Machine Learning Scientist

Join us as a Machine Learning Scientist — a key team member shaping the company's R&D efforts and defining the future of AI-driven e-commerce solutions.

Please note that this position is available only to those who are legally eligible to work in Canada. Unfortunately, we are not able to sponsor visas or work permits at this time.

Ecomtent is a fast-growing, venture-backed startup optimizing e-commerce for the future of AI-powered search
. Backed by leading Canadian and UK VCs, Techstars+ eBay, we partner with some of the world’s largest retailers and e-commerce brands to revolutionize how products are sold, marketed, and advertised online. Learn more about our mission and recent funding here:
Ecomtent closes $1.15M CAD in pre-seed funding.

Why This Role is Unique:

Joining Ecomtent as a Machine Learning Scientist means becoming part of the core team driving our success. You’ll have the autonomy to innovate, the resources to execute, and the opportunity to leave a lasting mark on the future of AI and e-commerce.

What You’ll Do:

• Research and develop advanced techniques to improve product ranking and brand visibility within AI-driven search engines.
• Innovate in areas such as LLMs, RAG, diffusion models, and controllable image generation to enhance e-commerce workflows.
• Fine-tune and deploy pre-trained models for specific e-commerce use cases.
• Build scalable pipelines for data collection, model training, and real-time inference on cloud infrastructure.
• Analyze AI search engine behavior (e.g., Amazon Rufus, ChatGPT, Google Gemini) to identify optimization opportunities.

• Research experience in Computer Science, AI, or related fields, with a focus on natural language processing, generative AI, or multimodal learning.
• Strong programming skills in Python, with expertise in frameworks such as PyTorch or Tensor Flow.
• Hands-on experience with cloud platforms like AWS and Google Cloud for AI model deployment.
• A demonstrated ability to translate cutting-edge research into practical applications.
• Desirable: familiarity with the e-commerce domain or prior experience optimizing content for search engines.

Innovation: Work on cutting-edge Generative AI technology revolutionizing how products are optimized for AI-powered search engines.

Impact: Be a foundational team member, shaping company R&D efforts.

Resources: Access to advanced cloud platforms and computational resources.

Ownership: Receive meaningful equity and a stake in our success.