Berkshire Grey

Berkshire Grey

Spring 2027 Robot Learning R&D Co-op

Bedford, Massachusetts · Intern · Internship

Sponsorship not specifiedDetected 12 hours ago
PythonC++SpringLinuxMachine LearningNLPRoboticsControlsResearch

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odds of building a lasting career here

37Risky
Cap-exempt (no lottery)0
Sponsors this role80
Entry-level history0
PERM / green-card track0
Lottery odds40
Fits your clock70

Thin sponsorship signal and lottery-bound. A low-probability bet with your clock running. Prioritize cap-exempt roles and proven entry-level sponsors first.

Lottery odds assume a STEM candidate.

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Employer immigration record

from this employer's Department of Labor filings

Green-card filing pattern in this occupation

Context, not a finding about this posting: of this employer's 6 green-card filings in this occupation, 100% were for a worker who already held the job.

Green-card follow-through: 100%

Of 5 labor certifications old enough to have been used, 0 expired without the employer filing the next step. Median time from filing to decision: 492 days.100% of their filings were for a worker who already held the job.Only certifications past the 180-day window are counted — recent ones cannot have expired yet.

Files H-1B transfers

3 transfer filings in the last year, covering 3 workers. Median labor-condition decision: 10 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

  • This role will be onsite at the Bedford, MA office.

Nice to have

  • This position offers a unique opportunity to work at the cutting edge of robotics applied to real-world challenges.
  • Your work will span the full range of this robotics stack, from robot drivers to the multi-robot orchestration system running in Berkshire Grey's in-house robot proving ground.
  • Integrate novel grippers and other hardware into existing perception, planning, and robot-control systems
  • Strong software development expertise in Python
  • Experience applying ML models to systems that interact with the physical world

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