that we serve through our Healthsource blog: . As an AI Engineer III, you will work within a team responsible for taking AI/ML solutions from initial concept to full production implementation. This role requires creativity and analytical skills to understand business challenges, propose AI-enabled solutions, and bring them to life through robust system design, modeling, and coding. You will collaborate cross-functionally to ideate and prototype new AI products. Your models, architectures, and software contributions will power innovative AI systems that solve complex problems at scale. To excel in this role, you will need hands-on experience rapidly developing and deploying ML algorithms alongside strong software engineering abilities to build reliable and maintainable AI infrastructure. This is a remote/telecommuter position, working from home. What you'll do: Develop comprehensive systems and frameworks for AI applications and products. Construct prototypes and minimum viable products to validate AI/ML solutions before committing substantial resources. Develop, refine, and productionize AI systems using cloud resources such as Azure OpenAI, Azure ML, and Cognitive Services. Contribute to the creation of robust data pipelines for model evolution and production systems. Develop specifications for low latency APIs and services necessary to deploy AI models and incorporate them into applications. Supervise and sustain AI systems in production to guarantee consistent model accuracy and reliability. Actively participate in a team that exercises principled, agile-like development practices. Create and maintain thorough documentation that is consistent with team procedures, corporate policies, and expectations. Ensure peer review on all assigned work, as well as conduct peer reviews over the work of others as requested. Guide junior AI engineers on AI/ML and industry best practices and methodologies. Keep abreast of new tools and concepts through reading documentation or literature and actively practicing skills development. Support and participate in meetings with external stakeholders. What you'll bring: Minimum Qualifications Bachelor's Degree in Computer Science, Statistics, Mathematics, or a related field, or 2+ years of experience in a related, professional IT/analytics position. Minimum of 3 years of industry experience in developing, deploying, and maintaining AI or ML systems. Up to two years of industry experience may be substituted with an AI centered Master's/PhD or AI Engineering certifications. Preferred Qualifications At least 4 years of experience in developing deep learning models using TensorFlow, PyTorch, MLX, JAX, or other modern deep learning frameworks. Previous experience with older libraries like Theano or Caffe is also accepted. (May supplement with graduate level education or research experience). Knowledge of and experience in implementing ethical AI practices, with at least 2 years spent working on projects that require explainable AI, fairness, and bias mitigation. Minimum of 3 years of proficiency in utilizing advanced prompt engineering techniques like General Knowledge Prompting and ReAct. Adept at using libraries like LangChain or OpenPrompt for complex projects. Possess the capability to mitigate prompt injection attacks and use tools like Guardrails or PromptInject for securing prompt engineering pipelines. Minimum of 3 years of experience in successfully productionizing AI models, including constructing scalable data pipelines and establishing robust monitoring systems. 3 or more years working within Agile-like teams and environments. Knowledge, Skills, and Abilities Experience developing deep learning architectures such as CNNs, transformers, GANs, LSTMs, GNNs, Autoencoders, Diffusion Models, and Neural Ordinary Differential Equations (NODEs). Proficiency in debugging AI systems and enhancing performance through hyperparameter tuning and similar techniques. Proven experience in productionizing models by constructing scalable data pipelines, low-latency services, and robust monitoring. Familiarity with software design patterns, microservices, distributed computing, container orchestration, and other relevant architectures. Proficient software engineering skills as well as skills building secure, stable software systems at scale. Proficiency in developing and optimizing ML solutions using languages like Python, and libraries such as NumPy, Pandas, Matplotlib and scikit-learn. Familiarity working with traditional ML lifecycles. Familiarity with building minimal interfaces to interact with AI products, e.g., Streamlit or Shiny. Familiarity with ethical AI practices including explainable AI, fairness, and mitigation of bias/hallucinations. Strong communication, collaboration, and mentorship skills. Growing ability to articulate the technical details and tradeoffs of AI solutions to non-technical stakeholders in a clear and concise manner. Physical Requirements The following have been identified as essential physical requirements of this job and must be performed with or without an accommodation: This is primarily a sedentary role which requires the ability to exert up to 10 lbs. of force occasionally and/or a negligible amount of force frequently or constantly to lift, carry, push, pull, or otherwise move objects, including the human body. This role requires the ability to keyboard and to communicate clearly and understandably in person and over the telephone. Premera total rewards Our comprehensive total rewards package provides support, resources, and opportunities to help employees thrive and grow. Our total rewards are more than a collection of perks, they're a reflection of our commitment to your health and well-being. We offer a broad array of rewards including physical, financial, emotional, and community benefits, including: Medical, vision, and dental coverage with low employee premiums. Voluntary benefit offerings, including pet insurance for paw parents. Life and disability insurance. Retirement programs, including a 401K employer match and, believe it or not, a pension plan that is vested after 3 years of service. Wellness incentives with a wide range of mental well-being resources for you and your dependents, including counseling services, stress management programs, and mindfulness programs, just to name a few. Generous paid time off to reenergize. Looking for continuing education? We have tuition assistance for both undergraduate and graduate degrees. Employee recognition program to celebrate anniversaries, team accomplishments, and more. For our hybrid employees, our on-campus model provides flexibility to create your own routine with access to on-site resources, networking opportunities, and team engagement. Commuter perks make your trip to work less impactful on the environment and your wallet. Free convenient on-site parking. Subsidized on-campus cafes make lunchtime connections with colleagues fun and affordable. Participate in engaging on-site activities such as health and wellness events, coffee connects, disaster preparedness fairs and more. Our complementary fitness & well-being center offers both in-person and virtual workouts and nutritional counseling. Need a brain break? Challenge someone to a game of shuffleboard or ping pong while on campus. Equal employment opportunity/affirmative action: Premera is an equal opportunity/affirmative action employer. Premera seeks to attract and retain the most qualified individuals without regard to race, color, religion, sex, national origin, age, disability, marital status, veteran status, gender or gender identity, sexual orientation, genetic information or any other protected characteristic under applicable law. If you need an accommodation to apply online for positions at Premera, please contact Premera Human Resources via email at or via phone at . Premera is hiring in the following states, with some limitations based on role or city: Alaska, Arizona, Arkansas, California, Colorado, Florida, Georgia, Idaho, Iowa, Kansas, Kentucky, Maine, Michigan, Minnesota, Missouri, Montana, Nevada, New Hampshire, New Mexico, North Carolina, Oklahoma, Oregon, South Carolina, South Dakota, Tennessee, Texas, Utah, Washington, Wisconsin . The pay for this role will vary based on a range of factors including . click apply for full job details

Workforce Classification: Telecommuter Join Our Team: Do Meaningful Work and Improve People's Lives Our purpose, to improve customers' lives by making healthcare work better, is far from ordinary. And so are our employees. Working at Premera means you have the opportunity to drive real change by transforming healthcare. Premera is committed to being a workplace where people feel empowered to grow, innovate, and lead with purpose. By investing in our employees and fostering a culture of collaboration and continuous development, we're able to better serve our customers. It's this commitment that has earned us recognition as one of the best companies to work for. Learn more about our recent awards and recognitions as a greatest workplace. Learn how Premera supports our members, customers and the communities that we serve through our Healthsource blog: . As an AI Engineer III, you will work within a team responsible for taking AI/ML solutions from initial concept to full production implementation. This role requires creativity and analytical skills to understand business challenges, propose AI-enabled solutions, and bring them to life through robust system design, modeling, and coding. You will collaborate cross-functionally to ideate and prototype new AI products. Your models, architectures, and software contributions will power innovative AI systems that solve complex problems at scale. To excel in this role, you will need hands-on experience rapidly developing and deploying ML algorithms alongside strong software engineering abilities to build reliable and maintainable AI infrastructure. This is a remote/telecommuter position, working from home. What you'll do: Develop comprehensive systems and frameworks for AI applications and products. Construct prototypes and minimum viable products to validate AI/ML solutions before committing substantial resources. Develop, refine, and productionize AI systems using cloud resources such as Azure OpenAI, Azure ML, and Cognitive Services. Contribute to the creation of robust data pipelines for model evolution and production systems. Develop specifications for low latency APIs and services necessary to deploy AI models and incorporate them into applications. Supervise and sustain AI systems in production to guarantee consistent model accuracy and reliability. Actively participate in a team that exercises principled, agile-like development practices. Create and maintain thorough documentation that is consistent with team procedures, corporate policies, and expectations. Ensure peer review on all assigned work, as well as conduct peer reviews over the work of others as requested. Guide junior AI engineers on AI/ML and industry best practices and methodologies. Keep abreast of new tools and concepts through reading documentation or literature and actively practicing skills development. Support and participate in meetings with external stakeholders. What you'll bring: Minimum Qualifications Bachelor's Degree in Computer Science, Statistics, Mathematics, or a related field, or 2+ years of experience in a related, professional IT/analytics position. Minimum of 3 years of industry experience in developing, deploying, and maintaining AI or ML systems. Up to two years of industry experience may be substituted with an AI centered Master's/PhD or AI Engineering certifications. Preferred Qualifications At least 4 years of experience in developing deep learning models using TensorFlow, PyTorch, MLX, JAX, or other modern deep learning frameworks. Previous experience with older libraries like Theano or Caffe is also accepted. (May supplement with graduate level education or research experience). Knowledge of and experience in implementing ethical AI practices, with at least 2 years spent working on projects that require explainable AI, fairness, and bias mitigation. Minimum of 3 years of proficiency in utilizing advanced prompt engineering techniques like General Knowledge Prompting and ReAct. Adept at using libraries like LangChain or OpenPrompt for complex projects. Possess the capability to mitigate prompt injection attacks and use tools like Guardrails or PromptInject for securing prompt engineering pipelines. Minimum of 3 years of experience in successfully productionizing AI models, including constructing scalable data pipelines and establishing robust monitoring systems. 3 or more years working within Agile-like teams and environments. Knowledge, Skills, and Abilities Experience developing deep learning architectures such as CNNs, transformers, GANs, LSTMs, GNNs, Autoencoders, Diffusion Models, and Neural Ordinary Differential Equations (NODEs). Proficiency in debugging AI systems and enhancing performance through hyperparameter tuning and similar techniques. Proven experience in productionizing models by constructing scalable data pipelines, low-latency services, and robust monitoring. Familiarity with software design patterns, microservices, distributed computing, container orchestration, and other relevant architectures. Proficient software engineering skills as well as skills building secure, stable software systems at scale. Proficiency in developing and optimizing ML solutions using languages like Python, and libraries such as NumPy, Pandas, Matplotlib and scikit-learn. Familiarity working with traditional ML lifecycles. Familiarity with building minimal interfaces to interact with AI products, e.g., Streamlit or Shiny. Familiarity with ethical AI practices including explainable AI, fairness, and mitigation of bias/hallucinations. Strong communication, collaboration, and mentorship skills. Growing ability to articulate the technical details and tradeoffs of AI solutions to non-technical stakeholders in a clear and concise manner. Physical Requirements The following have been identified as essential physical requirements of this job and must be performed with or without an accommodation: This is primarily a sedentary role which requires the ability to exert up to 10 lbs. of force occasionally and/or a negligible amount of force frequently or constantly to lift, carry, push, pull, or otherwise move objects, including the human body. This role requires the ability to keyboard and to communicate clearly and understandably in person and over the telephone. Premera total rewards Our comprehensive total rewards package provides support, resources, and opportunities to help employees thrive and grow. Our total rewards are more than a collection of perks, they're a reflection of our commitment to your health and well-being. We offer a broad array of rewards including physical, financial, emotional, and community benefits, including: Medical, vision, and dental coverage with low employee premiums. Voluntary benefit offerings, including pet insurance for paw parents. Life and disability insurance. Retirement programs, including a 401K employer match and, believe it or not, a pension plan that is vested after 3 years of service. Wellness incentives with a wide range of mental well-being resources for you and your dependents, including counseling services, stress management programs, and mindfulness programs, just to name a few. Generous paid time off to reenergize. Looking for continuing education? We have tuition assistance for both undergraduate and graduate degrees. Employee recognition program to celebrate anniversaries, team accomplishments, and more. For our hybrid employees, our on-campus model provides flexibility to create your own routine with access to on-site resources, networking opportunities, and team engagement. Commuter perks make your trip to work less impactful on the environment and your wallet. Free convenient on-site parking. Subsidized on-campus cafes make lunchtime connections with colleagues fun and affordable. Participate in engaging on-site activities such as health and wellness events, coffee connects, disaster preparedness fairs and more. Our complementary fitness & well-being center offers both in-person and virtual workouts and nutritional counseling. Need a brain break? Challenge someone to a game of shuffleboard or ping pong while on campus. Equal employment opportunity/affirmative action: Premera is an equal opportunity/affirmative action employer. Premera seeks to attract and retain the most qualified individuals without regard to race, color, religion, sex, national origin, age, disability, marital status, veteran status, gender or gender identity, sexual orientation, genetic information or any other protected characteristic under applicable law. If you need an accommodation to apply online for positions at Premera, please contact Premera Human Resources via email at or via phone at . Premera is hiring in the following states, with some limitations based on role or city: Alaska, Arizona, Arkansas, California, Colorado, Florida, Georgia, Idaho, Iowa, Kansas, Kentucky, Maine, Michigan, Minnesota, Missouri, Montana, Nevada, New Hampshire, New Mexico, North Carolina, Oklahoma, Oregon, South Carolina, South Dakota, Tennessee, Texas, Utah, Washington, Wisconsin . The pay for this role will vary based on a range of factors including . click apply for full job details

CoreWeave is The Essential Cloud for AI . Built for pioneers by pioneers, CoreWeave delivers a platform of technology, tools, and teams that enables innovators to build and scale AI with confidence. Trusted by leading AI labs, startups, and global enterprises, CoreWeave combines superior infrastructure performance with deep technical expertise to accelerate breakthroughs and turn compute into capability. Founded in 2017, CoreWeave became a publicly traded company (Nasdaq: CRWV) in March 2025. Learn more at . What You'll Do: Inference Platform Team The Inference team builds and operates CoreWeave's Kubernetes-native inference platform, powering low-latency, high-throughput AI workloads at massive scale. The team is responsible for request routing, scheduling, GPU resource management, and system-wide optimizations that drive performance, efficiency, and reliability across real-time inference systems. About the role: As a Staff Software Engineer (IC5) on the Inference team, you will act as a technical leader driving architecture, performance, and reliability across multiple services and teams. Your day-to-day will involve leading cross-team design initiatives, optimizing inference performance (latency, throughput, and GPU utilization), and improving system reliability at scale. You will work deeply in distributed systems and Kubernetes-based infrastructure, focusing on areas like scheduling, batching, and memory optimization. This role requires hands-on technical leadership and the ability to influence engineering direction across the organization. Who You Are: 8-12+ years of experience building and operating large-scale distributed systems or cloud platforms Proven experience leading cross-team technical initiatives impacting multiple services or organizations Strong programming skills in Go, Python, or C++ Deep expertise in Kubernetes at production scale, including orchestration, scheduling, and service design Strong understanding of distributed systems, networking, and performance optimization Experience designing and operating low-latency, high-throughput systems with strict P95/P99 latency requirements Hands-on experience with inference systems, including batching or micro-batching strategies, caching, and memory optimization Experience improving system performance using metrics-driven approaches (e.g., latency, throughput, utilization) Familiarity with mixed precision (BF16, FP8) and streaming inference workloads Preferred: Experience with inference frameworks such as vLLM, Triton, TensorRT-LLM, Ray Serve, or TorchServe Experience with GPU systems and performance optimization (CUDA, NCCL, RDMA, NUMA, GPU interconnects) Experience leading multi-team or org-level technical initiatives Exposure to large-scale AI/ML infrastructure or hyperscale cloud environments Wondering if you're a good fit? We believe in investing in our people, and value candidates who can bring their own diversified experiences to our teams - even if you aren't a 100% skill or experience match. Here are a few qualities we've found compatible with our team. If some of this describes you, we'd love to talk. You love to design and optimize high-performance distributed systems at scale You're curious about AI inference, GPU systems, and emerging performance techniques You're an expert in building reliable, low-latency infrastructure and driving system-wide improvements Why CoreWeave? At CoreWeave, we work hard, have fun, and move fast! We're in an exciting stage of hyper-growth that you will not want to miss out on. We're not afraid of a little chaos, and we're constantly learning. Our team cares deeply about how we build our product and how we work together, which is represented through our core values: Be Curious at Your Core Act Like an Owner Empower Employees Deliver Best-in-Class Client Experiences Achieve More Together We support and encourage an entrepreneurial outlook and independent thinking. We foster an environment that encourages collaboration and enables the development of innovative solutions to complex problems. As we get set for takeoff, the organization's growth opportunities are constantly expanding. You will be surrounded by some of the best talent in the industry, who will want to learn from you, too. Come join us! The base salary range for this role is $188,000 to $275,000. The starting salary will be determined based on job-related knowledge, skills, experience, and market location. We strive for both market alignment and internal equity when determining compensation. In addition to base salary, our total rewards package includes a discretionary bonus, equity awards, and a comprehensive benefits program (all based on eligibility). What We Offer The range we've posted represents the typical compensation range for this role. To determine actual compensation, we review the market rate for each candidate which can include a variety of factors. These include qualifications, experience, interview performance, and location. In addition to a competitive salary, we offer a variety of benefits to support your needs. The benefits below reflect our US-based offerings for full-time employees; for roles in other locations, benefits vary and are shared during the hiring process. These include: Medical, dental, and vision insurance - 100% paid for by CoreWeave Company-paid Life Insurance Voluntary supplemental life insurance Short and long-term disability insurance Flexible Spending Account Health Savings Account Tuition Reimbursement Ability to Participate in Employee Stock Purchase Program (ESPP) Mental Wellness Benefits through Spring Health Family-Forming support provided by Carrot Paid Parental Leave Flexible, full-service childcare support with Kinside 401(k) with a generous employer match Flexible PTO Catered lunch each day in our office and data center locations A casual work environment A work culture focused on innovative disruption California Applicants California Consumer Privacy Act Equal Opportunity & Accommodations CoreWeave is an equal opportunity employer, committed to fostering an inclusive and supportive workplace. All qualified applicants and candidates will receive consideration for employment without regard to race, color, religion, sex, disability, age, sexual orientation, gender identity, national origin, veteran status, or genetic information. As part of this commitment and consistent with the Americans with Disabilities Act (ADA) , CoreWeave will ensure that qualified applicants and candidates with disabilities are provided reasonable accommodations for the hiring process, unless such accommodation would cause an undue hardship. If reasonable accommodation is needed, please contact: . Export Control Compliance This position requires access to export controlled information. To conform to U.S. Government export regulations applicable to that information, applicant must either be (A) a U.S. person, defined as a (i) U.S. citizen or national, (ii) U.S. lawful permanent resident (green card holder), (iii) refugee under 8 U.S.C. 1157, or (iv) asylee under 8 U.S.C. 1158, (B) eligible to access the export controlled information without a required export authorization, or (C) eligible and reasonably likely to obtain the required export authorization from the applicable U.S. government agency. CoreWeave may, for legitimate business reasons, decline to pursue any export licensing process.

Workforce Classification: Telecommuter Join Our Team: Do Meaningful Work and Improve People's Lives Our purpose, to improve customers' lives by making healthcare work better, is far from ordinary. And so are our employees. Working at Premera means you have the opportunity to drive real change by transforming healthcare. Premera is committed to being a workplace where people feel empowered to grow, innovate, and lead with purpose. By investing in our employees and fostering a culture of collaboration and continuous development, we're able to better serve our customers. It's this commitment that has earned us recognition as one of the best companies to work for. Learn more about our recent awards and recognitions as a greatest workplace. Learn how Premera supports our members, customers and the communities that we serve through our Healthsource blog: . As an AI Engineer III, you will work within a team responsible for taking AI/ML solutions from initial concept to full production implementation. This role requires creativity and analytical skills to understand business challenges, propose AI-enabled solutions, and bring them to life through robust system design, modeling, and coding. You will collaborate cross-functionally to ideate and prototype new AI products. Your models, architectures, and software contributions will power innovative AI systems that solve complex problems at scale. To excel in this role, you will need hands-on experience rapidly developing and deploying ML algorithms alongside strong software engineering abilities to build reliable and maintainable AI infrastructure. This is a remote/telecommuter position, working from home. What you'll do: Develop comprehensive systems and frameworks for AI applications and products. Construct prototypes and minimum viable products to validate AI/ML solutions before committing substantial resources. Develop, refine, and productionize AI systems using cloud resources such as Azure OpenAI, Azure ML, and Cognitive Services. Contribute to the creation of robust data pipelines for model evolution and production systems. Develop specifications for low latency APIs and services necessary to deploy AI models and incorporate them into applications. Supervise and sustain AI systems in production to guarantee consistent model accuracy and reliability. Actively participate in a team that exercises principled, agile-like development practices. Create and maintain thorough documentation that is consistent with team procedures, corporate policies, and expectations. Ensure peer review on all assigned work, as well as conduct peer reviews over the work of others as requested. Guide junior AI engineers on AI/ML and industry best practices and methodologies. Keep abreast of new tools and concepts through reading documentation or literature and actively practicing skills development. Support and participate in meetings with external stakeholders. What you'll bring: Minimum Qualifications Bachelor's Degree in Computer Science, Statistics, Mathematics, or a related field, or 2+ years of experience in a related, professional IT/analytics position. Minimum of 3 years of industry experience in developing, deploying, and maintaining AI or ML systems. Up to two years of industry experience may be substituted with an AI centered Master's/PhD or AI Engineering certifications. Preferred Qualifications At least 4 years of experience in developing deep learning models using TensorFlow, PyTorch, MLX, JAX, or other modern deep learning frameworks. Previous experience with older libraries like Theano or Caffe is also accepted. (May supplement with graduate level education or research experience). Knowledge of and experience in implementing ethical AI practices, with at least 2 years spent working on projects that require explainable AI, fairness, and bias mitigation. Minimum of 3 years of proficiency in utilizing advanced prompt engineering techniques like General Knowledge Prompting and ReAct. Adept at using libraries like LangChain or OpenPrompt for complex projects. Possess the capability to mitigate prompt injection attacks and use tools like Guardrails or PromptInject for securing prompt engineering pipelines. Minimum of 3 years of experience in successfully productionizing AI models, including constructing scalable data pipelines and establishing robust monitoring systems. 3 or more years working within Agile-like teams and environments. Knowledge, Skills, and Abilities Experience developing deep learning architectures such as CNNs, transformers, GANs, LSTMs, GNNs, Autoencoders, Diffusion Models, and Neural Ordinary Differential Equations (NODEs). Proficiency in debugging AI systems and enhancing performance through hyperparameter tuning and similar techniques. Proven experience in productionizing models by constructing scalable data pipelines, low-latency services, and robust monitoring. Familiarity with software design patterns, microservices, distributed computing, container orchestration, and other relevant architectures. Proficient software engineering skills as well as skills building secure, stable software systems at scale. Proficiency in developing and optimizing ML solutions using languages like Python, and libraries such as NumPy, Pandas, Matplotlib and scikit-learn. Familiarity working with traditional ML lifecycles. Familiarity with building minimal interfaces to interact with AI products, e.g., Streamlit or Shiny. Familiarity with ethical AI practices including explainable AI, fairness, and mitigation of bias/hallucinations. Strong communication, collaboration, and mentorship skills. Growing ability to articulate the technical details and tradeoffs of AI solutions to non-technical stakeholders in a clear and concise manner. Physical Requirements The following have been identified as essential physical requirements of this job and must be performed with or without an accommodation: This is primarily a sedentary role which requires the ability to exert up to 10 lbs. of force occasionally and/or a negligible amount of force frequently or constantly to lift, carry, push, pull, or otherwise move objects, including the human body. This role requires the ability to keyboard and to communicate clearly and understandably in person and over the telephone. Premera total rewards Our comprehensive total rewards package provides support, resources, and opportunities to help employees thrive and grow. Our total rewards are more than a collection of perks, they're a reflection of our commitment to your health and well-being. We offer a broad array of rewards including physical, financial, emotional, and community benefits, including: Medical, vision, and dental coverage with low employee premiums. Voluntary benefit offerings, including pet insurance for paw parents. Life and disability insurance. Retirement programs, including a 401K employer match and, believe it or not, a pension plan that is vested after 3 years of service. Wellness incentives with a wide range of mental well-being resources for you and your dependents, including counseling services, stress management programs, and mindfulness programs, just to name a few. Generous paid time off to reenergize. Looking for continuing education? We have tuition assistance for both undergraduate and graduate degrees. Employee recognition program to celebrate anniversaries, team accomplishments, and more. For our hybrid employees, our on-campus model provides flexibility to create your own routine with access to on-site resources, networking opportunities, and team engagement. Commuter perks make your trip to work less impactful on the environment and your wallet. Free convenient on-site parking. Subsidized on-campus cafes make lunchtime connections with colleagues fun and affordable. Participate in engaging on-site activities such as health and wellness events, coffee connects, disaster preparedness fairs and more. Our complementary fitness & well-being center offers both in-person and virtual workouts and nutritional counseling. Need a brain break? Challenge someone to a game of shuffleboard or ping pong while on campus. Equal employment opportunity/affirmative action: Premera is an equal opportunity/affirmative action employer. Premera seeks to attract and retain the most qualified individuals without regard to race, color, religion, sex, national origin, age, disability, marital status, veteran status, gender or gender identity, sexual orientation, genetic information or any other protected characteristic under applicable law. If you need an accommodation to apply online for positions at Premera, please contact Premera Human Resources via email at or via phone at . Premera is hiring in the following states, with some limitations based on role or city: Alaska, Arizona, Arkansas, California, Colorado, Florida, Georgia, Idaho, Iowa, Kansas, Kentucky, Maine, Michigan, Minnesota, Missouri, Montana, Nevada, New Hampshire, New Mexico, North Carolina, Oklahoma, Oregon, South Carolina, South Dakota, Tennessee, Texas, Utah, Washington, Wisconsin . The pay for this role will vary based on a range of factors including . click apply for full job details

Workforce Classification: Telecommuter Join Our Team: Do Meaningful Work and Improve People's Lives Our purpose, to improve customers' lives by making healthcare work better, is far from ordinary. And so are our employees. Working at Premera means you have the opportunity to drive real change by transforming healthcare. Premera is committed to being a workplace where people feel empowered to grow, innovate, and lead with purpose. By investing in our employees and fostering a culture of collaboration and continuous development, we're able to better serve our customers. It's this commitment that has earned us recognition as one of the best companies to work for. Learn more about our recent awards and recognitions as a greatest workplace. Learn how Premera supports our members, customers and the communities that we serve through our Healthsource blog: . As an AI Engineer III, you will work within a team responsible for taking AI/ML solutions from initial concept to full production implementation. This role requires creativity and analytical skills to understand business challenges, propose AI-enabled solutions, and bring them to life through robust system design, modeling, and coding. You will collaborate cross-functionally to ideate and prototype new AI products. Your models, architectures, and software contributions will power innovative AI systems that solve complex problems at scale. To excel in this role, you will need hands-on experience rapidly developing and deploying ML algorithms alongside strong software engineering abilities to build reliable and maintainable AI infrastructure. This is a remote/telecommuter position, working from home. What you'll do: Develop comprehensive systems and frameworks for AI applications and products. Construct prototypes and minimum viable products to validate AI/ML solutions before committing substantial resources. Develop, refine, and productionize AI systems using cloud resources such as Azure OpenAI, Azure ML, and Cognitive Services. Contribute to the creation of robust data pipelines for model evolution and production systems. Develop specifications for low latency APIs and services necessary to deploy AI models and incorporate them into applications. Supervise and sustain AI systems in production to guarantee consistent model accuracy and reliability. Actively participate in a team that exercises principled, agile-like development practices. Create and maintain thorough documentation that is consistent with team procedures, corporate policies, and expectations. Ensure peer review on all assigned work, as well as conduct peer reviews over the work of others as requested. Guide junior AI engineers on AI/ML and industry best practices and methodologies. Keep abreast of new tools and concepts through reading documentation or literature and actively practicing skills development. Support and participate in meetings with external stakeholders. What you'll bring: Minimum Qualifications Bachelor's Degree in Computer Science, Statistics, Mathematics, or a related field, or 2+ years of experience in a related, professional IT/analytics position. Minimum of 3 years of industry experience in developing, deploying, and maintaining AI or ML systems. Up to two years of industry experience may be substituted with an AI centered Master's/PhD or AI Engineering certifications. Preferred Qualifications At least 4 years of experience in developing deep learning models using TensorFlow, PyTorch, MLX, JAX, or other modern deep learning frameworks. Previous experience with older libraries like Theano or Caffe is also accepted. (May supplement with graduate level education or research experience). Knowledge of and experience in implementing ethical AI practices, with at least 2 years spent working on projects that require explainable AI, fairness, and bias mitigation. Minimum of 3 years of proficiency in utilizing advanced prompt engineering techniques like General Knowledge Prompting and ReAct. Adept at using libraries like LangChain or OpenPrompt for complex projects. Possess the capability to mitigate prompt injection attacks and use tools like Guardrails or PromptInject for securing prompt engineering pipelines. Minimum of 3 years of experience in successfully productionizing AI models, including constructing scalable data pipelines and establishing robust monitoring systems. 3 or more years working within Agile-like teams and environments. Knowledge, Skills, and Abilities Experience developing deep learning architectures such as CNNs, transformers, GANs, LSTMs, GNNs, Autoencoders, Diffusion Models, and Neural Ordinary Differential Equations (NODEs). Proficiency in debugging AI systems and enhancing performance through hyperparameter tuning and similar techniques. Proven experience in productionizing models by constructing scalable data pipelines, low-latency services, and robust monitoring. Familiarity with software design patterns, microservices, distributed computing, container orchestration, and other relevant architectures. Proficient software engineering skills as well as skills building secure, stable software systems at scale. Proficiency in developing and optimizing ML solutions using languages like Python, and libraries such as NumPy, Pandas, Matplotlib and scikit-learn. Familiarity working with traditional ML lifecycles. Familiarity with building minimal interfaces to interact with AI products, e.g., Streamlit or Shiny. Familiarity with ethical AI practices including explainable AI, fairness, and mitigation of bias/hallucinations. Strong communication, collaboration, and mentorship skills. Growing ability to articulate the technical details and tradeoffs of AI solutions to non-technical stakeholders in a clear and concise manner. Physical Requirements The following have been identified as essential physical requirements of this job and must be performed with or without an accommodation: This is primarily a sedentary role which requires the ability to exert up to 10 lbs. of force occasionally and/or a negligible amount of force frequently or constantly to lift, carry, push, pull, or otherwise move objects, including the human body. This role requires the ability to keyboard and to communicate clearly and understandably in person and over the telephone. Premera total rewards Our comprehensive total rewards package provides support, resources, and opportunities to help employees thrive and grow. Our total rewards are more than a collection of perks, they're a reflection of our commitment to your health and well-being. We offer a broad array of rewards including physical, financial, emotional, and community benefits, including: Medical, vision, and dental coverage with low employee premiums. Voluntary benefit offerings, including pet insurance for paw parents. Life and disability insurance. Retirement programs, including a 401K employer match and, believe it or not, a pension plan that is vested after 3 years of service. Wellness incentives with a wide range of mental well-being resources for you and your dependents, including counseling services, stress management programs, and mindfulness programs, just to name a few. Generous paid time off to reenergize. Looking for continuing education? We have tuition assistance for both undergraduate and graduate degrees. Employee recognition program to celebrate anniversaries, team accomplishments, and more. For our hybrid employees, our on-campus model provides flexibility to create your own routine with access to on-site resources, networking opportunities, and team engagement. Commuter perks make your trip to work less impactful on the environment and your wallet. Free convenient on-site parking. Subsidized on-campus cafes make lunchtime connections with colleagues fun and affordable. Participate in engaging on-site activities such as health and wellness events, coffee connects, disaster preparedness fairs and more. Our complementary fitness & well-being center offers both in-person and virtual workouts and nutritional counseling. Need a brain break? Challenge someone to a game of shuffleboard or ping pong while on campus. Equal employment opportunity/affirmative action: Premera is an equal opportunity/affirmative action employer. Premera seeks to attract and retain the most qualified individuals without regard to race, color, religion, sex, national origin, age, disability, marital status, veteran status, gender or gender identity, sexual orientation, genetic information or any other protected characteristic under applicable law. If you need an accommodation to apply online for positions at Premera, please contact Premera Human Resources via email at or via phone at . Premera is hiring in the following states, with some limitations based on role or city: Alaska, Arizona, Arkansas, California, Colorado, Florida, Georgia, Idaho, Iowa, Kansas, Kentucky, Maine, Michigan, Minnesota, Missouri, Montana, Nevada, New Hampshire, New Mexico, North Carolina, Oklahoma, Oregon, South Carolina, South Dakota, Tennessee, Texas, Utah, Washington, Wisconsin . The pay for this role will vary based on a range of factors including . click apply for full job details

Workforce Classification: Telecommuter Join Our Team: Do Meaningful Work and Improve People's Lives Our purpose, to improve customers' lives by making healthcare work better, is far from ordinary. And so are our employees. Working at Premera means you have the opportunity to drive real change by transforming healthcare. Premera is committed to being a workplace where people feel empowered to grow, innovate, and lead with purpose. By investing in our employees and fostering a culture of collaboration and continuous development, we're able to better serve our customers. It's this commitment that has earned us recognition as one of the best companies to work for. Learn more about our recent awards and recognitions as a greatest workplace. Learn how Premera supports our members, customers and the communities that we serve through our Healthsource blog: . As an AI Engineer III, you will work within a team responsible for taking AI/ML solutions from initial concept to full production implementation. This role requires creativity and analytical skills to understand business challenges, propose AI-enabled solutions, and bring them to life through robust system design, modeling, and coding. You will collaborate cross-functionally to ideate and prototype new AI products. Your models, architectures, and software contributions will power innovative AI systems that solve complex problems at scale. To excel in this role, you will need hands-on experience rapidly developing and deploying ML algorithms alongside strong software engineering abilities to build reliable and maintainable AI infrastructure. This is a remote/telecommuter position, working from home. What you'll do: Develop comprehensive systems and frameworks for AI applications and products. Construct prototypes and minimum viable products to validate AI/ML solutions before committing substantial resources. Develop, refine, and productionize AI systems using cloud resources such as Azure OpenAI, Azure ML, and Cognitive Services. Contribute to the creation of robust data pipelines for model evolution and production systems. Develop specifications for low latency APIs and services necessary to deploy AI models and incorporate them into applications. Supervise and sustain AI systems in production to guarantee consistent model accuracy and reliability. Actively participate in a team that exercises principled, agile-like development practices. Create and maintain thorough documentation that is consistent with team procedures, corporate policies, and expectations. Ensure peer review on all assigned work, as well as conduct peer reviews over the work of others as requested. Guide junior AI engineers on AI/ML and industry best practices and methodologies. Keep abreast of new tools and concepts through reading documentation or literature and actively practicing skills development. Support and participate in meetings with external stakeholders. What you'll bring: Minimum Qualifications Bachelor's Degree in Computer Science, Statistics, Mathematics, or a related field, or 2+ years of experience in a related, professional IT/analytics position. Minimum of 3 years of industry experience in developing, deploying, and maintaining AI or ML systems. Up to two years of industry experience may be substituted with an AI centered Master's/PhD or AI Engineering certifications. Preferred Qualifications At least 4 years of experience in developing deep learning models using TensorFlow, PyTorch, MLX, JAX, or other modern deep learning frameworks. Previous experience with older libraries like Theano or Caffe is also accepted. (May supplement with graduate level education or research experience). Knowledge of and experience in implementing ethical AI practices, with at least 2 years spent working on projects that require explainable AI, fairness, and bias mitigation. Minimum of 3 years of proficiency in utilizing advanced prompt engineering techniques like General Knowledge Prompting and ReAct. Adept at using libraries like LangChain or OpenPrompt for complex projects. Possess the capability to mitigate prompt injection attacks and use tools like Guardrails or PromptInject for securing prompt engineering pipelines. Minimum of 3 years of experience in successfully productionizing AI models, including constructing scalable data pipelines and establishing robust monitoring systems. 3 or more years working within Agile-like teams and environments. Knowledge, Skills, and Abilities Experience developing deep learning architectures such as CNNs, transformers, GANs, LSTMs, GNNs, Autoencoders, Diffusion Models, and Neural Ordinary Differential Equations (NODEs). Proficiency in debugging AI systems and enhancing performance through hyperparameter tuning and similar techniques. Proven experience in productionizing models by constructing scalable data pipelines, low-latency services, and robust monitoring. Familiarity with software design patterns, microservices, distributed computing, container orchestration, and other relevant architectures. Proficient software engineering skills as well as skills building secure, stable software systems at scale. Proficiency in developing and optimizing ML solutions using languages like Python, and libraries such as NumPy, Pandas, Matplotlib and scikit-learn. Familiarity working with traditional ML lifecycles. Familiarity with building minimal interfaces to interact with AI products, e.g., Streamlit or Shiny. Familiarity with ethical AI practices including explainable AI, fairness, and mitigation of bias/hallucinations. Strong communication, collaboration, and mentorship skills. Growing ability to articulate the technical details and tradeoffs of AI solutions to non-technical stakeholders in a clear and concise manner. Physical Requirements The following have been identified as essential physical requirements of this job and must be performed with or without an accommodation: This is primarily a sedentary role which requires the ability to exert up to 10 lbs. of force occasionally and/or a negligible amount of force frequently or constantly to lift, carry, push, pull, or otherwise move objects, including the human body. This role requires the ability to keyboard and to communicate clearly and understandably in person and over the telephone. Premera total rewards Our comprehensive total rewards package provides support, resources, and opportunities to help employees thrive and grow. Our total rewards are more than a collection of perks, they're a reflection of our commitment to your health and well-being. We offer a broad array of rewards including physical, financial, emotional, and community benefits, including: Medical, vision, and dental coverage with low employee premiums. Voluntary benefit offerings, including pet insurance for paw parents. Life and disability insurance. Retirement programs, including a 401K employer match and, believe it or not, a pension plan that is vested after 3 years of service. Wellness incentives with a wide range of mental well-being resources for you and your dependents, including counseling services, stress management programs, and mindfulness programs, just to name a few. Generous paid time off to reenergize. Looking for continuing education? We have tuition assistance for both undergraduate and graduate degrees. Employee recognition program to celebrate anniversaries, team accomplishments, and more. For our hybrid employees, our on-campus model provides flexibility to create your own routine with access to on-site resources, networking opportunities, and team engagement. Commuter perks make your trip to work less impactful on the environment and your wallet. Free convenient on-site parking. Subsidized on-campus cafes make lunchtime connections with colleagues fun and affordable. Participate in engaging on-site activities such as health and wellness events, coffee connects, disaster preparedness fairs and more. Our complementary fitness & well-being center offers both in-person and virtual workouts and nutritional counseling. Need a brain break? Challenge someone to a game of shuffleboard or ping pong while on campus. Equal employment opportunity/affirmative action: Premera is an equal opportunity/affirmative action employer. Premera seeks to attract and retain the most qualified individuals without regard to race, color, religion, sex, national origin, age, disability, marital status, veteran status, gender or gender identity, sexual orientation, genetic information or any other protected characteristic under applicable law. If you need an accommodation to apply online for positions at Premera, please contact Premera Human Resources via email at or via phone at . Premera is hiring in the following states, with some limitations based on role or city: Alaska, Arizona, Arkansas, California, Colorado, Florida, Georgia, Idaho, Iowa, Kansas, Kentucky, Maine, Michigan, Minnesota, Missouri, Montana, Nevada, New Hampshire, New Mexico, North Carolina, Oklahoma, Oregon, South Carolina, South Dakota, Tennessee, Texas, Utah, Washington, Wisconsin . The pay for this role will vary based on a range of factors including . click apply for full job details

Workforce Classification: Telecommuter Join Our Team: Do Meaningful Work and Improve People's Lives Our purpose, to improve customers' lives by making healthcare work better, is far from ordinary. And so are our employees. Working at Premera means you have the opportunity to drive real change by transforming healthcare. Premera is committed to being a workplace where people feel empowered to grow, innovate, and lead with purpose. By investing in our employees and fostering a culture of collaboration and continuous development, we're able to better serve our customers. It's this commitment that has earned us recognition as one of the best companies to work for. Learn more about our recent awards and recognitions as a greatest workplace. Learn how Premera supports our members, customers and the communities that we serve through our Healthsource blog: . As an AI Engineer III, you will work within a team responsible for taking AI/ML solutions from initial concept to full production implementation. This role requires creativity and analytical skills to understand business challenges, propose AI-enabled solutions, and bring them to life through robust system design, modeling, and coding. You will collaborate cross-functionally to ideate and prototype new AI products. Your models, architectures, and software contributions will power innovative AI systems that solve complex problems at scale. To excel in this role, you will need hands-on experience rapidly developing and deploying ML algorithms alongside strong software engineering abilities to build reliable and maintainable AI infrastructure. This is a remote/telecommuter position, working from home. What you'll do: Develop comprehensive systems and frameworks for AI applications and products. Construct prototypes and minimum viable products to validate AI/ML solutions before committing substantial resources. Develop, refine, and productionize AI systems using cloud resources such as Azure OpenAI, Azure ML, and Cognitive Services. Contribute to the creation of robust data pipelines for model evolution and production systems. Develop specifications for low latency APIs and services necessary to deploy AI models and incorporate them into applications. Supervise and sustain AI systems in production to guarantee consistent model accuracy and reliability. Actively participate in a team that exercises principled, agile-like development practices. Create and maintain thorough documentation that is consistent with team procedures, corporate policies, and expectations. Ensure peer review on all assigned work, as well as conduct peer reviews over the work of others as requested. Guide junior AI engineers on AI/ML and industry best practices and methodologies. Keep abreast of new tools and concepts through reading documentation or literature and actively practicing skills development. Support and participate in meetings with external stakeholders. What you'll bring: Minimum Qualifications Bachelor's Degree in Computer Science, Statistics, Mathematics, or a related field, or 2+ years of experience in a related, professional IT/analytics position. Minimum of 3 years of industry experience in developing, deploying, and maintaining AI or ML systems. Up to two years of industry experience may be substituted with an AI centered Master's/PhD or AI Engineering certifications. Preferred Qualifications At least 4 years of experience in developing deep learning models using TensorFlow, PyTorch, MLX, JAX, or other modern deep learning frameworks. Previous experience with older libraries like Theano or Caffe is also accepted. (May supplement with graduate level education or research experience). Knowledge of and experience in implementing ethical AI practices, with at least 2 years spent working on projects that require explainable AI, fairness, and bias mitigation. Minimum of 3 years of proficiency in utilizing advanced prompt engineering techniques like General Knowledge Prompting and ReAct. Adept at using libraries like LangChain or OpenPrompt for complex projects. Possess the capability to mitigate prompt injection attacks and use tools like Guardrails or PromptInject for securing prompt engineering pipelines. Minimum of 3 years of experience in successfully productionizing AI models, including constructing scalable data pipelines and establishing robust monitoring systems. 3 or more years working within Agile-like teams and environments. Knowledge, Skills, and Abilities Experience developing deep learning architectures such as CNNs, transformers, GANs, LSTMs, GNNs, Autoencoders, Diffusion Models, and Neural Ordinary Differential Equations (NODEs). Proficiency in debugging AI systems and enhancing performance through hyperparameter tuning and similar techniques. Proven experience in productionizing models by constructing scalable data pipelines, low-latency services, and robust monitoring. Familiarity with software design patterns, microservices, distributed computing, container orchestration, and other relevant architectures. Proficient software engineering skills as well as skills building secure, stable software systems at scale. Proficiency in developing and optimizing ML solutions using languages like Python, and libraries such as NumPy, Pandas, Matplotlib and scikit-learn. Familiarity working with traditional ML lifecycles. Familiarity with building minimal interfaces to interact with AI products, e.g., Streamlit or Shiny. Familiarity with ethical AI practices including explainable AI, fairness, and mitigation of bias/hallucinations. Strong communication, collaboration, and mentorship skills. Growing ability to articulate the technical details and tradeoffs of AI solutions to non-technical stakeholders in a clear and concise manner. Physical Requirements The following have been identified as essential physical requirements of this job and must be performed with or without an accommodation: This is primarily a sedentary role which requires the ability to exert up to 10 lbs. of force occasionally and/or a negligible amount of force frequently or constantly to lift, carry, push, pull, or otherwise move objects, including the human body. This role requires the ability to keyboard and to communicate clearly and understandably in person and over the telephone. Premera total rewards Our comprehensive total rewards package provides support, resources, and opportunities to help employees thrive and grow. Our total rewards are more than a collection of perks, they're a reflection of our commitment to your health and well-being. We offer a broad array of rewards including physical, financial, emotional, and community benefits, including: Medical, vision, and dental coverage with low employee premiums. Voluntary benefit offerings, including pet insurance for paw parents. Life and disability insurance. Retirement programs, including a 401K employer match and, believe it or not, a pension plan that is vested after 3 years of service. Wellness incentives with a wide range of mental well-being resources for you and your dependents, including counseling services, stress management programs, and mindfulness programs, just to name a few. Generous paid time off to reenergize. Looking for continuing education? We have tuition assistance for both undergraduate and graduate degrees. Employee recognition program to celebrate anniversaries, team accomplishments, and more. For our hybrid employees, our on-campus model provides flexibility to create your own routine with access to on-site resources, networking opportunities, and team engagement. Commuter perks make your trip to work less impactful on the environment and your wallet. Free convenient on-site parking. Subsidized on-campus cafes make lunchtime connections with colleagues fun and affordable. Participate in engaging on-site activities such as health and wellness events, coffee connects, disaster preparedness fairs and more. Our complementary fitness & well-being center offers both in-person and virtual workouts and nutritional counseling. Need a brain break? Challenge someone to a game of shuffleboard or ping pong while on campus. Equal employment opportunity/affirmative action: Premera is an equal opportunity/affirmative action employer. Premera seeks to attract and retain the most qualified individuals without regard to race, color, religion, sex, national origin, age, disability, marital status, veteran status, gender or gender identity, sexual orientation, genetic information or any other protected characteristic under applicable law. If you need an accommodation to apply online for positions at Premera, please contact Premera Human Resources via email at or via phone at . Premera is hiring in the following states, with some limitations based on role or city: Alaska, Arizona, Arkansas, California, Colorado, Florida, Georgia, Idaho, Iowa, Kansas, Kentucky, Maine, Michigan, Minnesota, Missouri, Montana, Nevada, New Hampshire, New Mexico, North Carolina, Oklahoma, Oregon, South Carolina, South Dakota, Tennessee, Texas, Utah, Washington, Wisconsin . The pay for this role will vary based on a range of factors including . click apply for full job details

Workforce Classification: Telecommuter Join Our Team: Do Meaningful Work and Improve People's Lives Our purpose, to improve customers' lives by making healthcare work better, is far from ordinary. And so are our employees. Working at Premera means you have the opportunity to drive real change by transforming healthcare. Premera is committed to being a workplace where people feel empowered to grow, innovate, and lead with purpose. By investing in our employees and fostering a culture of collaboration and continuous development, we're able to better serve our customers. It's this commitment that has earned us recognition as one of the best companies to work for. Learn more about our recent awards and recognitions as a greatest workplace. Learn how Premera supports our members, customers and the communities that we serve through our Healthsource blog: . As an AI Engineer III, you will work within a team responsible for taking AI/ML solutions from initial concept to full production implementation. This role requires creativity and analytical skills to understand business challenges, propose AI-enabled solutions, and bring them to life through robust system design, modeling, and coding. You will collaborate cross-functionally to ideate and prototype new AI products. Your models, architectures, and software contributions will power innovative AI systems that solve complex problems at scale. To excel in this role, you will need hands-on experience rapidly developing and deploying ML algorithms alongside strong software engineering abilities to build reliable and maintainable AI infrastructure. This is a remote/telecommuter position, working from home. What you'll do: Develop comprehensive systems and frameworks for AI applications and products. Construct prototypes and minimum viable products to validate AI/ML solutions before committing substantial resources. Develop, refine, and productionize AI systems using cloud resources such as Azure OpenAI, Azure ML, and Cognitive Services. Contribute to the creation of robust data pipelines for model evolution and production systems. Develop specifications for low latency APIs and services necessary to deploy AI models and incorporate them into applications. Supervise and sustain AI systems in production to guarantee consistent model accuracy and reliability. Actively participate in a team that exercises principled, agile-like development practices. Create and maintain thorough documentation that is consistent with team procedures, corporate policies, and expectations. Ensure peer review on all assigned work, as well as conduct peer reviews over the work of others as requested. Guide junior AI engineers on AI/ML and industry best practices and methodologies. Keep abreast of new tools and concepts through reading documentation or literature and actively practicing skills development. Support and participate in meetings with external stakeholders. What you'll bring: Minimum Qualifications Bachelor's Degree in Computer Science, Statistics, Mathematics, or a related field, or 2+ years of experience in a related, professional IT/analytics position. Minimum of 3 years of industry experience in developing, deploying, and maintaining AI or ML systems. Up to two years of industry experience may be substituted with an AI centered Master's/PhD or AI Engineering certifications. Preferred Qualifications At least 4 years of experience in developing deep learning models using TensorFlow, PyTorch, MLX, JAX, or other modern deep learning frameworks. Previous experience with older libraries like Theano or Caffe is also accepted. (May supplement with graduate level education or research experience). Knowledge of and experience in implementing ethical AI practices, with at least 2 years spent working on projects that require explainable AI, fairness, and bias mitigation. Minimum of 3 years of proficiency in utilizing advanced prompt engineering techniques like General Knowledge Prompting and ReAct. Adept at using libraries like LangChain or OpenPrompt for complex projects. Possess the capability to mitigate prompt injection attacks and use tools like Guardrails or PromptInject for securing prompt engineering pipelines. Minimum of 3 years of experience in successfully productionizing AI models, including constructing scalable data pipelines and establishing robust monitoring systems. 3 or more years working within Agile-like teams and environments. Knowledge, Skills, and Abilities Experience developing deep learning architectures such as CNNs, transformers, GANs, LSTMs, GNNs, Autoencoders, Diffusion Models, and Neural Ordinary Differential Equations (NODEs). Proficiency in debugging AI systems and enhancing performance through hyperparameter tuning and similar techniques. Proven experience in productionizing models by constructing scalable data pipelines, low-latency services, and robust monitoring. Familiarity with software design patterns, microservices, distributed computing, container orchestration, and other relevant architectures. Proficient software engineering skills as well as skills building secure, stable software systems at scale. Proficiency in developing and optimizing ML solutions using languages like Python, and libraries such as NumPy, Pandas, Matplotlib and scikit-learn. Familiarity working with traditional ML lifecycles. Familiarity with building minimal interfaces to interact with AI products, e.g., Streamlit or Shiny. Familiarity with ethical AI practices including explainable AI, fairness, and mitigation of bias/hallucinations. Strong communication, collaboration, and mentorship skills. Growing ability to articulate the technical details and tradeoffs of AI solutions to non-technical stakeholders in a clear and concise manner. Physical Requirements The following have been identified as essential physical requirements of this job and must be performed with or without an accommodation: This is primarily a sedentary role which requires the ability to exert up to 10 lbs. of force occasionally and/or a negligible amount of force frequently or constantly to lift, carry, push, pull, or otherwise move objects, including the human body. This role requires the ability to keyboard and to communicate clearly and understandably in person and over the telephone. Premera total rewards Our comprehensive total rewards package provides support, resources, and opportunities to help employees thrive and grow. Our total rewards are more than a collection of perks, they're a reflection of our commitment to your health and well-being. We offer a broad array of rewards including physical, financial, emotional, and community benefits, including: Medical, vision, and dental coverage with low employee premiums. Voluntary benefit offerings, including pet insurance for paw parents. Life and disability insurance. Retirement programs, including a 401K employer match and, believe it or not, a pension plan that is vested after 3 years of service. Wellness incentives with a wide range of mental well-being resources for you and your dependents, including counseling services, stress management programs, and mindfulness programs, just to name a few. Generous paid time off to reenergize. Looking for continuing education? We have tuition assistance for both undergraduate and graduate degrees. Employee recognition program to celebrate anniversaries, team accomplishments, and more. For our hybrid employees, our on-campus model provides flexibility to create your own routine with access to on-site resources, networking opportunities, and team engagement. Commuter perks make your trip to work less impactful on the environment and your wallet. Free convenient on-site parking. Subsidized on-campus cafes make lunchtime connections with colleagues fun and affordable. Participate in engaging on-site activities such as health and wellness events, coffee connects, disaster preparedness fairs and more. Our complementary fitness & well-being center offers both in-person and virtual workouts and nutritional counseling. Need a brain break? Challenge someone to a game of shuffleboard or ping pong while on campus. Equal employment opportunity/affirmative action: Premera is an equal opportunity/affirmative action employer. Premera seeks to attract and retain the most qualified individuals without regard to race, color, religion, sex, national origin, age, disability, marital status, veteran status, gender or gender identity, sexual orientation, genetic information or any other protected characteristic under applicable law. If you need an accommodation to apply online for positions at Premera, please contact Premera Human Resources via email at or via phone at . Premera is hiring in the following states, with some limitations based on role or city: Alaska, Arizona, Arkansas, California, Colorado, Florida, Georgia, Idaho, Iowa, Kansas, Kentucky, Maine, Michigan, Minnesota, Missouri, Montana, Nevada, New Hampshire, New Mexico, North Carolina, Oklahoma, Oregon, South Carolina, South Dakota, Tennessee, Texas, Utah, Washington, Wisconsin . The pay for this role will vary based on a range of factors including . click apply for full job details

Workforce Classification: Telecommuter Join Our Team: Do Meaningful Work and Improve People's Lives Our purpose, to improve customers' lives by making healthcare work better, is far from ordinary. And so are our employees. Working at Premera means you have the opportunity to drive real change by transforming healthcare. Premera is committed to being a workplace where people feel empowered to grow, innovate, and lead with purpose. By investing in our employees and fostering a culture of collaboration and continuous development, we're able to better serve our customers. It's this commitment that has earned us recognition as one of the best companies to work for. Learn more about our recent awards and recognitions as a greatest workplace. Learn how Premera supports our members, customers and the communities that we serve through our Healthsource blog: . As an AI Engineer III, you will work within a team responsible for taking AI/ML solutions from initial concept to full production implementation. This role requires creativity and analytical skills to understand business challenges, propose AI-enabled solutions, and bring them to life through robust system design, modeling, and coding. You will collaborate cross-functionally to ideate and prototype new AI products. Your models, architectures, and software contributions will power innovative AI systems that solve complex problems at scale. To excel in this role, you will need hands-on experience rapidly developing and deploying ML algorithms alongside strong software engineering abilities to build reliable and maintainable AI infrastructure. This is a remote/telecommuter position, working from home. What you'll do: Develop comprehensive systems and frameworks for AI applications and products. Construct prototypes and minimum viable products to validate AI/ML solutions before committing substantial resources. Develop, refine, and productionize AI systems using cloud resources such as Azure OpenAI, Azure ML, and Cognitive Services. Contribute to the creation of robust data pipelines for model evolution and production systems. Develop specifications for low latency APIs and services necessary to deploy AI models and incorporate them into applications. Supervise and sustain AI systems in production to guarantee consistent model accuracy and reliability. Actively participate in a team that exercises principled, agile-like development practices. Create and maintain thorough documentation that is consistent with team procedures, corporate policies, and expectations. Ensure peer review on all assigned work, as well as conduct peer reviews over the work of others as requested. Guide junior AI engineers on AI/ML and industry best practices and methodologies. Keep abreast of new tools and concepts through reading documentation or literature and actively practicing skills development. Support and participate in meetings with external stakeholders. What you'll bring: Minimum Qualifications Bachelor's Degree in Computer Science, Statistics, Mathematics, or a related field, or 2+ years of experience in a related, professional IT/analytics position. Minimum of 3 years of industry experience in developing, deploying, and maintaining AI or ML systems. Up to two years of industry experience may be substituted with an AI centered Master's/PhD or AI Engineering certifications. Preferred Qualifications At least 4 years of experience in developing deep learning models using TensorFlow, PyTorch, MLX, JAX, or other modern deep learning frameworks. Previous experience with older libraries like Theano or Caffe is also accepted. (May supplement with graduate level education or research experience). Knowledge of and experience in implementing ethical AI practices, with at least 2 years spent working on projects that require explainable AI, fairness, and bias mitigation. Minimum of 3 years of proficiency in utilizing advanced prompt engineering techniques like General Knowledge Prompting and ReAct. Adept at using libraries like LangChain or OpenPrompt for complex projects. Possess the capability to mitigate prompt injection attacks and use tools like Guardrails or PromptInject for securing prompt engineering pipelines. Minimum of 3 years of experience in successfully productionizing AI models, including constructing scalable data pipelines and establishing robust monitoring systems. 3 or more years working within Agile-like teams and environments. Knowledge, Skills, and Abilities Experience developing deep learning architectures such as CNNs, transformers, GANs, LSTMs, GNNs, Autoencoders, Diffusion Models, and Neural Ordinary Differential Equations (NODEs). Proficiency in debugging AI systems and enhancing performance through hyperparameter tuning and similar techniques. Proven experience in productionizing models by constructing scalable data pipelines, low-latency services, and robust monitoring. Familiarity with software design patterns, microservices, distributed computing, container orchestration, and other relevant architectures. Proficient software engineering skills as well as skills building secure, stable software systems at scale. Proficiency in developing and optimizing ML solutions using languages like Python, and libraries such as NumPy, Pandas, Matplotlib and scikit-learn. Familiarity working with traditional ML lifecycles. Familiarity with building minimal interfaces to interact with AI products, e.g., Streamlit or Shiny. Familiarity with ethical AI practices including explainable AI, fairness, and mitigation of bias/hallucinations. Strong communication, collaboration, and mentorship skills. Growing ability to articulate the technical details and tradeoffs of AI solutions to non-technical stakeholders in a clear and concise manner. Physical Requirements The following have been identified as essential physical requirements of this job and must be performed with or without an accommodation: This is primarily a sedentary role which requires the ability to exert up to 10 lbs. of force occasionally and/or a negligible amount of force frequently or constantly to lift, carry, push, pull, or otherwise move objects, including the human body. This role requires the ability to keyboard and to communicate clearly and understandably in person and over the telephone. Premera total rewards Our comprehensive total rewards package provides support, resources, and opportunities to help employees thrive and grow. Our total rewards are more than a collection of perks, they're a reflection of our commitment to your health and well-being. We offer a broad array of rewards including physical, financial, emotional, and community benefits, including: Medical, vision, and dental coverage with low employee premiums. Voluntary benefit offerings, including pet insurance for paw parents. Life and disability insurance. Retirement programs, including a 401K employer match and, believe it or not, a pension plan that is vested after 3 years of service. Wellness incentives with a wide range of mental well-being resources for you and your dependents, including counseling services, stress management programs, and mindfulness programs, just to name a few. Generous paid time off to reenergize. Looking for continuing education? We have tuition assistance for both undergraduate and graduate degrees. Employee recognition program to celebrate anniversaries, team accomplishments, and more. For our hybrid employees, our on-campus model provides flexibility to create your own routine with access to on-site resources, networking opportunities, and team engagement. Commuter perks make your trip to work less impactful on the environment and your wallet. Free convenient on-site parking. Subsidized on-campus cafes make lunchtime connections with colleagues fun and affordable. Participate in engaging on-site activities such as health and wellness events, coffee connects, disaster preparedness fairs and more. Our complementary fitness & well-being center offers both in-person and virtual workouts and nutritional counseling. Need a brain break? Challenge someone to a game of shuffleboard or ping pong while on campus. Equal employment opportunity/affirmative action: Premera is an equal opportunity/affirmative action employer. Premera seeks to attract and retain the most qualified individuals without regard to race, color, religion, sex, national origin, age, disability, marital status, veteran status, gender or gender identity, sexual orientation, genetic information or any other protected characteristic under applicable law. If you need an accommodation to apply online for positions at Premera, please contact Premera Human Resources via email at or via phone at . Premera is hiring in the following states, with some limitations based on role or city: Alaska, Arizona, Arkansas, California, Colorado, Florida, Georgia, Idaho, Iowa, Kansas, Kentucky, Maine, Michigan, Minnesota, Missouri, Montana, Nevada, New Hampshire, New Mexico, North Carolina, Oklahoma, Oregon, South Carolina, South Dakota, Tennessee, Texas, Utah, Washington, Wisconsin . The pay for this role will vary based on a range of factors including . click apply for full job details

Workforce Classification: Telecommuter Join Our Team: Do Meaningful Work and Improve People's Lives Our purpose, to improve customers' lives by making healthcare work better, is far from ordinary. And so are our employees. Working at Premera means you have the opportunity to drive real change by transforming healthcare. Premera is committed to being a workplace where people feel empowered to grow, innovate, and lead with purpose. By investing in our employees and fostering a culture of collaboration and continuous development, we're able to better serve our customers. It's this commitment that has earned us recognition as one of the best companies to work for. Learn more about our recent awards and recognitions as a greatest workplace. Learn how Premera supports our members, customers and the communities that we serve through our Healthsource blog: . As an AI Engineer III, you will work within a team responsible for taking AI/ML solutions from initial concept to full production implementation. This role requires creativity and analytical skills to understand business challenges, propose AI-enabled solutions, and bring them to life through robust system design, modeling, and coding. You will collaborate cross-functionally to ideate and prototype new AI products. Your models, architectures, and software contributions will power innovative AI systems that solve complex problems at scale. To excel in this role, you will need hands-on experience rapidly developing and deploying ML algorithms alongside strong software engineering abilities to build reliable and maintainable AI infrastructure. This is a remote/telecommuter position, working from home. What you'll do: Develop comprehensive systems and frameworks for AI applications and products. Construct prototypes and minimum viable products to validate AI/ML solutions before committing substantial resources. Develop, refine, and productionize AI systems using cloud resources such as Azure OpenAI, Azure ML, and Cognitive Services. Contribute to the creation of robust data pipelines for model evolution and production systems. Develop specifications for low latency APIs and services necessary to deploy AI models and incorporate them into applications. Supervise and sustain AI systems in production to guarantee consistent model accuracy and reliability. Actively participate in a team that exercises principled, agile-like development practices. Create and maintain thorough documentation that is consistent with team procedures, corporate policies, and expectations. Ensure peer review on all assigned work, as well as conduct peer reviews over the work of others as requested. Guide junior AI engineers on AI/ML and industry best practices and methodologies. Keep abreast of new tools and concepts through reading documentation or literature and actively practicing skills development. Support and participate in meetings with external stakeholders. What you'll bring: Minimum Qualifications Bachelor's Degree in Computer Science, Statistics, Mathematics, or a related field, or 2+ years of experience in a related, professional IT/analytics position. Minimum of 3 years of industry experience in developing, deploying, and maintaining AI or ML systems. Up to two years of industry experience may be substituted with an AI centered Master's/PhD or AI Engineering certifications. Preferred Qualifications At least 4 years of experience in developing deep learning models using TensorFlow, PyTorch, MLX, JAX, or other modern deep learning frameworks. Previous experience with older libraries like Theano or Caffe is also accepted. (May supplement with graduate level education or research experience). Knowledge of and experience in implementing ethical AI practices, with at least 2 years spent working on projects that require explainable AI, fairness, and bias mitigation. Minimum of 3 years of proficiency in utilizing advanced prompt engineering techniques like General Knowledge Prompting and ReAct. Adept at using libraries like LangChain or OpenPrompt for complex projects. Possess the capability to mitigate prompt injection attacks and use tools like Guardrails or PromptInject for securing prompt engineering pipelines. Minimum of 3 years of experience in successfully productionizing AI models, including constructing scalable data pipelines and establishing robust monitoring systems. 3 or more years working within Agile-like teams and environments. Knowledge, Skills, and Abilities Experience developing deep learning architectures such as CNNs, transformers, GANs, LSTMs, GNNs, Autoencoders, Diffusion Models, and Neural Ordinary Differential Equations (NODEs). Proficiency in debugging AI systems and enhancing performance through hyperparameter tuning and similar techniques. Proven experience in productionizing models by constructing scalable data pipelines, low-latency services, and robust monitoring. Familiarity with software design patterns, microservices, distributed computing, container orchestration, and other relevant architectures. Proficient software engineering skills as well as skills building secure, stable software systems at scale. Proficiency in developing and optimizing ML solutions using languages like Python, and libraries such as NumPy, Pandas, Matplotlib and scikit-learn. Familiarity working with traditional ML lifecycles. Familiarity with building minimal interfaces to interact with AI products, e.g., Streamlit or Shiny. Familiarity with ethical AI practices including explainable AI, fairness, and mitigation of bias/hallucinations. Strong communication, collaboration, and mentorship skills. Growing ability to articulate the technical details and tradeoffs of AI solutions to non-technical stakeholders in a clear and concise manner. Physical Requirements The following have been identified as essential physical requirements of this job and must be performed with or without an accommodation: This is primarily a sedentary role which requires the ability to exert up to 10 lbs. of force occasionally and/or a negligible amount of force frequently or constantly to lift, carry, push, pull, or otherwise move objects, including the human body. This role requires the ability to keyboard and to communicate clearly and understandably in person and over the telephone. Premera total rewards Our comprehensive total rewards package provides support, resources, and opportunities to help employees thrive and grow. Our total rewards are more than a collection of perks, they're a reflection of our commitment to your health and well-being. We offer a broad array of rewards including physical, financial, emotional, and community benefits, including: Medical, vision, and dental coverage with low employee premiums. Voluntary benefit offerings, including pet insurance for paw parents. Life and disability insurance. Retirement programs, including a 401K employer match and, believe it or not, a pension plan that is vested after 3 years of service. Wellness incentives with a wide range of mental well-being resources for you and your dependents, including counseling services, stress management programs, and mindfulness programs, just to name a few. Generous paid time off to reenergize. Looking for continuing education? We have tuition assistance for both undergraduate and graduate degrees. Employee recognition program to celebrate anniversaries, team accomplishments, and more. For our hybrid employees, our on-campus model provides flexibility to create your own routine with access to on-site resources, networking opportunities, and team engagement. Commuter perks make your trip to work less impactful on the environment and your wallet. Free convenient on-site parking. Subsidized on-campus cafes make lunchtime connections with colleagues fun and affordable. Participate in engaging on-site activities such as health and wellness events, coffee connects, disaster preparedness fairs and more. Our complementary fitness & well-being center offers both in-person and virtual workouts and nutritional counseling. Need a brain break? Challenge someone to a game of shuffleboard or ping pong while on campus. Equal employment opportunity/affirmative action: Premera is an equal opportunity/affirmative action employer. Premera seeks to attract and retain the most qualified individuals without regard to race, color, religion, sex, national origin, age, disability, marital status, veteran status, gender or gender identity, sexual orientation, genetic information or any other protected characteristic under applicable law. If you need an accommodation to apply online for positions at Premera, please contact Premera Human Resources via email at or via phone at . Premera is hiring in the following states, with some limitations based on role or city: Alaska, Arizona, Arkansas, California, Colorado, Florida, Georgia, Idaho, Iowa, Kansas, Kentucky, Maine, Michigan, Minnesota, Missouri, Montana, Nevada, New Hampshire, New Mexico, North Carolina, Oklahoma, Oregon, South Carolina, South Dakota, Tennessee, Texas, Utah, Washington, Wisconsin . The pay for this role will vary based on a range of factors including . click apply for full job details

Workforce Classification: Telecommuter Join Our Team: Do Meaningful Work and Improve People's Lives Our purpose, to improve customers' lives by making healthcare work better, is far from ordinary. And so are our employees. Working at Premera means you have the opportunity to drive real change by transforming healthcare. Premera is committed to being a workplace where people feel empowered to grow, innovate, and lead with purpose. By investing in our employees and fostering a culture of collaboration and continuous development, we're able to better serve our customers. It's this commitment that has earned us recognition as one of the best companies to work for. Learn more about our recent awards and recognitions as a greatest workplace. Learn how Premera supports our members, customers and the communities that we serve through our Healthsource blog: . As an AI Engineer III, you will work within a team responsible for taking AI/ML solutions from initial concept to full production implementation. This role requires creativity and analytical skills to understand business challenges, propose AI-enabled solutions, and bring them to life through robust system design, modeling, and coding. You will collaborate cross-functionally to ideate and prototype new AI products. Your models, architectures, and software contributions will power innovative AI systems that solve complex problems at scale. To excel in this role, you will need hands-on experience rapidly developing and deploying ML algorithms alongside strong software engineering abilities to build reliable and maintainable AI infrastructure. This is a remote/telecommuter position, working from home. What you'll do: Develop comprehensive systems and frameworks for AI applications and products. Construct prototypes and minimum viable products to validate AI/ML solutions before committing substantial resources. Develop, refine, and productionize AI systems using cloud resources such as Azure OpenAI, Azure ML, and Cognitive Services. Contribute to the creation of robust data pipelines for model evolution and production systems. Develop specifications for low latency APIs and services necessary to deploy AI models and incorporate them into applications. Supervise and sustain AI systems in production to guarantee consistent model accuracy and reliability. Actively participate in a team that exercises principled, agile-like development practices. Create and maintain thorough documentation that is consistent with team procedures, corporate policies, and expectations. Ensure peer review on all assigned work, as well as conduct peer reviews over the work of others as requested. Guide junior AI engineers on AI/ML and industry best practices and methodologies. Keep abreast of new tools and concepts through reading documentation or literature and actively practicing skills development. Support and participate in meetings with external stakeholders. What you'll bring: Minimum Qualifications Bachelor's Degree in Computer Science, Statistics, Mathematics, or a related field, or 2+ years of experience in a related, professional IT/analytics position. Minimum of 3 years of industry experience in developing, deploying, and maintaining AI or ML systems. Up to two years of industry experience may be substituted with an AI centered Master's/PhD or AI Engineering certifications. Preferred Qualifications At least 4 years of experience in developing deep learning models using TensorFlow, PyTorch, MLX, JAX, or other modern deep learning frameworks. Previous experience with older libraries like Theano or Caffe is also accepted. (May supplement with graduate level education or research experience). Knowledge of and experience in implementing ethical AI practices, with at least 2 years spent working on projects that require explainable AI, fairness, and bias mitigation. Minimum of 3 years of proficiency in utilizing advanced prompt engineering techniques like General Knowledge Prompting and ReAct. Adept at using libraries like LangChain or OpenPrompt for complex projects. Possess the capability to mitigate prompt injection attacks and use tools like Guardrails or PromptInject for securing prompt engineering pipelines. Minimum of 3 years of experience in successfully productionizing AI models, including constructing scalable data pipelines and establishing robust monitoring systems. 3 or more years working within Agile-like teams and environments. Knowledge, Skills, and Abilities Experience developing deep learning architectures such as CNNs, transformers, GANs, LSTMs, GNNs, Autoencoders, Diffusion Models, and Neural Ordinary Differential Equations (NODEs). Proficiency in debugging AI systems and enhancing performance through hyperparameter tuning and similar techniques. Proven experience in productionizing models by constructing scalable data pipelines, low-latency services, and robust monitoring. Familiarity with software design patterns, microservices, distributed computing, container orchestration, and other relevant architectures. Proficient software engineering skills as well as skills building secure, stable software systems at scale. Proficiency in developing and optimizing ML solutions using languages like Python, and libraries such as NumPy, Pandas, Matplotlib and scikit-learn. Familiarity working with traditional ML lifecycles. Familiarity with building minimal interfaces to interact with AI products, e.g., Streamlit or Shiny. Familiarity with ethical AI practices including explainable AI, fairness, and mitigation of bias/hallucinations. Strong communication, collaboration, and mentorship skills. Growing ability to articulate the technical details and tradeoffs of AI solutions to non-technical stakeholders in a clear and concise manner. Physical Requirements The following have been identified as essential physical requirements of this job and must be performed with or without an accommodation: This is primarily a sedentary role which requires the ability to exert up to 10 lbs. of force occasionally and/or a negligible amount of force frequently or constantly to lift, carry, push, pull, or otherwise move objects, including the human body. This role requires the ability to keyboard and to communicate clearly and understandably in person and over the telephone. Premera total rewards Our comprehensive total rewards package provides support, resources, and opportunities to help employees thrive and grow. Our total rewards are more than a collection of perks, they're a reflection of our commitment to your health and well-being. We offer a broad array of rewards including physical, financial, emotional, and community benefits, including: Medical, vision, and dental coverage with low employee premiums. Voluntary benefit offerings, including pet insurance for paw parents. Life and disability insurance. Retirement programs, including a 401K employer match and, believe it or not, a pension plan that is vested after 3 years of service. Wellness incentives with a wide range of mental well-being resources for you and your dependents, including counseling services, stress management programs, and mindfulness programs, just to name a few. Generous paid time off to reenergize. Looking for continuing education? We have tuition assistance for both undergraduate and graduate degrees. Employee recognition program to celebrate anniversaries, team accomplishments, and more. For our hybrid employees, our on-campus model provides flexibility to create your own routine with access to on-site resources, networking opportunities, and team engagement. Commuter perks make your trip to work less impactful on the environment and your wallet. Free convenient on-site parking. Subsidized on-campus cafes make lunchtime connections with colleagues fun and affordable. Participate in engaging on-site activities such as health and wellness events, coffee connects, disaster preparedness fairs and more. Our complementary fitness & well-being center offers both in-person and virtual workouts and nutritional counseling. Need a brain break? Challenge someone to a game of shuffleboard or ping pong while on campus. Equal employment opportunity/affirmative action: Premera is an equal opportunity/affirmative action employer. Premera seeks to attract and retain the most qualified individuals without regard to race, color, religion, sex, national origin, age, disability, marital status, veteran status, gender or gender identity, sexual orientation, genetic information or any other protected characteristic under applicable law. If you need an accommodation to apply online for positions at Premera, please contact Premera Human Resources via email at or via phone at . Premera is hiring in the following states, with some limitations based on role or city: Alaska, Arizona, Arkansas, California, Colorado, Florida, Georgia, Idaho, Iowa, Kansas, Kentucky, Maine, Michigan, Minnesota, Missouri, Montana, Nevada, New Hampshire, New Mexico, North Carolina, Oklahoma, Oregon, South Carolina, South Dakota, Tennessee, Texas, Utah, Washington, Wisconsin . The pay for this role will vary based on a range of factors including . click apply for full job details

Workforce Classification: Telecommuter Join Our Team: Do Meaningful Work and Improve People's Lives Our purpose, to improve customers' lives by making healthcare work better, is far from ordinary. And so are our employees. Working at Premera means you have the opportunity to drive real change by transforming healthcare. Premera is committed to being a workplace where people feel empowered to grow, innovate, and lead with purpose. By investing in our employees and fostering a culture of collaboration and continuous development, we're able to better serve our customers. It's this commitment that has earned us recognition as one of the best companies to work for. Learn more about our recent awards and recognitions as a greatest workplace. Learn how Premera supports our members, customers and the communities that we serve through our Healthsource blog: . As an AI Engineer III, you will work within a team responsible for taking AI/ML solutions from initial concept to full production implementation. This role requires creativity and analytical skills to understand business challenges, propose AI-enabled solutions, and bring them to life through robust system design, modeling, and coding. You will collaborate cross-functionally to ideate and prototype new AI products. Your models, architectures, and software contributions will power innovative AI systems that solve complex problems at scale. To excel in this role, you will need hands-on experience rapidly developing and deploying ML algorithms alongside strong software engineering abilities to build reliable and maintainable AI infrastructure. This is a remote/telecommuter position, working from home. What you'll do: Develop comprehensive systems and frameworks for AI applications and products. Construct prototypes and minimum viable products to validate AI/ML solutions before committing substantial resources. Develop, refine, and productionize AI systems using cloud resources such as Azure OpenAI, Azure ML, and Cognitive Services. Contribute to the creation of robust data pipelines for model evolution and production systems. Develop specifications for low latency APIs and services necessary to deploy AI models and incorporate them into applications. Supervise and sustain AI systems in production to guarantee consistent model accuracy and reliability. Actively participate in a team that exercises principled, agile-like development practices. Create and maintain thorough documentation that is consistent with team procedures, corporate policies, and expectations. Ensure peer review on all assigned work, as well as conduct peer reviews over the work of others as requested. Guide junior AI engineers on AI/ML and industry best practices and methodologies. Keep abreast of new tools and concepts through reading documentation or literature and actively practicing skills development. Support and participate in meetings with external stakeholders. What you'll bring: Minimum Qualifications Bachelor's Degree in Computer Science, Statistics, Mathematics, or a related field, or 2+ years of experience in a related, professional IT/analytics position. Minimum of 3 years of industry experience in developing, deploying, and maintaining AI or ML systems. Up to two years of industry experience may be substituted with an AI centered Master's/PhD or AI Engineering certifications. Preferred Qualifications At least 4 years of experience in developing deep learning models using TensorFlow, PyTorch, MLX, JAX, or other modern deep learning frameworks. Previous experience with older libraries like Theano or Caffe is also accepted. (May supplement with graduate level education or research experience). Knowledge of and experience in implementing ethical AI practices, with at least 2 years spent working on projects that require explainable AI, fairness, and bias mitigation. Minimum of 3 years of proficiency in utilizing advanced prompt engineering techniques like General Knowledge Prompting and ReAct. Adept at using libraries like LangChain or OpenPrompt for complex projects. Possess the capability to mitigate prompt injection attacks and use tools like Guardrails or PromptInject for securing prompt engineering pipelines. Minimum of 3 years of experience in successfully productionizing AI models, including constructing scalable data pipelines and establishing robust monitoring systems. 3 or more years working within Agile-like teams and environments. Knowledge, Skills, and Abilities Experience developing deep learning architectures such as CNNs, transformers, GANs, LSTMs, GNNs, Autoencoders, Diffusion Models, and Neural Ordinary Differential Equations (NODEs). Proficiency in debugging AI systems and enhancing performance through hyperparameter tuning and similar techniques. Proven experience in productionizing models by constructing scalable data pipelines, low-latency services, and robust monitoring. Familiarity with software design patterns, microservices, distributed computing, container orchestration, and other relevant architectures. Proficient software engineering skills as well as skills building secure, stable software systems at scale. Proficiency in developing and optimizing ML solutions using languages like Python, and libraries such as NumPy, Pandas, Matplotlib and scikit-learn. Familiarity working with traditional ML lifecycles. Familiarity with building minimal interfaces to interact with AI products, e.g., Streamlit or Shiny. Familiarity with ethical AI practices including explainable AI, fairness, and mitigation of bias/hallucinations. Strong communication, collaboration, and mentorship skills. Growing ability to articulate the technical details and tradeoffs of AI solutions to non-technical stakeholders in a clear and concise manner. Physical Requirements The following have been identified as essential physical requirements of this job and must be performed with or without an accommodation: This is primarily a sedentary role which requires the ability to exert up to 10 lbs. of force occasionally and/or a negligible amount of force frequently or constantly to lift, carry, push, pull, or otherwise move objects, including the human body. This role requires the ability to keyboard and to communicate clearly and understandably in person and over the telephone. Premera total rewards Our comprehensive total rewards package provides support, resources, and opportunities to help employees thrive and grow. Our total rewards are more than a collection of perks, they're a reflection of our commitment to your health and well-being. We offer a broad array of rewards including physical, financial, emotional, and community benefits, including: Medical, vision, and dental coverage with low employee premiums. Voluntary benefit offerings, including pet insurance for paw parents. Life and disability insurance. Retirement programs, including a 401K employer match and, believe it or not, a pension plan that is vested after 3 years of service. Wellness incentives with a wide range of mental well-being resources for you and your dependents, including counseling services, stress management programs, and mindfulness programs, just to name a few. Generous paid time off to reenergize. Looking for continuing education? We have tuition assistance for both undergraduate and graduate degrees. Employee recognition program to celebrate anniversaries, team accomplishments, and more. For our hybrid employees, our on-campus model provides flexibility to create your own routine with access to on-site resources, networking opportunities, and team engagement. Commuter perks make your trip to work less impactful on the environment and your wallet. Free convenient on-site parking. Subsidized on-campus cafes make lunchtime connections with colleagues fun and affordable. Participate in engaging on-site activities such as health and wellness events, coffee connects, disaster preparedness fairs and more. Our complementary fitness & well-being center offers both in-person and virtual workouts and nutritional counseling. Need a brain break? Challenge someone to a game of shuffleboard or ping pong while on campus. Equal employment opportunity/affirmative action: Premera is an equal opportunity/affirmative action employer. Premera seeks to attract and retain the most qualified individuals without regard to race, color, religion, sex, national origin, age, disability, marital status, veteran status, gender or gender identity, sexual orientation, genetic information or any other protected characteristic under applicable law. If you need an accommodation to apply online for positions at Premera, please contact Premera Human Resources via email at or via phone at . Premera is hiring in the following states, with some limitations based on role or city: Alaska, Arizona, Arkansas, California, Colorado, Florida, Georgia, Idaho, Iowa, Kansas, Kentucky, Maine, Michigan, Minnesota, Missouri, Montana, Nevada, New Hampshire, New Mexico, North Carolina, Oklahoma, Oregon, South Carolina, South Dakota, Tennessee, Texas, Utah, Washington, Wisconsin . The pay for this role will vary based on a range of factors including . click apply for full job details