Sr Machine Learning Engineer - Neuro Squad at Stay22
Montréal, QC, Canada -
Full Time


Start Date

Immediate

Expiry Date

16 Nov, 25

Salary

0.0

Posted On

16 Aug, 25

Experience

2 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

No

Skills

Machine Learning, Nlp, Sql, Computer Science, Data Science, Data Cleaning, Onboarding, Statistics, Training, Data Mining, Platforms, Pandas, Python, Visualization, Deep Learning

Industry

Information Technology/IT

Description

ABOUT STAY22

At Stay22, we’re revolutionizing how people convert online. Our AI-powered affiliate platform helps publishers, ticketing platforms, and content creators unlock new revenue streams while levelling up their audience’s user experience. At Stay22, our partners don’t just earn more, they deliver more. Join us and be part of something big that’s shaking up the affiliate world.

POSITION OVERVIEW

At Stay22, we are pioneering the future of travel and content monetization with Machine Learning and Artificial Intelligence. We’re on a mission to help content creators turn their influence into a powerful business, and we need a Senior Machine/Deep Learning Engineer to lead the charge. In this role, you’ll leverage cutting-edge technologies, build scalable ML solutions, and collaborate with teams across Stay22 to deliver insights and innovations that change how the world travels. This is not just a job - it’s an opportunity to shape the future of travel technology!

REQUIREMENTS

  • M.S. in Computer Science, Machine Learning, Data Mining, Statistics, or related technical field
  • 6+ years of experience in Machine Learning, Data Science, or a related field, with at least 2 years in both deep learning and software engineering
  • Strong expertise in developing ML models for tabular data predictions, with proficiency in Python and libraries like TensorFlow, PyTorch, and scikit-learn
  • Strong Math skills, Python numerical libraries and SQL
  • In-depth knowledge of NLP, LLMs, Transformers, and modern ML techniques like CNNs, LSTMs/RNNs, and gradient boosting
  • Experience with platforms such as Google Vertex AI and Amazon SageMaker for training, deploying, and managing models at scale
  • Proven ability to implement and fine-tune LLMs, including expertise in custom embeddings, transformers, and fine-tuning techniques like LoRA
  • Strong data science background, including statistical analysis, data cleaning, and visualization with tools like pandas, matplotlib
  • Hands-on experience deploying machine learning models in production, collaborating with cross-functional teams, and ensuring seamless integration into broader product ecosystems
  • Passion for staying up-to-date with the latest in ML/DL and AI technologies and integrating them into real-world applications
Responsibilities
  • Lead the development and deployment of machine learning models for forecasting and prediction based on tabular data
  • Harness the power of LLMs to enhance predictions and unlock new features for Stay22 products
  • Apply statistical analysis and data science methodologies to derive actionable insights from large datasets, always keeping an eye on optimizing user experiences and driving growth toward our key metrics.
  • Spearhead ML projects end-to-end, from conception through deployment, always exploring new technologies to stay ahead of the curve
  • Collaborate closely with engineering, product, and business teams to integrate machine learning solutions seamlessly into our ecosystem, ensuring that every ML initiative drives real business value
  • Contribute to building onboarding tools and infrastructure to make ML resources accessible across the organization, fostering a culture of innovation
  • Focus on creating low-maintenance, production-ready ML solutions, balancing the needs of scalability, maintainability, and rapid deployment
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