Senior/Staff Machine Learning Engineer
Key Skills for This Role
Full Job Posting
Responsibilities
- Design and implement machine learning solutions across Dexterity’s robotics stack, including but not limited to perception, decision-making, action scoring, and predictive modeling
- Own the full ML development cycle for these solutions: data curation, labeling, training, evaluation, deployment, and iteration
- Build performant training and inference pipelines using PyTorch, with production-readiness and scalability in mind
- Collaborate closely with robotics, data platform, and simulation teams to integrate ML into real-time, latency-sensitive robotic systems
- Use profiling, monitoring, and experiments to optimize model performance and reliability
- Ensure reproducibility, traceability, and modularity across training and serving pipelines
- Maintain clean, production-quality code in Python (and C++ where required)
- Help establish best practices for model versioning, dataset management, and ML operations
Required Skills
Degree in Computer Science, Electrical Engineering, or Mathematics 5+ years of industry experience applying machine learning to real-world, production systemsStrong Python skills and deep experience with PyTorch
Ability to work fluently across ML tasks, e.g., classification, regression, ranking, segmentation, and structured prediction
Strong engineering background with experience profiling, debugging, and optimizing model and pipeline performance
Proven ability to design and maintain reliable systems, from model training to field deployment
Experience with cloud-based infrastructure (AWS, GCP, Azure) and containerized environments (Docker)
Familiarity with Linux, Git, CI/CD) and software development best practices (unit/acceptance/integration testing, code reviews)
Nice to haves
Prior experience in robotics, autonomous systems, or real-time ML applications
Exposure to multimodal data (e.g., RGBD, force-torque, pose estimates, telemetry)
Experience deploying models using serving stacks like NVIDIA Triton, TorchServe, or custom low-latency frameworks
Background in computer vision, geometric learning, or time-series modeling
Experience with Kubernetes, Ray or other distributed training and inference systems
Previous startup experience or experience in fast-paced, cross-disciplinary environments
About Dexterity
Robotics company building intelligent robotic systems for warehouse and supply chain automation, using AI-driven manipulation to handle complex material movement tasks.
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