Top Tech Jobs & Startup Jobs

Develop learning-based behavior policies for autonomous vehicles by integrating multimodal perception semantics, building simulation benchmarks and counterfactual suites, and inspecting 3D driving trajectories. The intern will apply reinforcement learning, imitation learning, trajectory forecasting, and deep learning methods while collaborating on Waymo's autonomous driving technology.

Lead the Site Reliability Engineering team responsible for Waymo’s release and pipeline infrastructure. Own observability, incident response, capacity planning, on-call operations, software hardening, playbooks, and continuous reliability improvements. Investigate novel production events, contribute to system architecture, and partner across engineering organizations to improve large-scale software delivery systems supporting autonomous vehicles. Manage organizational growth, including hiring and developing additional engineers.

PhD intern will improve causal and predictive pricing models using feature engineering, regularization, time series estimation, and loss quantification. The role involves applying causal inference, econometrics, predictive modeling, Python, and SQL to support pricing decisions and operational efficiency at an autonomous driving company.

Supports ML infrastructure for autonomous driving by maintaining large multimodal datasets and feature data, improving workflows, and identifying user and agent use cases. The intern develops systems for machine learning training and inference, using Python or C++ and distributed systems. Preferred experience includes feature extraction, distributed storage, TensorFlow, JAX, deep learning, autonomous driving, or robotics. The role is hybrid and requires current Master's or PhD enrollment.

Drive cross-functional execution of onboard autonomous driving and machine learning programs. Manage schedules, risks, dependencies, milestones, and stakeholder communications across engineering, research, product, and release management. Contribute to strategic planning and technical roadmaps for foundation models, resolve roadblocks, and report program progress and KPIs to leadership. The role requires technical program management experience in software environments and familiarity with machine learning models, training pipelines, and evaluation frameworks.

Software engineering intern developing features that improve autonomous driving behavior. The role involves integrating and validating large machine learning models in real-time production systems, collaborating with onboard engineers, and applying software engineering, robotics, computer vision, and motion-planning techniques.

Analyze real-world and simulated autonomous-driving data, validate safety and reachability metrics against expert evaluations, investigate edge cases, and optimize model trade-offs. Collaborate cross-functionally to integrate quantitative safety signals into event triage and release-readiness workflows.

Conduct machine learning research for autonomous-driving simulation realism. Responsibilities include contributing to existing projects, implementing research ideas, and running training and evaluation experiments. The role requires Python programming and deep learning experience with TensorFlow, JAX, or PyTorch. Preferred experience includes attention mechanisms, autoregressive architectures, diffusion for multimodal data, autonomous driving, and robotics.

Conduct exploratory research, evaluate theories statistically, present findings to focus groups, and design and implement software. The intern will work on autonomous driving technology while collaborating with technical teams. Required qualifications include current PhD enrollment in computer science or a related technical field, Python programming fluency, statistical knowledge, and basic machine learning knowledge.

Analyze deep multimodal perception models, validate performance using autonomous vehicle datasets and simulations, train and fine-tune neural networks, assess data quality, and improve data pipelines. The role requires Python programming, deep learning experience, and knowledge of modern neural architectures for computer vision or multimodal perception. Preferred qualifications include research publications, robotics or autonomous-driving perception experience, and large-scale system evaluation expertise.