Original job description
Come join our Data team!
High velocity, high intensity, high trust, high bar, high impact, and a will to win.
If those words resonate 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 Our AI-powered platform brings efficiency and insight to workforce development, replacing outdated systems and unlocking human potential at scale.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.
Your Role
We’re seeking a Data Scientist to join our team. Do you love working in machine learning pipelines with big data from day one? Do you have hands-on experience in state-of-the-art NLP (e.g., transformers, BERT, few-shot learning, fine-tuning) and information retrieval (e.g., vector-based semantic search, reranking, hybrid search)? Do you want to continue to work at the frontier of advanced ML and NLP, at a mission-driven startup where we love what we do? If this sounds like you, this might be your dream job!
What You’ll Own
Recommender Systems: Ensuring our product makes high-quality recommendations to both job seekers (as a “GPS” for their careers) and employers (as a “talent radar”).
Taxonomies: Using data and AI to model and make sense of the evolving landscape of skills, occupations, and careers in a changing labor market.
Agentic AI Solutions: Prototyping and evaluating new AI-powered functions for job seekers, employers, and case workers.
Data Science Strategy: You will serve as an advisor and expert on strategy and roadmap decisions, evaluate major developments in the field, and ensure we are using state-of-the-art techniques.
Mentorship/Leadership: You are a dedicated mentor and can serve as tech lead, assisting with the quality, rigor, and acceleration of projects and tasks.
Required Experience
5+ years of combined experience in industry and/or graduate-level research.
Proficiency training and evaluating ML and NLP models using both structured and unstructured data with reproducible results.
Expert-level programming and software engineering skills and a track record of delivering re-usable and well-documented code.
Practical knowledge of using LLMs to accelerate model development, for example through synthesizing training data or automating evaluation.
Proven ability to own a problem space from 0 to 1, translating vague business problems into production models.
Comfortable navigating ambiguity and working with competing priorities.
Strong communication skills to present models and actionable insights to stakeholders with varying levels of technical expertise.
Bonus Points
Specific examples of recommendation systems, taxonomies, or AI agents that you have built.
Experience with data engineering, analytics, dashboards, or BI tools.
Experience with A/B testing or causal analysis.
An economics or social sciences background, especially any experience analyzing or modeling labor market data.
Recognized expertise through publications, conference talks, open-source software releases, or other public artifacts related to state-of-the-art tools, models, and techniques.
Our Tech Stack
Languages: SQL, Python
Data orchestration: Airflow
Data storage and warehousing: S3, Glue, Redshift, PostgreSQL, MongoDB
Machine learning and experimentation: AWS SageMaker
Visualization and reporting: Looker, QuickSight
Infrastructure: AWS ecosystem
Your Education
Your alma mater isn’t our focus. Your grit, hunger, and drive are. If you learn continuously, tackle challenges head-on, and know your strengths and gaps intimately - you’re our person.
Location
This role is hybrid in Toronto. Our office is conveniently located at 325 Front St West (a short walk from Union Station). The team comes in 1-2x a week, usually on Wednesdays. We'd love to see you too!
Travel Expectations
You may be expected to travel up to once per quarter.
Compensation
The base salary range for this role is $115,000-$140,000. This range reflects the varying levels of expertise and responsibilities that will be determined through the interview process, based on applied experience and other criteria established by the hiring committee.
Hiring Journey
At FutureFit AI, our hiring process is designed to help you assess whether this role and our culture are the right fit based on your unique skills, mindset, and experiences. We move fast and work with intensity, so we want you to get a real sense of that from the start.
Each journey includes a mix of interviews and a performance challenge. For this role, that might look like:
Online Application
Initial Screen with Director of People & Culture
Interview with Hiring Manager
Performance Challenge
Panel Interview
Final Decision
Generally, this entire process takes around 4 weeks, although the timing can vary due to specific candidate circumstances.
Ready to shape the future of work?
At FutureFit AI, we're not just building a company - we're transforming how talent and opportunity connect. Join our driven team united by a commitment to job seekers and the workforce ecosystems we serve.
Company Snapshot:
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
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.*
