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A leading travel technology firm is seeking a Senior Machine/Deep Learning Engineer in Montreal to lead AI solutions that enhance travel experiences. This role involves developing scalable ML models, collaborating across teams, and ensuring seamless integration of machine learning solutions. Ideal candidates will have over 6 years of experience in ML and deep learning, a relevant Master's degree, and proficiency in Python and ML tools. Enjoy a vibrant office culture with comprehensive benefits.
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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!
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
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
We know your time’s valuable, so here’s the quick rundown of what to expect.
Screening call with our Talent Acquisition Partner (30-45 minutes)
Collaborative coding session oriented on Machine Learning (Jupyter Notebook) with the Engineering Team (60 minutes)
Final interview with our CEO (30 minutes)
Offer & onboarding
Please note that this process is subject to change at any point, based on additional requirements from the team.
Support Travel Creators: Be part of a team that empowers travel creators to explore the world by increasing their passive income potential.
Empower Your Growth: We hire champions and give them the opportunity to excel, skipping levels and honing their superpowers.
Lead with Impact: We empower our team members to take charge and make a real impact in the Stay22 universe.
Location, Location, Location: Enjoy our bright and vibrant office in the heart of Little Italy, surrounded by great shops and restaurants
Be Yourself: Embrace a come-as-you-are dress code and a flexible work schedule.
Comprehensive Benefits: We offer health & dental benefits, retirement plans, learning & development opportunities, and social & team-building activities, including exciting retreats.
Stay22 is an equal-opportunity employer. All qualified applicants are given consideration. If you have a disability or particular need that requires accommodation, please contact us at careers at stay22.com