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Develops and deploys machine-learning recipes for autonomous-driving agents, working with large-scale data, evaluation pipelines, and foundation models to improve safety and realism.
Build and scale ML systems that continuously improve autonomous vehicle perception models using active learning, data curation, and large-scale pipelines.
Develops and optimizes firmware, drivers, and compute architectures for Waymo’s high-performance autonomous vehicle hardware, focusing on AI workloads and custom silicon.
Staff Tech Lead ML Engineer on Waymo's Perception team, designing multi-sensor model architectures for autonomous vehicle scene understanding and optimizing models for onboard compute using Python, C++, and frameworks like PyTorch/JAX/TensorFlow.
Senior ML engineer on Waymo's Special Vehicle Compliance team building multimodal perception for autonomous vehicles: training multi-task deep learning models (PyTorch/JAX) that fuse camera, LiDAR, and audio, developing high-resolution vision transformer backbones, and running large-scale data mining/auto-labeling pipelines, with model optimization for onboard accelerator inference.
Senior ML engineer on Waymo's Special Vehicle Compliance team, building learned driving policies that bridge perception and planning for autonomous vehicles. Day-to-day involves training, evaluating, and deploying decision-making models into production using PyTorch/JAX, RL/imitation learning, and closed-loop simulation.
Waymo is hiring a Sr Staff Tech Lead / ML Engineer for its Perception team to set the technical roadmap for next-generation multi-modal perception of the Waymo Driver - architecting scalable sensor-fusion models, optimizing them for onboard hardware, leading cross-functional initiatives, and mentoring engineers. Core stack: Python, C++, and modern ML frameworks like PyTorch, JAX, and TensorFlow.
Senior Java Developer in Kraków (onsite) building a Transfer Agency Investor Onboarding system via recruitment firm DCG Poland: designing and testing multi-tier service-oriented web apps, integrating in-house systems with vendor solutions, and supporting deployment and UAT. Core stack: Java, Spring MVC/Spring Boot, JMS, JPA, SOAP/REST web services, and relational databases.
About the Role This is a founding-level ML Research Engineer opportunity at an early-stage AI/ML data and services company, working directly with the founding team to build and scale the AI research backbone from the…
Build AI-powered 3D tools to automate tedious modeling steps like retopology and texturing, enabling artists to work faster while maintaining game-ready quality.
Design and ship ML tools to accelerate animation workflows like motion synthesis, retargeting, and rig wrangling, integrating them into animator pipelines at a major game studio.
Build audio ML tools for Riot Games' sound designers to streamline workflows, with a focus on generative audio and voice conversion. Core technologies: Python, PyTorch, TensorFlow, audio processing, speech ML.
Research Engineer at Datadog’s AI lab in Paris builds and scales multimodal AI systems for cloud observability, training world models and autonomous agents using PyTorch, Ray, and GPU clusters.
Business Alliance HR is hiring a mid-level AI/Machine Learning Engineer for a Jordan-based biotech/computational biology company. The engineer applies representation learning and predictive modeling to structured biological data, translating research papers into prototypes and shipping production ML systems in Python (PyTorch/TensorFlow/JAX).
Business Alliance HR is recruiting a Senior AI/Machine Learning Engineer for a Jordan-based high-tech company in biotechnology, computational biology, and applied AI. The engineer reads research, prototypes representation-learning and predictive models on structured biological data, and ships them to production using Python and frameworks like PyTorch, TensorFlow, or JAX.
On behalf of our client, we are seeking a highly skilled Machine Learning Engineer to join their team in Al Khobar. The role is responsible for designing, developing, and productionizing machine learning algorithms for…
Latitude AI () is building the future of Ford’s autonomy roadmap to make travel safer, less stressful, and more enjoyable for everyone. Bringing this vision to scale, our fully in-house developed hands-free ADAS…
Location: Woodlawn, MD Security Clearance: Must be able to obtain a Public Trust Job Type: Full-Time Target Salary Range*: $134,000 - $175,000 *This represents the potential salary range for this position depending on…
Responsibilities: Develop, optimize, and deploy lightweight machine learning models for edge AI applications, particularly for audio processing. Implement and optimize ML models on embedded platforms, including FPGA…
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