F

Fin

AI-powered customer experience agent platform

Staff Machine Learning Scientist

Applied Machine LearningConfirmed live in the last 24 hours
Full-timeLondon, UK

About the Job

Requirements

  • The candidate should have 5–8 years of applied machine learning experience.
  • The candidate should have a previous background in a senior or staff role in data science, software development, or academia.
  • The candidate should have demonstrated significant impact on a product or teams.
  • The candidate should have strong programming skills.
  • The candidate should have experience as the primary technical leader for a team.
  • The candidate should communicate effectively within engineering teams and across disciplines.
  • The candidate should be comfortable with ambiguity.
  • The candidate typically has advanced education in machine learning or a related field, such as an MSc.
  • The candidate should have scientific thinking skills.

Responsibilities

  • Play an active role in hiring, mentoring, and career development of other engineers.
  • Raise technical standards for performance, reliability, and operational excellence.
  • Identify areas where machine learning can create customer value.
  • Frame product problems appropriately for machine learning in collaboration with teammates and Product and Design stakeholders.
  • Conduct exploratory data analysis and research to develop a deep understanding of the problem area.
  • Research and identify appropriate algorithms and tools, applying pragmatic approaches while innovating when needed.
  • Perform offline evaluation to gather evidence that an algorithm will work.
  • Work with engineers to bring prototypes to production.
  • Plan, measure, and share learnings to inform iteration.
  • Partner with the rest of the team and other stakeholders to build machine learning products.

Desired Qualifications

  • A track record of shipping machine learning products.
  • A PhD or other experience in a research environment.
  • Deep experience in an applicable machine learning area, such as natural language processing, deep learning, Bayesian methods, reinforcement learning, or clustering.
  • A strong statistics or mathematics background.
  • Visualization and data skills, including SQL and matplotlib.

About the Company

Fin

AI-powered customer experience agent platform

Fin builds AI software for customer experience, featuring Fin, an AI agent that engages customers across service, sales, and ecommerce, and Intercom, a helper desk platform for human-assisted support. The Fin agent works through voice, chat, email, social channels, and Slack, performing multi-step tasks like updating accounts, processing refunds, or troubleshooting via its API, data connectors, and MCP, with Fin Operator monitoring and tuning for ops teams. It runs on proprietary Apex models trained for customer service and integrates with tools like Salesforce, HubSpot, and Freshdesk, alongside native Intercom workflows. Fin charges on outcome-based pricing per resolution, serves more than 12,000 customers, and was acquired by Salesforce in 2026 to continue growing in the AI customer-service space.

Company size
1,001-5,000
Company stage
Acquired
Total funding
$490.8M
Headquarters
San Francisco, CA
Founded
2011

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