Sr Machine Learning Engineer - Neuro Squad

Reposted 14 Days Ago
Be an Early Applicant
Montréal, QC
In-Office
Senior level
Travel • Hospitality
The Role
The Sr Machine Learning Engineer will lead the development of ML models, leverage LLMs, and collaborate with teams to enhance travel technology solutions.
Summary Generated by Built In

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!

Key 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

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

What to Expect from our Hiring Process

We know your time’s valuable, so here’s the quick rundown of what to expect.

  1. Screening call with our Talent Acquisition Partner (30-45 minutes)

  2. Collaborative coding session oriented on Machine Learning (Jupyter Notebook) with the Engineering Team (60 minutes)

  3. Final interview with our CEO (30 minutes)

  4. Offer & onboarding 🎉

Please note that this process is subject to change at any point, based on additional requirements from the team.

Why join Stay22?

  • 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)

Top Skills

Amazon Sagemaker
Google Vertex Ai
Matplotlib
Pandas
Python
PyTorch
Scikit-Learn
SQL
TensorFlow
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The Company
Montreal, Quebec
41 Employees
Year Founded: 2016

What We Do

Stay22 offers easily embeddable tech tools to help travel content creators monetize their channels and expand their revenue streams. Instantly convert all of your accommodation deeplinks past, present, and future to start earning commission revenues on them today with Stay22. Partnered with all major online travel booking agencies from Booking.com to Trivago, Expedia, Hotels.com, VRBO and Kayak (among others), content creators have access to millions of monetizable inventory or listings. Coupled with our free-to-use partner dashboard “The Hub” Stay22 adds the back-end visibility to help you make sure you are getting the best performance out of your deeplinks and what kind of content your audience responds to. From interactive maps, listing carousels, affiliate lists, and AI-driven scripts, Stay 22 can help readers book travel faster, while giving commission to YOU, the content creators each time they do.

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