Senior Product Engineer, Machine Learning - Intercom
  • Dublin, Leinster, Ireland
  • via BeBee.com
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Job Description

Senior Product Engineers are sought to build AI-powered products, working closely with ML Scientists and product teams to define new features, research algorithms, and rapidly prototype.

We're a product-focused team, working in partnership with Product and Design functions to move to production fast, often shipping to beta in weeks after a successful offline test.

We're passionate about applying machine learning technology, productizing classic supervised models to cutting-edge unsupervised clustering algorithms and novel transformer neural networks.

As an experienced product engineer, you'll take an analytical approach to development, with hands-on experience with ML systems.

Key Responsibilities:

  • Build systems that power Intercom's flagship AI products, working in ML Python tech stack and across the product on our Rails app.
  • Work alongside ML Scientists to bring proof-of-concept code to production, ensuring it's robust and scalable for real-world use.
  • Partner with product teams outside of our group to shape the best AI-powered product experience for customers.
  • Contribute to all phases of software development, including ideation, prototyping, implementation, and testing.
  • Play an active role in the hiring, mentoring, and career development of other engineers.
  • Raise the bar for technical standards, performance, reliability, and operational excellence within the group and across Intercom.

Requirements:

  • 5+ years of experience shipping high-quality products.
  • 1+ year of experience building ML-powered products.
  • Demonstrate significant impact in previous work.
  • Strong technical fundamentals, with a love for learning and a willingness to invest in development.
  • Deep knowledge of a high-level programming language.
  • Strong willingness to fight for good outcomes and bias towards progress over perfection.
  • BSc in Computer Science, Maths or Statistics or related discipline.

Bonus Skills & Attributes:

  • Previous experience in data analytics or statistical roles.

Benefits:

  • Competitive salary and equity in a fast-growing start-up.
  • We serve lunch every weekday, plus a variety of snack foods and a fully stocked kitchen.
  • Regular compensation reviews.
  • Pension scheme & match up to 4%.
  • Life assurance, comprehensive health and dental insurance.
  • Flexible paid time off policy.
  • Paid maternity leave and 6 weeks paternity leave.
  • Cycle-to-Work Scheme.
  • MacBooks and Windows for certain roles.

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