Lead Machine Learning Engineer, Toronto
TILT
Tilt 🛸
Our mission is to make fashion accessible to all and inspire everyone to dress a little better. We believe e-commerce is in a rut, with brands lost in a decades-long void, lacking innovation, and mindlessly redesigning websites without fixing the real issue — making shopping fun and affordable.
Today, we are the UK's biggest live shopping platform focused on making shopping a joyful, social experience that brings people together and helps everyone level up their style. We've raised an $18m Series A, and we're rapidly growing and looking to hire A-players to build the future of shopping.
More about us
Check us out on the UK app store! (other countries are inaccurate until we expand)
Your Mission 🫵
We’re hiring a Lead Machine Learning Engineer to own and drive AI/ML initiatives at Tilt. This is a hands-on role where you'll lead by example, directly contributing to building and scaling AI at Tilt while providing guidance and technical mentorship to the team. This is not a management or research position.
You must be prepared to jump into a start-up environment; if you prefer to avoid risks, this isn’t the right place for you, so please refrain from applying. We seek passionate, driven individuals eager to learn quickly, work hard, and help us shape the future.
What You'll Do 👷
Design, develop and deploy the first-of-their-kind AI-driven features for e-commerce—from scratch
Work closely with product, engineering, and design teams to identify and execute high-impact features
Build robust, scalable infrastructure for AI at Tilt
Provide valuable technical guidance for ML Engineers and product engineers on building world-class AI systems
Dig deep into existing products, develop plans for improvement and collaborate with the team to execute
Requirements 📋
You must be an ambitious, curious, relentless and no ego problem-solver excited to build the future of shopping. Additionally:
Candidates MUST be ready to join a startup and move fast through interview rounds
Experience taking ML systems from 0 to 1 to large-scale, serving millions of users (LLMs, rec sys, computer vision or NLP)
5+ years of hands-on experience in ML/AI engineering, with proven expertise in building and deploying solutions at scale
Bachelor's degree in a STEM major (mathematics, computer science, engineering)
Expertise in Python, PyTorch/TensorFlow and ML frameworks
Comfortable working with our stack (or similar): AWS, OpenSearch, PostgreSQL, Snowflake
Ability to work autonomously to deliver results at a rapid pace
Bonus
Experience with high-traffic, real-time platforms
3+ years of experience in high-growth, fast-paced environments
Perks & Benefits ➕
Stock Options
MacBook Pro + Tech Budget
Flexible and hybrid working as standard
Canary Wharf office includes gym access
Opportunity for periods of fully remote work, from any location
Want to join?
Apply with your CV and provide authentic answers to the questions in the application form.