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LeadHybridDublin, London, Berlin

Machine Learning Scientist

F
Fin
Уровень
Lead
Формат
Hybrid
О роли

Описание вакансии

About the company

Fin, now part of Salesforce, is on a mission to help businesses provide perfect customer experiences. Our AI Agent Fin is the highest-performing AI Customer Agent on the market today, enabling businesses to deliver impeccable, always-on customer support across the customer journey, from service, to sales, to ecommerce. Powered by our own AI models, Fin resolves complex customer issues end-to-end across every channel, with minimal set-up and integration.

Responsibilities

  • 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

Requirements

  • 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
  • Strong programming skills
  • 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

Bonus skills & attributes

  • 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.
Стек и навыки

С чем работаем