Staff ML Scientist — Lead & Deliver Product AI

Intercom

Greater London

Hybride

GBP 90 000 - 150 000

Plein temps

14 jours+

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Résumé du poste

Fin in London is seeking an experienced Machine Learning engineer to drive product-focused ML features. You will lead prototypes to production, collaborate with Product and Design, and mentor other engineers.

The role emphasizes researching algorithms, evaluating models offline, and shipping ML products that impact customers. A PhD or MSc and strong stats are valued, with a hybrid working policy and a culture of open collaboration.

Qualifications

  • 5-8 years applied ML experience.
  • Previous background in a senior/staff role (data science, software development or academic)
  • Significant, demonstrated impact that your work has had on the product and/or the teams
  • Experience as the primary technical leader for a team
  • Strong communication skills, both within engineering teams and across disciplines.
  • Comfort with ambiguity
  • Typically have advanced education in ML or related field (e.g. MSc)
  • Scientific thinking skills
  • 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

Responsabilités

  • Play an active role in hiring, mentoring and career development of other engineers
  • Raise the bar for technical standards, performance, reliability, and operational excellence
  • Identify areas where ML can create value for our customers
  • Identify the right ML framing of product problems - Working with teammates and Product and Design stakeholders
  • Conduct exploratory data analysis and research - Deeply understand the problem area
  • Research and identify the right algorithms and tools - Being pragmatic, but innovating right to the cutting-edge when needed
  • Perform offline evaluation to gather evidence an algorithm will work
  • Work with engineers to bring prototypes to production
  • Plan, measure & socialize learnings to inform iteration
  • Partner deeply with the rest of team, and others, to build excellent ML products

Connaissances

Applied ML
Senior/Staff
Research leadership
NLP
Deep learning
Bayesian methods
Reinforcement learning
Statistics
Python
TensorFlow
PyTorch
MSc/PhD in ML

Formation

MSc/PhD in ML

Outils

Python
TensorFlow
PyTorch

Description du poste

Fin in London is seeking an experienced Machine Learning engineer to drive product-focused ML features. You will lead prototypes to production, collaborate with Product and Design, and mentor other engineers.

The role emphasizes researching algorithms, evaluating models offline, and shipping ML products that impact customers. A PhD or MSc and strong stats are valued, with a hybrid working policy and a culture of open collaboration.

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