Lead Machine Learning Engineer

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

• $18m Series A, TechCrunch
• Is Livestream the Future of Second-hand Shopping?
• $3m Pre-seed from 2022
• 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.

Compensation Range: CA$200K - CA$220K