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Machine Learning Lead - London, UK or Toronto/Waterloo, Canada

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Tilt

10d ago

  • Job
    Full-time
    Senior Level
  • Data
    IT & Cybersecurity
  • Waterloo

AI generated summary

  • You should have 5+ years in ML/AI engineering, experience deploying solutions at scale, a STEM degree, expertise in Python and ML frameworks, and familiarity with AWS and PostgreSQL.
  • You will design and deploy AI features for e-commerce, collaborate with teams on high-impact projects, build scalable AI infrastructure, and provide technical guidance to engineers.

Requirements

  • You must be an ambitious, curious, relentless and no ego problem-solver excited to build the future of shopping. Additionally:
  • 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

Responsibilities

  • 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

FAQs

What is the main goal of the Machine Learning Lead role at Tilt?

The main goal is to own and drive AI/ML initiatives, designing, developing, and deploying AI-driven features for e-commerce while providing guidance and mentorship to the team.

What qualifications are required for this position?

Candidates must have a Bachelor's degree in a STEM major, over 5 years of hands-on experience in ML/AI engineering, and proven expertise in building and deploying solutions at scale.

Is this a management position?

No, this is not a management or research position; it is a hands-on role focused on building and scaling AI solutions.

What programming languages and frameworks should candidates be familiar with?

Candidates should be proficient in Python and have experience with ML frameworks like PyTorch or TensorFlow.

What are the preferred infrastructure and tech stack experience for this role?

Familiarity with AWS, OpenSearch, PostgreSQL, and Snowflake is preferred.

What type of experience is considered a bonus for this job?

Bonus experience includes working with high-traffic, real-time platforms and having 3+ years of experience in high-growth, fast-paced environments.

What are some of the perks and benefits associated with this role?

Perks include a competitive salary, stock options, and a MacBook Pro with a tech budget.

Where is the job location for the Machine Learning Lead position?

The position can be located in London, UK, or Toronto/Waterloo, Canada.

What type of work environment does this position offer?

The role offers an innovative and fast-paced work environment focused on building the future of shopping.

How should candidates apply for the position?

Candidates should apply with their CV and provide authentic answers to the questions in the application form.

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Tilt

Shop like never before 🛸

Technology
Industry
1-10
Employees

Mission & Purpose

Tilt is a company that focuses on creating and providing technology solutions for project management and collaboration. The core of their offerings lies in developing applications and platforms that facilitate team coordination, task management, and project planning. Tilt's ultimate goal is to be a leading provider of user-friendly and efficient tools that enhance teamwork and project efficiency. Their purpose centres around enabling teams to collaborate seamlessly, improving communication and productivity in the workplace. Through their applications, Tilt aims to contribute to creating work environments where projects are managed more effectively, fostering innovation and successful outcomes.