Staff Machine Learning Scientist, FutureFit
$170-220k
More information about location
End-to-End career transition platform
Be an early applicant
End-to-End career transition platform
21-100 employees
Be an early applicant
$170-220k
More information about location
21-100 employees
Company mission
To be the GPS to help workers navigate career transitions.
Role
Who you are
- Proven experience with recommendation engines, including cold-start scenarios
- Classical machine learning expertise
- Data ETL experience: experience with Airflow, DBT or similar
- Familiarity with modeling both structured and unstructured data from NoSQL databases such as MongoDB
- Proven ability to translate vague problems into actionable insights for the business
- Strong communication skills to present actionable insights to stakeholders with varying levels of technical expertise
- Experience with production-grade NLP (using LLMs)
- While all are encouraged to apply, we’re looking for demonstrated professional experience in high-performing settings. Special credit to those with both big tech and start up experience or experience in the workforce development industry
- Your alma mater isn’t our focus. Your grit, hunger, and drive are. If you’re one who learns continuously, tackles challenges head-on, and knows your strengths and gaps intimately, you’re our person
What the job involves
- FutureFit AI is looking for a Staff Machine Learning Scientist to join our team! You will play a key role in designing and shaping our data science products, including our recommenders and data ontology
- 70% of your time will be dedicated to improving our recommendation engine
- 20% of your time will be spent building out our data ontologies that power the recommendation engine
- 10% of your time will function as a strategic partner to the VP of Data and Product; re-thinking our recommender architecture and optimizing how we use industry data
- This role reports directly to Katya Simpson, our VP of Product and AI
- Own problem spaces from 0 to 1. This starts with defining product requirements with stakeholders to maintaining your products
- Set the standard for high-quality recommender science
- Uphold best practices in data science and machine learning
Application process
- Online Application
- Initial Screen with Director of People & Culture
- Interview with Hiring Manager
- Live Math Interview
- Interview with Lead Data Engineer
- Interview with Director of Product
- Interview with CEO
- Final Decision
Our take
One of the key problems with assessing and predicting labor market trends comes from the difficulty of finding comprehensive, accurate, and meaningful data. FutureFit is a 2018-founded labor intelligence company helping people and companies algorithmically chart out career roadmaps, including proactive upskilling, job exploration, and placements.
The company draws from a competitively broad pool to train its algorithm, including marketplace profiles, existing job titles and labor market intelligence. This has won FutureFit's platform impressive industry recognition, including from the US Department of Education, and has put it head to head with the likes of Google and Harvard.
The pace of technological and robotic development has set a backdrop of unprecedented change for the labor market, leaving people and companies grappling with human redundancies and a shifting landscape of new career paths and skill sets. Further, with 2022 funding secured, FutureFit is accelerating product innovation and growth. With these meaningful navigation tools, the company seems set to continue its impressive growth.
Steph
Company Specialist at Welcome to the Jungle
Company
Funding (2 rounds)
Mar 2022
$4.5m
EARLY VC
Oct 2018
$0.8m
GRANT
Total funding: $5.3m
Company benefits
- Unlimited PTO
- Health care
- Technology reimbursement
- Flexible schedules
Leadership
Hamoon Ekhtiari
(CEO)Previously Founder of Audacious Futures. Has been on the Global Summit at Singularity University and a Speaker at Peace Talks Community.
Terralynn Forsyth
(Head of Product)Previously worked at Audacious Futures, first as Research Lead and later becoming Program Manager.
Taylon Stockton
(COO)Previously Chief of Staff at Nova Pioneer. Also co-founded Pathway Ventures in 2020.
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