211 jobs found

Job Description Job Description Mikinok Enterprises has revolutionized the emergency loan market by using sophisticated machine learning (artificial intelligence) and big data to detect fraud and predict payback. We're looking for a Senior Credit Strategy Analyst to drive credit strategies for Mikinok's subprime consumer lending portfolio. This role is critical to balancing growth, profitability, and losses in a fast-moving environment. You'll lead strategy development projects from marketing and underwriting through collections and recovery. This is a high-autonomy, high-ownership role where you'll design experiments, build analytical frameworks that drive multi-million-dollar decisions, and see your work move from hypothesis to production in weeks, not quarters. You'll partner closely with Data Science, Engineering, Project Management, and Operations teams to translate insight into scalable credit strategies that materially impact portfolio performance In this role, you will Design, implement, and optimize strategies spanning recovery, underwriting, model monitoring, fraud, loan sizing/terms, and - especially - marketing, where disciplined segmentation and treatment testing directly move the bottom line Own policy development and changes including testing, rollout, and post-implementation monitoring Analyze portfolio performance using SQL/Python and BI to OLS to identify trends, risks, and opportunities within key metrics Cost for new account originated Default rates, Delinquency rates Loss rates and unit economics Repeat behavior and churn Recommend proactive strategy adjustments based on identified emerging risks and upsides. Build and evaluate test-and-learn experiments (A/B tests, DOE) across the customer life-cycle by isolating causal drivers of loss, delinquency, and recovery rates to control downside risk Partner with Data Science on model development, performance assessments, and model-strategy alignment across customer life-cycle Translate technical findings into clear recommendations for senior leadership and present at company-wide quarterly business reviews (QBR) Mentor junior analysts and help establish best practice in data analytics for credit team Requirements Mandatory Qualifications Bachelor's Degree in an analytical/quantitative field (Math, Physics, Statistics, Engineering, Computer Science) from a competitive school. Elite quantitative & analytical skills. Proven ability to drive analytical projects and insights (3+ years experience) Strong proficiency in SQL and/or experience using Python for analysis (3+ years) Experience using advanced Microsoft Excel or Google Sheets analytics tools (spreadsheet formulas, pivot tables, statistical add-ins, VBA, data management and merging tools) (2+ years) Demonstrated experience in analyzing data to draw business-relevant conclusions and in data visualization techniques and tools. Ability to work in a fast-paced, collaborative environment Strong interpersonal, leadership, and communication skills Please Note: We are interested in every qualified candidate who is authorized to work for ANY employer in the United States. We are unable to sponsor or take over sponsorship of an employment Visa at this time. Desired Qualifications Advanced degree in an analytical/quantitative field (Math, Physics, Statistics, Engineering, Computer Science) from a competitive school. 5+ years of experience in complex, data-driven problem solving ideally within financial services or consulting or credit bureau Hands-on experience with credit bureau, alternative data, lead generation, and behavioral performance data Deep understanding of sub-prime credit dynamics including volatility, adverse selection, and risk layering Exposure to marketing strategy or optimization Benefits The opportunity to help bring much-needed income and economic development to the Turtle Mountain Band of Chippewa Indians Competitive salary and bonus structure Generous employee benefits plan, including robust healthcare plans, matching 401K, and four weeks of PTO Company-sponsored professional development and training opportunities About the Company Mikinok Enterprises (d/b/a Spotloan) is a leading online direct lender founded in 2012 that utilizes advanced underwriting technology to provide short-term loans to Americans in need. Mikinok is wholly owned and operated by the Turtle Mountain Band of Chippewa Indians of North Dakota, a Federally-recognized Native American Tribe (the "Tribe"). Mikinok Enterprises is an integral part of the Tribe's economic development efforts, and it is an essential provider of employment opportunities on the Tribe's reservation. Employment decisions at Mikinok are based on qualifications, ability, and merit. When qualifications are equal, candidates who are enrolled members of the Tribe will receive preference. After considering this preference, it is Mikinok's policy to provide equal employment opportunity to all qualified persons without regard to race, color, religion, sexual orientation, age, disability, or national origin.

Job Description Job Description Overview We're looking for a Senior Principal AI Engineer to provide hands-on technical leadership across complex, production-grade AI systems. This role is for a builder-architect-someone who has repeatedly taken AI systems from idea to production, understands where they fail at scale, and knows how to unblock teams to move faster without sacrificing outcomes. This is not a pure strategy or people-management role. It is a deeply technical builder role with organizational impact. You will define technical direction by writing code, designing systems, and helping the organization stay in builder mode as complexity and scale increase. What You'll Do Architect and build end-to-end AI systems including LLM orchestration, retrieval layers, agentic workflows, and structured reasoning systems Lead the design of multi-agent and tool-calling systems that operate reliably in production Establish and evolve architecture patterns for scalable, cost-aware, and observable AI applications Drive technical decisions across data modeling, AI pipelines, infrastructure, and APIs Define best practices for evaluation, monitoring, and governance of AI systems in production Mentor senior engineers through design reviews, code reviews, and system-level debugging Translate ambiguous business and domain problems into clear technical strategies Stay ahead of emerging AI techniques and integrate what matters-without chasing hype Core Skills & Experience 12+ years of software engineering experience, with deep hands-on experience building AI/ML systems in production Strong proficiency in TypeScript, React, Go, Python and modern AI frameworks Extensive experience with LLMs, including RAG, tool use, prompt systems, and agentic architectures Proven ability to design and ship large-scale AI systems that run reliably in real-world environments Strong architectural judgment across data systems, AI models, infrastructure, and application layers Deep understanding of AI failure modes: hallucination, drift, brittleness, latency, and cost blowups Excellent communication skills-able to explain technical tradeoffs to both technical and non-technical audiences Track record of shipping systems end-to-end, not just prototypes or research work Builder Mentality (This Is Core to the Role) We are explicitly looking for builders. By " builder, " we mean an operating mode, not a title. Builders: Bias toward systems that solve user needs, not perfect abstractions Move comfortably from ambiguity first draft iteration production Optimize for learning velocity and customer impact, not theoretical completeness Are willing to build the entire arc of a system to surface real constraints early Treat quality as something you earn through iteration, not something you gate progress with Understand that the last 10-20% of a system-integration, edge cases, UX, usability, reliability-is where real work happens At the Principal level, being a builder also means: Helping the organization stay in builder mode as it grows Collapsing unnecessary complexity rather than introducing more process Knowing when architectural rigor matters, and when it is premature Pulling promising work across the finish line instead of waiting for "perfect readiness" Modeling speed, ownership, and clarity for other senior engineers Your impact is measured not only by what you build, but by how much faster and more effectively others can build because of you. Preferred Experience (Domain-Flexible Specialties) Knowledge graph architecture, ontology design, or semantic modeling in complex domains Graph databases, graph query languages, or graph ML techniques Hybrid systems combining structured reasoning with LLM-based approaches Entity resolution, schema alignment, or knowledge fusion at scale AI systems requiring explainability, auditability, or lineage tracking Experience building AI systems in regulated or high-stakes domains (finance, healthcare, legal, government) MLOps, evaluation infrastructure, or long-running AI services operating at scale What You'll Love Owning the technical direction of real AI systems that make it into production Solving hard, ambiguous problems where architecture and execution matter equally Leading through hands-on building, not layers of process Working in an environment that values shipping, learning, and iteration over perfection Having the latitude to shape both systems and how teams build them About Us We are an AI-first company, and we mean that literally. AI is not a feature we bolt on. It's not a marketing layer. It's not a roadmap experiment. It is the foundation of how we design, build, and operate. We are building systems where machines do what machines do best: pattern recognition, synthesis, analysis at scale. As well as what humans do what humans do best: judgment, context, trust, and accountability. That means rethinking workflows from the ground up. Not "how do we add AI to this process?" but "how should this process exist in a machine-augmented world?" We care deeply about shipping real systems that work in production. In regulated environments. With real customers. At scale. If you're excited to help invent the next way software is built and deployed, and to do it alongside a team of deeply pragmatic, AI-obsessed builders, we'd love to talk. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Job Description Job Description Mikinok Enterprises has revolutionized the emergency loan market by using sophisticated machine learning (artificial intelligence) and big data to detect fraud and predict payback. We're looking for a Senior Credit Strategy Analyst to drive credit strategies for Mikinok's subprime consumer lending portfolio. This role is critical to balancing growth, profitability, and losses in a fast-moving environment. You'll lead strategy development projects from acquisition and underwriting through collections and recovery. This is a high-autonomy, high-ownership role where you'll design experiments, build analytical frameworks that drive multi-million-dollar decisions, and see your work move from hypothesis to production in weeks, not quarters. You'll partner closely with Data Science, Engineering, Project Management, and Operations teams to translate insight into scalable credit strategies that materially impact portfolio performance In this role, you will Design, implement, and optimize strategies spanning marketing, underwriting, model monitoring, fraud, loan sizing/terms, and - especially - collections and recovery, where disciplined segmentation and treatment testing directly move the bottom line Own policy development and changes including testing, rollout, and post-implementation monitoring Analyze portfolio performance using SQL/Python and BI to OLS to identify trends, risks, and opportunities within key metrics Cost for new account originated Default rates, Delinquency rates Loss rates and unit economics Repeat behavior and churn Recommend proactive strategy adjustments based on identified emerging risks and upsides. Build and evaluate test-and-learn experiments (A/B tests, DOE) across the customer life-cycle by isolating causal drivers of loss, delinquency, and recovery rates to control downside risk Partner with Data Science on model development, performance assessments, and model-strategy alignment across customer life-cycle Translate technical findings into clear recommendations for senior leadership and present at company-wide quarterly business reviews (QBR) Mentor junior analysts and help establish best practice in data analytics for credit team Requirements Mandatory Qualifications Bachelor's Degree in an analytical/quantitative field (Math, Physics, Statistics, Engineering, Computer Science) from a competitive school. Elite quantitative & analytical skills. Proven ability to drive analytical projects and insights (3+ years experience) Strong proficiency in SQL and/or experience using Python for analysis (3+ years) Experience using advanced Microsoft Excel or Google Sheets analytics tools (spreadsheet formulas, pivot tables, statistical add-ins, VBA, data management and merging tools) (2+ years) Demonstrated experience in analyzing data to draw business-relevant conclusions and in data visualization techniques and tools. Ability to work in a fast-paced, collaborative environment Strong interpersonal, leadership, and communication skills Please Note: We are interested in every qualified candidate who is authorized to work for ANY employer in the United States. We are unable to sponsor or take over sponsorship of an employment Visa at this time. Desired Qualifications Advanced degree in an analytical/quantitative field (Math, Physics, Statistics, Engineering, Computer Science) from a competitive school. 5+ years of experience in complex, data-driven problem solving ideally within financial services or consulting or credit bureau Hands-on experience with credit bureau, alternative data, lead generation, and behavioral performance data Deep understanding of sub-prime credit dynamics including volatility, adverse selection, and risk layering Exposure to collections strategy or recovery optimization Benefits The opportunity to help bring much-needed income and economic development to the Turtle Mountain Band of Chippewa Indians Competitive salary and bonus structure Generous employee benefits plan, including robust healthcare plans, matching 401K, and four weeks of PTO Company-sponsored professional development and training opportunities About the Company Mikinok Enterprises (d/b/a Spotloan) is a leading online direct lender founded in 2012 that utilizes advanced underwriting technology to provide short-term loans to Americans in need. Mikinok is wholly owned and operated by the Turtle Mountain Band of Chippewa Indians of North Dakota, a Federally-recognized Native American Tribe (the "Tribe"). Mikinok Enterprises is an integral part of the Tribe's economic development efforts, and it is an essential provider of employment opportunities on the Tribe's reservation. Employment decisions at Mikinok are based on qualifications, ability, and merit. When qualifications are equal, candidates who are enrolled members of the Tribe will receive preference. After considering this preference, it is Mikinok's policy to provide equal employment opportunity to all qualified persons without regard to race, color, religion, sexual orientation, age, disability, or national origin.

Job Description Job Description About ATI: Automated Tire (ATI) is a Series-B startup revolutionizing automotive service with innovative robotic and software technology. Founded by experienced entrepreneurs and backed by major players in the automotive and tire sectors, ATI is building the next generation of tools that make tire shops and dealership service lanes faster, safer, and smarter. If you're passionate about building products that ship into real-world environments, ATI is the place for you. Position Overview: BrakeWise is our production brake inspection product: a mobile application paired with a camera probe that technicians use to assess pad and rotor condition during live service work. The machine learning behind it is a multi-stage pipeline of segmentation and classification models that turn raw imagery into a wear assessment a shop can act on and charge for. That pipeline works, and it is an MVP. It runs on Cloud Functions, and it will not carry us to the customer volume we're signing. We're looking for a Staff MLOps Engineer to own it - to take it from a working prototype to a serving architecture that holds up under real throughput, with the latency, cost, and reliability characteristics a paying customer expects. You'll own every aspect of how our models reach production and how they get better: serving infrastructure, deployment and rollback, monitoring and drift detection, the retraining loop, and the evaluation discipline that tells us whether a new model is actually an improvement. Model accuracy here has commercial consequences - a bad wear call is either a missed repair or an unnecessary one, in front of a customer. This is also the senior cloud architecture voice on the team. You'll partner closely with our Staff Full Stack Engineer, who owns the mobile app and customer dashboard, reviewing designs and setting GCP practices across the platform rather than only within the ML stack. Responsibilities: Own the multi-stage inference pipeline (segmentors and classifiers) end to end - serving architecture, latency, throughput, reliability, and cost per inspection Re-architect the pipeline off its current Cloud Functions MVP onto infrastructure that scales: containerized inference, GPU-backed or accelerated serving where it pays for itself, queueing, batching, and autoscaling Own model deployment: versioning, staged rollout, canary and shadow evaluation, and fast rollback when a model regresses Build and own the improvement loop - field data collection, labeling workflows, dataset versioning, evaluation harnesses, and regression suites that catch quality loss before customers do Monitor model quality in production: drift detection, segmented performance analysis, and triage of real-world failures against real inspection imagery Define the metrics that matter commercially - false-positive and false-negative rates on a wear call, technician override rate, unit inference cost - and report against them Improve model performance directly: architecture selection, augmentation, hard-example mining, and quantization or distillation where latency and cost demand it Evaluate on-device versus cloud inference trade-offs for the mobile app, and own whichever path we choose Establish MLOps foundations: reproducible training, experiment tracking, CI/CD for models, and infrastructure as code Serve as the cloud architecture counterpart to the Staff Full Stack Engineer - reviewing designs, setting GCP best practices, and raising the platform's infrastructure bar Work with hardware and field operations on capture quality - lighting, focus, and probe positioning - since upstream image quality sets the ceiling on model performance Own production support for the ML stack, including incident response and on-call participation for inference availability Proactively identify technical risks and architectural trade-offs, and communicate them clearly to leadership Requirements 8+ years of professional engineering experience, including several years owning machine learning systems in production - not solely model development Demonstrated experience taking a computer vision pipeline from prototype to production scale, serving real users at meaningful volume Deep experience deploying and operating segmentation and classification models, including multi-stage pipelines where one model's output feeds the next Strong cloud infrastructure background, preferably GCP - Vertex AI, Cloud Run, GKE, Cloud Functions, Cloud SQL, Pub/Sub, and Docker Production-grade Python, and fluency with PyTorch or TensorFlow Hands-on experience with model serving and optimization - Triton, TorchServe, ONNX, TensorRT, quantization, or equivalent Experience owning deployment and support for a live system, including incident response, rollback, and on-call Experience building data and labeling pipelines with dataset versioning and reproducible evaluation Comfort with infrastructure as code (e.g., Terraform) and CI/CD automation (e.g., GitHub Actions) Sound judgment on the accuracy, latency, and cost trade-offs that determine whether an ML product is viable Excellent problem-solving, debugging, and communication skills, including with non-technical stakeholders Preferred Qualifications: On-device or edge inference experience (Core ML, TensorFlow Lite, ExecuTorch) and integration into mobile applications Active learning or human-in-the-loop labeling systems Computer vision on small, long-tail, or industrial inspection datasets rather than large public benchmarks Experience with camera and sensor integration, or working alongside hardware teams on capture quality Experience with robotics, IoT, or edge computing (ROS or similar platforms) Familiarity with automotive service, dealership operations, or DMS ecosystems Contributions to open-source projects Why Join ATI: Be part of a groundbreaking startup transforming automotive service technology Work with a team of industry veterans and top-tier robotics and software talent Own the ML platform for a product that already has paying customers - your architecture decisions set the scaling ceiling Our customers are our investors, so you'll develop and test in real service lane environments A genuine data advantage: proprietary inspection imagery from real shops that no public dataset can replicate Clear Total Addressable Market with strong pull from B2B partners Competitive salary and comprehensive benefits package Prime location in Woburn, MA with on-site parking Collaborative, low-ego, high-intensity work environment

Job Description Job Description Mikinok Enterprises has revolutionized the emergency loan market by using sophisticated machine learning (artificial intelligence) and big data to detect fraud and predict payback. We're looking for a Senior Credit Strategy Analyst to drive credit strategies for Mikinok's subprime consumer lending portfolio. This role is critical to balancing growth, profitability, and losses in a fast-moving environment. You'll lead strategy development projects from acquisition and underwriting through collections and recovery. This is a high-autonomy, high-ownership role where you'll design experiments, build analytical frameworks that drive multi-million-dollar decisions, and see your work move from hypothesis to production in weeks, not quarters. You'll partner closely with Data Science, Engineering, Project Management, and Operations teams to translate insight into scalable credit strategies that materially impact portfolio performance In this role, you will Design, implement, and optimize strategies spanning marketing, underwriting, model monitoring, fraud, loan sizing/terms, and - especially - collections and recovery, where disciplined segmentation and treatment testing directly move the bottom line Own policy development and changes including testing, rollout, and post-implementation monitoring Analyze portfolio performance using SQL/Python and BI to OLS to identify trends, risks, and opportunities within key metrics Cost for new account originated Default rates, Delinquency rates Loss rates and unit economics Repeat behavior and churn Recommend proactive strategy adjustments based on identified emerging risks and upsides. Build and evaluate test-and-learn experiments (A/B tests, DOE) across the customer life-cycle by isolating causal drivers of loss, delinquency, and recovery rates to control downside risk Partner with Data Science on model development, performance assessments, and model-strategy alignment across customer life-cycle Translate technical findings into clear recommendations for senior leadership and present at company-wide quarterly business reviews (QBR) Mentor junior analysts and help establish best practice in data analytics for credit team Requirements Mandatory Qualifications Bachelor's Degree in an analytical/quantitative field (Math, Physics, Statistics, Engineering, Computer Science) from a competitive school. Elite quantitative & analytical skills. Proven ability to drive analytical projects and insights (3+ years experience) Strong proficiency in SQL and/or experience using Python for analysis (3+ years) Experience using advanced Microsoft Excel or Google Sheets analytics tools (spreadsheet formulas, pivot tables, statistical add-ins, VBA, data management and merging tools) (2+ years) Demonstrated experience in analyzing data to draw business-relevant conclusions and in data visualization techniques and tools. Ability to work in a fast-paced, collaborative environment Strong interpersonal, leadership, and communication skills Please Note: We are interested in every qualified candidate who is authorized to work for ANY employer in the United States. We are unable to sponsor or take over sponsorship of an employment Visa at this time. Desired Qualifications Advanced degree in an analytical/quantitative field (Math, Physics, Statistics, Engineering, Computer Science) from a competitive school. 5+ years of experience in complex, data-driven problem solving ideally within financial services or consulting or credit bureau Hands-on experience with credit bureau, alternative data, lead generation, and behavioral performance data Deep understanding of sub-prime credit dynamics including volatility, adverse selection, and risk layering Exposure to collections strategy or recovery optimization Benefits The opportunity to help bring much-needed income and economic development to the Turtle Mountain Band of Chippewa Indians Competitive salary and bonus structure Generous employee benefits plan, including robust healthcare plans, matching 401K, and four weeks of PTO Company-sponsored professional development and training opportunities About the Company Mikinok Enterprises (d/b/a Spotloan) is a leading online direct lender founded in 2012 that utilizes advanced underwriting technology to provide short-term loans to Americans in need. Mikinok is wholly owned and operated by the Turtle Mountain Band of Chippewa Indians of North Dakota, a Federally-recognized Native American Tribe (the "Tribe"). Mikinok Enterprises is an integral part of the Tribe's economic development efforts, and it is an essential provider of employment opportunities on the Tribe's reservation. Employment decisions at Mikinok are based on qualifications, ability, and merit. When qualifications are equal, candidates who are enrolled members of the Tribe will receive preference. After considering this preference, it is Mikinok's policy to provide equal employment opportunity to all qualified persons without regard to race, color, religion, sexual orientation, age, disability, or national origin.

What you will do The AI Vision Systems Specialist is responsible for designing, developing, and deploying computer vision solutions that enable intelligent automation and quality control in Clarios manufacturing plants. This role supports the Future Factory vision by integrating advanced vision systems and AI algorithms into production lines. The specialist works closely with IT, product engineering, operations, and regional teams to deliver scalable, robust, and innovative solutions for automated inspection and process optimization. A key part of this role is connecting with business stakeholders across regions to collaboratively identify and align on pain points and priorities. The specialist will develop proof-of-concept (PoC) solutions in lab environments, validate them, and drive the integration of core solutions into base machines for global deployment. This position is remote with possible relocation required. How you will do it Business Engagement & Needs Identification Proactively engage with business and plant teams across regions to understand operational challenges, pain points, and improvement opportunities. Collaborate with business owners to create product roadmaps that prioritize delivery of key capabilities to the plants. Facilitate workshops and collaborative sessions to define priorities for vision system applications Solution Development & Deployment Design, develop, and implement computer vision systems for automated inspection, defect detection, and process monitoring. Develop PoC solutions in lab environments, validate with stakeholders, and drive integration into base machines. Integrate vision systems (edge devices, cameras, sensors, lighting) with manufacturing equipment. Create predictive and preventative maintenance schedule along with necessary spare parts list to ensure long-term viability of solutions. Collaborate with IT and engineering to deploy AI models and data pipelines for real-time analytics. Regional Execution & Scalability Lead and support deployment of vision solutions across multiple regions, ensuring adaptability to local requirements and standards. Coordinate with regional teams for pilot builds, R&D trials, commissioning, and feedback loops. Technical Leadership & Documentation Evaluate and select hardware/software for vision applications in brownfield and greenfield scenarios. Develop and maintain technical documentation, including Supplier Statements of Work (SSOW), Bills of Materials (BOM), System calibration and quality procedures, and spare parts lists. Guide vendor selection and manage strategic partnerships with equipment suppliers and integrators. Continuous Improvement & Innovation Stay current with emerging technologies in computer vision, machine learning, and industrial automation. Conduct benchmarking and share findings with global teams. Champion innovation and standardization across sites and regions. Communication & Collaboration Communicate technical concepts and project status to stakeholders at all levels, including executive leadership. Foster cross-functional and cross-regional collaboration to ensure alignment and best practice sharing. To succeed in this role, the individual must have a sound knowledge of vision systems in addition to internal business acumen: Visionary thinking and technical leadership in computer vision for manufacturing. Strong business acumen and ability to translate operational needs into technical solutions. Innovation and adaptability in fast-paced, evolving environments. Effective communication and collaboration across functions, cultures, and regions. Structured planning, project management, and follow-through. What we look for Required Bachelor's or Master's degree in Computer Science, Electrical Engineering, Robotics, or related field. 3+ years of experience in computer vision, machine learning, or automation engineering. Experience with vision system integration in manufacturing or industrial environments. Familiarity with industrial cameras, sensors, and lighting systems. Experience deploying AI models to edge devices or cloud platforms. Proficiency in 3D CAD tools and simulation software is a plus. Experience leading cross-functional projects in international settings. FUTURE RELOCATION TO TEXAS IS REQUIRED What you get: Medical, dental and vision care coverage and a 401(k) savings plan with company matching - all starting on date of hire Tuition reimbursement, perks, and discounts Parental and caregiver leave programs All the usual benefits such as paid time off, flexible spending, short-and long-term disability, basic life insurance, business travel insurance, and Employee Assistance Program Global market strength and worldwide market share leadership HQ location earns LEED certification for sustainability plus a full-service cafeteria and workout facility Clarios has been recognized as one of 2026's Most Ethical Companies by Ethisphere. This prestigious recognition marks the fourth consecutive year Clarios has received this distinction. Who we are: Clarios is the force behind the world's most recognizable car battery brands, powering vehicles from leading automakers like Ford, General Motors, Toyota, Honda, and Nissan. With 18,000 employees worldwide, we develop, manufacture, and distribute energy storage solutions while recovering, recycling, and reusing up to 99% of battery materials-setting the standard for sustainability in our industry. At Clarios, we're not just making batteries; we're shaping the future of sustainable transportation. Join our mission to innovate, push boundaries, and make a real impact. Discover your potential at Clarios-where your power meets endless possibilities. Veterans/Military Spouses: We value the leadership, adaptability, and technical expertise developed through military service. At Clarios, those capabilities thrive in an environment built on grit, ingenuity, and passion-where you can grow your career while helping to power progress worldwide. All qualified applicants will be considered without regard to protected characteristics. Equal Employment Opportunity: We recognize that people come with a wealth of experience and talent beyond just the technical requirements of a job. If your experience is close to what you see listed here, please apply. Diversity of experience and skills combined with passion is key to challenging the status quo. Therefore, we encourage people from all backgrounds to apply to our positions. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, age, status as a protected veteran or other protected characteristics protected by law. As a federal contractor, we are committed to not discriminating against any applicant or employee based on these protected statuses. We will also take affirmative action to ensure equal employment opportunities. Please let us know if you require accommodations during the interview process by emailing . We are an Equal Opportunity Employer and value diversity in our teams in terms of work experience, area of expertise, and all characteristics protected by laws in the countries where we operate. For more information on our commitment to sustainability, diversity, and equal opportunity, please read our latest report . We want you to know your rights because EEO is the law. A Note to Job Applicants: please be aware of scams being perpetrated through the Internet and social media platforms. Clarios will never require a job applicant to pay money as part of the application or hiring process. To All Recruitment Agencies: Clarios does not accept unsolicited agency resumes/CVs. Please do not forward resumes/CVs to our careers email addresses, Clarios employees or any other company location. Clarios is not responsible for any fees related to unsolicited resumes/CVs.

Our vision is to transform how the world uses information to enrich life for all . Micron Technology is a world leader in innovating memory and storage solutions that accelerate the transformation of information into intelligence, inspiring the world to learn, communicate and advance faster than ever. Summary The O&M Gas Systems Engineer supports the safe, reliable, and efficient operation of bulk and specialty gas delivery systems that enable semiconductor manufacturing. This role partners with Operations, Maintenance, Manufacturing, Safety, and Engineering teams to improve system reliability, troubleshoot complex equipment issues, drive continuous improvement initiatives, and support capital and operational projects while ensuring compliance with environmental, health, safety, and quality standards. The engineer leverages data analytics, AI-enabled tools, and digital technologies to enhance decision-making, optimize system performance, and improve operational efficiency. Responsibilities Support the operation, maintenance, and continuous improvement of bulk and specialty gas systems to ensure safe and reliable semiconductor manufacturing operations. Analyze system performance data, identify improvement opportunities, troubleshoot equipment issues, and lead root cause investigations to improve reliability and reduce risk. Utilize AI, machine learning, and advanced analytics tools to identify trends, predict equipment failures, optimize maintenance strategies, and enhance operational performance. Develop and implement digital solutions, dashboards, automated reporting, and data visualization tools that improve engineering efficiency and decision-making. Ensure compliance with Micron safety, environmental, quality, and change management requirements while promoting a strong safety culture. Partner with Operations, Maintenance, Manufacturing, and other stakeholders to resolve system issues, improve equipment performance, and support production goals. Lead and support engineering projects including equipment upgrades, new installations, commissioning activities, and reliability improvements. Develop and maintain engineering documentation, design standards, procedures, specifications, and preventive maintenance strategies. Utilize engineering principles, TPM methodologies, and data-driven insights to drive cost savings, efficiency improvements, and operational excellence. Provide technical guidance and support to cross-functional teams while effectively communicating project status, risks, recommendations, and data-driven conclusions. Minimum Qualifications Bachelor's degree in Engineering, Chemistry, Semiconductor Technology, or a related technical field, or equivalent combination of education and experience. Strong analytical and troubleshooting skills with the ability to identify root causes and implement effective corrective actions. Ability to work effectively in a cross-functional team environment and communicate technical information clearly to diverse audiences. Experience using engineering data, schematics, technical documentation, and standard problem-solving methodologies. Familiarity with data analytics, AI-assisted tools, or digital technologies used to support engineering, maintenance, or operational decision-making. Demonstrated commitment to safety, quality, and continuous improvement. Preferred Qualifications Experience supporting industrial utility systems, gas delivery systems, semiconductor facilities, or related manufacturing environments. Knowledge of high-purity gas systems, instrumentation and controls, mechanical systems, and reliability engineering principles. Experience applying AI, machine learning, predictive analytics, or digital engineering tools to improve equipment reliability, maintenance effectiveness, or operational performance. Experience leading projects, coordinating cross-functional teams, and managing multiple priorities simultaneously. Familiarity with TPM, FMEA, root cause analysis, risk assessment, and continuous improvement methodologies. Experience developing automated workflows, dashboards, reporting systems, or engineering solutions using tools such as Microsoft Copilot, Power BI, Power Automate, Python, SQL, CMMS, SAP, Maximo, or similar platforms. Experience using AI-assisted productivity and engineering tools to improve technical documentation, data analysis, troubleshooting, and operational decision-making. As a world leader in the semiconductor industry, Micron is dedicated to your personal wellbeing and professional growth. Micron benefits are designed to help you stay well, provide peace of mind and help you prepare for the future. We offer a choice of medical, dental and vision plans in all locations enabling team members to select the plans that best meet their family healthcare needs and budget. Micron also provides benefit programs that help protect your income if you are unable to work due to illness or injury, and paid family leave. Additionally, Micron benefits include a robust paid time-off program and paid holidays. For additional information regarding the Benefit programs available, please see the Benefits Guide posted on . Micron is proud to be an equal opportunity workplace and is an affirmative action employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, age, national origin, citizenship status, disability, protected veteran status, gender identity or any other factor protected by applicable federal, state, or local laws. To learn about your right to work click here. To learn more about Micron, please visit For US Sites Only: To request assistance with the application process and/or for reasonable accommodations, please contact Micron's People Organization at or 1- (select option ) Micron Prohibits the use of child labor and complies with all applicable laws, rules, regulations, and other international and industry labor standards. Micron does not charge candidates any recruitment fees or unlawfully collect any other payment from candidates as consideration for their employment with Micron. AI alert: Candidates are encouraged to use AI tools to enhance their resume and/or application materials. However, all information provided must be accurate and reflect the candidate's true skills and experiences. Misuse of AI to fabricate or misrepresent qualifications will result in immediate disqualification. Fraud alert: Micron advises job seekers to be cautious of unsolicited job offers and to verify the authenticity of any communication claiming to be from Micron by checking the official Micron careers website in the About Micron Technology, Inc.

Job Description Job Description About the Institute of Foundation Models The Institute of Foundation Models is a dedicated research lab focused on building, understanding, using, and risk-managing foundation models. Our mission is to advance AI research, support the next generation of AI builders, and develop impactful systems that improve how frontier models are trained, evaluated, deployed, and governed. As part of our team, you will work closely with researchers, machine learning engineers, data scientists, software engineers, and product teams on some of the most important challenges in AI development. You will contribute to systems that help measure model quality, identify failure modes, and improve the reliability, safety, and readiness of model releases. The Role We are looking for an Eval360 - Error Analysis Engineer to help build, improve, and operate Eval360, an evaluation service that serves as a quality gate for AI models. This person will focus specifically on error analysis : understanding where models fail, why they fail, how those failures should be categorized, and how evaluation systems can better detect, measure, and prevent these issues before models are released. You will collaborate with researchers, machine learning engineers, product managers, data scientists, and platform teams to develop AI evaluation applications and internal tools based on next-generation AI research. You will be part of a cross-functional team responsible for the full software development lifecycle, from requirements gathering and system design to implementation, deployment, monitoring, debugging, documentation, and continuous improvement. The ideal candidate is comfortable working across the stack, including front-end interfaces for reviewing errors, back-end evaluation pipelines, data analysis workflows, model evaluation infrastructure, databases, dashboards, and APIs. This person should have strong software engineering skills, excellent analytical judgment, and the ability to turn ambiguous model failures into structured insights that improve evaluation quality. Key Responsibilities • Collaborate with researchers, machine learning engineers, data scientists, product managers, and internal stakeholders to implement innovative software solutions for Eval360 and related model evaluation workflows. • Build and improve Eval360 as an evaluation service that acts as a quality gate for model development, model comparison, and model release decisions. • Perform deep error analysis on model outputs, including identifying failure patterns, categorizing issues, tracing root causes, and proposing improvements to evaluation methodology. • Develop tools, workflows, and dashboards that make it easier for researchers and engineers to inspect model failures, compare model behavior, and understand quality regressions. • Design and implement client-side and server-side architecture for evaluation review systems, error analysis interfaces, reporting tools, and internal evaluation applications. • Develop responsive, usable interfaces that support error triage, annotation review, evaluation debugging, and model quality investigation. • Build and maintain back-end services, APIs, data pipelines, and integrations that support evaluation execution, results storage, analysis, and reporting. • Test software to ensure responsiveness, correctness, reliability, and efficiency across evaluation workflows. • Troubleshoot, debug, and upgrade evaluation systems, including identifying issues in data processing, evaluation metrics, model output handling, job orchestration, and user-facing analysis tools. • Create and maintain security, access control, and data protection settings for evaluation data, model outputs, annotations, and internal tooling. • Write clear technical documentation for Eval360 systems, error taxonomies, evaluation workflows, debugging procedures, and user-facing tools. • Work with researchers, data scientists, analysts, and machine learning engineers to improve evaluation quality, model diagnostics, and failure-mode visibility. • Keep track of new development tools, evaluation frameworks, model analysis methods, data quality techniques, and architectures relevant to AI evaluation systems. • Contribute to the design of error taxonomies, evaluation rubrics, quality thresholds, regression detection methods, and model readiness criteria. • Help ensure Eval360 produces reliable, interpretable, and actionable signals for model quality gates. • Contribute to research publications, technical reports, internal knowledge sharing, and external presentations where appropriate. • Contribute to intellectual property and thought leadership in AI evaluation, error analysis, model quality measurement, and evaluation infrastructure. • Perform all other duties as reasonably directed by the line manager that are aligned with these functional objectives. Academic Qualifications • Bachelor's degree in Computer Science, Machine Learning, Data Science, Software Engineering, Statistics, or a related technical field required. • Master's or Ph.D. in Computer Science, Machine Learning, Artificial Intelligence, Data Science, or a related field preferred. Professional Experience • Proven experience as a Software Engineer, Full Stack Developer, Machine Learning Evaluation Engineer, Data Scientist, AI Engineer, or similar role. • Experience building software systems for AI, machine learning, data analysis, evaluation, annotation, experimentation, or model monitoring. • Experience working with AI algorithms and the ability to develop systems that accommodate AI-related requirements. • Experience performing error analysis, model evaluation, data quality analysis, or failure-mode investigation for machine learning or language model systems. • Experience developing internal applications, dashboards, review tools, or web-based workflows for technical users. • Familiarity with common software stacks, including front-end frameworks, back-end services, databases, APIs, and cloud or internal infrastructure. • Familiarity with GitHub, Git, CI/CD workflows, and collaborative software development practices. • Knowledge of front-end languages and libraries such as HTML, CSS, JavaScript, TypeScript, React, Angular, or similar technologies. • Knowledge of back-end languages and frameworks such as Python, Java, C#, Node.js, FastAPI, Flask, Django, or similar technologies. • Familiarity with databases such as MySQL, PostgreSQL, MongoDB, or other structured and unstructured data stores. • Familiarity with evaluation frameworks, experiment tracking systems, data pipelines, or machine learning infrastructure is strongly preferred. • Ability to analyze complex model outputs and translate qualitative failures into structured, measurable categories. • Strong problem-solving and troubleshooting skills, especially for ambiguous technical issues involving models, data, metrics, and software systems. • Effective communication and collaboration skills, with the ability to work across research, engineering, data, and product teams. • Strong attention to detail and a high bar for evaluation quality, reliability, and interpretability. Preferred Qualifications • Experience with large language models, foundation models, multimodal models, or model evaluation systems. • Experience designing or using error taxonomies, evaluation rubrics, benchmark datasets, human evaluation workflows, or automated grading systems. • Experience with Python-based data analysis tools such as pandas, NumPy, Jupyter, or similar. • Experience with visualization or dashboarding tools for model quality analysis. • Experience with distributed systems, job queues, workflow orchestration, or large-scale data processing. • Experience working in a research environment or with fast-moving AI product and model teams. Salary Range The posted salary range represents the company's good faith estimate of the compensation for this position upon hire. The actual compensation offered may vary within this range depending on individual qualifications, including but not limited to relevant skills, experience, education, certifications, geographic location, and specific business needs. Visa Sponsorship This position is eligible for visa sponsorship. Benefits Include • Comprehensive medical, dental, and vision benefits • Bonus • 401K plan • Generous paid time off, sick leave, and holidays • Paid parental leave • Employee assistance program • Life insurance and disability insurance

Intro Are you ready to explore a world of possibilities, both at work and during your time off? Join our American Airlines family, and you'll travel the world, grow your expertise and become the best version of you. As you embark on a new journey, you'll tackle challenges with flexibility and grace, learning new skills and advancing your career while having the time of your life. Feel free to enrich both your personal and work life and hop on board! Why you'll love this job As one diverse, high-performing team dedicated to technical excellence, you will focus relentlessly on delivering unrivaled digital products that drive a more reliable and profitable airline. The Infrastructure Domain in Information Technology manages and maintains the platforms, services, observability capabilities, resiliency frameworks, and technology foundations that underpin the airline's digital ecosystem. This domain covers observability, IT service management, resiliency engineering, cloud platforms, integration technologies, automation, and operational excellence. What you'll do This list is intended to reflect the current job but there may be additional essential functions (and certainly non-essential job functions) that are not referenced. Management will modify the job or require other tasks be performed whenever it is deemed appropriate to do so, observing, of course, any legal obligations including any collective bargaining obligations. Define and drive the architectural vision and strategy for the organization, ensuring alignment with business goals and technological advancements. Lead and mentor a team of architects and engineers, fostering a culture of innovation, collaboration, and continuous improvement. Oversee the design and implementation of complex architectural projects, ensuring they meet quality, performance, and security standards. Collaborate with senior executives, business leaders, and other stakeholders to understand business needs and translate them into architectural solutions. Evaluate and recommend new technologies, tools, and methodologies to enhance the organization's architectural capabilities. Establish and enforce architectural standards, guidelines, and best practices across the organization. Identify and mitigate architectural risks, ensuring the stability and scalability of IT systems. Lead the architecture and strategic direction for observability, resiliency, and operational intelligence capabilities across the enterprise. Establish measurable standards and metrics for service health and reliability, including availability, MTTD, MTTR, and business impact reduction. Partner across infrastructure, software, security, and business domains to improve operational resilience and accelerate incident detection and recovery. All you'll need for success Minimum Qualifications- Education & Prior Job Experience Bachelor's degree in Technology, Computer Science, Information Systems, or related technical discipline, or equivalent experience/training 12+ years of experience in IT Architecture including time in senior Architecture roles Preferred Qualifications- Education & Prior Job Experience Master's degree in Computer Science, Computer Engineering, Technology, Information Systems (CIS/MIS), Engineering or related technical discipline, or equivalent experience/training Airline Industry leadership experience Skills, Licenses & Certifications Expertise with the Azure Technology stack for data management, data ingestion, capture, processing, curation and creating Deep knowledge of enterprise architecture, cloud computing, software development, and IT infrastructure. Strong leadership skills to guide and inspire a team of engineers. Strong knowledge of emerging technologies like Al, machine learning, and cybersecurity. Excellent verbal and written communication skills to interact with stakeholders at all levels. Ability to align architectural solutions with business strategies and goals. Expertise in enterprise observability platforms, event management, telemetry strategy, and operational analytics. Strong understanding of IT Service Management (ITSM), resiliency engineering, incident management, and service reliability practices. What you'll get Feel free to take advantage of all that American Airlines has to offer: Travel Perks: Ready to explore the world? You, your family and your friends can reach 365 destinations on more than 6,800 daily flights across our global network. Health Benefits: On day one, you'll have access to your health, dental, prescription and vision benefits to help you stay well. And that's just the start, we also offer virtual doctor visits, flexible spending accounts and more. Wellness Programs: We want you to be the best version of yourself - that's why our wellness programs provide you with all the right tools, resources and support you need. 401(k) Program: Available upon hire and, depending on the workgroup, employer contributions to your 401(k) program are available after one year. Additional Benefits: Other great benefits include our Employee Assistance Program, pet insurance and discounts on hotels, cars, cruises and more Feel free to be yourself at American From the team members we hire to the customers we serve, inclusion and diversity are the foundation of the dynamic workforce at American Airlines. Our 20+ Team Member Business Resource Groups are focused on connecting our team members to our customers, suppliers, communities and shareholders, helping team members reach their full potential and creating an inclusive work environment to meet and exceed the needs of our diverse world. Are you ready to feel a tremendous sense of pride and satisfaction as you do your part to keep the largest airline in the world running smoothly as we care for people on life's journey? Feel free to be yourself at American.

Job Title: Senior Business Analyst - Utilities FSM / ERP Implementations (Multiple positions available) Company: Celerity Consulting Group Location: Remote (work from home eligible) with the ability to travel for client meetings and workshops Salary: $100,000 - $120,000 annually DOE Company Overview: Celerity is a consulting firm specializing in the utilities and energy sectors. We empower organizations by converting complex data into actionable intelligence to mitigate risk, optimize assets, and maximize project outcomes. Our background and expertise enable us to drive and deliver transformation and operational excellence for our clients. Our background and expertise also enable us to implement enterprise systems & solutions, driving digital transformation and operational excellence for our clients. Position Overview: We are seeking a Senior Business Analyst with over 8 years of experience in implementing projects for enterprise systems (ERPs, CRMs, FSM, etc.) and a strong background in the utilities/energy/telecom industries. The ideal candidate will play a pivotal role in analyzing client business processes, identifying requirements, and implementing solutions to enhance operational efficiency. Key Responsibilities: Requirements Gathering and Analysis: Engage with clients to understand and document their business processes, needs, and objectives related to field service operations. Analyze and translate business requirements into functional specifications for enterprise solutions. Conduct gap analyses to identify areas where current systems fall short of client needs. Solution Design and Implementation: Collaborate with technical teams to design solutions that align with client requirements and industry best practices. Assist in configuring and customizing tools to meet specific client needs. Develop and execute test plans to ensure solutions meet specified requirements and quality standards. Stakeholder Communication and Management: Serve as a liaison between clients, project managers, and technical teams to ensure clear communication and alignment throughout the project lifecycle. Facilitate workshops and meetings to gather requirements, present solutions, and obtain stakeholder buy-in. Prepare and deliver presentations and reports to clients and internal stakeholders. Process Improvement and Optimization: Identify opportunities to enhance client business processes through the effective use of FSM solutions. Recommend best practices and innovative solutions to improve field service operations and efficiency. Monitor solution performance and suggest enhancements based on data analysis and client feedback. Testing Hands on experience writing detailed user stories, test cases and executing tests. Should have an eye for details and be familiar with arduous test cases. Experience logging, tracking, prioritizing and validating defects. Experience guiding new users through individual and collaborative UAT sessions. Should be familiar with navigating difficult conversations with users when bugs are uncovered or business needs are deprioritized for the scope of the project. Training and Support: Develop training materials and conduct training sessions for clients to ensure successful adoption of enterprise solutions. Provide ongoing support to clients' post-implementation to address issues and optimize solution usage Educational Qualifications: Bachelor's degree in Business Administration, Information Technology, Engineering, or a related field required. Advanced degree (MBA or Master's) is preferred. Required Skills and Experience: Minimum of 7 years of experience as a Business Analyst, with a focus on Enterprise Field Service Management and mobile workforce solutions. Demonstrated experience in requirements gathering, process analysis, and solution implementation. Hands-on experience with SQL to access, retrieve, manipulate, and analyze data. Hands-on experience with Jira, Confluence, MS SharePoint, Process design tools (Vizio, Signavio, etc.) and similar PMO tools. Strong understanding of utility operations, asset management, and field service management (REQUIRED) Excellent analytical and problem-solving skills, with the ability to think critically and propose effective solutions. Exceptional communication and interpersonal skills, with the ability to engage effectively with clients and stakeholders at all levels. Strong project management skills, with the ability to manage multiple priorities and meet deadlines. Familiarity with business integration requirements across technology stack (ERP, CRM, CIS, BI, Datawarehouse, etc.) Ability to travel to client sites (domestic and(or) international) as required and defined per project requirements. Preferred Skills: Consulting background with experience in client-facing roles and managing stakeholder relationships. Proficiency in using FSM software platforms a plus. Familiarity with GIS integration and mobile workforce management solutions. Knowledge of emerging technologies such as IoT, AI, and Machine Learning as they apply to Field Service Management. Professional certifications related to Business Analysis (e.g., CBAP) or Project Management (e.g., PMP). The salary range for this position is provided in good faith and is subject to variation based on geographic location, candidate experience, and market conditions. Final compensation will be determined after a comprehensive evaluation of the candidate's qualifications and alignment with the role. In accordance with applicable pay transparency laws-including but not limited to those in California, Colorado, New York, Washington, and other jurisdictions-we disclose salary ranges to promote equity and transparency. Where required by law, compensation and benefits information will be included in job postings or made available upon request. This job description outlines the primary responsibilities and standards of the position but is not exhaustive. Employees may be asked to perform additional duties that are reasonably related to their role and consistent with company policies and applicable labor laws. Employee welfare and development is important to us, and we sponsor many activities outside of work to promote team building as well as sponsor formal training and certification. We are proud to offer a comprehensive health and welfare benefit package that includes: HEALTH & WELL-BEING Medical Insurance Dental Insurance Vision Insurance PEACE OF MIND Disability Insurance (STD/LTD) Flexible Spending Account Health Savings Account Basic Life/AD&D 401(k) plan WORK/LIFE BALANCE Paid Time Off Company Holidays Leave of Absence Remote work and Flexible Work Schedules (for qualified positions) ADDITIONAL PERKS Employee Referral Program Professional Development Charitable Contribution Match Based in Walnut Creek, CA with offices nationwide, Celerity energy engineers perform a critical, leadership role as strategic liaisons between data, assets and the teams that make projects happen in the field. See full details and meet our leadership team on our website: Celerity is an Equal Employment Opportunity (EEO) employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or veterans' status or other status protected by applicable law. Pursuant to the Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records. This position is open to individuals who are currently authorized to work in the United States on a full-time basis. Unfortunately, we are unable to sponsor or assume sponsorship of employment visas at this time. Powered by JazzHR Compensation details: 00 Yearly Salary PI655153e9b5-

Our vision is to transform how the world uses information to enrich life for all . Micron Technology is a world leader in innovating memory and storage solutions that accelerate the transformation of information into intelligence, inspiring the world to learn, communicate and advance faster than ever. Summary The O&M Gas Systems Engineer supports the safe, reliable, and efficient operation of bulk and specialty gas delivery systems that enable semiconductor manufacturing. This role partners with Operations, Maintenance, Manufacturing, Safety, and Engineering teams to improve system reliability, troubleshoot complex equipment issues, drive continuous improvement initiatives, and support capital and operational projects while ensuring compliance with environmental, health, safety, and quality standards. The engineer leverages data analytics, AI-enabled tools, and digital technologies to enhance decision-making, optimize system performance, and improve operational efficiency. Responsibilities Support the operation, maintenance, and continuous improvement of bulk and specialty gas systems to ensure safe and reliable semiconductor manufacturing operations. Analyze system performance data, identify improvement opportunities, troubleshoot equipment issues, and lead root cause investigations to improve reliability and reduce risk. Utilize AI, machine learning, and advanced analytics tools to identify trends, predict equipment failures, optimize maintenance strategies, and enhance operational performance. Develop and implement digital solutions, dashboards, automated reporting, and data visualization tools that improve engineering efficiency and decision-making. Ensure compliance with Micron safety, environmental, quality, and change management requirements while promoting a strong safety culture. Partner with Operations, Maintenance, Manufacturing, and other stakeholders to resolve system issues, improve equipment performance, and support production goals. Lead and support engineering projects including equipment upgrades, new installations, commissioning activities, and reliability improvements. Develop and maintain engineering documentation, design standards, procedures, specifications, and preventive maintenance strategies. Utilize engineering principles, TPM methodologies, and data-driven insights to drive cost savings, efficiency improvements, and operational excellence. Provide technical guidance and support to cross-functional teams while effectively communicating project status, risks, recommendations, and data-driven conclusions. Minimum Qualifications Bachelor's degree in Engineering, Chemistry, Semiconductor Technology, or a related technical field, or equivalent combination of education and experience. Strong analytical and troubleshooting skills with the ability to identify root causes and implement effective corrective actions. Ability to work effectively in a cross-functional team environment and communicate technical information clearly to diverse audiences. Experience using engineering data, schematics, technical documentation, and standard problem-solving methodologies. Familiarity with data analytics, AI-assisted tools, or digital technologies used to support engineering, maintenance, or operational decision-making. Demonstrated commitment to safety, quality, and continuous improvement. Preferred Qualifications Experience supporting industrial utility systems, gas delivery systems, semiconductor facilities, or related manufacturing environments. Knowledge of high-purity gas systems, instrumentation and controls, mechanical systems, and reliability engineering principles. Experience applying AI, machine learning, predictive analytics, or digital engineering tools to improve equipment reliability, maintenance effectiveness, or operational performance. Experience leading projects, coordinating cross-functional teams, and managing multiple priorities simultaneously. Familiarity with TPM, FMEA, root cause analysis, risk assessment, and continuous improvement methodologies. Experience developing automated workflows, dashboards, reporting systems, or engineering solutions using tools such as Microsoft Copilot, Power BI, Power Automate, Python, SQL, CMMS, SAP, Maximo, or similar platforms. Experience using AI-assisted productivity and engineering tools to improve technical documentation, data analysis, troubleshooting, and operational decision-making. As a world leader in the semiconductor industry, Micron is dedicated to your personal wellbeing and professional growth. Micron benefits are designed to help you stay well, provide peace of mind and help you prepare for the future. We offer a choice of medical, dental and vision plans in all locations enabling team members to select the plans that best meet their family healthcare needs and budget. Micron also provides benefit programs that help protect your income if you are unable to work due to illness or injury, and paid family leave. Additionally, Micron benefits include a robust paid time-off program and paid holidays. For additional information regarding the Benefit programs available, please see the Benefits Guide posted on . Micron is proud to be an equal opportunity workplace and is an affirmative action employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, age, national origin, citizenship status, disability, protected veteran status, gender identity or any other factor protected by applicable federal, state, or local laws. To learn about your right to work click here. To learn more about Micron, please visit For US Sites Only: To request assistance with the application process and/or for reasonable accommodations, please contact Micron's People Organization at or 1- (select option ) Micron Prohibits the use of child labor and complies with all applicable laws, rules, regulations, and other international and industry labor standards. Micron does not charge candidates any recruitment fees or unlawfully collect any other payment from candidates as consideration for their employment with Micron. AI alert: Candidates are encouraged to use AI tools to enhance their resume and/or application materials. However, all information provided must be accurate and reflect the candidate's true skills and experiences. Misuse of AI to fabricate or misrepresent qualifications will result in immediate disqualification. Fraud alert: Micron advises job seekers to be cautious of unsolicited job offers and to verify the authenticity of any communication claiming to be from Micron by checking the official Micron careers website in the About Micron Technology, Inc.

LevelTen Energy seeks a Senior AI Enablement Specialist to accelerate clean energy adoption by embedding AI across our renewable energy marketplace. In this role, you will partner with product, data, and engineering teams to design and deploy AI and ML solutions that improve forecasting, pricing, and transaction efficiency. You will evaluate tools, build prototypes, and scale models into production while defining AI best practices, governance, and responsible use. You'll also enable non-technical teams through training and self-service capabilities, helping them leverage data-driven insights to drive climate impact. Responsibilities Lead AI enablement initiatives to optimize renewable energy marketplace products and operations Partner with product, data, and engineering teams to design and implement AI/ML solutions that improve forecasting, matching, and pricing Translate business needs into AI use cases, requirements, and roadmaps aligned with clean energy goals Evaluate, select, and integrate AI tools, platforms, and models into Level Ten's technology stack Develop prototypes, proof-of-concepts, and scalable AI solutions using modern ML and generative AI techniques Establish best practices, governance, and ethical guidelines for AI usage across the organization Analyze marketplace and operational data to generate insights and recommendations for stakeholders Enable non-technical teams through training, documentation, and self-service AI capabilities Collaborate with customers and partners to understand AI-driven product needs and opportunities Monitor AI solution performance and continuously iterate to improve accuracy, reliability, and business impact Required Skills Machine learning model development Applied generative AI (LLMs, embeddings) Python programming SQL and data querying Cloud platforms (AWS, Azure, or GCP) MLOps and model deployment Data engineering and pipelines Product requirements and roadmap definition Data analysis and visualization AI governance and responsible AI frameworks

CAD/CAM Programmer (CNC Plasma) Equipment & Assembly Plant Pittsburgh, PA At Calgon Carbon, A Kuraray Company, you'll do more than program machines-you'll help manufacture equipment that supports cleaner air and cleaner water around the world. Join a global leader in environmental solutions where innovation, teamwork, and continuous improvement are part of everything we do. Whether you're an experienced CNC programmer or have a background in AutoCAD, drafting, or manufacturing and are looking to grow your career, we'd love to hear from you. Why Join Calgon Carbon? Comprehensive Benefits Medical, Dental, Vision & Prescription Coverage Health Savings Account (HSA) 401(k) with Generous Company Match Company Incentive/Bonus Programs Tuition Reimbursement Work-Life Balance Monday-Friday Schedule 7:30 AM - 4:00 PM 40-hour work week Paid Time Off starting at 3 weeks Career Growth Ongoing learning and development opportunities Stable, growing global organization Opportunities to expand your technical skills and manufacturing knowledge What You'll Do As a CAD/CAM Programmer, you'll play an important role in supporting our fabrication team by creating CNC programs and nesting layouts that maximize material utilization and keep production moving efficiently. Responsibilities include: Create CNC programs for plasma cutting equipment using AutoCAD and nesting software. Develop daily nesting plans that maximize material usage and minimize scrap. Generate CNC files for plasma cutting, plate rolling, and press brake operations. Read and interpret engineering drawings and fabrication prints. Monitor and manage drop material inventory to improve material utilization. Perform cycle counts and compare physical inventory to SAP inventory records. Collaborate with fabrication and production teams to ensure work is prioritized and machines remain productive. Support continuous improvement initiatives focused on efficiency, quality, and waste reduction. What We're Looking For Required Qualifications High School Diploma or GED. Approximately 1+ year of experience in drafting, CAD, CNC programming, manufacturing, or a related technical field. Experience using AutoCAD 2D or similar CAD software. Ability to read and interpret mechanical drawings and blueprints. Familiarity with DXF, DWG, and other engineering file formats. Strong attention to detail and organizational skills. Basic Microsoft Excel skills. Preferred Qualifications Associate degree or technical degree in Drafting, CAD, Manufacturing Technology, or a related discipline. Experience with CAD/CAM or nesting software. Experience programming CNC plasma tables, laser cutting equipment, press brakes, or similar fabrication equipment. Experience with SAP or another ERP system. Experience working in a fabrication or manufacturing environment. Why Calgon Carbon? For more than 80 years, Calgon Carbon has been an industry leader in developing innovative solutions that protect the world's air and water. Today, our products support more than 700 applications worldwide, and our employees continue to drive innovation across our global manufacturing and technology operations. Headquartered in Pittsburgh, Pennsylvania, Calgon Carbon operates 20 facilities worldwide and employs approximately 1,685 professionals. As part of the Kuraray Group, we combine global resources with a collaborative culture committed to quality, innovation, and sustainability. If you're looking for a career where your technical skills make a real impact, we'd love to hear from you. Calgon Carbon is an Equal Opportunity Employer, including disabled/veterans PI7e311933be18-3242

Job Description Job Description Job Description ACTIVE SECURITY CLEARANCE AT THE TS/SCI POLYGRAPH LEVEL IS REQUIRED Are you a powerhouse data scientist who thrives on solving large-scale operational challenges? Bring your 10+ years of advanced expertise to architect predictive models, run complex simulations, and drive multi-objective decision frameworks using Pandas, R, Python, or MATLAB. Translate intricate machine learning and statistical data analytics into clear strategic narratives for high-level stakeholders! In this role, you will lead the charge in defining complex problems, gathering critical stakeholder requirements, and applying advanced mathematical techniques to guide critical decision-making. If you are ready to transform large-scale operational challenges into optimized mission solutions alongside a team that values engineering excellence, let's achieve more together! The annual base salary range for this role is $200,000-$237,000 (USD) , which does not include discretionary bonus compensation or our comprehensive benefits package. Actual compensation offered to the successful candidate may vary from posted hiring range based upon geographic location, work experience, education, and/or skill level, among other things. , Required Skills Core Experience: 10+ years of professional experience analyzing complex management and operational problems using advanced operations research techniques. Modeling Simulation: 4+ years of hands-on experience applying modeling and simulation frameworks to address high-level decision analysis problems. Strategic Analysis: 4+ years of experience conducting multi-objective decision analysis or cost-benefit analysis in direct support of research objectives. Data Toolset Toolkits: 4+ years of deep expertise using tools and libraries such as Pandas, R, Excel/VBA, Arena, Octave, Tableau, Gurobi, CPLEX, ExtendSim, SAS, Netica, Statsmodels, Stata, MATLAB, or SPSS. Stakeholder Engagement: Proven experience conducting problem definitions and gathering detailed data requirements directly from stakeholders. Communication: Outstanding oral and written communication skills with a track record of explaining intricate data analysis to non-technical stakeholders. Education: 10 years of experience with a technical bachelor's degree, 14+ years of experience without a techncial bachelor's degree. , Desired Skills Model Validation: Experience developing and performing rigorous verification and validation (VV) of models to ensure adequacy and performance. Knowledge Sharing: Experience developing and delivering comprehensive training materials for operations research techniques. Executive Briefing: Experience briefing high-level results and preparing thorough written reports on analytic approaches and methodologies. Emerging Tech: Familiarity or experience with machine learning and large language models (LLMs) to solve complex enterprise problems. , About Nyla Technology Solutions Nyla Technology Solutions delivers exceptional Artificial Intelligence (AI), Data Science, and Software Engineering services for the U.S. Government. Nyla embraces a forward-thinking and bold approach at every turn, earning us a solid reputation of technical trendsetters within the industry. We have a passion for developing solutions that have a quick and immediate impact on mission. Headquartered in Columbia, Maryland, our customers love how we tackle their most challenging problems and get things done. If you have the unique experience and expertise we are seeking, along with the desire and determination to invest your time and energy as a part of Nyla's team, Taking Care of All of You Nyla provides a top-of-market compensation and benefits package. And through our unique Nyla FLEX program, we custom tailor these benefits to best fit your lifestyle. The Nyla FLEX benefit program is designed to offer you flexibility in the 3 biggest areas of your life: your pay, your leave, and your schedule. PAY - Nyla starts with 4 weeks of Annual Leave plus 11 holidays and an additional day of Annual Leave for each year you're at the company. You have the flexibility to cash out your annual leave hours, opt out of other Nyla benefits, and/or arrange for additional hours on contract (over 40 hrs/week). There's even an option to earn 1.3 times your hourly rate once you work over 1880 hours on contract! LEAVE - Want to spend more time with the family? Want more time to travel the world? You can BUY additional annual leave for a total of 6 weeks of annual leave. That's up to 240 hours of leave plus 11 holidays! That's not even including paid anniversary leave! SCHEDULE - Does the traditional 40-hour workweek no longer fit your lifestyle? With Nyla FLEX, you have the freedom to scale down to 30-32 hours while still enjoying the top-notch Nyla benefits you know and love. It's flexibility that works for you without compromising the perks! WHAT ABOUT OTHER BENEFITS? Nyla's health care (medical, dental, and vision) is 100% covered by the company. We provide 10% 401k matching - with full vesting day 1! Our Professional Development offers $5,000 per year to be used towards fees, tuition, or time off for your continued growth. We even have a student loan repayment program and we provide 8 hours of volunteering annually so you can support your community, making your world a better place. To learn more about Nyla's culture and our exceptional benefit packages click here. Nyla is an equal opportunity employer.

Job Description Job Description Join Our TeamDevis is a leading provider of innovative software development, management, and consulting services, specializing in cutting-edge technologies such as DevSecOps, AI, and Machine Learning. With over 30 years of experience, we have established ourselves as a trusted partner for government agencies, delivering tailored, mission-critical solutions that drive digital transformation and operational excellence. Our client-centric approach, coupled with our deep domain expertise and technical prowess, enables us to forge enduring relationships and consistently deliver high-impact, adaptive solutions that resonate with the unique needs of the public sector.The RoleThis is the second audiovisual and video teleconferencing seat on the helpdesk team supporting a federal agency, working alongside the senior specialist, the production engineer, and a part-time event coordinator to keep conference rooms, executive meetings, and live events running. The role is hands-on: a mix of scheduled event support, walk-up troubleshooting, and preventive maintenance. The agency runs Microsoft Teams, Zoom, Webex, Google Meet, and Slack for video conferencing and collaboration, with Cisco and Poly platforms in its conference and AV rooms. Headquarters is in Washington, DC, with 53 field offices nationwide; about 2,100 people rely on these systems.What You'll Do Configure, operate, and troubleshoot AV equipment across conference rooms and event spaces: mixers, DSPs, control systems, projection, and LED displays Schedule, set up, and manage Teams, Zoom, Webex, and Poly RealPresence sessions, including webinars and breakout rooms, and resolve connectivity and interoperability issues Assist with setup, execution, and post-event work for town halls, executive meetings, training sessions, webcasts, and conferences, operating production equipment under the direction of the production engineer or event coordinator Support recording, streaming, public address, public displays, and captioning during events Work the AV/VTC service desk alongside the senior specialist: receive, document, and resolve trouble tickets from staff at any agency location, escalating what you cannot close Perform preventive maintenance, firmware updates, and inspections, and keep inventory records current Help end users get comfortable with conference room technology What You'll Need Six years supporting enterprise AV and VTC operations at comparable scale (the agency runs about 2,100 users across headquarters and 53 field offices) Hands-on experience operating conference room AV and video teleconferencing systems Experience supporting live meetings and events in a professional or government setting Comfort diagnosing codec, connectivity, and hardware issues under time pressure Nice to Have AVIXA CTS certification Prior support to a federal agency AV-over-IP experience Experience delivering end user training on conference room technology Section 508 accessibility experience, particularly captioning ITIL v4 Foundations and experience with Zendesk or a comparable ticketing platform Location, Schedule, and Logistics Standard schedule is an eight-hour day scheduled between 7:00 a.m. and 7:00 p.m. Eastern, Monday through Friday, excluding federal holidays. Occasional weekend work may come up with advance government approval. Live events sometimes land at the edges of the 7:00 a.m. to 7:00 p.m. window, so expect early starts or late wraps around major events. On-site at agency headquarters in Washington, DC (NoMa area, Metro-accessible). Telework is by exception only and requires government approval. You will work on a government-furnished laptop. Personal devices cannot connect to the agency network. At least 40 hours per year of paid professional training in your core skill areas, at no cost to you. Occasional travel to agency field offices, event sites, and official events held away from headquarters, reimbursed at federal travel rates. Devis is an AA/EOE/M/F/Disabled/VET Employer committed to providing equal employment opportunity without regard to an individual's race, color, religion, age, gender, sexual orientation, veteran status, national origin or disability. Powered by JazzHR C15oYRmRPm

Job Description Job Description Job Description Principal Machine Learning Engineer, Artificial Intelligence (AI) Required, Work From Home As a Principal Machine Learning Engineer, you are a deep technical authority responsible for designing and evolving the most critical ML systems in the company. The Principal Machine Learning Engineer will operate across training, inference, evaluation, and infrastructure, solving the hardest architectural and performance problems. While Technical Leads may own execution at the team level, you set the technical standard and shape how ML systems are built across the organization. This is a hands-on, high-impact role focused on depth. This position is 100% Remote. Principal Machine Learning Engineer Responsibilities: - Architect and build large-scale ML systems spanning data, training, evaluation, inference, and deployment. - Design reproducible, high-performance training pipelines across GPU infrastructure. - Architect inference systems that balance latency, throughput, cost, and reliability at scale. - Design and maintain data systems for high-quality synthetic and real-world training data. - Implement evaluation pipelines covering performance, robustness, safety, and bias, in partnership with research leadership. - Own production deployment, including GPU optimization, memory efficiency, latency reduction, and scaling policies. - Collaborate closely with application engineering to integrate ML systems cleanly into backend, mobile, and desktop products. - Make pragmatic trade-offs and ship improvements quickly, learning from real usage. - Work under real production constraints: latency, cost, reliability, and safety Principal Machine Learning Engineer Outcomes: - ML systems (training, inference, evaluation) are reliable, scalable, and meet defined performance targets. - Models deployed to production achieve measurable quality improvements and meet user-impact goals. - Production issues are proactively monitored, debugged, and resolved with clear root-cause analysis. - Team and cross-functional collaborators benefit from clear guidance, best practices, and scalable ML solutions. - Research-to-production cycles are efficient, safe, and continuously improve the product experience. Qualifications Principal Machine Learning Engineer Qualifications: - Strong background in deep learning and transformer-based architectures. - Artificial Intelligence (AI) experience required. - Hands-on experience training, fine-tuning, or deploying large-scale ML models in production. - Proficiency with at least one modern ML framework (e.g. PyTorch, JAX), and ability to learn others quickly. - Experience with distributed training and inference frameworks (e.g. DeepSpeed, FSDP, Megatron, ZeRO, Ray). - Strong software engineering fundamentals; you write robust, maintainable, production-grade systems. - Experience with GPU optimization, including memory efficiency, quantization, and mixed precision. - Comfort owning ambiguous, zero-to-one ML systems end-to-end. - A bias toward shipping, learning fast, and improving systems through iteration. - Experience with LLM inference frameworks such as vLLM, TensorRT-LLM, or FasterTransformer. - Contributions to open-source ML or systems libraries. - Background in scientific computing, compilers, or GPU kernels. - Experience with RLHF pipelines (PPO, DPO, ORPO). - Experience training or deploying multimodal or diffusion models. - Experience with large-scale data processing (Apache Arrow, Spark, Ray). Benefits include medical insurance, Dental, Vision, Savings Plan Options, PTO, etc. Looking to hire a Principal Machine Learning Engineer in San Francisco, CA or in other cities? Our IT recruiting agencies and staffing companies can help. We help companies that are looking to hire Principal Machine Learning Engineers for jobs in San Francisco, California and in other cities too. Please contact our IT recruiting agencies and IT staffing companies today! Additional Information Please check out all of our jobs at .

Job Description Job Description Description: Agile Space Industries is a rapidly growing supplier of propulsion hardware and engineering services for the space industry. Headquartered in Durango, Colorado, with expanding operations in and Tulsa, Oklahoma, and upcoming growth in Seattle, Washington, Agile has achieved more than 40% year-over-year growth for the past three years, and our momentum continues to accelerate. At Agile, we design, build, and test in-space propulsion systems that give spacecraft the ability to maneuver with precision, reliability, and purpose. Our technologies play a critical role in missions that range from lunar landings and resource utilization to national defense, human exploration, and commercial space transport. We are seeking bold and driven individuals who thrive in a hands-on, fast-moving environment and want to help write the next chapter of space history as part of a close-knit, innovative team. You will take on a demanding and rewarding role at Agile, directly shaping the future of in-space propulsion. As an integral contributor during our growth stage, you will be eligible to participate in our stock option plan, giving you the opportunity to share in the long-term value you help create. All stock grants are subject to executive review and approval in accordance with the Company's equity plan. This is an onsite role based in Durango, Colorado. Durango offers a rare combination of meaningful aerospace work and exceptional quality of life, with access to world-class skiing, mountain biking, hiking, fishing, rafting, and a vibrant mountain-town community. Relocation assistance is available for qualified candidates. Agile Space Industries is seeking an experienced and hands-on Additive Manufacturing (AM) Operations Lead onsite in Durango, CO to lead our additive operations, build scalable processes, and partner closely with Engineering, Production, Materials, and Quality to deliver high-performance printed components for space flight hardware and R&D programs. The AM Operations Manager is responsible for operational execution, technical leadership, team development, and continuous improvement across Agile's LPBF production ecosystem. This leader will oversee AM equipment, people, workflows, documentation, and quality standards supporting propulsion hardware across the full lifecycle: prototype, test, qualification, and production. The AM Operations Manager will also be core cross-function leader, partnering closely with Engineering, Production, Materials, and Quality to deliver high-performance printed components for space flight hardware and R&D programs. This role requires strong technical depth, a continuous-improvement mindset, and the ability to lead in a fast-paced aerospace environment where precision, reliability, and schedule discipline are essential. Responsibilities Additive Manufacturing Operations Own day-to-day operations of the LPBF production floor, ensuring safe, efficient, and reliable execution. Manage production schedules across prototype, development, qualification, and production programs in coordination with other Agile departments. Oversee machine setup, build execution, powder handling, and post-processing workflows. Ensure repeatable, high-quality production of printed propulsion components. Maintain spare parts, consumables, gas supply, and other inventory critical to production. Drive equipment uptime, preventative maintenance, and facility readiness to support throughput growth. Establish, track, and continuously improve operational KPIs (yield, throughput, cycle time, scrap, machine utilization). Technical Leadership Partner with Design Engineering during DfAM reviews to align geometry, support strategies, and material selection with LPBF capabilities. Facilitate AM process development, including control of AM process parameters, scan strategies, thermal histories, and build envelopes. Lead root cause analysis for print failures and drive corrective actions Maintain configuration control of build files, machine settings, and AM processes. Oversee integration of downstream processes including heat treatment, HIP, machining, and inspection. Define and document AM processes in accordance with aerospace and internal quality standards People Leadership Mentor AM technicians, operators, and engineers with emphasis on safety, technical rigor, and continuous learning. Establish onboarding pathways, technical certification levels, and recurring training cycles for AM roles. Allocate resources effectively across shifts and programs, adjusting team responsibilities based on skills, priorities, and workload. Cultivate a culture of accountability, ownership, and disciplined execution. Quality & Compliance Partner with Quality Engineering to define critical-to-quality features, inspection protocols, sampling plans, and acceptance criteria. Ensure compliance with ITAR, AS9100, and internal configuration-control and document-control requirements. Maintain full material and process traceability (powder lots, build files, inspection records, heat treat/HIP records, and rework history). Support internal and external audits, customer reviews, and supplier assessments. Ensure build and post-processing travelers are fully executed, documented, and closed out accurately. Strategic & Cross-Functional Support Evaluate and select emerging AM technologies, materials, sensing systems, and post-processing techniques. Support make-buy decisions, including technical evaluation of external Requirements: 7+ years of experience in manufacturing, including 2+ years of manufacturing management, with preference for metal additive manufacturing and hands-on machine operation Demonstrated experience with aerospace or highly regulated production environments Strong knowledge of metal LPBF processes and materials commonly employed in metal AM technologies such as Inconel, Titanium, or Copper alloys Proven experience optimizing manufacturing flow, leading root cause analysis, and developing repeatable manufacturing processes Leadership experience managing technical teams in a prototyping or production setting Ability to interpret engineering drawings, GD&T, and specifications Preferred Qualifications Bachelor's degree in Mechanical Engineering, Materials Science, Manufacturing Engineering, or related discipline Experience producing flight hardware or propulsion components Background with EOS, SLM Solutions, VELO3D, TRUMPF, or similar LPBF platforms. Knowledge of heat treatment, HIP, machining, and NDE for AM components Experience standing up new AM facilities, bringing in new equipment, or scaling production Familiarity with ERP/MRP systems and manufacturing documentation best practices. Physical Requirements: Prolonged periods of sitting at a desk and working on a computer Employment Type: Exempt Salary: $120,000 - $162,000 Final compensation will be based on factors such as experience, skills, and internal equity, and is typically made within the midrange, rather than the upper end. Work Schedule: Full Time Travel Requirements: Relocation Stipend Location: Durango, CO Posting Timeline: This position will remain open for a minimum of five (5) days and will continue to accept applications until the role is filled. Early applications are encouraged, as reviews and interviews may begin during the posting period. What You'll Love About Us: Agile Space Industries offers exceptional benefits to support you and your family including generous health coverage, dental and vision plans, Flexible Time Off, parental leave, and a 401(k) with 100% company match up to 4%. We are committed to creating a diverse work environment and proud to be an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, veteran status, or any other basis protected by law. Disclaimer: Agile is proud to offer a competitive benefits package to support our team members as they take on challenging, mission-driven work. The benefits listed in this job description are applicable to full-time employees. Part-time, temporary, or other non-full-time employees may have different benefit eligibility in accordance with company policy and applicable plan terms. Don't meet every single requirement? At Agile, we are committed to fostering a diverse, inclusive, and authentic workplace. If you're excited about this role but your experience doesn't perfectly align with every qualification, we encourage you to apply anyway. You might be the perfect fit for this role or another opportunity with us. Reasonable Accommodation: At Agile, our goal is to create an accessible and inclusive experience for all candidates applying and interviewing at Agile Space Industries. If you need a reasonable accommodation during the application or the recruiting process, please submit a request to . Recruitment Notice: Agile Space Industries is not partnering with external recruiters or agencies at this time. Please do not contact our staff directly regarding open positions . click apply for full job details

Job Description Job Description Our mission is to create the Experience of a Lifetime for our employees, so they can, in turn, create the Experience of a Lifetime for our guests. We own and operate the most renowned destination resorts in the world as well as regional and local ski areas outside major cities, and connect them all through one unrivaled network. We are looking for ambitious leaders, innovators and creators to join our talented team. If you're ready to pursue your fullest potential, we want to get to know you! Candidates for year-round positions are reviewed on a rolling basis. Applications will be accepted up to 90 days after the posting date, or until the position is filled (whichever is first). Job Summary: We are looking for a curious, driven, innovative machine learning engineer who takes initiative to solve problems and create environments that accelerate the development, deployment, and usage of data science models and AI to drive greater organizational impact. The Data Science & Data Engineering team within the Enterprise Analytics organization builds data assets, predictive models, analytical applications, and platforms across the organization. Our team collaborates with business stakeholders, analysts, and technology teams to tackle high-impact use cases with state-of-the-art models and tools to grow the business, streamline costs, and improve guest experiences. Job Specifications: Starting Wage: $140,000 - $185,000 + Annual Bonus Employment Type: Year Round Shift Type: Full Time hours Minimum Age: At least 18 years of age Housing Availability: No Job Responsibilities: Productionize ML models developed by data science into reliable, monitored, maintainable systems. Build model data foundations that ensure training, inference, monitoring, and analytics data are trustworthy and scalable. Architect ML platform patterns in Databricks that bring reliability, consistency, governance, performance, and cost discipline to ML and data workflows. Identify and scope opportunities for ML engineering across the business for high-impact. Develop reusable tools , libraries, standards, documentation, and production-readiness practices to enable data science and data engineering teams. Develop analytical and model-powered applications that turn data and ML outputs into usable business workflows for end users. Prepare the platform for future AI engineering , including LLM and agent-based systems, as the organization matures. Provide technical leadership and mentoring across engineering, architecture, and development including design and code reviews. Job Requirements: Technical Skills: Quantitative Foundation : B.S. degree in a quantitative field (e.g., Computer Science, Mathematics, Statistics, Economics, Operations Research, Engineering). Software Engineering Fundamentals: write clean, modular, testable, maintainable code and understand how to structure production-grade systems rather than one-off notebooks or scripts. Python and SQL Proficiency: strong in Python and SQL for building data pipelines, automation, model integrations, analytical workflows, and production services. Data Modeling and Pipeline Design: understand how to design reliable, well-structured data assets, including curated tables, feature datasets, batch pipelines, orchestration, data quality checks, and lineage. ML Lifecycle Fluency: understand the full model lifecycle: data collection, exploration, model development, validation, deployment, monitoring, retraining, and retirement. Production ML Patterns: understand core MLOps patterns such as model registries, feature/data versioning, reproducible environments, testing/validation, monitoring, and rollback. Cloud and Platform Engineering: You are comfortable working in cloud-based data and ML environments and understand the foundations of permissions, environments, jobs, services, storage, networking, and cost-aware architecture. Databricks Expertise : You're familiar and experienced with the core parts of Spark, Unity Catalog, Delta Lake, Databricks Workflows, MLflow, model registry patterns, job/cluster optimization, and governance. DevOps Practices: You use modern engineering practices such as Git, CI/CD, automated testing, code review, dependency management, environment management, and observability. Application Development : You can build applications, APIs, dashboards, or workflow tools that sit on top of data and model outputs. System Design: You can reason through tradeoffs across reliability, latency, scale, cost, governance, maintainability, and ease of use. Soft Skills: Curious : bring intellectual curiosity, an inquisitive nature, and a desire to deepen your knowledge and continue learning. Ownership : take responsibility to proactively advance projects, contribute to the organization, and develop the best solutions. Communication: explain technical concepts, risks, tradeoffs, and recommendations clearly to technical and non-technical audiences. Collaboration: work effectively cross-functionally with data scientists, data engineers, analysts, application engineers, product partners, and business stakeholders. Pragmatism : You know how to balance ideal architecture with business urgency, team maturity, operational constraints, and the need to ship. Preferred qualifications: A graduate degree (Masters or PhD) in a quantitative field Experience with dbt (Core) for modular data modeling, including testing, documentation, and dependency management Experience with AI engineer to use, build, and monitor agentic solutions The expected Total Compensation for this role is $140,000 - $185,000 + Annual Bonus. Individual compensation decisions are based on a variety of factors. Job Benefits Ski/Mountain Perks! Free passes for employees, employee discounted lift tickets for friends and family AND free ski lessons MORE employee discounts on lodging, food, gear, and mountain shuttles 401(k) Retirement Plan Employee Assistance Program Excellent training and professional development Full Time roles are eligible for the above, plus: Health Insurance; Medical Insurance, Dental Insurance, and Vision Insurance plans (for eligible seasonal employees after working 500 hours) Free ski passes for dependents Critical Illness and Accident plans Employees can work remotely from British Columbia, Washington D.C., and the 16 U.S. states in which we currently operate. This includes: California, Colorado, Indiana, Michigan, Minnesota, Missouri, New Hampshire, New York, Nevada, Ohio, Pennsylvania, Utah, Vermont, Washington State, Wisconsin, and Wyoming. Please note that the ability to work in person or off-site, and the particulars related to such work, are subject to change at any time; and, accordingly, the Company reserves the right to change its policies and/or require in-person/in-office work or off-site work at any time in its sole discretion. In completing this application, and when submitting related documentation, applicants may redact information that identifies their age, date of birth, and/or dates of attendance at or graduation from an educational institution. We follow all federal, state, and local laws including restrictions on child/minor labor. Minors hired into this position will not be asked or permitted to engage in any activities restricted to adult workers. Vail Resorts is an equal opportunity employer. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability, protected veteran status or any other status protected by applicable law. Requisition ID 517322 Reference Date: 09/05/2026 Job Code Function: Data Science

Set and drive strategies to transform operations planning business processes, focusing on schedule reliability, cost reduction and optimization; Influence leaders, squads and peers on strategy, technical feasibilities, DevOps best practices, software performance optimizations, roadmap items, OKRs and upcoming releases; Collaborate with internal teams, and Operations Research, IT and Network Planning teams to build the next generation of planning tools. Plan, organize, and direct the design, development, and implementation of enterprise planning products using cloud technologies, advanced analytics, and efficient workflow design; Design and optimize operational planning processes to improve operational performance; Design experiments, conduct feasibility studies, systems analysis, and technical economic assessments of various schedule constraints and operational standards; Mine, model, analyze, and evaluate operational data to identify root cause factors impacting network reliability; Play a key role in solving complex science problems which contribute to development of network schedules and operations plans; Coordinate process engineering projects across departments. Work closely with cross-functional teams to implement improvements; Contribute to the technical architecture and design of products by collaborating with engineering teams to ensure alignment with enterprise system architecture and cloud best practices; Collaborate with operational planning departments across divisions (Airport planning, Technical Operations/Maintenance, Integrated Operations Center Planning, Crew Planning), Operational leadership, and Network Planning in the development of future schedules and schedule solutions; Utilize technical analytics including A/B testing, product architecture, continuous deployment process, DevOps practices, data models and analytics, querying languages, tools supporting automation/metrics and other technologies in support of improved operational performance; Understand the budgetary implications and related organizational constraints in factoring areas of focus; Practice agility in discovering and delivering value continuously. Work Schedule: 40 hours per week/8 a.m.-5 p.m./M-F. Job Location: Fort Worth, TX Education and Experience Requirements Masters degree in Data Science, Business Analytics, or related field, plus 2 years of experience as Analyst, Product Owner, Specialist, Consultant, or any occupation in which the required experience was gained, and demonstrated experience in: Python Programming; SQL Programming; Airline Operations and Schedule Planning; Airline business model; Machine Learning and statistical Forecast Models for Airlines; Azure Databricks for automating workflows and data pipelines; Azure Data Factory; Azure DevOps; Tableau Dashboards for tracking performance; Test Driven Development; A/B Testing; Software Development; Data Analysis; Data Engineering. Please copy and paste your resume in the email body (do not send attachments, we cannot open them) and email it to candidates at (link removed) with reference in the subject line. Thank you.