Pickle Robot Company

Pickle Robot Company

Senior Machine Learning Engineer - Perception

Charlestown, MA · Senior

Sponsorship not specified$170k-$227kDetected 9 days ago
PythonCode ReviewAWSGCPDockerMachine LearningPyTorchComputer VisionA/B TestingLogisticsRobotics

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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

  • Our robots work alongside warehouse teams to unload trucks and containers - one of the toughest, most understaffed jobs in logistics - making the work safer, faster, and more efficient for the people doing it.
  • Loading trucks comes next, followed by the Dill Autonomy Engine: generalized autonomy that will eventually orchestrate robots across entire logistics processes.
  • The salary range listed here is provided in accordance with Massachusetts law and reflects what we reasonably and in good faith expect to offer for this role.

Responsibilities

  • Own ML Problem Formulation: You will turn ambiguous picking performance goals into well-posed ML problems, deciding what the model predicts, how labels and rewards are defined, what loss to optimize, and what "better" actually means.
  • Build the Data Engine: You will own dataset strategy end-to-end, from large-scale synthetic scene generation and distributed cloud dataset jobs to scene diversity filtering and self-supervised label generation.
  • Own Evaluation and Verification: You will define offline metrics that predict on-robot outcomes and online metrics that help you improve performance on edge cases.
  • Drive Technical Excellence: As a senior member of the team, you will conduct rigorous code reviews, mentor engineers earlier in their careers, and contribute to the perception and grasping roadmap.
  • Hand Off Cleanly to Production: You will produce deployable models with sane latency budgets, exportable graphs, and reproducible artifacts, partnering with the engineers who own runtime integration and inference optimization rather than owning that yourself.
  • Rigorous Evaluation Habits: baselines, ablations, metric design, and a clear sense of when a result is real.
  • Developing and training multi-task models
  • Developing and training multi-modal models
  • Developing and training multi-view models

Requirements

  • Professional experience with at least one of the following:
  • A track record of framing problems.
  • You can translate high-level product requirements into specific engineering tasks and explain technical trade-offs to non-expert stakeholders.

Compensation

  • The salary range listed here is provided in accordance with Massachusetts law and reflects what we reasonably and in good faith expect to offer for this role.
  • Pickle Perks Pickle provides best-in-class benefits, including health, dental, and vision insurance; unlimited vacation; paid federal and state holidays; 401(k) contributions of 5% of your salary; company-covered travel expenses; and other perks to make your working life more fun, comfortable, and productive.

Benefits

  • Train and Iterate on Large Vision Models: You will fine-tune large backbones with multiple task-specific heads, run disciplined experiments, and know both which experiment to run next and when to stop.
  • 5+ Years of Experience in Machine Learning and Computer Vision, including models you personally carried from problem statement to measured outcome.
  • Hands-on Experience Building Datasets at Scale: generation or collection, curation, automated quality assurance, coverage and bias analysis, and active learning to systematically close edge cases.
  • Self-supervised, outcome-based, or reward-driven learning.

Company info

  • At Pickle Robot, we're on a mission to automate global supply chains with Physical AI.
  • We're looking for a rigorous and self-directed Senior Machine Learning Engineer to own machine learning problems end-to-end on the systems that decide how our robots grasp packages.
  • This role will focus on problem formulation, building the data engines that feed our models, training and experimentation, and the evaluation rigor that tells us whether a model is genuinely better.
  • Our platform and robotics engineers own runtime integration and edge deployment, so you can stay focused on the modeling loop.
  • Pay at Pickle At Pickle Robot Company, we believe transparency builds trust.
  • About Us At Pickle Robot, we're on a mission to automate global supply chains with Physical AI.
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This listing is sourced directly from Pickle Robot Company's careers page and normalized into a canonical job model.