FutureFit AI is seeking a Staff Machine Learning Scientist to join their Data Team.
The role involves designing and shaping data science products, including recommenders and data ontology.
70% of the time will be dedicated to improving the recommendation engine.
20% of the time will be spent building out data ontologies that support the recommendation engine.
10% of the time will be spent as a strategic partner to the VP of Data and Product, re-thinking recommender architecture and optimizing the use of industry data.
The position reports directly to Katya Simpson, the VP of Product and AI.
Responsibilities include owning problem spaces from inception to maintenance, setting standards for high-quality recommender science, and upholding best practices in data science and machine learning.
Requirements:
Proven experience with recommendation engines, including handling cold-start scenarios.
Expertise in classical machine learning techniques.
Experience with data ETL processes, particularly with tools like Airflow, DBT, or similar.
Familiarity with modeling both structured and unstructured data from NoSQL databases such as MongoDB.
Ability to translate vague problems into actionable business insights.
Strong communication skills to present insights to stakeholders with varying technical expertise.
Experience with production-grade Natural Language Processing (NLP) using Large Language Models (LLMs).
Demonstrated professional experience in high-performing settings is preferred, with special credit for candidates with both big tech and startup experience or experience in the workforce development industry.
Benefits:
Opportunity to work directly with the founding team.
Unlimited Paid Time Off (PTO).
Comprehensive health care coverage.
401(K) plan available for US team members.
Career Development Budget to support professional growth.
Technology reimbursement for work-related expenses.
Flexible work schedules built on trust, allowing for a better work-life balance.
