Waymo

About the Company

On the journey to be the world's most trusted driver. With the Waymo Driver, we can improve mobility while saving thousands of lives. Download the Waymo One app and ride today.

Waymo reaches out to candidates from official channels only (e.g. directly from @waymo.com email addresses, or through our recruiters or sourcers who are noted as such on LinkedIn). We do not contact candidates about career opportunities through instant messaging apps like Telegram, email addresses from domains other than waymo.com (such as Gmail addresses), direct messages on Twitter, Facebook, and Instagram, or text messages. Visit waymo.com to check out our official job listings.

Listed Jobs

Company Name

Waymo

Job Title

Research Scientist, World Modeling

Job Description

**Job Title** Research Scientist, World Modeling **Role Summary** Design and implement generative world‑modeling solutions that simulate future states for autonomous vehicle agents. Build and maintain scalable data pipelines, devise robust evaluation methods, conduct cutting‑edge research, and communicate findings to both technical and non‑technical audiences. **Expectations** - Minimum 3 years of hands‑on experience with deep learning and generative models. - Strong Python programming skills and proficiency with major ML frameworks (JAX, TensorFlow, PyTorch). - Ability to work in a hybrid environment, collaborate across teams, and produce research deliverables (reports, publications). **Key Responsibilities** - Develop generative models to predict future world observations for embodied agents. - Create and sustain scalable pipelines processing multimodal data sources. - Design evaluation strategies; analyze model scaling, architecture ablations, and downstream impact. - Produce technical documentation, presentations, and potential academic publications. - Communicate research motivations and results to diverse stakeholder groups. - Partner with AI Foundations and other Alphabet research teams on AI projects. **Required Skills** - Deep learning and generative modeling (e.g., diffusion, autoregressive). - Python development; experience with JAX, TensorFlow, or PyTorch. - Data pipeline engineering and large‑scale data handling. - Research methodology, experimental design, and quantitative analysis. - Effective written and verbal communication for technical and non‑technical audiences. **Required Education & Certifications** - Bachelor’s or Master’s degree in Computer Science, Artificial Intelligence, Machine Learning, Deep Learning, or a closely related discipline, or equivalent practical experience. - *Preferred*: PhD in a related field and publications in top‑tier conferences (e.g., CVPR, ICCV, ECCV, ICLR, ICML, NeurIPS, IROS, CoRL).

San francisco, United states

On site

Junior

08-09-2025

Company Name

Waymo

Job Title

Data Scientist

Job Description

**Job title:** Data Scientist **Role Summary:** Design and implement evaluation frameworks to measure performance, safety, and quality of autonomous vehicle systems and simulations. Analyze large-scale real‑world and synthetic data, develop new metrics, execute statistical research, and communicate insights to senior stakeholders to inform product and deployment decisions. **Expectations:** - Lead end‑to‑end evaluation design for Waymo Driver and simulation suites. - Develop advanced statistical methods for rare events, rate estimation, and hybrid real/synthetic data integration. - Collaborate cross‑functionally with product, engineering, and simulation teams to translate analytical findings into actionable product improvements. - Present clear, data‑driven recommendations to senior leadership and influence deployment readiness. **Key Responsibilities:** - Build and maintain metrics, dashboards, and reporting pipelines for autonomous driving performance. - Conduct trend analysis, anomaly detection, and root‑cause investigations on on‑road and simulated datasets. - Create simulation‑specific evaluation tools and benchmark datasets. - Design and execute statistical experiments and A/B tests to validate algorithmic or system changes. - Draft technical reports and presentations for internal stakeholders. - Mentor junior analysts and coordinate with ML teams on model evaluation. **Required Skills:** - Advanced statistical modeling (e.g., Bayesian inference, survival analysis, rare‑event modeling). - Experience with machine learning system evaluation and metrics design. - Proficiency in Python (pandas, NumPy, SciPy, scikit‑learn), SQL, and/or R; comfortable with large‑scale data processing. - Strong analytical reasoning, problem‑solving, and data‑visualization (e.g., matplotlib, seaborn). - Effective written and verbal communication skills for presenting complex findings to non‑technical audiences. **Required Education & Certifications:** - Bachelor’s degree in a quantitative discipline (Statistics, Mathematics, Physics, Computer Science) required; Master’s or Ph.D. preferred. - Certified Data Science or Statistics coursework (e.g., Coursera, edX) is a plus.

Mountain view, United states

Hybrid

Junior

12-09-2025

Company Name

Waymo

Job Title

Software Engineer - Labeled Data

Job Description

Job title: Software Engineer - Labeled Data Role Summary: Develop and optimize data labeling tools for autonomous driving and ML model training, collaborating cross-functionally to design efficient data solutions. Expactations: Deliver scalable labeling technologies, integrate automation to enhance human productivity, and align labeling systems with advanced ML workflows. Key Responsibilities: - Design 3D annotation tools for autonomous driving data pipelines. - Build workforce management systems for distributed labeler teams. - Partner with ML teams to translate data requirements into actionable label formats. - Collaborate with UX teams to implement production-ready labeling applications. - Integrate ML automation to improve label quality and efficiency. Required Skills: - 3+ years of experience creating human labeling/review platforms (e.g., ML annotation, content moderation). - Proficiency in Typescript and frontend frameworks. - Hands-on experience with WebGL using Three.js or equivalent libraries. Required Education & Certifications: Bachelor’s degree in Computer Science, Engineering, or related field.

Mountain view, United states

On site

Junior

13-09-2025

Company Name

Waymo

Job Title

2026 Summer Intern, PhD, Machine Learning Engineer, Simulation

Job Description

**Job Title:** 2026 Summer Intern – PhD, Machine Learning Engineer, Simulation **Role Summary:** Support the Waymo Simulation team in enhancing realistic virtual environments for autonomous‑vehicle testing. Apply cutting‑edge AI (generative models, multimodal perception, reinforcement learning) to improve sensor data synthesis, world understanding, and agent control. Conduct research implementation, model training, and evaluation within a fast‑paced, collaborative setting. **Expectations:** - Enrolled in a Ph.D. program in Computer Science, Machine Learning, Electrical Engineering, or a related field. - Ability to work independently and collaboratively on research‑driven engineering tasks. - Strong Python programming skills and familiarity with deep‑learning frameworks. **Key Responsibilities:** - Develop and integrate advanced AI models (e.g., generative AI, multimodal, RL) into Waymo’s simulation pipelines. - Implement research ideas, run large‑scale training jobs, and perform rigorous evaluation experiments. - Contribute to improving sensor data realism, world representation, and controllable agent behavior. - Document code, experiments, and results; present findings to the team. **Required Skills:** - Proficient Python programming. - Deep‑learning experience with TensorFlow, JAX, or PyTorch. - Understanding of AI model architectures (attention mechanisms, diffusion, autoregressive). - Ability to design and run experiments on high‑performance compute resources. **Preferred Skills (optional):** - Hands‑on work with vision‑language or large language models. - Experience in autonomous‑driving or robotics domains. **Required Education & Certifications:** - Currently pursuing a Ph.D. in Computer Science, Machine Learning, Electrical Engineering, or a closely related technical discipline.

London, United kingdom

On site

Fresher

17-09-2025