Machine Learning Engineer, TILT

• 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
• If you don’t meet every single requirement in the job description, please don’t be put off from applying. We value potential and a willingness to learn over ticking every box - your unique perspective could be exactly what we’re looking for

Desirable

• 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
• As an AI/ML engineer, you will work closely with our Platform and Growth teams
• There will be close collaboration with product, engineering and the business team, and for the near term, you will be the only AI/ML engineer at Tilt
• To be successful, you must be comfortable tackling a wide range of technical challenges
• What You’ll Do:
• 0 to 3 months:
• 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
• 3+ months:
• 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