Staff ML Platform Engineer (MLOps)

The posting, as FutureFit AI wrote it

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 Our AI-powered platform brings efficiency and insight to workforce development, replacing outdated systems and unlocking human potential at scale.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.

The Opportunity

We're seeking a Staff ML Platform Engineer (MLOps) to build the platform our ML and LLM-powered products run on. Our ML footprint has grown fast, but the layer underneath it has not kept pace. You'll own that layer end to end: how models get built, deployed, evaluated, and served; how compute and environments get provisioned and managed; how our LLM calls get routed and optimized for cost; and how we know quickly when a recommender goes down or goes off the rails.

This is a build role and an operate role: when a model regresses or a recommendation looks wrong, you can trace it back to the inputs that produced it and help fix it.

Your Role

Our ML footprint has grown quickly: batch models, real-time recommendation models, LLM-powered features, and daily pipelines processing every available job across the US and Canada. What we haven't built is the platform underneath it: consistent compute and environments, a disciplined path from experiment to production, cost-aware routing across LLMs, and the monitoring that tells us fast when something breaks.

You'll assess our current pipelines and ML workflows with clear eyes, decide what to build and in what order, then build it. This is greenfield platform work with direct influence on production models and how our ML team operates, and it comes with real operational ownership: you will be close enough to the running systems to debug them, not one step removed.

What You'll Own

• Assessment and plan: Evaluate our current pipelines, data architecture, and ML workflows, and produce a prioritized, opinionated plan for what needs to change.
• Platform foundations and optimization: Own compute provisioning and environment management, keep training and serving environments reproducible, keep frameworks and packages current across services and model images, and tune latency, throughput, and spend, all without destabilizing production.
• LLM infrastructure and smart routing: Build the layer our LLM features run on, includ

[…]
omers: 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

OUR CORE PRINCIPLES

• Be Curious
• Drive to Outcomes
• Raise the Bar
• Speed Matters
• Own It
• We Over Me

USE OF AI IN HIRING

At FutureFit, we use artificial intelligence (AI) tools to make our hiring process more efficient, consistent, and equitable—never to replace human judgment. We use AI in the following ways:

• Screening support: AI may help us compare applications against the skills and experience required for a specific role. These skills are defined by the hiring team for each position. A human reviews each application, with the AI assessment as just one input.
• Interview support: In some interviews, we may use an AI notetaker to summarize the discussion so interviewers can focus on being present in the conversation.
• Insights, not decisions: AI provides data points to support our team’s evaluation but does not make or recommend final hiring decisions. Every hiring decision is made by people.

We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, perform essential job functions, and receive other benefits and privileges of employment. Please contact us to request an accommodation.

© FutureFit AI All rights reserved, we are proud to be an equal opportunity workplace. We celebrate diversity and are committed to creating an inclusive environment for all employees. We do not discriminate on the basis of race, religion, color, gender identity, sexual orientation, age, disability, veteran status, or other applicable legally protected characteristics. We encourage people of different backgrounds, experiences, abilities, and perspectives to apply.