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Job description: We are seeking a talented Lead UI Software Developer with a strong foundation in computer science and an eye for thoughtful UI/UX design. You will lead a team of 5 developers and designers. Youll build sophisticated web applications for simulation and optimization software that models complex physical systems . Youll work alongside Research Scientists and Software Engineers on small, highly collaborative teams, contributing throughout the development lifecyclefrom concept and prototyping through visualization, implementation, testing, and deployment. This is an opportunity to work on technically challenging problems where software, science, and design intersect.Team members have broad ownership and the flexibility to apply their strengths while developing new skills. What Youll Do Design and develop modern, responsive front-end web applications using JavaScript/TypeScript and React Create intuitive interfaces for complex scientific and engineering applications Develop data visualizations and interactive tools that help users understand complex models and results Collaborate with software engineers and research scientists to translate technical requirements into effective user experiences Prototype, test, troubleshoot, and optimize applications for performance, security, and usability Contribute across the full software development lifecycle, from early concepts through deployment Required Qualifications Bachelors degree in Computer Science or a related technical field 8+ years of relevant UI software development experience along with leadership Strong experience with JavaScript or TypeScript, React, HTML, and CSS Experience developing front-end web applications Experience with UI/UX design or a strong understanding of user-centered design principles Excellent written and verbal communication skills US CITIZENSHIP Preferred Qualifications Experience with Java or Python Experience with Spring Boot, Redux, WebGL, or OpenGL Experience building interfaces for data-intensive, scientific, or engineering applications Experience with front-end testing and mocking frameworks Understanding of REST APIs, back-end development, and relational or document databases Experience optimizing web applications for performance, responsiveness, and security ACTIVE SECRET OR TOP SECRET CLEARANCE Why This Role If you enjoy solving difficult problems, building polished user experiences, and working alongside people who are pushing the boundaries of science and technology, this role offers the opportunity to have meaningful technical ownership from concept to deployment. Qualifications: What Youll Do Design and develop modern, responsive front-end web applications using JavaScript/TypeScript and React Create intuitive interfaces for complex scientific and engineering applications Develop data visualizations and interactive tools that help users understand complex models and results Collaborate with software engineers and research scientists to translate technical requirements into effective user experiences Prototype, test, troubleshoot, and optimize applications for performance, security, and usability Contribute across the full software development lifecycle, from early concepts through deployment Required Qualifications Bachelors degree in Computer Science or a related technical field 8+ years of relevant UI software development experience along with leadership Strong experience with JavaScript or TypeScript, React, HTML, and CSS Experience developing front-end web applications Experience with UI/UX design or a strong understanding of user-centered design principles Excellent written and verbal communication skills US CITIZENSHIP Preferred Qualifications Experience with Java or Python Experience with Spring Boot, Redux, WebGL, or OpenGL Experience building interfaces for data-intensive, scientific, or engineering applications Experience with front-end testing and mocking frameworks Understanding of REST APIs, back-end development, and relational or document databases Experience optimizing web applications for performance, responsiveness, and security ACTIVE SECRET OR TOP SECRET CLEARANCE Why is This a Great Opportunity: We are seeking a talented Lead UI Software Developer with a strong foundation in computer science and an eye for thoughtful UI/UX design. You will lead a team of 5 developers and designers. Youll build sophisticated web applications for simulation and optimization software that models complex physical systems . Salary Type : Annual Salary Salary Min : $ 150000 Salary Max : $ 175000 Currency Type : USD

At Genmab, we are dedicated to building extra not ordinary futures, together, by developing antibody products and groundbreaking, knock-your-socks-off KYSO antibody medicines that change lives and the future of cancer treatment and serious diseases. We strive to create, champion and maintain a global workplace where individuals' unique contributions are valued and drive innovative solutions to meet the needs of our patients, care partners, families and employees. Our people are compassionate, candid, and purposeful, and our business is innovative and rooted in science. We believe that being proudly authentic and determined to be our best is essential to fulfilling our purpose. Yes, our work is incredibly serious and impactful, but we have big ambitions, bring a ton of care to pursuing them, and have a lot of fun while doing so. Does this inspire you and feel like a fit? Then we would love to have you join us! We are looking for a Senior Data Product Engineer with deep expertise in DBT, Databricks, Snowflake, Power BI/Tableau, Airflow and AWS, who can architect and implement scalable, reliable, and high-performance data products. This role will require strong technical skills across data modeling, distributed data processing, ELT pipeline development, and dashboarding, with an emphasis on automation, observability, and engineering best practices supporting our US and Global commercial data warehouse. You will be expected to design and deliver production-grade data pipelines and models, optimize query, and compute performance, and expose data to end users through well-structured semantic layers and dashboards. The ideal candidate is conceptually strong in modern data architectures and principles, capable of adapting across tools rather than being limited by them and operate as a hands-on technical lead, defining frameworks, making architectural decisions, and guiding implementation patterns across dbt, Snowflake, Databricks and BI platforms. The ideal candidate works successfully across Commercial functions to define, document, test and implement data products delivering functional requirements and impactful data products. The ideal candidate should have familiarity with commercial data sets like IQVIA One Key, Veeva Open Data, Life Science Cloud, Veeva CRM, 3PL data, Claims Data, Digital, Omnichannel and Precision lab data. Work arrangement: This role offers flexibility to work away from the office for 20%-40% of a typical schedule. Employees may use this work schedule in increments of single days or multiple consecutive days, provided it does not exceed 40% within a 60-day period, and is approved by the hiring manager. Core Responsibilities Data Engineering & Architecture Architect and implement end-to-end ELT workflows with DBT (core and Cloud), ensuring modular, testable, and reusable transformations. Build high-performance data pipelines in Snowflake and Databricks (PySpark, Delta Lake, Unity Catalog) for batch and streaming workloads. Orchestration using Apache Airflow and Amazon tools. Engineer scalable data ingestion pipelines into AWS (S3, Kinesis, Glue, Lambda, Step Functions, Airflow) with strong monitoring and fault tolerance. Ensure observability, cost efficiency & scalability in all pipeline and compute designs. Data Modeling, Governance, Security and Compliance Design normalized and star-schema models for analytical workloads, following dbt's best practices and software engineering principles. Implement data quality testing frameworks (dbt tests, Great Expectations, or custom validations) with automated CI/CD integration. Manage data versioning, lineage, and governance through tools such as Unity Catalog and AWS Lake Formation. Ensure data lineage, cataloging, and metadata management are maintained. Apply GDPR, LGPD, and other Data Privacy / Compliance rules and compliance standards. Support audits, documentation, and validation activities. Analytics Enablement & Dashboards Develop semantic data layers that support self-service analytics across BI tools (Tableau, Power BI etc.). Partner with analysts and data scientists to optimize queries and deliver production-ready datasets. Manage ingestion and harmonization of commercial datasets such as: o HCP/HCO master data (IQVIA and Veeva) o Sales and distribution data (852,867, 3PL and Country specific market or sales data) o Omnichannel engagement (email, rep-triggered, web, events) o CRM activity data (Veeva, Life Science Cloud) o Market research and syndicated data (IQVIA, etc.) o Support data pipelines used for incentive compensation, field force effectiveness, and brand performance analytics. Platform Engineering & Automation Automate deployment pipelines with CI/CD (GitHub Actions, GitLab CI, or AWS CodePipeline) for dbt and Databricks. Implement infrastructure-as-code (IaaC) for reproducibility (Terraform, CloudFormation). Ensure system reliability through observability and monitoring (Datadog, CloudWatch, Prometheus, or similar). Benchmark and optimize SQL, Python, Spark, and BI query performance at scale. Collaboration & Stakeholder Support Partner with Data Scientists, Commercial Analysts, and Business Partners to translate business needs into technical solutions. Work closely with IT, Compliance, and Data Privacy teams to ensure complaint data handling. Provide technical guidance on data availability, feasibility, and best practices. Required Qualifications 5+ years in data engineering, analytics engineering, or data platform development. Expert-level proficiency in: o DBT: advanced macros, Jinja, testing, exposures, dbt Cloud deployment. o Databricks: Spark (PySpark, SQL), Delta Lake, Unity Catalog. o Snowflake o AWS: S3, Glue, Lambda, Step Functions, Datasync, EMR, Redshift, IAM and networking/security fundamentals. o Data Visualization: Power BI or Tableau. Strong programming background in Python and SQL (including query optimization). Proven experience with distributed systems and large-scale datasets (GB-TB scale). Experience implementing CI/CD pipelines, data testing, and infrastructure as code. Solid understanding of data governance, security, and compliance in enterprise environments. Why This Role? Working as a Data Engineer in an oncology company means your work directly supports the people who need it most-patients facing one of the most difficult diagnoses of their lives. Every pipeline you build, every dataset you harmonize, and every insight you enable helps accelerate how quickly life changing therapies reach the right patients at the right time. You get to solve challenging engineering problems while contributing to something bigger than technology. You're not just optimizing pipelines-you're helping ensure that a patient gets diagnosed earlier, a doctor receives better information, or a family gains access to a therapy that gives them more time together. You will work at the intersection of modern data engineering and analytics product development, solving challenges of scale, performance, and usability. This role is ideal for someone who thrives in a hands-on engineering environment and wants to build the technical foundation for data-driven decision-making across the organization. For US based candidates, the proposed salary band for this position is as follows: $132,720.00 $199,080.00 The actual salary offer will carefully consider a wide range of factors, including your skills, qualifications, experience, and location. Also, certain positions are eligible for additional forms of compensation, such as discretionary bonuses and long-term incentives. When you join Genmab, you're joining a culture that supports your physical, financial, social, and emotional wellness. Within the first year, regular full-time U.S. employees are eligible for: 401(k) Plan: 100% match on the first 6% of contributions Health Benefits: Two medical plan options (including HDHP with HSA), dental, and vision insurance Voluntary Plans: Critical illness, accident, and hospital indemnity insurance Time Off: Paid vacation, sick leave, holidays, and 12 weeks of discretionary paid parental leave Support Resources: Access to child and adult backup care, family support programs, financial wellness tools, and emotional well-being support Additional Perks: Commuter benefits, tuition reimbursement, and a Lifestyle Spending Account for wellness and personal expenses Further details on eligibility for compensation and benefits based on role will be provided during the recruitment process About Genmab Genmab is an international biotechnology company with a core purpose to improve the lives of patients through innovative and differentiated antibody therapeutics. For 25 years, its hard-working, innovative and collaborative team has invented next-generation antibody technology platforms and harnessed translational, quantitative and data sciences, resulting in a proprietary pipeline including bispecific T-cell engagers, antibody-drug conjugates, next-generation immune checkpoint modulators and effector function-enhanced antibodies. By 2030, Genmab's vision is to transform the lives of people with cancer and other serious diseases with Knock-Your-Socks-Off (KYSO ) antibody medicines. Established in 1999 . click apply for full job details

Job description: We are seeking a talented, tenacious, results driven individual to work in a multi-disciplinary R&D environment with likeminded motivated electrical engineers, mathematicians, and computer scientists who are collectively responsible for creating custom geolocation and digital communications systems in support of national security defense. Core responsibilities include creative problem solving, researching or inventing advanced geolocation algorithms, implementing them in efficient software, testing with real-world data, and deploying to front-line customer facilities. Our dynamic environment and diverse projects demand flexibility to learn new technologies quickly. Our personnel can expect to work across all functional areas: systems engineering, development, integration and test, deployment and O&M. Core responsibilities include: Design/architect, develop, test, deploy, and operate fully integrated software Design, build, and maintain infrastructure for modern integration between our applications and third-party services Collaborate extremely effectively with product managers, designers, other engineers, stakeholders, and vendors on projects within the team. Communicate technical ideas and work closely with other senior members of the team. You will also provide technical leadership and guidance to junior team members and mentor others to grow in their technical abilities. A key responsibility is staying up-to-date with the latest technologies, tools, and methodologies and experimenting with new technologies to incorporate innovative solutions into our projects. Our personnel can expect to work across all functional areas: systems engineering, development, integration and test, deployment and O&M, and experience the direct mission feedback from the customer and seeing your project provide real-world contributions that make a significant difference. Youre encouraged and expected to propose things that you believe will improve the applications and frameworks youre working in. The ability to work unsupervised with minimal direction and the ability to self-start is a must. What required background will make you successful? Expert knowledge of data structures, algorithms, and modern design patterns and data layers Expert knowledge of Golang Passion to build internal solutions and own development of enterprise-wide applications Extensive knowledge of building quality APIs for internal and external products Extensive experience integrating internal and third-party services into your solution Highly proficient in modern software engineering practices for testability and readability Demonstrated ability to design the architecture of software systems to ensure they achieve functionality, performance, scalability, and maintainability requirements Degree (Bachelor's, Master's, or PhD) in Computer Engineering or Computer Science Minimum 15 years' experience in software engineering-related discipline Active TS/SCI security clearance US CITIZENSHIP REQUIRED Preferred skills: Experience providing technical leadership and guidance to junior team member and mentoring other engineers to grow in their technical abilities Highly proficient in C++ and Python for engineering and scientific applications in LINUX environments Knowledge of cloud computing platforms like Amazon Web Services (AWS) Knowledge of Javascript and web technologies such as VueJS or React Experience automating workflows across the enterprise DevOps and Cloud computing Experience (Gitlab, CI/CD, CVE mitigations, Docker, Kubernetes, PIP) Agile development processes and leadership Full relocation provided Remote work/telework is not available for this position. Qualifications: What required background will make you successful? Expert knowledge of data structures, algorithms, and modern design patterns and data layers Expert knowledge of Golang Passion to build internal solutions and own development of enterprise-wide applications Extensive knowledge of building quality APIs for internal and external products Extensive experience integrating internal and third-party services into your solution Highly proficient in modern software engineering practices for testability and readability Demonstrated ability to design the architecture of software systems to ensure they achieve functionality, performance, scalability, and maintainability requirements Degree (Bachelor's, Master's, or PhD) in Computer Engineering or Computer Science Minimum 15 years' experience in software engineering-related discipline Active TS/SCI security clearance US CITIZENSHIP REQUIRED Preferred skills: Experience providing technical leadership and guidance to junior team member and mentoring other engineers to grow in their technical abilities Highly proficient in C++ and Python for engineering and scientific applications in LINUX environments Knowledge of cloud computing platforms like Amazon Web Services (AWS) Knowledge of Javascript and web technologies such as VueJS or React Experience automating workflows across the enterprise DevOps and Cloud computing Experience (Gitlab, CI/CD, CVE mitigations, Docker, Kubernetes, PIP) Agile development processes and leadership Full relocation provided Remote work/telework is not available for this position. Why is This a Great Opportunity: We are seeking a talented, tenacious, results driven individual to work in a multi-disciplinary R&D environment with likeminded motivated electrical engineers, mathematicians, and computer scientists who are collectively responsible for creating custom geolocation and digital communications systems in support of national security defense. Salary Type : Annual Salary Salary Min : $ 160000 Salary Max : $ 260000 Currency Type : USD

At Bose Corporation, we believe sound is the most powerful force on earth - and for over 60 years, we have been a company built on innovation, excellence, and independence. Privately owned, fiercely customer-focused, and driven by our values, we continue to lead industries and transform lives through sound. Today, Bose Corporation is entering an exciting new era. Across multiple global Business Units and Global Functions, we are shaping the future of audio technology, automotive, luxury, and premium experiences. We invite you to join us in this transformation. Job Description Principal Audio DSP/ML Engineer - Audio Technology We are seeking a Principal Audio DSP / Machine Learning Applied Scientist to invent, develop, and productize advanced audio technologies. In this role, you will combine signal processing, machine learning, and systems engineering to deliver high-quality audio solutions for real-world consumer devices. You will work across the full pipeline-from algorithm research and deployment to optimized, real-time deployment on production hardware. Bose has a strong history of combining creative thinking with cutting-edge technology in the audio domain. We are looking for candidates passionate about machine learning and audio to help us shape the next chapter in the future of Bose! Responsibilities: Design and develop audio signal processing and machine learning algorithms for speech and audio applications such as noise suppression, echo cancellation, beamforming, spatial audio, and audio enhancement Apply primarily modern ML/deep learning approaches augmented by classical DSP techniques to audio and time-series data. Investigate new modeling approaches and translate research ideas into practical, scalable solutions that will be experienced by millions of consumers. Qualifications: Bachelor's degree in Electrical Engineering, Computer Engineering, Computer Science, Applied Mathematics, or related field. Hands-on experience with machine learning applied to audio or time-series data. Strong fundamentals in digital signal processing (sampling, filtering, FFTs, spectral analysis). Experience with Python and/or MATLAB for research and prototyping. Solid understanding of audio systems and acoustics. Strong communication skills. Preferred Qualifications: MS or PhD in a relevant technical field. Deep practical knowledge of: Applied ML frameworks such as PyTorch/ONNX and/or TensorFlow/TFLite. Audio DSP (sampling, filtering, FFTs, spectral analysis) using tools such as Python, Matlab and/or C/C++. Experience with speech or audio ML tasks, such as: Audio source separation / speech enhancement Echo reduction Microphone array signal processing Strong software engineering practices (debugging, profiling, version control). Proficiency in C and/or C++ for performance-critical systems. Publications, patents, or demonstrated innovation in DSP or ML. What success looks like: You deliver robust, high-quality audio algorithms that work reliably in real-world conditions. You balance audio quality, ML performance, and system constraints effectively. You influence product direction through technical insight and data-driven decisions. Your work ships as both licensed audio technology at scale. At Bose, you're inspired to be and do your best and are rewarded for your unique talents! Our compensation is thoughtfully tailored to your skills, experience, education, and location, and goes beyond base salary. The hiring range for this position in the primary work location of Remote, California is: $216,000-$297,000.The hiring range for other Bose work locations may vary. In addition to competitive base pay we offer rewards including bonus programs, comprehensive health and welfare benefits, a 401(k) plan, plus exclusive perks designed to support your wellbeing, and a generous employee discount where you can immerse yourself in our products and experiences. We are a proudly independent company-driven by purpose, guided by our values, and united by a belief in the power of sound. As the world leader in audio experiences, we're creating what's next-pushing boundaries and delivering transformative sound experiences for people everywhere. Join us and make your next career move a mic-drop. Let's Make Waves.

At Bose Corporation, we believe sound is the most powerful force on earth - and for over 60 years, we have been a company built on innovation, excellence, and independence. Privately owned, fiercely customer-focused, and driven by our values, we continue to lead industries and transform lives through sound. Today, Bose Corporation is entering an exciting new era. Across multiple global Business Units and Global Functions, we are shaping the future of audio technology, automotive, luxury, and premium experiences. We invite you to join us in this transformation. Job Description Principal Audio DSP/ML Engineer - Audio Technology We are seeking a Principal Audio DSP / Machine Learning Applied Scientist to invent, develop, and productize advanced audio technologies. In this role, you will combine signal processing, machine learning, and systems engineering to deliver high-quality audio solutions for real-world consumer devices. You will work across the full pipeline-from algorithm research and deployment to optimized, real-time deployment on production hardware. Bose has a strong history of combining creative thinking with cutting-edge technology in the audio domain. We are looking for candidates passionate about machine learning and audio to help us shape the next chapter in the future of Bose! Responsibilities: Design and develop audio signal processing and machine learning algorithms for speech and audio applications such as noise suppression, echo cancellation, beamforming, spatial audio, and audio enhancement Apply primarily modern ML/deep learning approaches augmented by classical DSP techniques to audio and time-series data. Investigate new modeling approaches and translate research ideas into practical, scalable solutions that will be experienced by millions of consumers. Qualifications: Bachelor's degree in Electrical Engineering, Computer Engineering, Computer Science, Applied Mathematics, or related field. Hands-on experience with machine learning applied to audio or time-series data. Strong fundamentals in digital signal processing (sampling, filtering, FFTs, spectral analysis). Experience with Python and/or MATLAB for research and prototyping. Solid understanding of audio systems and acoustics. Strong communication skills. Preferred Qualifications: MS or PhD in a relevant technical field. Deep practical knowledge of: Applied ML frameworks such as PyTorch/ONNX and/or TensorFlow/TFLite. Audio DSP (sampling, filtering, FFTs, spectral analysis) using tools such as Python, Matlab and/or C/C++. Experience with speech or audio ML tasks, such as: Audio source separation / speech enhancement Echo reduction Microphone array signal processing Strong software engineering practices (debugging, profiling, version control). Proficiency in C and/or C++ for performance-critical systems. Publications, patents, or demonstrated innovation in DSP or ML. What success looks like: You deliver robust, high-quality audio algorithms that work reliably in real-world conditions. You balance audio quality, ML performance, and system constraints effectively. You influence product direction through technical insight and data-driven decisions. Your work ships as both licensed audio technology at scale. At Bose, you're inspired to be and do your best and are rewarded for your unique talents! Our compensation is thoughtfully tailored to your skills, experience, education, and location, and goes beyond base salary. The hiring range for this position in the primary work location of Remote, California is: $216,000-$297,000.The hiring range for other Bose work locations may vary. In addition to competitive base pay we offer rewards including bonus programs, comprehensive health and welfare benefits, a 401(k) plan, plus exclusive perks designed to support your wellbeing, and a generous employee discount where you can immerse yourself in our products and experiences. We are a proudly independent company-driven by purpose, guided by our values, and united by a belief in the power of sound. As the world leader in audio experiences, we're creating what's next-pushing boundaries and delivering transformative sound experiences for people everywhere. Join us and make your next career move a mic-drop. Let's Make Waves.

Company Description Penguin Random House is the leading adult and children's publishing house in North America, the United Kingdom and many other regions around the world. In publishing the best books in every genre and subject for all ages, we are committed to quality, excellence in execution, and innovation throughout the entire publishing process: editorial, design, marketing, publicity, sales, production, and distribution. Our vibrant and diverse international community of nearly 300 publishing brands and imprints include Ballantine Bantam Dell, Berkley, Clarkson Potter, Crown, DK, Doubleday, Dutton, Grosset & Dunlap, Little Golden Books, Knopf, Modern Library, Pantheon, Penguin Books, Penguin Press, Penguin Random House Audio, Penguin Young Readers, Portfolio, Puffin, Putnam, Random House, Random House Children's Books, Riverhead, Ten Speed Press, Viking, and Vintage, among others. More information can be found at Penguin Random House values the array of talents and perspectives that a diverse workforce brings. All qualified applicants will receive consideration for employment without regard to race, national origin, religion, age, color, sex, sexual orientation, gender identity, disability, or protected veteran status. Job Description Penguin Random House publishes more of the books people love than anyone else in the world and the Data Science team helps those books find their readers: recommendation systems that surface the right book for the right person, forecasting models that guide print runs and marketing spend, and AI-powered tools that support our publishing teams. We're hiring a Senior AI Solutions Engineer to build the systems behind this next wave of AI work for improving operations: agentic applications, LLM-powered services, and the interfaces (e.g. MCP servers) that connect AI models and assistants to our internal data and tools. You'll work at the intersection of a world-class publishing business and the modern AI stack, and you'll own what you build all the way to production. Specific responsibilities include: Design, build, and operate LLM-powered applications and services (e.g. agentic workflows, retrieval/RAG systems, classification pipelines) over our catalog, sales, and operational data Stand up and maintain MCP servers and tool integrations that connect AI models and assistants to our internal data and systems safely and reliably Own services end-to-end: architecture, implementation, deployment, evaluation, and monitoring in our AWS/Databricks environment Evaluate emerging AI tooling and patterns (agent frameworks, MCP, evaluation harnesses, new model capabilities), run structured pilots, and lead adoption of what works Raise the team's AI engineering capability: run working sessions and internal demos, pair program with scientists, and build internal tools to help accelerate AI usage across the team. Qualifications 3+ years building and shipping production-quality software, including hands-on work with machine learning or AI systems that include the following preferred qualifications: Experience standing up MCP servers or comparable tool-integration layers for AI assistants Experience with cloud ML platforms (AWS, Databricks), model APIs (Bedrock, Anthropic, OpenAI), and vector databases Advanced degree (MS/PhD) in computer science, machine learning, or a related quantitative field Experience applying AI/ML to commercial problems such as demand forecasting, pricing, sales and marketing optimization, recommendation, or search Background in media, publishing, or other content-rich domains Demonstrated fluency with the current LLM stack: retrieval-augmented generation, embeddings, prompt engineering, agentic patterns, and rigorous evaluation of generative systems Strong Python engineering skills with experience in version control, testing, and CI Self-motivated, with strong communication skills and a demonstrated ability to teach and level up teammates. Additional Information The salary range for this position is $180,000 to $220,000. All positions are currently eligible for annual profit award or bonus, subject to Company results. Applications for this role will be accepted through October 8, 2026 or until the role is filled. We encourage you to apply early, as we review applications on a rolling basis. For this position a complete application should include your resume and cover letter, as both are required for consideration. Before applying for any role at Penguin Random House, we recommend you review ou r applicant resources page and our FAQs page. Penguin Random House job postings include a good faith compensation range for each open position. The salary range listed is specific to each particular open position and takes into account various factors including the specifics of the individual role, and candidate's relevant experience and qualifications. Full-time employees are eligible for our comprehensive benefits program. Our range of benefits include, but are not limited to, Medical/Prescription drug insurance, Dental, Vision, Health Care/Dependent Care Flexible Spending Account, Health Savings Account, Pre-Tax and Roth 401(k), Short and Long-Term Disability Insurance, Life/AD&D Insurance, Commuter Benefits, Student Loan Repayment Program, Educational Assistance & generous paid time off. All your information will be kept confidential according to EEO guidelines. Disclosure requirements pertaining to the collection of your personal data: Responsible for processing the information provided in your application is the company specified in the job advertisement, with its registered office as indicated. The company processes your data for the purpose of establishing an employment relationship on the basis of Art. 6 (1) b GDPR / Section 26 (1) sentence 1 BDSG. The retention period for your data is determined by the statutory time limits applicable in the respective country, beginning upon completion of the recruitment process. You can find these here. You can contact the company's Data Protection Officer at the above-mentioned postal address. Further information on data protection and your rights can be found here. We value the array of talents and perspectives that a diverse workforce brings. All qualified applicants will receive consideration for employment and will not be discriminated against on the basis of race, color, religion, sex, sexual orientation, gender identity, national origin, disability, protected veteran status, age, genetic information, or pregnancy. All your information will be kept confidential according to EEO guidelines. Recruiting-Platform powered by SmartRecruiters .

Every day, tens of millions of people come to Roblox to explore, create, play, learn, and connect with friends in 3D immersive digital experiences- all created by our global community of developers and creators. At Roblox, we're building the tools and platform that empower our community to bring any experience that they can imagine to life. Our vision is to reimagine the way people come together, from anywhere in the world, and on any device.We're on a mission to connect a billion people with optimism and civility, and looking for amazing talent to help us get there. A career at Roblox means you'll be working to shape the future of human interaction, solving unique technical challenges at scale, and helping to create safer, more civil shared experiences for everyone. With Roblox Ads & Discovery business growing at a rapid rate, we are building large scale ads machine learning infrastructure to deliver more value to our users and our advertisers. As a Machine Learning Infrastructure Engineer, you'll build scalable, reliable, and high-performance infrastructure that powers ML systems across our organization. You'll operate at the scales of hundreds of billions of engagements, and redefine how we deliver performance ads to hundreds of millions of users. You will: You will co-design models and systems, working at the intersection of model architecture and ML infrastructure, partnering closely with core modelers, data and AI infrastructure engineers, and product teams to push the boundaries of large-scale training and serving. Your work will span recommendation, search, and agentic applications, including large transformer architectures, LLMs, generative rankers, and efficient offline and online content-understanding systems. You will investigate model, data, and systems tradeoffs end to end-from data pipelines and distributed training to low-latency inference and production serving. This includes designing efficient KV-cache strategies, applying pruning and quantization, optimizing GPU utilization and memory efficiency, and developing custom kernels where needed. You are comfortable working across modern ML systems technologies such as FSDP, vLLM, SGLang, CUDA, distributed training frameworks, inference engines, and GPU kernels, while remaining tool-agnostic and focused on achieving step-function improvements in model quality, throughput, latency, reliability, and cost. Lead strategic planning and roadmap execution of scalable production-ready ML systems including model training, data pipelines, feature engineering and model inference. Own the architecture, establish engineering best practices of scalability, reliability, and cost-effectiveness of ML infrastructure (e.g., training, serving, feature). Work closely with data scientists, ML engineers, platform teams, and product stakeholders to design, implement, and operate robust ML platforms that accelerate model development and deployment. Stay abreast of industry trends in machine learning and infrastructure to ensure the adoption of leading-edge technologies and practices. You have: 5+ years of experience designing, building, and deploying large-scale machine learning systems in production environments. 3+ years of experience tech leading ML infrastructure engineers Strong communication skills and a collaborative approach to problem solving. BS, MS, or Ph.D. in Computer Science, Engineering, or equivalent experience. For roles that are based at our headquarters in San Mateo, CA: The starting base pay for this position is as shown below. The actual base pay is dependent upon a variety of job-related factors such as professional background, training, work experience, location, business needs and market demand. Therefore, in some circumstances, the actual salary could fall outside of this expected range. This pay range is subject to change and may be modified in the future. All full-time employees are also eligible for equity compensation and for benefits as described on this page . Annual Salary Range $295,250-$345,040 USD Roles that are based in an office are onsite Tuesday, Wednesday, and Thursday, with optional presence on Monday and Friday (unless otherwise noted). Roblox provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws. Roblox also provides reasonable accommodations to candidates with qualifying disabilities or religious beliefs during the recruiting process. For US based roles only, please note the Company may not be able to employ candidates for this role who have United States work authorization related to certain U.S. visa categories, or support future H-1B sponsorship at this time.

About BlueLabs BlueLabs is a leading provider of analytics services and technology dedicated to helping our partners do the most good with their data. Our team of analysts, scientists, engineers, and strategists hail from diverse backgrounds yet share a passion for using data to solve the world's greatest social and analytical challenges. Since our inception we've worked with more than 400 organizations ranging from advocacy groups, unions, political campaigns, and international groups. In addition, we service an ever-expanding portfolio of commercial clients in the automotive, travel, CPG, entertainment, healthcare, media, and telecom industries. Along the way, we've developed some of the most innovative tools available in analytics, media optimization, reporting, and influencer outreach. About the team The Strategic Analytics Team at BlueLabs drives high quality, innovative research and analysis across BlueLabs' client sectors, including commercial, political, and non-profit clients, to inform data-driven decisions and strategy. Team members analyze and interpret data, provide strategic program insight, drive innovation across sectors, and collaborate closely with both our client and technical teams. Our team is often called to answer questions like: What are the meaningful messaging takeaways from a survey of industry elites for a major corporation to consider in their paid communication? What political trends should a campaign be aware of, and what are the different pathways to victory? How do we present our models, calculators, and reports, so our partners get the information they need? About the role: As part of the Insights at BlueLabs, you'll be working with a group of analysts and data scientists who work across BlueLabs' client sectors, including commercial, political, and non-profit clients, to inform data-driven decisions and strategy. This position requires a mix of analysis and data management as well as client presentation and communication. You'll be responsible for hard analysis as well as putting together the data infrastructure, reports, and calculators that will power our solutions as well as creating the client-facing materials that summarize those findings. Analysts at BlueLabs are the ones with the best understanding of the nuances of a client's data and our solutions. They can execute on the perfect solution but can also discover the answer that gets us 95% of the way there is a quicker and more efficient way. Some of our work is templated, but our team excels when they come up with creative solutions to the problems. This will require creating new calculators or analyzing existing outputs in a new light. Some examples of projects you might work on: Analyze polling data to discover trends and insights and then create a report that clearly communicates your findings Build crosstabs that detail the makeup of an advertising audience, target universe, or group of survey respondents Present your findings to clients and other stakeholders who may be made up of non-technical and/or highly technical people. Mentor analysts or fellows and support their growth and development Such other reasonable tasks may be assigned by management. Tools of the Trade We work closely with our data science team, so you'll need an understanding of statistical concepts, be able to interpret results and explain them to non-analysts We use big data sets so you will need to be comfortable with tools to access information and analyze that information such as SQL and some statistical and/or spreadsheet software We use an array of business intelligence tools to visualize our findings. Members of our team have different strengths such as GIS or Tableau so we look for some experience using such tools We're only successful if we can communicate our findings; writing skills, PowerPoint, Keynote and other tools of the consultant toolbox will help you succeed in this job What we are seeking: You likely have at least a bachelor's degree in a related field with a statistical background or at least 2+ years of experience analyzing data and building reports You are passionate about harnessing data-driven solutions to improve social outcomes You're eager to learn techniques in data management, analysis, and visualization You can recognize patterns and are careful to check assumptions whether they are your own or someone else's You have excellent attention to detail and a keen eye for design Your experience manipulating data to identify clear insights allows you to be able to conduct data analysis even on tight deadlines, where the problem is unstructured, or the guidance is open ended You've created reports and worked with data visualization and business intelligence tools You've created maps with GIS data and used software such as QGIS or ArcGIS You have experience with programming languages such as Python and SQL You have worked with spreadsheet and presentation software (Excel, Google Sheets, PowerPoint, Keynote) What Recruitment Looks Like: The successful candidate will complete up to three interviews (HR phone call, team member interview, and panel interview). There will also be a technical assessment. During the interview process, you will be asked questions to describe your background and experience relevant to the position. This may include providing examples of projects you worked on, tools or applications you've used, and knowledge you have applied. We often look for explanations of "how or why" so it's helpful to have details ready. What We Offer: BlueLabs offers a friendly work environment and competitive compensation and benefits package including: Salary: $85,000 Premier health, dental, and vision insurance plans 401K matching Unlimited paid time off Paid personal and volunteer leave 13 paid holidays 15 weeks paid parental leave Professional development stipend & tuition reimbursement Macbook Pro laptop & tech accessories Bring Your Own Device (BYOD) stipend for mobile device Employee Assistance Program (EAP) Supportive & collaborative culture Flexible working hours Remote friendly (within the U.S.) Pre-tax transportation options for commuting to our office in Washington, DC Lunches and snacks And more! The salary range for candidates who meet the minimum posted qualifications reflects the Company's good faith understanding and belief as to the wage range, and is accurate as of the date of this job posting. At BlueLabs, we celebrate, support and thrive on differences. Not only do they benefit our services, products, and community, but most importantly, they are to the benefit of our team. Qualified people of all races, ethnicities, ages, sex, genders, sexual orientations, national origins, gender identities, marital status, religions, veterans statuses, disabilities and any other protected classes are strongly encouraged to apply. BlueLabs endeavors to make reasonable accommodations for qualified applicants with a disability unless the accommodation would impose an undue hardship on the operation of our business. If an applicant believes they require such assistance to complete the application or to participate in an interview, or has any questions or concerns, they should contact the Senior Director, People Operations. BlueLabs participates in E-verify. Collection of Personal Information Notice: As you are likely aware, by submitting your job application, you are submitting personal information to our company. We collect various categories of personal information, including identifiers, protected classifications, professional or employment related information and sensitive personal information. We may retain and use this information for up to three years, in order to come to a decision on whether or not you are a good fit for our company. We may also retain or use some of this information to comply with any requirements under law, or for purposes of defending ourselves in any litigation. We do not use this information for any other purpose, or share it with third parties, unless you become an employee. To learn more, or to see our full Notice to Job Applicants, please click here.

C3 AI (NYSE: AI), is the Enterprise AI application software company. C3 AI delivers a family of fully integrated products including the C3 Agentic AI Platform, an end-to-end platform for developing, deploying, and operating enterprise AI applications, C3 AI applications, a portfolio of industry-specific SaaS enterprise AI applications that enable the digital transformation of organizations globally, and C3 Generative AI, a suite of domain-specific generative AI offerings for the enterprise. Learn more at: C3 AI C3 AI is looking for a Lead/Senior Software Engineer, Full-Stack to join the AI Studio team. C3 AI Studio is the interface to the platform. It provides Developers, Data Scientists, and IT an integrated set of low code and deep code capabilities to build, deploy, operate, and extend Enterprise AI applications at scale. If you're curious about the product, you can check out the demo here. Responsibilities: Design, develop, and maintain performant and scalable full-stack applications. Build and improve visual tools for application development and data science that enable users to build an end-to-end AI application quickly. Collaborate closely with Product Management, User Interaction Designers, and Front-End/Back-End Engineers. Lead cross-team technical design discussions on the application architecture, UI components, UX, back-end and third-party integration, and testing. Rapidly fix bugs, solve problems, and proactively strive to improve our products and technologies. Manage individual project deliverables and mentor junior team members on industry coding standards and design techniques. Help build a team and cultivate innovation. Qualifications: Bachelor of Science in Computer Science, Computer Engineering, or related fields. 5+ years of professional software development experience with JavaScript, Java, or other object-oriented programming languages (8+ for lead) Strong hands-on experience and understanding of object-oriented programming, data structures, algorithms, and web application development. Experience working with JavaScript frameworks such as React, Redux, Vue, Backbone, or Angular. Real passion for developing team-oriented solutions to complex engineering problems. Thrive in a dynamic, rapidly changing environment and value end-to-end ownership of projects. Excellent verbal and written communication skills to collaborate multi-functionally and improve scalability. Interest in committing to a fun, friendly, expansive, and intellectually stimulating environment. Preferred Qualifications: Advanced degree in engineering, sciences, or related field. Experience with Git or other version control software. Knowledge of Agile development methodology. Knowledge of distributed systems, test-driven development, SQL and NoSQL databases, and performance optimization tools. Experience in leading engineering teams and projects. Experience in building scalable web applications. C3 AI provides excellent benefits, a competitive compensation package and generous equity plan. California Base Pay Range $145,000-$219,000 USD C3 AI is proud to be an Equal Opportunity and Affirmative Action Employer. We do not discriminate on the basis of any legally protected characteristics, including disabled and veteran status.

Who we are At Domino, we build solutions that help the largest, highly regulated organizations adopt AI to accelerate mission-critical use cases. Our platform integrates a streamlined model and app development environment, advanced model, agent, and app hosting capabilities, and novel governance capabilities providing regulator-ready AI at scale. Our customers - like Johnson & Johnson, GSK, Bristol Myers, UBS, FINRA and the US Navy - are using our software to solve some of the most important challenges in the world, such as developing new medicines, securing our financial markets, or protecting our country. Backed by Sequoia Capital, Coatue Management, NVIDIA, Snowflake and other leading investors, we have been in business for over a decade but are still a small team operating with the spirit of a startup. In the world of AI today, we believe that the future is still being invented - and we want to be the ones building it. For more information, visit What we are building Domino is the platform enterprises trust when the stakes on AI are highest. Global pharma running drug-discovery pipelines, top-five insurers underwriting billion-dollar risk, defense and intelligence agencies retraining mission-critical systems. Every model has to be auditable, defensible and reproducible from the day it's built. This is why Gartner has recognised us three times in the Enterprise Data Science & ML Platforms category. Frontier models have unlocked a new class of AI applications regulated companies couldn't previously ship - the governance, auditability and control primitives weren't there. Domino is building that layer. As a technical Product Manager, you'll own capabilities within it and shape the next chapter of what regulated enterprise AI looks like. What your impact will be Advance our Governance feature set - embedding model validation, review and audit-readiness directly into the development lifecycle, including automated model documentation and modern takes on longstanding requirements like attestation and revalidation. Shape the Extensions framework, a new product surface for embedding custom capabilities into the platform: model risk management, onboarding, inventory, and audit-ready documentation. Lead the next generation of AI/ML lifecycle capabilities, with a specific focus on generative AI and advanced AI systems. Strengthen how customers deploy, host, secure and administer Domino across SaaS and customer-managed environments. Partner directly with customer executives - up to and including CIOs, CTOs and Chief Data Officers at Fortune 100 companies - to turn their hardest operational-AI problems into product decisions. What we look for in this role This role is for builders. We're looking for PMs who default to shipping, who can carry a technical conversation on their own merit, and whose past work stands up to engineering scrutiny. 5+ years of product management experience shipping enterprise software to developers, ML engineers, quantitative researchers, data scientists or similar practitioners - users who write code as their primary interface with the product. Non-negotiable. Strong technical background - computer science or an equivalent discipline - and a track record of solving hard product problems where the difficulty is intrinsic, not superficial. You operate as a peer in system design conversations, not a translator. Customer-first instincts. You've owned enterprise customer relationships in prior roles and are comfortable running product conversations inside large, politically complex organisations. You listen carefully, read a stakeholder map, and turn what customers actually need into product decisions. Execution-focused. You want to join at an inflection point, not a steady state - at your best when synthesising customer signal, market direction and technical constraint into bets that ship. Bonus: hands-on familiarity with data science / AI workflows, or experience shipping product into regulated environments. What we value We strongly believe in the value of growing a diverse team and encourage people of all backgrounds, genders, ethnicities, abilities, and sexual orientations to apply We value a growth mindset. High-performing creative individuals who dig into problems and see the opportunities for success We believe in individuals who seek truth and speak the truth and can be their whole selves at work. We value all of you that believe improving is always possible. At Domino, everything is a work in progress - we can do better at everything. We emphasize an environment of teaching and learning to equip employees with the tools needed to be successful in their function and the company. Visa Sponsorship: Visa sponsorship (including H-1B and other employment-based visa categories) may be available for this position depending on business considerations and the role's requirements. Sponsorship eligibility is assessed on an individual basis and is not guaranteed for any role or candidate. All applicants are encouraged to apply regardless of current or future immigration status. The annual US base salary range for this role is listed below. For sales roles, the range provided is the role's On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. This salary range will be narrowed during the interview process based on a number of factors, including the candidate's experience, qualifications, and location. Additional benefits for this role may include: equity, company bonus or sales commissions/bonuses; 401(k) plan; medical, dental, and vision benefits; and wellness stipends. Compensation Range $225,000-$300,000 USD

Job Description Job Description H2O.ai is on a mission to democratize AI for Good. As the world's leading agentic AI company, H2O.ai converges Generative and Predictive AI to help enterprises and public sector agencies develop purpose-built Agents, SLMs, and solutions on their private data. With a focus on secure, compliant, and infrastructure-flexible Sovereign AI deployments, H2O.ai delivers solutions that align with the highest standards of data privacy and control. Its open-source technology is trusted by over 20,000 organizations worldwide, including more than half of the Fortune 500. H2O.ai powers AI transformation for companies like AT&T, Commonwealth Bank of Australia, Wells Fargo, Bank of America, Workday, Progressive Insurance, and NIH. For more information, visit . About This Opportunity We are looking for a Principal AI Engineer who builds things that matter. You will design and ship end-to-end AI solutions for some of APAC's most complex enterprise problems - spanning agentic AI systems, LLM applications, and production ML pipelines. This is a hands-on engineering role embedded within a customer-facing field team, meaning your work will be seen, used, and evaluated by real enterprises from day one. You will work alongside Kaggle Grandmasters, ML engineers, and domain experts to deliver AI that goes beyond demos - into production, into workflows, and into measurable business outcomes. This position is based in Dallas, Texas and requires onsite customer interfacing. What You Will Do Customer Engagement Leadership Lead end-to-end technical engagement with enterprise customers, acting as the senior point of accountability for delivery quality, stakeholder relationships, and outcomes. Manage multiple concurrent engagement streams simultaneously - coordinating workplans, resourcing, and milestones across cross-functional teams. Serve as the primary technical escalation point for customer issues, proactively identifying risks and driving resolution across engineering, product, and leadership. Build and maintain trusted relationships with customer data science teams, engineering leads, and executive stakeholders - translating business needs into technical direction and back again. Lead pre-sales and proof-of-concept engagements, setting the technical strategy and ensuring the team delivers demonstrations that build genuine enterprise trust. Represent H2O.ai externally at customer workshops, executive briefings, and technical deep-dives as a credible senior voice. Agentic AI & LLM Engineering Design and build agentic AI systems and multi-agent frameworks that automate complex, multi-step enterprise workflows. Develop and deploy LLM-powered applications using RAG, fine-tuning, prompt engineering, function calling, and tool use. Implement guardrails, evaluation frameworks, and responsible AI controls to ensure production-grade reliability and safety. Stay current with the rapidly evolving agentic AI landscape - MCP, LLM orchestration frameworks, reasoning models - and bring the best into customer engagements. End-to-End AI Application Development Own the full development lifecycle across multiple streams: from problem framing and data exploration through model development, API integration, and production deployment. Build scalable backend services and APIs that expose AI capabilities to enterprise applications and workflows. Integrate AI models into customer environments - cloud, on-prem, and hybrid - ensuring performance, stability, and maintainability at scale. Develop ML pipelines and LLMOps infrastructure that support continuous model improvement and monitoring in production. Team Collaboration & Delivery Excellence Coordinate delivery across engineers, program managers, and solution architects - ensuring workstreams are aligned, unblocked, and progressing to plan. Set the technical bar for the engagements you lead, reviewing outputs, shaping architecture decisions, and ensuring engineering quality across the team. Mentor and guide junior ML engineers and solution engineers within engagements, building team capability alongside delivery. Collaborate closely with H2O.ai product and engineering teams to surface customer feedback, shape roadmap input, and resolve platform-level issues. What We Are Looking For Experience & Background 8+ years of hands-on AI/ML engineering experience, including end-to-end model development and production deployment. Demonstrable experience leading technical delivery across complex, multi-stakeholder enterprise engagements - not just executing within them. Demonstrable experience building LLM-powered applications - RAG pipelines, agentic workflows, fine-tuned models, or similar. Strong Python engineering skills; experience with ML frameworks (PyTorch, TensorFlow, scikit-learn) and LLM tooling (LangChain, LlamaIndex, or equivalent). Experience deploying AI services in cloud or enterprise environments (AWS, Azure, GCP, on-prem Kubernetes). Skills & Capabilities Proven ability to manage multiple concurrent workstreams and coordinate cross-functional teams toward shared delivery milestones. Deep understanding of modern GenAI concepts: prompt engineering, RAG, fine-tuning, RLHF, model evaluation, guardrails, and LLMOps. Solid grounding in classical ML - able to select the right tool for the problem, not just default to the latest LLM. Backend development skills: REST APIs, containerisation (Docker/Kubernetes), and CI/CD pipelines for AI applications. Strong executive communication - able to run a board-level briefing one hour and a technical design review the next, credibly. Comfortable with ambiguity and able to set direction for a team when requirements are incomplete or evolving. How to Stand Out From the Crowd Kaggle or competitive ML experience. Familiarity with H2O.ai products, Wave, or H2O Document AI. Experience in financial services, healthcare, or other regulated industry AI deployments. Exposure to tabular foundation models, AutoML, or enterprise ML platforms. Prior experience in a customer-facing or field engineering role. Why H2O.ai? Market leader in total rewards Remote-friendly culture Flexible working environment Be part of a world-class team Career growth The base salary for this role ranges from $175,000 to $200,000. Compensation is determined based on several factors, including skills, experience, job scope, location, and relevant market compensation data. H2O.ai is committed to creating a diverse and inclusive culture. All qualified applicants will receive consideration for employment without regard to their race, ethnicity, religion, gender, sexual orientation, age, disability status or any other legally protected basis. H2O.ai is an innovative AI cloud platform company, leading the mission to democratize AI for everyone. Thousands of organizations from all over the world have used our cutting-edge technology across a variety of industries. We've made it easy for people at all levels to generate breakthrough solutions to complex business problems and advance the discovery of new ideas and revenue streams. We push the boundaries of what is possible with artificial intelligence. H2O.ai employs the world's top Kaggle Grandmasters, the community of best-in-the-world machine learning practitioners and data scientists. A strong AI for Good ethos and responsible AI drive the company's purpose. Please visit to learn more.

Job Description Job Description At Atom Computing, we build quantum computers using arrays of optically trapped neutral atoms that will empower customers to achieve unprecedented computational breakthroughs. Join a world-class team of scientists, engineers, and business professionals to advance the state-of-the-art in quantum computing. We are looking for Quantum Engineers to work on all aspects of neutral atom quantum computing. As a Quantum Engineer at Atom Computing, you will join a team of talented scientists and engineers who are working to translate fundamental atomic physics to a scalable, fault-tolerant quantum computer. We welcome applicants from a diverse set of backgrounds, but are specifically interested in candidates with experience in the following fields: Trapping and manipulation of cold atoms; Coherent control of quantum systems (for example: neutral atoms, trapped ions, NV- centers, nuclear magnetic resonance, superconducting qubits); Quantum characterization, verification, and validation (QCVV) techniques. Responsibilities Design and construct the scientific hardware and control interfaces (both hardware and software) that are the essential backbone of the quantum computing platform. Generate intellectual property related to the design and operation of neutral-atom-based quantum computers. Distill and communicate findings internally, and as appropriate, in external publications and presentations. Capable of lifting and moving objects that weigh up to 25 pounds. Experience & Education PhD in Physics, Chemistry, Engineering, or a related field. 4+ years work industry experience designing and operating quantum computing hardware, including an explicit technical leadership role. Required Qualifications Extensive knowledge of the state-of-the-art techniques used in atomic physics and quantum computing research Deep understanding of the fundamental interactions between light and matter. Ability to effectively communicate and collaborate with a diverse team of experimental physicists, hardware, and software engineers. Proven track record of successfully leading high impact technical projects Preferred Qualifications Familiarity with Python and Git software version control Atom Computing provides a wide variety of perks and benefits, including fully paid medical, dental, and vision insurance for our employees and their dependents. Additionally, we offer unlimited paid time off, 401K company matching, short- and long-term disability, FSA, dependent care benefits, and life insurance. We also offer drinks, snacks, and catered team lunches in our offices, every day! The salary range for this position is between $200,000 - $230,000, commensurate with experience. In addition to salary, we offer an annual bonus, sign-on bonus and incentive stock options for equity in the company. 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 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