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ML Engineering Partner
4 weeks ago
Adeptmind is an AI company based in Toronto, Canada doing a search in the retail space. We are on a mission to transform the way people discover and shop online. We're an AI-powered product discovery platform used by leading retailers around the world to create intelligent, intuitive, and conversion-driven e-commerce experiences.
Our lineage is very much AI-centric -- our last company Maluuba made the Siri competitor for Samsung, LG, Tesla, and General Motors. That company was sold to Microsoft in 2017 for $140M. Most engineers in Maluuba became millionaires as a result. This time around, we want to digitize shopping not just for e-commerce, but for all of retail.
building something exceptional: a next-gen product currently in R&D that's poised to become a powerful revenue engine. And we're looking for an ML Engineering Partner to help lead the way
If you're a builder at heart, a mentor by nature, and someone who wants to shape the future of intelligent discovery, this role is for you
Who We're Looking For
You're a builder. A problem-solver. Someone who can go deep into the weeds of machine learning, but also step back and see the bigger picture. You're not just looking for a job- you want to create, shape, and scale products that make a real-world impact.
This role is perfect for senior-level engineers with startup DNA, technical founders, or ML experts who want full ownership and room to innovate.
What You'll Do
Own the Full ML Lifecycle: Lead the design, development, and deployment of advanced ML systems
Solve Real-World Problems: Build scalable, production-grade models that directly power the next generation of e-commerce discovery experiences.
Work with Product, Engineering, and Data teams to bring ideas to life and translate business needs into technical solutions.
Fine-tune models for speed, accuracy, and scalability, ensuring they perform in high-traffic, real-world scenarios.
Mentor fellow engineers, contribute to technical direction, and help shape a culture of excellence, experimentation, and continuous learning.
Partner with the CTO and senior leadership to evolve our ML stack, data pipelines, and infrastructure for scale and impact.
What You Bring
Builder's DNA: You thrive in fast-paced, ambiguous environments and approach challenges with a product-first, entrepreneurial mindset.
7+ years of hands-on experience building, training, and deploying machine learning systems at scale.
Advanced knowledge in NLP, LLMs or Recommendation Systems
Strong Python programming skills and deep familiarity with leading ML frameworks such as PyTorch, TensorFlow, or equivalent.
Solid experience designing robust, scalable ML pipelines and taking models from experimentation to production in real-world environments.
(Bonus) Experience working on e-commerce, retail tech, or search and recommendation systems at scale.
Why You'll Love Working Here
We offer a competitive compensation package tailored to your experience and skillset.
Remote-first, human-first: Work from wherever you're most productive. Join a globally distributed team that values trust, autonomy, and collaboration.
At Adeptmind, we're not just building AI tools—we're reinventing how people discover and shop online. The problems are complex, the scale is massive, and the opportunity is unmatched.
A Final Word
We're not just another AI startup. At Adeptmind, we're building technology that will redefine the future of online shopping. If you're ready to own big problems, work with smart people, and build something meaningful, we'd love to meet you