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Develops ultra-realistic simulation environments for autonomous driving using machine learning, focusing on generative AI and foundation models to enhance the Waymo Driver's performance.
Machine Learning (ML) Engineer, Ranking & Retrieval, Machine Learning (ML) and Artificial Intelligence (AI) Required, Work From Home The Machine Learning (ML) Engineer will build and improve Machine Learning (ML)…
Applied Machine Learning (ML) Engineer, Machine Learning (ML) and Artificial Intelligence (AI) Required, Work From Home The Applied Machine Learning (ML) Engineer will build and improve Machine Learning (ML) systems…
ML Engineer improving automatic speech recognition for Kiefer's Sophea Meet: training/fine-tuning ASR models on real meeting audio, building benchmarks and error analysis, and improving production inference (accuracy, latency, cost). Core stack is Python with PyTorch/JAX/TensorFlow; English first, Greek next.
ML engineer improving the agent and long-context LLM capabilities behind Kiefer's AI products: runs post-training experiments (SFT, preference optimization, RL), builds benchmarks and verifiers for multi-step agents, curates training data, and hardens inference for production. Core stack is Python with PyTorch/JAX/TensorFlow.
ML Engineer focused on making KIEFER's language models work well for Polish users: defining use cases, measuring model quality, building Polish datasets and evaluations, and improving models via fine-tuning/post-training. Core stack is Python with ML frameworks (PyTorch/JAX/TensorFlow) plus production ML practices like regression testing and monitoring.
Designs and deploys ML models to automate high-definition map creation for autonomous driving, using computer vision and generative AI techniques.
Develops and optimizes large-scale vision-language models for autonomous vehicle perception, training pipelines on multimodal sensor data to improve real-world driving decisions.
Develops and deploys machine learning models for autonomous vehicle prediction and planning, using deep learning frameworks to improve navigation safety and efficiency.
Research Scientist designs and builds deep-learning models for autonomous-vehicle planning and prediction, turning real-world driving challenges into robust ML systems and publishing findings.
Senior ML Engineer builds and scales systems to evaluate autonomous driving behavior using large-scale models, simulation, and distributed training in Mountain View.
Designs and optimizes large-scale machine learning pipelines for vision-language models to improve autonomous vehicle perception, using Python and deep learning frameworks.
Senior ML Engineer builds and optimizes high-performance inference engines for autonomous vehicle ML models, balancing real-time onboard constraints with offboard data center demands using frameworks like JAX, XLA, and CUDA.
Develops and refines algorithms for autonomous vehicle motion planning, ensuring safe and predictable driving behavior in complex real-world scenarios using C++ and data pipelines.
Senior engineer building AI/ML infrastructure for autonomous-driving simulations, scaling multi-billion-parameter foundation models on large distributed systems.
Senior Software Engineer at Waymo optimizing distributed ML training pipelines for autonomous driving models using TensorFlow, JAX, and Grain.
Senior/Staff ML Engineer at Waymo building ultra-realistic 3D/4D world models and generative systems for autonomous vehicle simulation using advanced ML techniques like diffusion models and VLMs.
Lead the design and development of machine learning systems to evaluate and improve Waymo's autonomous driving technology, focusing on reinforcement learning, generative models, and large-scale simulation workflows.
Leads the design and implementation of evaluation systems for large vision and language models used in autonomous driving, building benchmarks to assess model quality, safety, and realism.
