Job Description

Match Group's Evergreen and Emerging (E&E) group is one of the world's leading online dating groups, comprising a large and prestigious dating portfolio (OkCupid, Match.com, Meetic, PlentyOfFish, Affinity, etc.) with millions of daily active members. We are based in Vancouver with a strong worldwide collaboration with other brands within the Match Group (NASDAQ: MTCH) like Tinder and Hinge.

As a Senior Machine Learning Engineer, you will work as part of our ML/AI Squad, working across the organization on strategic and challenging projects to support E&E companies to archive their business objectives. Working alongside Data Scientists, Data Engineers, BI, Architects and Product Managers, you will be leading the next generation of agent base solutions that will have a direct positive impact on our millions of daily users. Additionally you will be solving complex problems that keep us awake at night such as how to keep winning the war on Fraud, how do we improve our matching algorithms and search, and how do we get a fundamental understanding of what makes our users happy and successful? When it comes to dating, the connection starts online, but the real magic happens once you meet in real life. We think the same is true for creating the best platforms, so we work together IRL in Vancouver offices three days a week.###

How You'll Make an Impact:

Explore, design and build AI prototypes capable of significantly altering our users' experiences Work in close collaboration with Data Scientists to build and deployed in production ML solutions/agents, test new algorithms, provide feedback on their performance, accuracy and scalability, also suggest alternatives. 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, codes 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 Layout best practices for ML engineering functional role Evangelize a data-driven culture and participate in a highly collaborative environment. We want you to share your expertise!
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We Could Be a Match if You Have:

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 experience building and productionalizing agent based solutions within a commercial application in collaboration with product owner and deploying and operating LLM solutions to support business feature development Significant experience in cutting edge deep learning techniques and associated tools (such as PyTorch/Tensorflow) Excellent programming skills with 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 not afraid to go "outside the box" Proficient with standard SQL and relational databases Familiarity with Python and associated data science/machine learning packages Comfortability 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 POF's entire business - and the ability prioritize your research work accordingly Experience with GCP or other cloud providers

The compensation range listed above is representative of the base salary offered.



Factors such as scope and responsibilities of the position, candidate's work experience, education/training, job-related skills, internal peer equity, as well as market and business considerations may influence base pay offered. This salary range is reflective of a position based in Vancouver, BC. This salary will be subject to a geographic adjustment (according to a specific city and state), if an authorization is granted to work outside of the location listed in this posting.

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Why Match Group?

Our mission is simple - to help people find love and happiness! We love our employees too and understand the importance of all life's milestones. Here are some of the benefits we are proud to offer:
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 And many more on our careers page
We are proud to be an equal opportunity employer and we value the rich dynamics that diversity brings to our company. We do not discriminate on the basis of race, religion, color, creed, national origin, ancestry, disability, marital status, age, sexual orientation, sex (including pregnancy and sexual harassment), gender identity or expression, uniformed service or veteran status, genetic information, or any other legally protected characteristic. Period. If you require a reasonable accommodation to participate in the hiring process -- such as during pre-employment testing or interviews -- please indicate this by selecting "Yes" in the accommodation request field. We'll reach out to discuss your needs if you're selected for the interview stage. #MG