AI/ML Engineer, RL Environments - Asset Hub
SimpleClosure3 months ago
Manhattan, NY, USAMid Level / Senior
Base Salary
$140k - $200k/yr
Responsibilities
- Identify how production codebases, workspaces, and databases can become valuable AI-training products.
- Build ingestion, test-harness, commit-mining, Docker sandbox, verifier, reward-script, and QA pipelines.
- Create interactive environments using sandboxed application state, MCP servers, and browser/Playwright layers.
- Assess commercial demand and determine which derivative products maximize the value of available assets.
- Prototype rapidly and harden successful concepts into repeatable, scalable pipelines.
- Partner with Asset Hub buyer and business development teams and technical stakeholders at AI labs and RL-environment buyers.
- Handle sensitive codebases, workspace exports, and proprietary datasets with attention to security, privacy, licensing, and PII.
- Write clean, well-tested code and use AI tooling to accelerate development while collaborating with product, engineering, and the Asset Hub GM.
Requirements
- Built reinforcement-learning environments or AI-training products used to train or evaluate models.
- 4–8 years of engineering experience, including meaningful experience in RL environments, AI-training data, or model evaluation.
- Strong Python, Docker, and CI/test infrastructure skills, with experience building reproducible sandboxes from messy code and data.
- Familiarity with LLM evaluation, agent harnesses, SWE-bench-style setups, Verifiers, HUD, verifier and reward design, and resistance to reward hacking.
- Ability to take projects from concept through production and work effectively in ambiguous, scrappy environments.
- Clear communication skills and credibility with AI lab and RL-environment researchers.
- Bachelor’s or Master’s degree in Computer Science, Machine Learning, or a related field, or equivalent practical experience.
- Contributions to public benchmarks or evaluation frameworks, post-training or fine-tuning data experience, and simulation or frontend skills such as MCP and Playwright are preferred.
- Experience building and managing a team of engineers is a plus.
Benefits
- Competitive equity package
- Comprehensive medical, dental, and vision benefits
- Life insurance
- Unlimited paid time off
- Flexible hybrid work environment in New York City, Midtown, with 2 days per week in office
- Two company-wide offsites each year
- 401(k) with Traditional and Roth options, with immediate eligibility
Categories
About SimpleClosure
SimpleClosure builds software-enabled services to manage corporate dissolutions—covering legal, tax, operational, and administrative steps—from initiation to final filings. It also operates Asset Hub, a marketplace to sell or repurpose shutdown assets such as codebases, workspaces, data, domains, and talent, used by AI and software buyers. Founded in 2023, it is a privately held, venture-backed company that works with founders, operators, lawyers, accountants, and investors.