Dexterity
Senior/Staff Machine Learning Engineer
Redwood City · Staff+
Sponsorship not specified$170k-$225kDetected 407 days ago
PythonFull-Stack DevelopmentAlgorithmsCode ReviewGitAWSGCPAzureDockerKubernetesCI/CDLinuxMachine LearningPyTorchComputer VisionLogisticsRoboticsElectrical EngineeringSensorsProblem Solving
About the role
- As a Senior/Staff Machine Learning Engineer, you will be working on a myriad of challenges related to robot task and action planning.
- You will leverage techniques from machine learning to solve hard sequential decision problems that require reasoning about the physical world and its dynamics.
- Additionally, you will be responsible for updating and scaling our current ML pipelines to cover more scenarios and improve accuracy.
Responsibilities
- Proven ability to design and maintain reliable systems, from model training to field deployment
Requirements
- 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
- 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)
- Prior experience in robotics, autonomous systems, or real-time ML applications
- Experience deploying models using serving stacks like NVIDIA Triton, TorchServe, or custom low-latency frameworks
- Experience with Kubernetes, Ray or other distributed training and inference systems
- Previous startup experience or experience in fast-paced, cross-disciplinary environments
Nice to have
- Solving the logistics task of moving and sorting inventory throughout a warehouse.
- Ideally, you will bring data-driven productization experience and help the team broadly in qualifying, deploying and updating models.
Compensation
- $170k-$225k
Benefits
- 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
- Background in computer vision, geometric learning, or time-series modeling
Equal opportunity
- Employer We are an equal opportunity employer and value diversity at our company.
- We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.
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