AI/ML Engineer, RL Environments - Asset Hub

About the role

SimpleClosure is seeking an AI/ML Engineer to transform the unique inventory of real-world assets acquired from company shutdowns into high-value AI-training products. The ideal candidate will take raw assets like production codebases, workspaces, and databases and turn them into derivative works such as reinforcement-learning environments, agentic task suites, evaluations, verifiers, and training datasets.

Responsibilities

• Identify opportunities within the unique real-world assets acquired from company shutdowns and design/build the pipeline to turn these assets into derivative works.
• Prototype and harden the best ideas into repeatable, scalable pipelines, ensuring derivative-work creation is not one-off.
• 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.
• Work with sensitive material with strong attention to security, privacy, licensing, and PII handling.
• Write clean, well-tested code and use AI tooling to move faster, collaborating closely with product, engineering, and the GM of Asset Hub.

Qualifications

• RL-environments / AI-training background (critical): you’ve built RL environments and/or products used to train or evaluate models — environments, agentic task suites, evals, benchmarks, or verifiers.
• Experience: 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).
• 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.
• Ownership: a builder’s temperament — takes projects from concept to production, works scrappily (sometimes alongside contractors), and thrives in ambiguity.
• Communication: a clear communicator who can be a credible technical face to lab and RLE researchers.

Benefits

• Base Salary: $140,000 - $200,000, depending on experience level
• 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)
• Two company-wide offsites each year
• 401(k) with Traditional and Roth options, with immediate eligibility