146 jobs found

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 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

Waymo is an autonomous driving technology company with the mission to be the world's most trusted driver. Since its start as the Google Self-Driving Car Project in 2009, Waymo has focused on building the Waymo Driver-The World's Most Experienced Driver -to improve access to mobility while saving thousands of lives now lost to traffic crashes. The Waymo Driver powers Waymo's fully autonomous ride-hail service and can also be applied to a range of vehicle platforms and product use cases. The Waymo Driver has provided over ten million rider-only trips, enabled by its experience autonomously driving over 100 million miles on public roads and tens of billions in simulation across 15+ U.S. states. The RO Performance Team is accountable for the largest metrics system deployment in the AV industry. The team manages data pipelines that monitor Waymo's AV fleet in the real world at various latencies: from minutes to hours; supporting critical business decisions for deployments in new markets and identifying emergent business critical challenges. In addition, the same pipeline technologies are deployed for the virtual world to measure key outcomes from Waymo's massive scale simulations, generating insights to support new Driver releases. Important objectives for the next couple of years include: Reliably scaling as the business scales, Waymo is in its fast expansion phase and systems have to be built to support 100x growth. Timeliness: As Waymo's deployments accelerate across the globe, time to first detection needs to consistently improve. Comprehensive coverage: Expanding into new weather conditions and new markets brings new challenges. Increasing the metric and detection offerings to meet these challenges is key to achieving our business goals. The team works closely with many other teams such as: metrics development teams including large AI deployments, System engineers and Data scientists that produce definitions and quality controls, infrastructure and UI teams that support underlying capabilities, product teams to stay sensitive to changing business needs, and site reliability engineering (SRE) teams to maintain high system uptime. You Will: Be a part of the Event Insights sub-team, Once metric events, e.g., a hard brake occurred, are minted from heavy logs processing pipelines, an event lifecycle emerges where such events may get sent to other systems for further refinement, including but not limited to: human triage, VLM inference, clustering. Key workstreams that the TLM will be accountable for include: Clustering: Work on creation of a dynamic event clustering product to produce event clusters at low latency for rapid understanding of emerging issues during new deployments of the Waymo Driver in simulation or in the real world. Storage & APIs: Events need to be stored and queried by different downstream systems. Consumption APIs include pull or push based paradigms. Labels received from human triage or VLMs update existing events. Low Latency Orchestration: Gathering further event insights requires interaction with other systems at Waymo such as for human triage or large VLM inference. Orchestrating these interactions reliably and at low latency is key for meeting Waymo's challenges. Visualization: Work closely with partner UI teams to ensure that event insights can be delivered to end consumers and provide value for understanding the Waymo Driver's performance. You have: 5+ years of full-time software engineering experience, or a quantitative PhD with 2+ years of professional software engineering experience C++ proficiency Python familiarity SQL familiarity Excited about autonomous driving, Simulation + Eval We prefer: 7+ years of industry experience or 3+ years post-doc experience in a quantitative- or quality- focused engineering role in which you had experience as a technical lead for a team in which you were performing tasks like developing hypotheses, designing and running experiments, processing data from experiments, synthesizing conclusions, and ensuring the long term stability and health of the production system. B.Sc. in Computer Science Experience working with large FAANG scale distributed systems. The expected base salary range for this full-time position across US locations is listed below. Actual starting pay will be based on job-related factors, including exact work location, experience, relevant training and education, and skill level. Your recruiter can share more about the specific salary range for the role location or, if the role can be performed remote, the specific salary range for your preferred location, during the hiring process. Waymo employees are also eligible to participate in Waymo's discretionary annual bonus program, equity incentive plan, and generous Company benefits program, subject to eligibility requirements. Salary Range $213,000-$263,000 USD

Waymo is an autonomous driving technology company with the mission to be the world's most trusted driver. Since its start as the Google Self-Driving Car Project in 2009, Waymo has focused on building the Waymo Driver-The World's Most Experienced Driver -to improve access to mobility while saving thousands of lives now lost to traffic crashes. The Waymo Driver powers Waymo's fully autonomous ride-hail service and can also be applied to a range of vehicle platforms and product use cases. The Waymo Driver has provided over ten million rider-only trips, enabled by its experience autonomously driving over 100 million miles on public roads and tens of billions in simulation across 15+ U.S. states. The RO Performance Team is accountable for the largest metrics system deployment in the AV industry. The team manages data pipelines that monitor Waymo's AV fleet in the real world at various latencies: from minutes to hours; supporting critical business decisions for deployments in new markets and identifying emergent business critical challenges. In addition, the same pipeline technologies are deployed for the virtual world to measure key outcomes from Waymo's massive scale simulations, generating insights to support new Driver releases. Important objectives for the next couple of years include: Reliably scaling as the business scales, Waymo is in its fast expansion phase and systems have to be built to support 100x growth. Timeliness: As Waymo's deployments accelerate across the globe, time to first detection needs to consistently improve. Comprehensive coverage: Expanding into new weather conditions and new markets brings new challenges. Increasing the metric and detection offerings to meet these challenges is key to achieving our business goals. The team works closely with many other teams such as: metrics development teams including large AI deployments, System engineers and Data scientists that produce definitions and quality controls, infrastructure and UI teams that support underlying capabilities, product teams to stay sensitive to changing business needs, and site reliability engineering (SRE) teams to maintain high system uptime. You Will: Be a part of the Event Insights sub-team, Once metric events, e.g., a hard brake occurred, are minted from heavy logs processing pipelines, an event lifecycle emerges where such events may get sent to other systems for further refinement, including but not limited to: human triage, VLM inference, clustering. Key workstreams that the TLM will be accountable for include: Clustering: Work on creation of a dynamic event clustering product to produce event clusters at low latency for rapid understanding of emerging issues during new deployments of the Waymo Driver in simulation or in the real world. Storage & APIs: Events need to be stored and queried by different downstream systems. Consumption APIs include pull or push based paradigms. Labels received from human triage or VLMs update existing events. Low Latency Orchestration: Gathering further event insights requires interaction with other systems at Waymo such as for human triage or large VLM inference. Orchestrating these interactions reliably and at low latency is key for meeting Waymo's challenges. Visualization: Work closely with partner UI teams to ensure that event insights can be delivered to end consumers and provide value for understanding the Waymo Driver's performance. You have: 5+ years of full-time software engineering experience, or a quantitative PhD with 2+ years of professional software engineering experience C++ proficiency Python familiarity SQL familiarity Excited about autonomous driving, Simulation + Eval We prefer: 7+ years of industry experience or 3+ years post-doc experience in a quantitative- or quality- focused engineering role in which you had experience as a technical lead for a team in which you were performing tasks like developing hypotheses, designing and running experiments, processing data from experiments, synthesizing conclusions, and ensuring the long term stability and health of the production system. B.Sc. in Computer Science Experience working with large FAANG scale distributed systems. The expected base salary range for this full-time position across US locations is listed below. Actual starting pay will be based on job-related factors, including exact work location, experience, relevant training and education, and skill level. Your recruiter can share more about the specific salary range for the role location or, if the role can be performed remote, the specific salary range for your preferred location, during the hiring process. Waymo employees are also eligible to participate in Waymo's discretionary annual bonus program, equity incentive plan, and generous Company benefits program, subject to eligibility requirements. Salary Range $213,000-$263,000 USD

Waymo is an autonomous driving technology company with the mission to be the world's most trusted driver. Since its start as the Google Self-Driving Car Project in 2009, Waymo has focused on building the Waymo Driver-The World's Most Experienced Driver -to improve access to mobility while saving thousands of lives now lost to traffic crashes. The Waymo Driver powers Waymo's fully autonomous ride-hail service and can also be applied to a range of vehicle platforms and product use cases. The Waymo Driver has provided over ten million rider-only trips, enabled by its experience autonomously driving over 100 million miles on public roads and tens of billions in simulation across 15+ U.S. states. The RO Performance Team is accountable for the largest metrics system deployment in the AV industry. The team manages data pipelines that monitor Waymo's AV fleet in the real world at various latencies: from minutes to hours; supporting critical business decisions for deployments in new markets and identifying emergent business critical challenges. In addition, the same pipeline technologies are deployed for the virtual world to measure key outcomes from Waymo's massive scale simulations, generating insights to support new Driver releases. Important objectives for the next couple of years include: Reliably scaling as the business scales, Waymo is in its fast expansion phase and systems have to be built to support 100x growth. Timeliness: As Waymo's deployments accelerate across the globe, time to first detection needs to consistently improve. Comprehensive coverage: Expanding into new weather conditions and new markets brings new challenges. Increasing the metric and detection offerings to meet these challenges is key to achieving our business goals. The team works closely with many other teams such as: metrics development teams including large AI deployments, System engineers and Data scientists that produce definitions and quality controls, infrastructure and UI teams that support underlying capabilities, product teams to stay sensitive to changing business needs, and site reliability engineering (SRE) teams to maintain high system uptime. You Will: Be a part of the Event Insights sub-team, Once metric events, e.g., a hard brake occurred, are minted from heavy logs processing pipelines, an event lifecycle emerges where such events may get sent to other systems for further refinement, including but not limited to: human triage, VLM inference, clustering. Key workstreams that the TLM will be accountable for include: Clustering: Work on creation of a dynamic event clustering product to produce event clusters at low latency for rapid understanding of emerging issues during new deployments of the Waymo Driver in simulation or in the real world. Storage & APIs: Events need to be stored and queried by different downstream systems. Consumption APIs include pull or push based paradigms. Labels received from human triage or VLMs update existing events. Low Latency Orchestration: Gathering further event insights requires interaction with other systems at Waymo such as for human triage or large VLM inference. Orchestrating these interactions reliably and at low latency is key for meeting Waymo's challenges. Visualization: Work closely with partner UI teams to ensure that event insights can be delivered to end consumers and provide value for understanding the Waymo Driver's performance. You have: 5+ years of full-time software engineering experience, or a quantitative PhD with 2+ years of professional software engineering experience C++ proficiency Python familiarity SQL familiarity Excited about autonomous driving, Simulation + Eval We prefer: 7+ years of industry experience or 3+ years post-doc experience in a quantitative- or quality- focused engineering role in which you had experience as a technical lead for a team in which you were performing tasks like developing hypotheses, designing and running experiments, processing data from experiments, synthesizing conclusions, and ensuring the long term stability and health of the production system. B.Sc. in Computer Science Experience working with large FAANG scale distributed systems. The expected base salary range for this full-time position across US locations is listed below. Actual starting pay will be based on job-related factors, including exact work location, experience, relevant training and education, and skill level. Your recruiter can share more about the specific salary range for the role location or, if the role can be performed remote, the specific salary range for your preferred location, during the hiring process. Waymo employees are also eligible to participate in Waymo's discretionary annual bonus program, equity incentive plan, and generous Company benefits program, subject to eligibility requirements. Salary Range $213,000-$263,000 USD

Waymo is an autonomous driving technology company with the mission to be the world's most trusted driver. Since its start as the Google Self-Driving Car Project in 2009, Waymo has focused on building the Waymo Driver-The World's Most Experienced Driver -to improve access to mobility while saving thousands of lives now lost to traffic crashes. The Waymo Driver powers Waymo's fully autonomous ride-hail service and can also be applied to a range of vehicle platforms and product use cases. The Waymo Driver has provided over ten million rider-only trips, enabled by its experience autonomously driving over 100 million miles on public roads and tens of billions in simulation across 15+ U.S. states. The Simulator Team at Waymo builds state-of-the-art simulations of realistic environments for testing and training the Waymo Driver. Your team will be a diverse, and collaborative group of machine learning (ML) engineers, software engineers and data scientists. We develop industry-leading simulation solutions using advanced ML algorithms that measure and enhance the performance of the Waymo Driver. We achieve those goals by jointly modeling the real world, including realistic agents (vehicles, pedestrians, cyclists, motorcyclists), roads, traffic control systems, and weather conditions, and the full sensor suite including camera, Lidar and radars. To increase the fidelity, scalability and controllability of our simulations,we employ the latest ML technologies such as large language models, foundational world models, and reconstructive methods trained on large-scale datasets with both generative and reconstructive technologies, as well as traditional rendering approaches. In this hybrid role, you will report to a Senior Staff Engineering Manager. You will: Work closely with onboard and research engineers to scale simulation and enable critical Waymo milestones Support development, testing and evolution of mapping data in the simulator Improve / monitor the performance, scalability and the reliability of the simulator Design the long term architecture to fit the product to an increasing number of internal customers You have: Hands-on experience building a popular (internal- or external-facing) product. Experience on backend knowledge such as workflows, databases, SQL, production monitoring, etc. Strong in C++. We prefer: Experience with the release of software in a highly distributed heterogeneous execution environment Experience with systems programming (game engines, database, OS, distributed) Experience with ML Previous TL experience The expected base salary range for this full-time position across US locations is listed below. Actual starting pay will be based on job-related factors, including exact work location, experience, relevant training and education, and skill level. Your recruiter can share more about the specific salary range for the role location or, if the role can be performed remote, the specific salary range for your preferred location, during the hiring process. Waymo employees are also eligible to participate in Waymo's discretionary annual bonus program, equity incentive plan, and generous Company benefits program, subject to eligibility requirements. Salary Range $251,000-$310,000 USD

Waymo is an autonomous driving technology company with the mission to be the world's most trusted driver. Since its start as the Google Self-Driving Car Project in 2009, Waymo has focused on building the Waymo Driver-The World's Most Experienced Driver -to improve access to mobility while saving thousands of lives now lost to traffic crashes. The Waymo Driver powers Waymo's fully autonomous ride-hail service and can also be applied to a range of vehicle platforms and product use cases. The Waymo Driver has provided over ten million rider-only trips, enabled by its experience autonomously driving over 100 million miles on public roads and tens of billions in simulation across 15+ U.S. states. The Planner Evaluation team works on one of the key challenges in autonomous driving: measuring and improving the quality of the software that drives the car. We are looking for experienced data-minded software engineers and data scientists to help us improve how we characterize and evaluate changes to the Onboard software stack (Planner, Perception, etc). If you are passionate about autonomous vehicles and how to use rich, complex data to drive decision making, this is the role for you! This role follows a hybrid work schedule and reports to aSr. Staff Engineering Manager. You will: Develop signals to measure the performance and driving qualities of the Waymo driver, using a range of techniques including statistics, math, physics, algorithms and machine learning. Use simulation creatively and mine real world driving logs to measure driving performance. Design and implement methods to make a stronger connection between onboard software changes and simulated outcomes. Champion code health and best practices in a large and complex code base. Analyze data and make recommendations on how to improve metric quality and interpretability. Collaborate with other engineers, data scientists, statisticians and the leadership team to deliver evaluation products and help make data driven decisions. You have: BS in Computer Science, Robotics, Statistics, Physics, Math or another quantitative area Strong self-motivation to navigate complex systems and pursue open-ended problems to completion 1+ years of industry experience with Navigating and modifying a large code base containing a variety of languages, such as C++, Python and SQL Performing statistical analyses Building data processing pipelines Writing, reviewing, and merging code following industry standards for code health and maintainability Quant/data fluency is a top requirement We prefer: Experience coding in C++ Experience with ML Experience with A/B experiment infrastructure Experience building and validating metrics to measure quality in complex systems Exposure to ad-hoc data analysis tools for rapid modeling and prototyping Experience working in the AV industry The expected base salary range for this full-time position across US locations is listed below. Actual starting pay will be based on job-related factors, including exact work location, experience, relevant training and education, and skill level. Your recruiter can share more about the specific salary range for the role location or, if the role can be performed remote, the specific salary range for your preferred location, during the hiring process. Waymo employees are also eligible to participate in Waymo's discretionary annual bonus program, equity incentive plan, and generous Company benefits program, subject to eligibility requirements. Salary Range $170,000-$216,000 USD

Waymo is an autonomous driving technology company with the mission to be the world's most trusted driver. Since its start as the Google Self-Driving Car Project in 2009, Waymo has focused on building the Waymo Driver-The World's Most Experienced Driver -to improve access to mobility while saving thousands of lives now lost to traffic crashes. The Waymo Driver powers Waymo's fully autonomous ride-hail service and can also be applied to a range of vehicle platforms and product use cases. The Waymo Driver has provided over ten million rider-only trips, enabled by its experience autonomously driving over 100 million miles on public roads and tens of billions in simulation across 15+ U.S. states. The Planner Evaluation team works on one of the key challenges in autonomous driving: measuring and improving the quality of the software that drives the car. We are looking for experienced data-minded software engineers and data scientists to help us improve how we characterize and evaluate changes to the Onboard software stack (Planner, Perception, etc). If you are passionate about autonomous vehicles and how to use rich, complex data to drive decision making, this is the role for you! This role follows a hybrid work schedule and reports to aSr. Staff Engineering Manager. You will: Develop signals to measure the performance and driving qualities of the Waymo driver, using a range of techniques including statistics, math, physics, algorithms and machine learning. Use simulation creatively and mine real world driving logs to measure driving performance. Design and implement methods to make a stronger connection between onboard software changes and simulated outcomes. Champion code health and best practices in a large and complex code base. Analyze data and make recommendations on how to improve metric quality and interpretability. Collaborate with other engineers, data scientists, statisticians and the leadership team to deliver evaluation products and help make data driven decisions. You have: BS in Computer Science, Robotics, Statistics, Physics, Math or another quantitative area Strong self-motivation to navigate complex systems and pursue open-ended problems to completion 1+ years of industry experience with Navigating and modifying a large code base containing a variety of languages, such as C++, Python and SQL Performing statistical analyses Building data processing pipelines Writing, reviewing, and merging code following industry standards for code health and maintainability Quant/data fluency is a top requirement We prefer: Experience coding in C++ Experience with ML Experience with A/B experiment infrastructure Experience building and validating metrics to measure quality in complex systems Exposure to ad-hoc data analysis tools for rapid modeling and prototyping Experience working in the AV industry The expected base salary range for this full-time position across US locations is listed below. Actual starting pay will be based on job-related factors, including exact work location, experience, relevant training and education, and skill level. Your recruiter can share more about the specific salary range for the role location or, if the role can be performed remote, the specific salary range for your preferred location, during the hiring process. Waymo employees are also eligible to participate in Waymo's discretionary annual bonus program, equity incentive plan, and generous Company benefits program, subject to eligibility requirements. Salary Range $170,000-$216,000 USD

Waymo is an autonomous driving technology company with the mission to be the world's most trusted driver. Since its start as the Google Self-Driving Car Project in 2009, Waymo has focused on building the Waymo Driver-The World's Most Experienced Driver -to improve access to mobility while saving thousands of lives now lost to traffic crashes. The Waymo Driver powers Waymo's fully autonomous ride-hail service and can also be applied to a range of vehicle platforms and product use cases. The Waymo Driver has provided over ten million rider-only trips, enabled by its experience autonomously driving over 100 million miles on public roads and tens of billions in simulation across 15+ U.S. states. Rigorous performance evaluation of the Waymo Driver is a critical part of scaling our ride hailing service and achieving Waymo's audacious goals. Waymo data scientists work hand-in-hand with engineering teams at each stage of the software development cycle, employing statistical models and developing metrics and measurement frameworks to ensure that the Waymo Driver meets our strict standards for safety, compliance, and driving and service quality. Autonomous driving presents a new paradigm in data science: in addition to leveraging data collected on-road, we generate our own data using state-of-the-art simulation technology-resulting in denser signals and challenging new problems in estimation and experimental design. In this hybrid role you will report to a data science manager. You will: Develop evaluation frameworks for autonomous vehicle performance, for large-scale ML models, and for the quality of simulation. Develop new metrics, interpret trends, and investigate anomalies in data from simulation and on-road driving. Develop novel statistical methods to handle unique aspects of AV data; e.g. rate estimation with rare events, combining real and synthetic data, etc. Frame and solve ambiguous problems by scoping technical priorities and innovating on statistical methods. Derive data-driven conclusions and communicate findings to senior stakeholders. Establish yourself as the point-of-contact for a significant project area by using data to drive technical decisions and demonstrate success. Collaborate with Product and Engineering partners developing the Waymo Driver and Waymo's simulation software; facilitate deployment readiness decisions for both products. Mentor other data scientists and provide constructive technical feedback within the team and across Waymo. You have: Degree in a quantitative field (e.g. Statistics, Mathematics, Physics) 5+ years of industry experience solving data science problems, or a PhD in a quantitative field and 3+ years of industry experience Expertise using advanced statistical methods in an applied setting; familiarity with ML systems/models Demonstrated knowledge of Python/SQL/R data analysis libraries and packages We prefer: PhD in a quantitative field A demonstrated track record of independently driving data science projects to deliver business value Experience solving problems related to Autonomous Driving or Ride Hailing Experience in adjacent relevant areas like Advanced Machine Learning (Deep Learning and Diffusion models), Traffic Modeling, Safety Evaluation or Prediction The expected base salary range for this full-time position across US locations is listed below. Actual starting pay will be based on job-related factors, including exact work location, experience, relevant training and education, and skill level. Your recruiter can share more about the specific salary range for the role location or, if the role can be performed remote, the specific salary range for your preferred location, during the hiring process. Waymo employees are also eligible to participate in Waymo's discretionary annual bonus program, equity incentive plan, and generous Company benefits program, subject to eligibility requirements. Salary Range $204,000-$259,000 USD

Waymo is an autonomous driving technology company with the mission to be the world's most trusted driver. Since its start as the Google Self-Driving Car Project in 2009, Waymo has focused on building the Waymo Driver-The World's Most Experienced Driver -to improve access to mobility while saving thousands of lives now lost to traffic crashes. The Waymo Driver powers Waymo's fully autonomous ride-hail service and can also be applied to a range of vehicle platforms and product use cases. The Waymo Driver has provided over ten million rider-only trips, enabled by its experience autonomously driving over 100 million miles on public roads and tens of billions in simulation across 15+ U.S. states. Rigorous performance evaluation of the Waymo Driver is a critical part of scaling our ride hailing service and achieving Waymo's audacious goals. Waymo data scientists work hand-in-hand with engineering teams at each stage of the software development cycle, employing statistical models and developing metrics and measurement frameworks to ensure that the Waymo Driver meets our strict standards for safety, compliance, and driving and service quality. Autonomous driving presents a new paradigm in data science: in addition to leveraging data collected on-road, we generate our own data using state-of-the-art simulation technology-resulting in denser signals and challenging new problems in estimation and experimental design. In this hybrid role you will report to a Data Science Manager. You will: Develop evaluation frameworks for autonomous vehicle performance, for large-scale ML models, and for the quality of simulation. Develop new metrics, interpret trends, and investigate anomalies in data from simulation and on-road driving. Develop novel statistical methods to handle unique aspects of AV data; e.g. rate estimation with rare events, combining real and synthetic data, etc. Frame and solve ambiguous problems, derive data-driven conclusions, and communicate findings to senior stakeholders. Collaborate with Product and Engineering partners developing the Waymo Driver and Waymo's simulation software; facilitate deployment readiness decisions for both products. You have: Degree in a quantitative field (e.g. Statistics, Mathematics, Physics) 3+ years of industry experience solving data science problems or a PhD in a quantitative field Expertise using advanced statistical methods in an applied setting; familiarity with ML systems/models Demonstrated knowledge of Python/SQL/R data analysis libraries and packages We prefer: PhD in a quantitative field Experience solving problems related to Autonomous Driving or Ride Hailing Experience in adjacent relevant areas like Advanced Machine Learning (Deep Learning and Diffusion models), Traffic Modeling, Safety Evaluation or Prediction The expected base salary range for this full-time position across US locations is listed below. Actual starting pay will be based on job-related factors, including exact work location, experience, relevant training and education, and skill level. Your recruiter can share more about the specific salary range for the role location or, if the role can be performed remote, the specific salary range for your preferred location, during the hiring process. Waymo employees are also eligible to participate in Waymo's discretionary annual bonus program, equity incentive plan, and generous Company benefits program, subject to eligibility requirements. Salary Range $170,000-$216,000 USD

User Research International is seeking an experienced UX Researcher (5+ years) to lead benchmarking and usability research for AI/ML, cloud, and developer-facing tools. You'll independently design and run structured evaluations that measure usability, efficiency, and developer experience across complex technical workflows. Responsibilities Lead end-to-end benchmark and usability studies (planning protocol design analysis reporting). Evaluate AI/ML tools, APIs, and cloud-based developer platforms. Collaborate with engineers, data scientists, and ML practitioners to uncover workflow friction. Synthesize technical feedback into clear, actionable product recommendations. Deliver high-quality insights while managing multiple studies with minimal oversight. Requirements 5+ years of UX research experience, including independent benchmark or structured usability study ownership. Strong grounding in HCI, study design, and measurement frameworks. Experience researching developer tools, ML workflows, APIs, CLIs, or cloud platforms. Excellent communication skills for technical and non-technical audiences. Highly organized, self-directed, and comfortable working in technical environments. Preferred Familiarity with machine learning concepts, data workflows, or software engineering. Benefits: Employer-paid Health/Vision/Dental 401(k) Paid time off Paid holidays ABOUT US User Research International is a User Experience (UX) consulting research company specializing in usability testing and market research based in Kirkland, Washington. We work with some of the most recognized brands on some of the most cutting-edge technologies, and we help our clients build in-depth understanding of their customers' needs. Our culture is collaborative and we equally value people skills and technical skills. We work in a fast-paced environment with quick turn around and rich variety. Our team is passionate about enabling our clients to make their products and services more usable and accessible. EQUAL OPPORTUNITY EMPLOYER: User Research values diversity and seeks to offer a safe, respectful, enjoyable workplace for all people. User Research International provides equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, religion, color, national origin, caste, sex, sexual orientation, gender identity or expression, pregnancy, age, genetic information, disability, or veteran/military status.

Waymo is an autonomous driving technology company with the mission to be the world's most trusted driver. Since its start as the Google Self-Driving Car Project in 2009, Waymo has focused on building the Waymo Driver-The World's Most Experienced Driver -to improve access to mobility while saving thousands of lives now lost to traffic crashes. The Waymo Driver powers Waymo's fully autonomous ride-hail service and can also be applied to a range of vehicle platforms and product use cases. The Waymo Driver has provided over ten million rider-only trips, enabled by its experience autonomously driving over 100 million miles on public roads and tens of billions in simulation across 15+ U.S. states. Waymo generates an unprecedented scale and complexity of data from billions of miles driven in simulation, millions on public roads, and the growing commercial operations. At the heart of achieving our mission lies the ability to deeply understand this data. World-class data analysis infrastructure is the bedrock of Waymo's success. It is absolutely critical for: Validating the safety and performance of the Waymo Driver. Accelerating research and development cycles across engineering, including Simulation, Onboard, and Machine Learning. Enabling data-driven decisions for our commercial operations and product strategy. Standardizing how we measure progress and compare performance across different contexts. The insights derived from our data platforms directly influence every aspect of our technology and business. We are looking for an exceptional technical leader to drive the vision and architecture of these vital systems. About the Role: We are seeking an exceptional a Leader to provide technical leadership and architectural vision for the core data platforms that power Waymo's insights and decision-making. This role is pivotal in shaping how Waymo leverages data to understand complex scenarios, measure progress, and ultimately deploy and operate our autonomous technology safely and effectively across the globe. You will be instrumental in tackling some of our most challenging data systems problems, from ensuring metrics consistency to building a scalable single source of truth for our ride-hail commercialization expansion. You will: Lead the architectural design and technical strategy for Waymo's core data platforms, encompassing a "Single Source of Truth" data lake for Commercialization and "Metrics Portability and Standardization" for Driver Evaluations. Establish and enforce comprehensive data governance frameworks across the data ecosystem, enabling easy data discoverability, and enhancing data quality. Identify and address inefficiencies in the data development lifecycle. Drive initiatives to improve developer productivity, streamline workflows, and enhance the overall effectiveness of the data engineering and metrics development functions in Waymo. Serve as a lead technical liaison, collaborating deeply with Simulation, Onboard, ML, and Commercialization teams to understand data needs, define data contracts, translate requirements into technical solutions, and ensure alignment on architectural direction. Mentor senior engineers, guide critical technical decisions, and champion best practices in data engineering, including system reliability, efficiency, developer experience, and innovation to address new challenges. You have: Proven track record of setting technical vision, driving multi-quarter roadmaps, and delivering impactful data projects as a technical lead for senior engineering teams, with demonstrated ability to influence across organizational boundaries. Excellent communication skills, with the ability to articulate complex technical designs, trade-offs, and strategies to diverse stakeholders, including senior leadership and partner engineering, data scientists, and product teams. Extensive experience architecting, building, and operating complex, large-scale distributed data systems (e.g., data lakes, lakehouse, data mesh, streaming platforms, query engines). Deep expertise in designing and implementing data governance principles, including metadata systems, data lineage, data quality frameworks, and data discoverability solutions at scale. Strong experience in designing and evolving data-centric APIs, schemas, and data contracts to ensure system interoperability, portability, and long-term maintainability. Expertise in data pipeline and query engine development and proficiencies in writing both SQL and one of C++/Java/Python code language. We prefer: Familiarity with data from autonomous vehicle operations, logistics, or ride-hailing business domains. Experience with Google's data infrastructure and tools such as F1 Query, Napa, Flume, Plx, or Google Cloud Platform (GCP) data services such as BigQuery, Cloud Dataflow, etc. The expected base salary range for this full-time position across US locations is listed below. Actual starting pay will be based on job-related factors, including exact work location, experience, relevant training and education, and skill level. Your recruiter can share more about the specific salary range for the role location or, if the role can be performed remote, the specific salary range for your preferred location, during the hiring process. Waymo employees are also eligible to participate in Waymo's discretionary annual bonus program, equity incentive plan, and generous Company benefits program, subject to eligibility requirements. Salary Range $281,000-$356,000 USD

Waymo is an autonomous driving technology company with the mission to be the world's most trusted driver. Since its start as the Google Self-Driving Car Project in 2009, Waymo has focused on building the Waymo Driver-The World's Most Experienced Driver -to improve access to mobility while saving thousands of lives now lost to traffic crashes. The Waymo Driver powers Waymo's fully autonomous ride-hail service and can also be applied to a range of vehicle platforms and product use cases. The Waymo Driver has provided over ten million rider-only trips, enabled by its experience autonomously driving over 100 million miles on public roads and tens of billions in simulation across 15+ U.S. states. The Planner Evaluation team works on one of the key challenges in autonomous driving: measuring and improving the quality of the software that drives the car. We are looking for experienced data-minded software engineers and data scientists to help us improve how we characterize and evaluate changes to the Onboard software stack (Planner, Perception, etc). If you are passionate about autonomous vehicles and how to use rich, complex data to drive decision making, this is the role for you! This role follows a hybrid work schedule and reports to an Engineering Manager. You will: Develop signals to measure the performance and driving qualities of the Waymo driver, using a range of techniques including statistics, math, physics, algorithms and machine learning. Use simulation creatively and mine real world driving logs to measure driving performance. Design and implement methods to make a stronger connection between onboard software changes and simulated outcomes. Champion code health and best practices in a large and complex code base. Analyze data and make recommendations on how to improve metric quality and interpretability. Collaborate with other engineers, data scientists, statisticians and the leadership team to deliver evaluation products and help make data driven decisions. You have: BS in Computer Science, Robotics, Statistics, Physics, Math or another quantitative area Strong self-motivation to navigate complex systems and pursue open-ended problems to completion 2-3 years of industry experience with Navigating and modifying a large code base containing a variety of languages, such as C++, Python and SQL Performing statistical analyses Building data processing pipelines Writing, reviewing, and merging code following industry standards for code health and maintainability Quant/data fluency is a top requirement We prefer: Experience coding in C++ Experience with ML Experience with A/B experiment infrastructure Experience building and validating metrics to measure quality in complex systems Exposure to ad-hoc data analysis tools for rapid modeling and prototyping Experience working in the AV industry The expected base salary range for this full-time position across US locations is listed below. Actual starting pay will be based on job-related factors, including exact work location, experience, relevant training and education, and skill level. Your recruiter can share more about the specific salary range for the role location or, if the role can be performed remote, the specific salary range for your preferred location, during the hiring process. Waymo employees are also eligible to participate in Waymo's discretionary annual bonus program, equity incentive plan, and generous Company benefits program, subject to eligibility requirements. Salary Range $204,000-$259,000 USD

Waymo is an autonomous driving technology company with the mission to be the world's most trusted driver. Since its start as the Google Self-Driving Car Project in 2009, Waymo has focused on building the Waymo Driver-The World's Most Experienced Driver -to improve access to mobility while saving thousands of lives now lost to traffic crashes. The Waymo Driver powers Waymo's fully autonomous ride-hail service and can also be applied to a range of vehicle platforms and product use cases. The Waymo Driver has provided over ten million rider-only trips, enabled by its experience autonomously driving over 100 million miles on public roads and tens of billions in simulation across 15+ U.S. states. The Planner Evaluation team works on one of the key challenges in autonomous driving: measuring and improving the quality of the software that drives the car. We are looking for experienced data-minded software engineers and data scientists to help us improve how we characterize and evaluate changes to the Onboard software stack (Planner, Perception, etc). If you are passionate about autonomous vehicles and how to use rich, complex data to drive decision making, this is the role for you! This role follows a hybrid work schedule and reports to an Engineering Manager. You will: Develop signals to measure the performance and driving qualities of the Waymo driver, using a range of techniques including statistics, math, physics, algorithms and machine learning. Use simulation creatively and mine real world driving logs to measure driving performance. Design and implement methods to make a stronger connection between onboard software changes and simulated outcomes. Champion code health and best practices in a large and complex code base. Analyze data and make recommendations on how to improve metric quality and interpretability. Collaborate with other engineers, data scientists, statisticians and the leadership team to deliver evaluation products and help make data driven decisions. You have: BS in Computer Science, Robotics, Statistics, Physics, Math or another quantitative area Strong self-motivation to navigate complex systems and pursue open-ended problems to completion 2-3 years of industry experience with Navigating and modifying a large code base containing a variety of languages, such as C++, Python and SQL Performing statistical analyses Building data processing pipelines Writing, reviewing, and merging code following industry standards for code health and maintainability Quant/data fluency is a top requirement We prefer: Experience coding in C++ Experience with ML Experience with A/B experiment infrastructure Experience building and validating metrics to measure quality in complex systems Exposure to ad-hoc data analysis tools for rapid modeling and prototyping Experience working in the AV industry The expected base salary range for this full-time position across US locations is listed below. Actual starting pay will be based on job-related factors, including exact work location, experience, relevant training and education, and skill level. Your recruiter can share more about the specific salary range for the role location or, if the role can be performed remote, the specific salary range for your preferred location, during the hiring process. Waymo employees are also eligible to participate in Waymo's discretionary annual bonus program, equity incentive plan, and generous Company benefits program, subject to eligibility requirements. Salary Range $204,000-$259,000 USD

Waymo is an autonomous driving technology company with the mission to be the world's most trusted driver. Since its start as the Google Self-Driving Car Project in 2009, Waymo has focused on building the Waymo Driver-The World's Most Experienced Driver -to improve access to mobility while saving thousands of lives now lost to traffic crashes. The Waymo Driver powers Waymo's fully autonomous ride-hail service and can also be applied to a range of vehicle platforms and product use cases. The Waymo Driver has provided over ten million rider-only trips, enabled by its experience autonomously driving over 100 million miles on public roads and tens of billions in simulation across 15+ U.S. states. The Predictive Planning team (PrePlan) develops and deploys state-of-the-art machine learning solutions that predict the future state of the world and plan the Waymo Driver's behavior. Our mission is to transform Waymo's unprecedented scale of driving data into robust, generalizable, and performant deep neural networks. These models enable the autonomous vehicle to navigate complex environments safely and efficiently. You will: Design, implement, and evaluate state-of-the-art generative models for autonomous vehicle planning and prediction Develop next-generation, ML-powered systems that enhance the capabilities of the ML driver and accelerate the rapid scaling of Waymo's business Translate open-ended, real-world driving challenges into well-defined machine learning problems, applying cutting-edge techniques, including foundation models and reinforcement learning Write high-quality, scalable, and thoroughly tested code to bring cutting-edge research into production Partner with world-class researchers, engineers, and product managers to deliver safe and smooth planning behaviors, and publish findings at top-tier academic venues You have: PhD in Computer Science, Machine Learning, Robotics, a related technical field, or equivalent practical experience A proven track record of publications in top-tier conferences (e.g., NeurIPS, ICML, ICLR, CVPR, ICCV, ECCV, ICRA, IROS, RSS, CoRL, ACL, or EMNLP) Demonstrated impact on the broader ML community through influential research, widely adopted open-source projects, or significant industry contributions Hands-on expertise with modern deep learning frameworks, for example JAX or PyTorch Proficient programming skills in Python and/or C++, coupled with strong analytical and debugging abilities We prefer: Specialized research experience in deep learning, reinforcement learning, causal reasoning, or foundation models Prior industry experience (e.g. internships) in applied ML research or software development Domain expertise in solving motion planning, prediction, or related robotics problems Hands-on experience deploying, evaluating, and maintaining ML-based systems in real-world, production environments The expected base salary range for this full-time position across US locations is listed below. Actual starting pay will be based on job-related factors, including exact work location, experience, relevant training and education, and skill level. Your recruiter can share more about the specific salary range for the role location or, if the role can be performed remote, the specific salary range for your preferred location, during the hiring process. Waymo employees are also eligible to participate in Waymo's discretionary annual bonus program, equity incentive plan, and generous Company benefits program, subject to eligibility requirements. Salary Range $175,000-$215,000 USD

Waymo is an autonomous driving technology company with the mission to be the world's most trusted driver. Since its start as the Google Self-Driving Car Project in 2009, Waymo has focused on building the Waymo Driver-The World's Most Experienced Driver -to improve access to mobility while saving thousands of lives now lost to traffic crashes. The Waymo Driver powers Waymo's fully autonomous ride-hail service and can also be applied to a range of vehicle platforms and product use cases. The Waymo Driver has provided over ten million rider-only trips, enabled by its experience autonomously driving over 100 million miles on public roads and tens of billions in simulation across 15+ U.S. states. The Predictive Planning team (PrePlan) develops and deploys state-of-the-art machine learning solutions that predict the future state of the world and plan the Waymo Driver's behavior. Our mission is to transform Waymo's unprecedented scale of driving data into robust, generalizable, and performant deep neural networks. These models enable the autonomous vehicle to navigate complex environments safely and efficiently. You will: Design, implement, and evaluate state-of-the-art generative models for autonomous vehicle planning and prediction Develop next-generation, ML-powered systems that enhance the capabilities of the ML driver and accelerate the rapid scaling of Waymo's business Translate open-ended, real-world driving challenges into well-defined machine learning problems, applying cutting-edge techniques, including foundation models and reinforcement learning Write high-quality, scalable, and thoroughly tested code to bring cutting-edge research into production Partner with world-class researchers, engineers, and product managers to deliver safe and smooth planning behaviors, and publish findings at top-tier academic venues You have: PhD in Computer Science, Machine Learning, Robotics, a related technical field, or equivalent practical experience A proven track record of publications in top-tier conferences (e.g., NeurIPS, ICML, ICLR, CVPR, ICCV, ECCV, ICRA, IROS, RSS, CoRL, ACL, or EMNLP) Demonstrated impact on the broader ML community through influential research, widely adopted open-source projects, or significant industry contributions Hands-on expertise with modern deep learning frameworks, for example JAX or PyTorch Proficient programming skills in Python and/or C++, coupled with strong analytical and debugging abilities We prefer: Specialized research experience in deep learning, reinforcement learning, causal reasoning, or foundation models Prior industry experience (e.g. internships) in applied ML research or software development Domain expertise in solving motion planning, prediction, or related robotics problems Hands-on experience deploying, evaluating, and maintaining ML-based systems in real-world, production environments The expected base salary range for this full-time position across US locations is listed below. Actual starting pay will be based on job-related factors, including exact work location, experience, relevant training and education, and skill level. Your recruiter can share more about the specific salary range for the role location or, if the role can be performed remote, the specific salary range for your preferred location, during the hiring process. Waymo employees are also eligible to participate in Waymo's discretionary annual bonus program, equity incentive plan, and generous Company benefits program, subject to eligibility requirements. Salary Range $175,000-$215,000 USD

Waymo is an autonomous driving technology company with the mission to be the world's most trusted driver. Since its start as the Google Self-Driving Car Project in 2009, Waymo has focused on building the Waymo Driver-The World's Most Experienced Driver -to improve access to mobility while saving thousands of lives now lost to traffic crashes. The Waymo Driver powers Waymo's fully autonomous ride-hail service and can also be applied to a range of vehicle platforms and product use cases. The Waymo Driver has provided over ten million rider-only trips, enabled by its experience autonomously driving over 100 million miles on public roads and tens of billions in simulation across 15+ U.S. states. Rigorous behavioral evaluation of the Waymo Driver is a critical part of scaling our ride hailing service and achieving Waymo's ambitious goals. In this role, you will lead key initiatives for measuring the quality and trustworthiness of the behavior evaluation portfolio at Waymo, continuously identify and drive opportunities for improving the evaluation and testing methodologies, and partner closely with product and engineering teams to develop scalable solutions for monitoring and enhancing the health of the evaluation ecosystem. You will play a key role to ensure the behavior evaluation at Waymo is efficient, scientifically rigorous, and supporting Waymo's growth priorities. In this hybrid role you will report to a Data Science Lead. You will: Lead a roadmap to develop methodologies and Key Performance Indicators to measure the quality, cost efficiency, and business relevance for various behavior evaluation solutions at Waymo. Directly influence the portfolio of evaluation signals relied on by hundreds of software engineers to ensure their changes in the Waymo Driver are having positive intended impacts. Conduct deep dive analysis to understand performance bottlenecks in current evaluation methodologies, propose and prototype improvements in metrics, sampling strategy, statistical inference, etc. Become an expert in Waymo's evaluation ecosystem for onboard software. Understand how a broad variety of evaluation signals affect Waymo's launch decisions, develop strategies for evaluating trade-offs, and provide actionable insights for designing launch criteria. Collaborate with product and engineering teams to build solutions for assessing Waymo's evaluation portfolio at scale and accelerate the development for new evaluation. Collaborate with owners of various evaluation solutions, develop feedback loops to surface insights on evaluation quality to stakeholders and drive actionable plans for continuous improvement. You have: Degree in a quantitative field (e.g. Statistics, Mathematics, Physics) Either a PhD in a quantitative field and 5+ years of industry experience, or 7+ years of industry experience solving data science problems Solid statistical background. Expertise using advanced statistical methods in an applied setting (e.g., experimentation design, causal inference, etc); familiarity with ML systems/models Demonstrated knowledge of data analysis libraries and packages in Python, R, and/or SQL Strong communication/leadership to address a high surface area across different organizations and products Ability to navigate through ambiguous business requirements and propose a clear technical solution We prefer: PhD in a quantitative field Experience developing production-grade software and tools Experience as the technical lead for a broad data science area. A demonstrated track record of independently driving data science projects to deliver business value Experience with large-scale evaluation frameworks or experimentation/data platform for software development and machine learning systems Experience solving problems related to Autonomous Driving or Ride Hailing The expected base salary range for this full-time position across US locations is listed below. Actual starting pay will be based on job-related factors, including exact work location, experience, relevant training and education, and skill level. Your recruiter can share more about the specific salary range for the role location or, if the role can be performed remote, the specific salary range for your preferred location, during the hiring process. Waymo employees are also eligible to participate in Waymo's discretionary annual bonus program, equity incentive plan, and generous Company benefits program, subject to eligibility requirements. Salary Range $238,000-$302,000 USD

About Crunchyroll Founded by fans, Crunchyroll delivers the art and culture of anime to a passionate community. We super-serve over 100 million anime and manga fans across 200+ countries and territories, and help them connect with the stories and characters they crave. Whether that experience is online or in-person, streaming video, theatrical, games, merchandise, events and more, it's powered by the anime content we all love. Join our team, and help us shape the future of anime! About the role In the role of Senior Machine Learning Engineer, you will report to the Director of Data Science and Machine Learning in the Center for Data and Insights, working from Los Angeles or San Francisco area in California. In this Machine Learning Engineer role focused on Algorithm Development and End-to-End Production at our VOD streaming company, you will lead the creation and deployment of scalable ML models to detect account sharing fraud, drawing from user behavior data like geolocation, concurrent sessions, and device profiles. This position is essential for collaborating with data scientists, product analysts, and data engineers, translating research prototypes into production systems that enhance detection accuracy while minimizing user disruption, aligning with proven strategies from streaming giants to boost subscriber growth. We work a hybrid schedule, in-office three days a week; Tuesday, Wednesday, and Thursday. Core Areas of Responsibility Design and implement machine learning algorithms, including anomaly detection models, to identify unauthorized account sharing in real-time. Develop end-to-end ML pipelines for data preprocessing, model training, evaluation, and deployment using cloud platforms. Optimize models for performance, scalability, and efficiency to handle high-volume streaming data. Integrate ML solutions with existing systems via APIs and establish monitoring for model drift and retraining. Collaborate on A/B testing and iteration to refine algorithms based on feedback and evolving evasion tactics. About You Experience: You bring 8+ years of hands-on experience in ML engineering, with a track record in fraud or anomaly detection systems, ideally in online, consumer facing products and services. Technical Skills: Expert in Python and frameworks like TensorFlow, PyTorch, or XGBoost, with proficiency in MLOps tools such as MLflow, Docker, and cloud services like AWS SageMaker, Databricks MLFlow, etc. Experience with cloud computing infra and tooling such as AWS/GCP. Cross-Functional Collaborations: Experienced in working with data scientists, engineers, and product teams to deploy models that support business goals like revenue optimization. Communication Skills: Strong ability to document technical processes and explain algorithm decisions to diverse stakeholders for seamless integration. Education Background: Possess a master's degree in computer science, machine learning, or a related quantitative field, with certifications in cloud ML being a plus. Communication Skills: Excellent verbal and written communication skills, with the ability to convey complex technical concepts to non-technical stakeholders. Educational Background: Graduate degree (MS or PhD) in Computer Science, Statistics, or a related field. About the Team Our team is composed of passionate Machine Learning Engineers and Data Scientists who have already made a significant impact across our product offerings, content strategy, and user engagement metrics. As we expand our scope, our team is poised to become the cornerstone of innovation and growth across various business verticals within the company. We are dedicated to leveraging advanced machine learning techniques to continue transforming how users interact with and enjoy our offering of video contents and all other services. Why you will love working at Crunchyroll In addition to getting to work with fun, passionate and inspired colleagues, you will also enjoy the following benefits and perks: Receive a great compensation package including salary plus performance bonus earning potential, paid annually. Flexible time off policies allowing you to take the time you need to be your whole self. Generous medical, dental, vision, STD, LTD, and life insurance Health Saving Account HSA program Health care and dependent care FSA 401(k) plan, with employer match Employer paid commuter benefit Support program for new parents Pet insurance and some of our offices are pet friendly! The Pay Range for this position is listed. Actual pay will vary based on factors including, but not limited to location, experience, and performance. The range listed is just one component of Crunchyroll's Total Rewards offerings for employees. Other rewards may include performance bonuses, employer matched retirement savings, time-off programs, and progressive health benefits and perks. Pay Transparency - Los Angeles, CA $185,000-$225,000 USD The Pay Range for this position is listed. Actual pay will vary based on factors including, but not limited to location, experience, and performance. The range listed is just one component of Crunchyroll's Total Rewards offerings for employees. Other rewards may include performance bonuses, employer matched retirement savings, time-off programs, and progressive health benefits and perks. Pay Transparency - San Francisco, CA $205,000-$240,000 USD About our Values We want to be everything for someone rather than something for everyone and we do this by living and modeling our values in all that we do. We value Courage. We believe that when we overcome fear, we enable our best selves. Curiosity. We are curious, which is the gateway to empathy, inclusion, and understanding. Kaizen. We have a growth mindset committed to constant forward progress. Service. We serve our community with humility, enabling joy and belonging for others. Our commitment to diversity and inclusion Our mission of helping people belong reflects our commitment to diversity & inclusion. It's just the way we do business. We are an equal opportunity employer and value diversity at Crunchyroll. Pursuant to applicable law, we do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. Crunchyroll, LLC is an independently operated joint venture between US-based Sony Pictures Entertainment, and Japan's Aniplex, a subsidiary of Sony Music Entertainment (Japan) Inc., both subsidiaries of Tokyo-based Sony Group Corporation. Questions about Crunchyroll's hiring process? Please check out our Hiring FAQs: Please refer to our Candidate Privacy Policy for more information about how we process your personal information, and your data protection rights: Please beware of recent scams to online job seekers. Those applying to our job openings will only be contacted directly email account.

About Crunchyroll Founded by fans, Crunchyroll delivers the art and culture of anime to a passionate community. We super-serve over 100 million anime and manga fans across 200+ countries and territories, and help them connect with the stories and characters they crave. Whether that experience is online or in-person, streaming video, theatrical, games, merchandise, events and more, it's powered by the anime content we all love. Join our team, and help us shape the future of anime! About the role In the role of Senior Machine Learning Engineer, you will report to the Director of Data Science and Machine Learning in the Center for Data and Insights, working from Los Angeles or San Francisco area in California. In this Machine Learning Engineer role focused on Algorithm Development and End-to-End Production at our VOD streaming company, you will lead the creation and deployment of scalable ML models to detect account sharing fraud, drawing from user behavior data like geolocation, concurrent sessions, and device profiles. This position is essential for collaborating with data scientists, product analysts, and data engineers, translating research prototypes into production systems that enhance detection accuracy while minimizing user disruption, aligning with proven strategies from streaming giants to boost subscriber growth. We work a hybrid schedule, in-office three days a week; Tuesday, Wednesday, and Thursday. Core Areas of Responsibility Design and implement machine learning algorithms, including anomaly detection models, to identify unauthorized account sharing in real-time. Develop end-to-end ML pipelines for data preprocessing, model training, evaluation, and deployment using cloud platforms. Optimize models for performance, scalability, and efficiency to handle high-volume streaming data. Integrate ML solutions with existing systems via APIs and establish monitoring for model drift and retraining. Collaborate on A/B testing and iteration to refine algorithms based on feedback and evolving evasion tactics. About You Experience: You bring 8+ years of hands-on experience in ML engineering, with a track record in fraud or anomaly detection systems, ideally in online, consumer facing products and services. Technical Skills: Expert in Python and frameworks like TensorFlow, PyTorch, or XGBoost, with proficiency in MLOps tools such as MLflow, Docker, and cloud services like AWS SageMaker, Databricks MLFlow, etc. Experience with cloud computing infra and tooling such as AWS/GCP. Cross-Functional Collaborations: Experienced in working with data scientists, engineers, and product teams to deploy models that support business goals like revenue optimization. Communication Skills: Strong ability to document technical processes and explain algorithm decisions to diverse stakeholders for seamless integration. Education Background: Possess a master's degree in computer science, machine learning, or a related quantitative field, with certifications in cloud ML being a plus. Communication Skills: Excellent verbal and written communication skills, with the ability to convey complex technical concepts to non-technical stakeholders. Educational Background: Graduate degree (MS or PhD) in Computer Science, Statistics, or a related field. About the Team Our team is composed of passionate Machine Learning Engineers and Data Scientists who have already made a significant impact across our product offerings, content strategy, and user engagement metrics. As we expand our scope, our team is poised to become the cornerstone of innovation and growth across various business verticals within the company. We are dedicated to leveraging advanced machine learning techniques to continue transforming how users interact with and enjoy our offering of video contents and all other services. Why you will love working at Crunchyroll In addition to getting to work with fun, passionate and inspired colleagues, you will also enjoy the following benefits and perks: Receive a great compensation package including salary plus performance bonus earning potential, paid annually. Flexible time off policies allowing you to take the time you need to be your whole self. Generous medical, dental, vision, STD, LTD, and life insurance Health Saving Account HSA program Health care and dependent care FSA 401(k) plan, with employer match Employer paid commuter benefit Support program for new parents Pet insurance and some of our offices are pet friendly! The Pay Range for this position is listed. Actual pay will vary based on factors including, but not limited to location, experience, and performance. The range listed is just one component of Crunchyroll's Total Rewards offerings for employees. Other rewards may include performance bonuses, employer matched retirement savings, time-off programs, and progressive health benefits and perks. Pay Transparency - Los Angeles, CA $185,000-$225,000 USD The Pay Range for this position is listed. Actual pay will vary based on factors including, but not limited to location, experience, and performance. The range listed is just one component of Crunchyroll's Total Rewards offerings for employees. Other rewards may include performance bonuses, employer matched retirement savings, time-off programs, and progressive health benefits and perks. Pay Transparency - San Francisco, CA $205,000-$240,000 USD About our Values We want to be everything for someone rather than something for everyone and we do this by living and modeling our values in all that we do. We value Courage. We believe that when we overcome fear, we enable our best selves. Curiosity. We are curious, which is the gateway to empathy, inclusion, and understanding. Kaizen. We have a growth mindset committed to constant forward progress. Service. We serve our community with humility, enabling joy and belonging for others. Our commitment to diversity and inclusion Our mission of helping people belong reflects our commitment to diversity & inclusion. It's just the way we do business. We are an equal opportunity employer and value diversity at Crunchyroll. Pursuant to applicable law, we do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. Crunchyroll, LLC is an independently operated joint venture between US-based Sony Pictures Entertainment, and Japan's Aniplex, a subsidiary of Sony Music Entertainment (Japan) Inc., both subsidiaries of Tokyo-based Sony Group Corporation. Questions about Crunchyroll's hiring process? Please check out our Hiring FAQs: Please refer to our Candidate Privacy Policy for more information about how we process your personal information, and your data protection rights: Please beware of recent scams to online job seekers. Those applying to our job openings will only be contacted directly email account.

MORSE Corp is an employee owned, small business based in Cambridge, MA, Arlington, VA, and Seattle, WA with a history of fielding cutting-edge technology. MORSE boasts a specially selected team of scientists, engineers, and software developers to deliver best-in-class technical solutions that solve difficult multidisciplinary problems faced by the US National Security Ecosystem. MORSE is seeking highly motivated and talented Python Software Engineers to join our innovative team, supporting various projects that provide critical AI, machine learning, simulation, situational awareness, and mission planning capabilities to a diverse range of Department of Defense (DoD) customers. As a Python Software Engineer at MORSE, you will have the opportunity to work on cutting-edge technology, contributing to the success of our applications and making a meaningful impact on our customers. You will collaborate with a teams of engineers and data scientists to design, develop, and deliver high-quality software products that meet the highest standards of quality, scalability, and reliability. Responsibilities: Design and develop scalable, efficient, and reliable software applications using Python Participate in design reviews, code reviews, and pair programming to ensure high-quality code and knowledge sharing Stay up-to-date with the latest software engineering trends, tools, and technologies Collaborate with cross-functional teams to deliver high-quality software products, ensuring seamless integration and deployment Contribute to the development of new codebases that emphasize object-orientation, modularity, and maintainability Requirements: US citizenship and the ability to obtain a U.S. security clearance (Secret, Top Secret, or TS/SCI) Expertise in Python Strong understanding of relational databases and version control systems (e.g., Git) Experience with Docker, Docker-compose, or Kubernetes Familiarity with Agile development methodologies (Scrum or Kanban) and microservice architecture Strong communication skills and self-motivation Bachelor's or Master's degree in Computer Science or a related field (or significant professional experience) 5+ years of software development experience Preferred Qualifications: Experience with cloud computing platforms (AWS, Azure, GCP) Knowledge of Spark or PySpark Background in mathematics or computer science Experience with DevOps tools and practices Familiarity with containerization technologies Experience or desire to lead technical teams MORSE Corp's salary range for this role carefully considers a wide range of compensation factors, including but not limited to, prior experience, education, skills and expertise, location, internal equity, and other factors that are job related and consistent with business need. Therefore, final offer amounts may vary from the amount stated. Depending on role eligibility, total compensation may also include bonus, stock, 401(k) match, paid time off, medical, dental, vision and life insurance. Employees also receive 10 paid holidays per year. MORSE maintains an "open" leave policy that does not restrict exempt, regular full-time employees to a specific number of paid sick or vacation days. However, this policy is not an "unlimited" paid leave policy. Compensation $90,000-$210,000 USD The team at MORSE takes pride in being the smart team that is easy to work with. We focus on steady, long-term success with an emphasis on exceptionalism and delivering mission-critical impact to our customers. For more information, please visit .