Machine Learning Developer
Toronto, Canada
Priceline
This role is eligible for our hybrid work model: Two days in-office.
Our Technology team is the backbone of our company: constantly creating, testing, learning and iterating to better meet the needs of our customers. If you thrive in a fast-paced, ideas-led environment, you’re in the right place.
Our ML Platform team is where smart solutions get created for the company. We build machine learning powered products that provide a core competitive edge over our competitors and they also contribute to the success of our business partners. We take pride in being excellent at our craft and employing our skills to the benefit of our customers. If you thrive in a fast-paced, ideas-led environment, you’re in the right place.
Why this job’s a big deal:
Have the opportunity to build and productionalize new machine learning solutions in a small but growing team within a large organization. Work at a company where the business is increasing investment in Machine Learning solutions and sees the solutions as a competitive advantage. Solve real world problems that span various domains within our business with ML solutions incorporating: Classification, Regression, NLP, GenAI, Computer Vision, Deep Learning, Forecasting, and Optimization.
In this role you will get to:
Partner with product management to identify challenges, scope ML opportunities, and design solutions
Understand business requirements and present technical solutions to non-technical team members
Collaborate with engineering, data science, and product teams to implement ML and GenAI solutions in production environments
Evaluate and improve existing machine learning models
Leverage Google Cloud Platform and VertexAI for model training and deployment
Enhance ML infrastructure and tools to keep us aligned with industry best practices.
Work with big and novel data by data wrangling, feature engineering, model building, and visualization
Process large quantities of data streamed from many different applications to test and build our models
Build DAGs, ETL pipelines, perform exploratory data analysis, and develop scalable solutions
Technologies used: Python, Tensorflow, Pytorch, Spark, Langchain, Pandas, Spacy and many other tools and libraries
Who you are:
Masters or PhD qualification in a quantitative field such as Computer Science, Machine Learning/ AI, Mathematics, Physics, Statistics, etc
3+ years of commercial/academic experience with demonstrated technical skills in one or more of the following areas: NLP, Classification, Statistical Modelling, Deep Learning, GenAI, and Forecasting
Professional experience developing, deploying, and evaluating machine learning in an industrial setting, with a track record of delivering impactful results
Proficient developing in Python, SQL
Experience with ML/AI Frameworks and tools: PyTorch, Tensorflow, Sci-kit Learn, XGBoost, Pandas, Numpy and Flask, Langchain, Spark/Pyspark, Langchain
Experience with Google Cloud Platform - Vertex AI or other cloud platforms for ML implementation
Experience working with BigQuery, Composer, DAGs, Spark/Pyspark and other data tools
Eagerness to learn new techniques, technologies, solve problems and contribute in a team environment
Great interpersonal skills and experience working with cross functional teams
Illustrated history of living the values necessary to Priceline: Customer, Innovation, Team, Accountability and Trust.
The Right Results, the Right Way is not just a motto at Priceline; it’s a way of life. Unquestionable integrity and ethics is essential.
#LI-JB1 #LI-Hybrid
Who we areWE ARE PRICELINE.Our success as one of the biggest players in online travel is all thanks to our incredible, dedicated team of talented employees. Priceliners are focused on being the best travel deal makers in the world, motivated by our passion to help everyone experience the moments that matter most in their lives. Whether it’s a dream vacation, your cousin’s graduation, or your best friend’s wedding - we make travel affordable and accessible to our customers.
Our culture is unique and inspiring (that’s what our employees tell us). We’re a grown-up, startup. We deliver the excitement of a new venture, without the struggles and chaos that can come with a business that hasn’t stabilized.
We’re on the cutting edge of innovative technologies. We keep the customer at the center of all that we do. Our ability to meet their needs relies on the strength of a workforce as diverse as the customers we serve. We bring together employees from all walks of life and we are proud to provide the kind of inclusive environment that stimulates innovation, creativity and collaboration.
Priceline is part of the Booking Holdings, Inc. (Nasdaq: BKNG) family of companies, a highly profitable global online travel company with a market capitalization of over $80 billion. Our sister companies include Booking.com, BookingGo, Agoda, Kayak and OpenTable.
If you want to be part of something truly special, check us out!
Flexible work at PricelinePriceline is following a hybrid working model, which includes two days onsite as determined by you and your manager (ideally selecting among Tuesday, Wednesday, or Thursday). On the remaining days, you can choose to be remote or in the office.
Diversity and Inclusion are a Big Deal!To be the best travel dealmakers in the world, it’s important we have a workforce that reflects the diverse customers and communities we serve. We are committed to cultivating a culture where all employees have the freedom to bring their individual perspectives, life experiences, and passion to work.
Priceline is a proud equal opportunity employer. We embrace and celebrate the unique lenses through which our employees see the world. We’d love you to join us and add to our rich mix!
Applying for this position
We're excited that you are interested in a career with us. For all current employees, please use the internal portal to find jobs and apply.
External candidates are required to have an account before applying. When you click Apply, returning candidates can log in, or new candidates can quickly create an account to save/view applications.
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: BigQuery Classification Computer Science Computer Vision Data analysis Deep Learning EDA Engineering ETL Feature engineering Flask GCP Generative AI Google Cloud Industrial LangChain Machine Learning Mathematics ML infrastructure ML models Model training NLP NumPy Pandas PhD Physics Pipelines PySpark Python PyTorch Scikit-learn spaCy Spark SQL Statistics TensorFlow Testing Vertex AI XGBoost
Perks/benefits: Flex hours Flex vacation Startup environment
More jobs like this
Explore more career opportunities
Find even more open roles below ordered by popularity of job title or skills/products/technologies used.