Dexterity

Dexterity

Join Our Talent Network - Senior/Staff Machine Learning Engineer

Redwood City · Staff+

Sponsorship not specified$170k-$225kDetected 499 days ago
PythonFull-Stack DevelopmentAlgorithmsCode ReviewGitAWSGCPAzureDockerKubernetesCI/CDLinuxMachine LearningPyTorchComputer VisionLogisticsRoboticsElectrical EngineeringSensorsProblem Solving

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odds of building a lasting career here

59Sponsors, lottery-bound
Cap-exempt (no lottery)0
Sponsors this role80
Entry-level history0
PERM / green-card track0
Lottery odds (Level IV)94
Fits your clock70

Sponsors, but it's cap-subject — you still face the weighted lottery (~61% per draw at Level IV). Good if you win; have a cap-exempt backup on your list.

Lottery odds assume a STEM candidate.

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Employer immigration record

from this employer's Department of Labor filings

Files H-1B transfers

1 transfer filing in the last year, covering 1 worker. Median labor-condition decision: 7 days. An employer that already files transfers is one that can take over an existing H-1B.

Sourced from Department of Labor LCA, PERM and prevailing-wage disclosure data. Employer matching is by name, so figures may be split across an employer's legal entities. Absence of a filing means none appears in our copy of the data, not that none exists.

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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

Company info

  • About Dexterity At Dexterity, we believe robots can positively transform the world.
  • Every decision, large and small, is driven by one question - how can we empower our customers with robots to do more than they thought was possible?

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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This listing is sourced directly from Dexterity's careers page and normalized into a canonical job model.