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- Tasks: Lead AI/ML initiatives, design and deploy innovative e-commerce features.
- Company: Tilt is the UK's largest live shopping platform, making fashion fun and accessible.
- Benefits: Enjoy stock options, a MacBook Pro, flexible work, and gym access.
- Why this job: Join a fast-paced startup to shape the future of shopping with cutting-edge technology.
- Qualifications: 3+ years in ML/AI engineering, STEM degree, expertise in Python and ML frameworks required.
- Other info: Must thrive in a startup environment; risk-takers only!
The predicted salary is between 48000 - 72000 £ per year.
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
- Why You Should Join Tilt
- $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 Senior Machine Learning Engineer for 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. 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 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)
- 3+ 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
- 1+ 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.
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Senior Machine Learning Engineer, Toronto employer: Tilt
Contact Detail:
Tilt Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Machine Learning Engineer, Toronto
✨Tip Number 1
Familiarize yourself with the latest trends in AI and machine learning, especially those relevant to e-commerce. Being able to discuss recent advancements or case studies during your interview can demonstrate your passion and knowledge in the field.
✨Tip Number 2
Prepare to showcase your hands-on experience by discussing specific projects where you've taken ML systems from concept to deployment. Highlight any challenges you faced and how you overcame them, as this aligns with the startup environment they are looking for.
✨Tip Number 3
Since Tilt emphasizes collaboration, think of examples where you've worked closely with cross-functional teams. Be ready to explain how you contributed to high-impact features and how you can bring that collaborative spirit to their team.
✨Tip Number 4
Research Tilt's current products and think critically about potential improvements or new AI-driven features you could propose. This will show your proactive approach and genuine interest in shaping the future of their platform.
We think you need these skills to ace Senior Machine Learning Engineer, Toronto
Some tips for your application 🫡
Understand the Company Culture: Before applying, take some time to understand Tilt's mission and values. Highlight your passion for making fashion accessible and your excitement about working in a startup environment in your application.
Tailor Your CV: Make sure your CV reflects your experience in machine learning and AI engineering. Emphasize any projects where you've taken ML systems from 0 to 1 and your expertise in relevant technologies like Python, PyTorch, or TensorFlow.
Answer Application Questions Authentically: When filling out the application form, provide genuine answers that showcase your problem-solving skills and eagerness to learn. Use specific examples from your past experiences to illustrate your points.
Showcase Your Technical Skills: In your application, be sure to mention your hands-on experience with building and deploying scalable ML solutions. Discuss any relevant experience with high-traffic platforms or real-time systems, as this aligns with Tilt's needs.
How to prepare for a job interview at Tilt
✨Show Your Passion for AI/ML
Make sure to express your enthusiasm for AI and machine learning during the interview. Share specific projects you've worked on that demonstrate your hands-on experience and how they relate to the role at Tilt.
✨Demonstrate Problem-Solving Skills
Prepare to discuss challenges you've faced in previous roles and how you overcame them. Highlight your ability to think critically and solve problems without ego, as this aligns with the company's values.
✨Familiarize Yourself with Their Tech Stack
Research Tilt's tech stack, including Python, PyTorch/TensorFlow, AWS, and others. Be ready to discuss your experience with these technologies and how you can leverage them to build scalable AI solutions.
✨Embrace the Startup Culture
Since Tilt is a startup, be prepared to showcase your adaptability and willingness to take risks. Share examples of how you've thrived in fast-paced environments and your readiness to contribute to a rapidly growing team.
