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Lead Data Engineer designing, building, and scaling data ingestion, anonymization, and enrichment pipelines for a library of real-world business workflow datasets, using Python, SQL, and orchestration tools like Airflow/Dagster/dbt.
Staff Software Engineer on Google Cloud's AI/ML team, leading design and optimization of large-scale ML infrastructure, model deployment, and data processing strategies for Vertex AI and related platforms.
Research and develop machine learning models for autonomous vehicle behavior planning and prediction, deploying solutions on real-world self-driving vehicles using Python and C++.
Research and develop generative AI models (diffusion, flow-matching) for autonomous vehicle planning, integrating foundation models and reinforcement learning to improve decision-making and real-world deployment.
Who We Are Nuro believes self-driving vehicles are the most immediate and profound opportunity for AI to drive positive change in the physical world. Safer streets, more time for what matters, and easier access to the…
Develop and implement ML-based prediction and planning algorithms for Nuro's Level 4 autonomous driving platform using Python, C++, and deep learning techniques like reinforcement learning and transformers.
Develops advanced generative AI models (e.g., diffusion, flow matching) for autonomous vehicle planning, optimizing for safety, efficiency, and real-world deployment. Focuses on end-to-end model lifecycle, including research, productization, and collaboration with engineering teams.
Build and maintain ML infrastructure for Nuro’s autonomous driving models, including distributed GPU training, data pipelines, and Kubernetes-native orchestration to enable safe, scalable self-driving vehicles.
Build and maintain ML infrastructure for Nuro’s autonomous driving models, including distributed GPU training, data pipelines, and orchestration systems to keep autonomy development running smoothly.
Senior Software Engineer on Google Maps Ads ML, building and improving ML models for ad retrieval, pre/post-click quality, and pricing using Python or C++ with strong backend engineering skills.
About us We are building AI systems that can reason, use tools, and complete meaningful work in the real world. Our team works across model post-training, reinforcement-learning infrastructure, large-scale training,…
This is a master's thesis position focused on researching resilience against AI-based cyberattacks by developing a game-theoretic framework where AI agents act as both attacker and defender. The student will use reinforcement learning to prototype and evaluate defensive strategies for software systems.
Who we are Helsing develops artificial intelligence-enabled capabilities to protect and defend democracies. We are growing our US operations, cultivating an ambitio u s and committed team of mission-driven…
Builds mid-training strategies for large multimodal AI models to improve reasoning, planning, and tool-use capabilities at scale.
Build and improve multimodal AI models that understand and generate text, images, and video for real-time user experiences.
Build post-training strategies (RL-based) to train coding and agentic AI models, including reward modeling, simulation environments, and evaluation frameworks.
Agility’s commercially deployed humanoids operate alongside teams in warehouses, manufacturing facilities, and distribution centers—tackling physically demanding and repetitive tasks while enabling workers to focus on…
About the Company At Torc, we have always believed that autonomous vehicle technology will transform how we travel, move freight, and do business. A leader in autonomous driving since 2007, Torc has spent over a decade…
Lead the AI-powered robotics product roadmap for Apollo, integrating and fine-tuning models while balancing capability, safety, and commercialization for industrial and future applications.
Develop evaluations, benchmarks, and diagnostic methods to identify and analyze failure modes in frontier LLMs and multimodal models, applying post-training expertise (SFT, RLHF, reward modeling) and publishing research at top AI conferences.
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