Senior Machine Learning Engineer – Perception

Pickle Robot Company

. Turn ambiguous picking performance goals into well-posed machine-learning problems, defining predictions, labels, rewards, loss functions, and success criteria.

Posted 10/13/2026full-timeCharlestown • Massachusetts • United StatesSenior💰 $170,100 - $227,400 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in Machine Learning and Computer Vision, with a strong focus on dataset strategy, model development, and performance evaluation. Proficient in Python and PyTorch, with experience in cloud infrastructure and mentoring engineering talent.

Highest-signal resume keywords

Machine LearningComputer VisionPythonPyTorchCloud Training Infrastructure

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Dataset StrategyModel DevelopmentPerformance EvaluationMulti-Task ModelsMulti-Modal ModelsMulti-View ModelsSelf-Supervised LearningAutomated Quality AssuranceMetric DesignExperiment Tracking

Soft Skills

MentoringProblem FramingRigorous Evaluation Habits

Tools & Technologies

GCPAWSDocker

Industry Keywords

Synthetic Scene GenerationData BottlenecksEdge-Case ImprovementRuntime IntegrationInference Optimization

Tech Stack

Tools & technologies

AWSCloudDockerGoogle Cloud PlatformPythonPyTorch

About the role

Key responsibilities & impact

Turn ambiguous picking performance goals into well-posed machine-learning problems, defining predictions, labels, rewards, loss functions, and success criteria.
Own dataset strategy end-to-end, including large-scale synthetic scene generation, distributed cloud dataset jobs, scene diversity filtering, and self-supervised label generation.
Identify and address data bottlenecks.
Fine-tune large vision backbones with multiple task-specific heads.
Run disciplined experiments and determine which experiments to run next and when to stop.
Define offline metrics that predict on-robot outcomes and online metrics for edge-case improvement.
Conduct rigorous code reviews.
Mentor engineers earlier in their careers.
Contribute to the perception and grasping roadmap.
Produce deployable models with sane latency budgets, exportable graphs, and reproducible artifacts.
Partner with platform and robotics engineers on runtime integration and inference optimization.

Requirements

What you’ll need

5+ Years of Experience in Machine Learning and Computer Vision, including models you personally carried from problem statement to measured outcome.
A track record of framing problems and translating high-level product requirements into specific engineering tasks.
Experience building datasets at scale, including generation or collection, curation, automated quality assurance, coverage and bias analysis, and active learning.
Rigorous evaluation habits, including baselines, ablations, and metric design.
Expert-level Python and PyTorch skills.
Comfortable with cloud training infrastructure (GCP or AWS), Docker, and experiment tracking tools.
Professional experience with at least one of the following: developing and training multi-task models; developing and training multi-modal models; developing and training multi-view models; self-supervised, outcome-based, or reward-driven learning.

Benefits

Comp & perks

Health insurance
Dental insurance
Vision insurance
Unlimited vacation
Paid federal and state holidays
401(k) contributions of 5% of your salary
Company-covered travel expenses
Other perks to make your working life more fun, comfortable, and productive