AI/ML Engineer, RL Environments - Asset Hub
SimpleClosure2 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
There is a right way to shut down. We've helped thousands of founders do it. SimpleClosure manages the full dissolution process for bootstrapped and venture-backed companies—legal, tax, operational, and administrative—from the first step to the final filing. One coordinated process, one team responsible for all of it. We are dissolution experts enabled by technology—bringing structure, visibility, and professional handling to a moment that has historically had none of it. We work with founders and operators directly, and alongside the lawyers, accountants, and investors who support them. Shutdown is too important to improvise.