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Invisible Technologies

Research Engineer

Invisible Technologies · New York - Hybrid; San Francisco Bay Area - Hybrid

Posted today

or apply directly on Invisible Technologies's site. We never take the application ourselves.

Is this posting real?

This role has been open
0 days
Invisible Technologies's roles stay open a median of 70 days
Reposted
No
Salary listed
No
33% of Invisible Technologies's roles list one
Ghost-job risk at Invisible Technologies
high
15 stale, 0 reposted of 27 open
Hiring momentum
30 roles opened in the last 90 days
↑ up vs. the prior 90 days
Last confirmed on the employer's board
2026-10-30

Measured from postings appearing on and disappearing from Invisible Technologies's own greenhouse board since 2026-08-03. Full hiring picture for Invisible Technologies.

About this role

As a Research Engineer at Invisible, you will focus on developing reinforcement learning capabilities, specifically in evaluation methodologies and benchmarks for AI models. Your role involves designing scoring frameworks, creating evaluation architectures, and writing production code to implement these designs. You will collaborate with research scientists and ML engineers to ensure the effectiveness and reproducibility of evaluation systems.

Our read on this posting3.4out of 5
benefits
2/5
freshness
5/5
career value
5/5
role clarity
5/5
pay transparency
0/5

Scored from the posting itself — how clearly the role is described, how much it says about pay and benefits, and how recently it was listed. Not a judgement of Invisible Technologies as an employer.

What you need

  • Production-quality code written daily
  • Fluency in Python and comfort across the modern ML stack
  • Real experience building evaluation systems, RL environments, or training and inference infrastructure
  • Hands-on experience with modern agentic flows
  • Familiarity with reinforcement learning methods and how frontier models are evaluated
  • A track record of turning ambiguous research questions into working systems, and publishing or shipping the result

What you get

  • Bonus and equity included in all full-time, non-commission offers
  • Final compensation determined by location, experience, skills, and market conditions
  • Compensation adjusted for candidates outside the U.S. based on local market conditions and cost of living

Worth weighing

  • No specific salary listed
  • Fast-paced environment with big challenges; not suitable for those seeking predictable routines
  • Role requires a high level of ownership and innovation, which may not fit all candidates

Summarised from Invisible Technologies's posting. Read the full original.

Listed by Invisible Technologies on their greenhouse job board, last confirmed open on 2026-10-30. PitchMeAI is not the employer.

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