SimpleClosure
AI/ML Engineer, RL Environments - Asset Hub
Hybrid in New York City
Sponsorship not specified$140k-$200kDetected 12 hours ago
PythonDockerRESTMachine LearningLLMsPlaywrightCommunication
About the role
- Most companies don't end in acquisition - they end in closure.
- Yet shutdown has never been given the same rigor, clarity, or professionalism as the moments that came before it.
- Nearly 4 million companies shut down every year, creating a massive, overlooked market.
Responsibilities
- Design and build the pipeline that turns a raw asset into a derivative work: repository ingestion, test harnessing, commit-mining for task extraction, Docker/sandbox reproducibility, verifier and reward scripts, and QA tooling.
- collaborate closely with product, engineering, and the GM of Asset Hub.
- comfort building reproducible sandboxes from messy real-world code and data.
- Write clean, well-tested code and use AI tooling to move faster; collaborate closely with product, engineering, and the GM of Asset Hub.
- Core engineering: strong Python, containers (Docker), and CI/test infrastructure; comfort building reproducible sandboxes from messy real-world code and data.
- Evals & verification: familiarity with LLM evaluation and agent harnesses (SWE-bench-style setups, Verifiers, HUD, or similar) and with verifier/reward design, including resistance to reward hacking.
- We're committed to building a diverse and inclusive team, and we welcome applicants from all backgrounds.
Requirements
- Candidates MUST be located in the New York City Metro area.
Nice to have
- contributions to public benchmarks or eval frameworks
- experience with post-training / fine-tuning data
- Nice to have: contributions to public benchmarks or eval frameworks
Compensation
- $140,000 - $200,000, depending on experience level
- Base Salary: $140,000 - $200,000, depending on experience level
Benefits
- Competitive equity package
- Comprehensive health benefits, including medical, dental, and vision
- Life insurance
- Unlimited paid time off
- Flexible hybrid work environment in New York City, Midtown (currently 2 days per week in office)
Company info
- 4-8 years of engineering experience, with meaningful time in the RL-environments, AI-training-data, or model-evaluation ecosystem (at a lab, an RLE/eval company, or a team that shipped training environments or products).
- As the leading platform for company shutdowns, we have something no one else does:
- Partner with the Asset Hub buyer/BD side and directly with technical stakeholders at labs and RLE buyers to shape what we build to their training needs.
- We are committed to providing a work environment free of discrimination and harassment.
- If your experience is a strong match for what we're looking for, our hiring team will reach out to schedule an initial screening call and walk you through the rest of our interview process.
Equal opportunity
- If you need a reasonable accommodation during the application or interview process, please let us know.
Apply directly at SimpleClosure →Create a free account for alerts like thisView SimpleClosure immigration profile
This listing is sourced directly from SimpleClosure's careers page and normalized into a canonical job model.