F

Fin

AI-powered customer experience agent platform

Senior Machine Learning Scientist

Applied Machine LearningConfirmed live in the last 24 hours
Full-timeLondon, UKNo salary listed

About the Job

Requirements

  • Broad applied machine-learning knowledge.
  • Three to five years of applied machine-learning experience.
  • Practical statistical knowledge, including experiment design and handling confounding.
  • Intermediate programming skills.
  • Strong communication skills within engineering teams and across disciplines.
  • Comfort with ambiguity.
  • Typically, advanced education in machine learning or a related field, such as an MSc.
  • Scientific thinking skills.

Responsibilities

  • Identify areas where machine learning can create value for customers.
  • Identify the appropriate machine-learning framing of product problems.
  • Work with teammates and Product and Design stakeholders.
  • Conduct exploratory data analysis and research.
  • Develop a deep understanding of the problem area.
  • Research and identify appropriate algorithms and tools.
  • Apply pragmatic approaches while innovating at the cutting edge 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 wider team and others 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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