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.
- 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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