Senior Machine Learning Engineer

How you’ll make an impact:

• Explore, design, and build AI prototypes capable of significantly altering our users’ experiences

• Work in close collaboration with Product Owner (Product Manager, Stakeholders) and Data Scientists to capture product requirements and design ML/AI based solutions,   build and deliver in production ML/AI solutions, test new algorithms, provide feedback on their performance, accuracy, and scalability, and alsoalso suggest alternatives.

• Contributing to LLM-based initiatives to support business growth and dating user experience 

• Write optimized code that is performant, scalable, testable, maintainable, and observable

• Design scalable solutions to productionize machine learning models

• Develop tools and pipelines for tracking models and experiments

• Design and implement data pipelines that ingest vast amounts of real-time data to power models and generate accurate results

• Manage ML models/Agent lifecycle, including versioning, training, retraining, deploying, and monitoring

• Be responsible for maintaining and operating algorithms, code, and models in production and monitor models in production to make sure that they are functioning and report on any anomalies

• Research/Investigate tools and technologies that would enable us to build and release faster

• Lay out best practices for the ML engineering functional role

• Evangelize a data-driven culture and participate in a highly collaborative environment. We want you to share your expertise!

We may be a Match if:

• B.S., M.S or PhD in computer science (or a scientific discipline coupled with substantial engineering experience)

• Minimum of 5+ years post-graduation experience as a Machine Learning Engineer, Software Engineer with algorithm experience, Data Scientist, or similar. 

• Minimum of 3+ years of experience building and productionalizing ML pipelines and solutions within a commercial application in collaboration with a product owner and deploying and operating LLM solutions to support business feature development

• Minimum of 3+ years of experience supporting Data Scientists in the development and evaluation of ML models and their productionalization

• Significant experience in cutting-edge deep learning techniques and associated tools (such as PyTorch/Tensorflow)

• Excellent programming skills with a history of deployment to production, and you have a proven track record of scaling and productionizing machine learning solutions and models

• Solid understanding of mathematical modeling and statistics: inference, Bayesian methods, graphical models, network theory, likelihood estimation, Monte-Carlo methods, and sampling theory

• Understanding of how to optimize machine learning models (parallelization, batching techniques, etc)

• Ability to rapidly acquire and adopt new knowledge and techniques but also thinks creatively about problems and is not afraid to go “outside the box”

• Proficient with standard SQL and relational databases

• Familiarity with Python and associated data science/machine learning packages

• Comfortable working independently on large projects (demonstrated via industry or academic experience) or as part of a diverse team of different skills as necessary

• Ability to see the “big picture” and how your work relates to E&E’s entire business - and the ability to prioritize your research work accordingly

• Experience with GCP or other cloud providers

• Generous vacation, flex days, professional development days
• RRSP matching, and employee stock purchase plan
• Professional development budget and unlimited access to Udemy from day one
• Match Group mentorship program
• Parental leave top up and fertility preservation benefits
• Extended health & dental benefits from day one
• Corporate ClassPass membership and other wellness benefits