[Hiring] Staff ML Platform Engineer @FutureFit AI

Role Description

Come join our Data team! High velocity, high trust, and high impact with a will to win. If that resonates deeply with you, this could be your next career move. We're seeking someone who leads with humility, pursues audacious goals, and is motivated by meaningful impact on people and the world.

At FutureFit AI, our core mission is to help more people get to better jobs faster and cheaper, with a specific focus on those facing barriers to opportunity. Our work helps resolve the growing issue of economic inequality, ensuring that no one is left behind in the future of work. Our AI-powered platform brings efficiency and insight to workforce development, replacing outdated systems and unlocking human potential at scale.

Ready to make an impact? Apply today.

Important note: Data shows that men typically apply when meeting 3/10 requirements, while women often wait until it's 10/10. We encourage you to apply if you see a strong (not necessarily perfect) fit.

Qualifications

• Staff-level, hands-on experience in MLOps, ML platform, or ML infrastructure.
• Experience standing up MLOps practice end to end: CI/CD for models, experiment tracking, model registries, deployment workflows, and monitoring.
• Production experience with LLM-based systems.
• Experience operating models in both batch and real-time serving contexts.
• Hands-on with compute provisioning and environment management.
• Experience running controlled model experiments in production.
• Depth in observability and traceability for production ML.
• Hands-on operational experience.
• Comfort doing the data engineering the platform needs.
• A track record of walking into complex, fast-grown systems, diagnosing the real problems, and materially improving them.
• Strong systems design ability.

Requirements

• Interest in growing into model development yourself.
• Feature store experience.
• Experience evaluating AI/ML observability or LLM evaluation vendors.
• Background in mission-driven, workforce, or government-adjacent data environments.
• Comfort mentoring a small data and engineering team while you build.

Benefits

• Pay Range: USD $172,000-$215,000 (United States) / CAD $172,000-$220,000 (Canada).
• Remote-first company with optional office access in Toronto.
• Approximately 2-3 trips per year, including a company off-site in August.

Company Description

• Team: 30-50 across US and Canada (hubs in NYC and Toronto).
• Customers: Workforce development agencies and intermediaries, government agencies, employers.
• Industry: SaaS/AI technology.
• Funding: Bootstrapped 0-1, then raised funding led by JP Morgan.
• Structure: Growth, Customer Success, Product, Engineering, Data, People & Culture, Finance & Operations.