Hybrid Machine Learning Engineer

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About the role

  • Machine Learning Engineer at Tilt, developing personalisation solutions across various app surfaces. Collaborate with teams to enhance recommendation systems on a video-first shopping platform.

Responsibilities

  • You will own and build solutions for personalisation across different surfaces in our app, including live streams, products, videos, and more.
  • Learn about our users, explore the data and engineer powerful signals
  • Deliver ML algorithms which significantly outperform our current heuristic models
  • Make Tilt the world leader in real-time recommendations & agentic personalisation
  • Dive deep into the product and data to learn what the best personalisation experience is for customers and our business
  • Rapidly onboard onto the existing recommendations system, identifying key improvements and implementing them
  • Transition us from a scoring model to a more robust ML model
  • Integrate novel new features and real-time signals into the recommendation engine
  • Continue to ensure we are serving best-in-class recommendations for our customers
  • Extend the recommendation system to more experiences in our app
  • Integrate into our search experience, working with the broader team to invent a new type of search

Requirements

  • An ML and AI enthusiast, you’ve built recommendation & ranking systems in production, not just research prototypes
  • A builder: You can code and think in systems
  • A scientist: You have strong foundations in data, statistics and machine learning
  • An excellent communicator: Written, verbal and visual communication are superhuman strengths; you must be exceptional at at least 2 of these
  • Autonomous: You do not require close supervision; you spot problems and solve them
  • Comfortable operating in ambiguity, pressure, and high-expectation environments
  • Experience in fast-paced, high-autonomy startup environments, ideally Series B+
  • Exposure to venture capital, private equity, or fundraising processes
  • Built automations or software applications before
  • Prior experience working directly with founders or CEOs

Benefits

  • 29 days off, plus UK bank holidays
  • Your birthday off, no questions asked
  • Share options to become a true stakeholder in our success.
  • 3% pension contribution from Month 2 (auto-enrolment)
  • Unlimited phone/video and in-person therapy (phone therapy covers partner and dependants 16-18 years old)
  • 24/7 phone GP, including private prescriptions (including partner and children)
  • MacBook and tech budget to get you set up your way
  • Gym membership
  • Free Deliveroo if you’re working late

Job title

Machine Learning Engineer

Job type

Experience level

Mid levelSenior

Salary

Not specified

Degree requirement

Bachelor's Degree

Location requirements

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