Dexterity, Inc. · 6 months ago
Senior/Staff Machine Learning Engineer
Redwood City, CA
Full-time
Onsite
Senior Level, Lead/Staff
$170K/yr - $225K/yr
5+ years expDexterity, Inc. is a rapidly growing company in the robotics sector, focused on transforming warehouse automation through intelligent robotic solutions. The Senior/Staff Machine Learning Engineer will tackle complex challenges related to robot task planning and improve machine learning pipelines to enhance the functionality and accuracy of Dexterity's robotics systems.
Artificial Intelligence (AI)LogisticsRoboticsSupply Chain ManagementWarehouse AutomationWarehousing
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
Qualification
Required
Degree in Computer Science, Electrical Engineering, or Mathematics
5+ years of industry experience applying machine learning to real-world, production systems
Strong 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)
Preferred
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
Benefits
Equity grants
Benefits
Wellness resources
Company
Dexterity, Inc.
We deliver full-stack robot dexterity solutions for logistics, warehousing, and supply chain operations.
201-500 employees
H1B Sponsorship
Dexterity, Inc. has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (23)
2024 (14)
2023 (7)
2022 (25)
2021 (9)
2020 (6)
Funding
Current Stage
Growth StageTotal Funding
$291.2M2025-03-11Series Unknown· $95M
2021-10-13Series B· $140M
2021-10-13Debt Financing
Leadership Team
Samir Menon
Founder & CEO
Adam Kell
Product Manager
Recent News
2025-11-28
Crunchbase News
2025-11-01
Company data provided by crunchbase