or apply directly on Fin's site. We never take the application ourselves.
Is this posting real?
- This role has been open
- 12 days Fin's roles stay open a median of 45 days
- Reposted
- No
- Salary listed
- No 28% of Fin's roles list one
- Ghost-job risk at Fin
- high 94 stale, 0 reposted of 130 open
- Hiring momentum
- 162 roles opened in the last 90 days ↑ up vs. the prior 90 days
- Last confirmed on the employer's board
- 2026-09-17
Measured from postings appearing on and disappearing from Fin's own greenhouse board since 2026-08-03. Full hiring picture for Fin.
About this role
As a Senior Machine Learning Scientist at Fin, you will be part of a product-focused team responsible for developing and deploying machine learning features that enhance customer experiences. Your role will involve identifying valuable ML opportunities, conducting exploratory data analysis, collaborating with product and design teams, and bringing prototypes to production. You will also evaluate algorithms and measure their impact on customers, ensuring that the solutions you develop are both innovative and practical.
- benefits
- 4/5
- freshness
- 4/5
- career value
- 5/5
- role clarity
- 4/5
- pay transparency
- 0/5
Scored from the posting itself — how clearly the role is described, how much it says about pay and benefits, and how recently it was listed. Not a judgement of Fin as an employer.
What you need
- Broad applied machine learning knowledge
- 3-5 years applied ML experience
- Practical stats knowledge (experiment design, dealing with confounding etc)
- Intermediate programming skills
- Strong communication skills, both within engineering teams and across disciplines
- Comfort with ambiguity
Nice to have
- Track record shipping ML products
- PhD or other experience in a research environment
- Deep experience in an applicable ML area. E.g. NLP, Deep learning, Bayesian methods, Reinforcement learning, clustering
- Strong stats or math background
- Visualization, data skills, SQL, matplotlib, etc.
What you get
- Competitive salary, annual bonus and equity
- Regular compensation reviews - we reward great work!
- Generous paid time off above statutory minimum
- Generous family leave (maternity, paternity)
- Hybrid working
- MacBooks are our standard, but we also offer Windows for certain roles when needed
Worth weighing
- No specific salary listed
- Hybrid working policy requires being in the office at least three days per week
- The role involves working with cutting-edge ML technologies, which may require continuous learning and adaptation
Summarised from Fin's posting. Read the full original.
Listed by Fin on their greenhouse job board, last confirmed open on 2026-09-17. PitchMeAI is not the employer.
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