Machine Learning Engineer (Coop) W2026

Penn Interactive Early Talent; Toronto; On-site; CAD 60,000 - 80,000; Full time

Job summary

A leading entertainment company in Toronto is seeking a Machine Learning Engineer intern. The role involves designing and developing machine learning pipelines, deploying models, and collaborating with various teams to enhance digital offerings in a fun, inclusive environment. Candidates should be enrolled in a related university degree and have skills in Python and Docker.

Benefits

Fun relaxed work environment

Culture of inclusion and diversity

Opportunity to work on large-scale applications

Qualifications

• Experience deploying applications using Docker and Kubernetes.
• Proficient with Python and SQL, with knowledge of Go or Rust being a plus.
• Familiarity with machine learning frameworks like TensorFlow or PyTorch.

Responsibilities

• Assist in the design and development of new machine learning pipelines.
• Help deploy models and deliverables in conjunction with team leaders.
• Implement ML ops best practices to improve the machine learning platform.

Skills

Proficient with Python

Experience in deploying applications using Docker

Understanding of machine learning pipelines

Education

Currently enrolled in a university degree in Computer Science or related field

Tools

Kubernetes

Terraform

GitHub

Job description

PENN Entertainment Inc. is North Americas leading provider of integrated entertainment sports content and casino gaming experiences. From casinos and racetracks to online gaming sports betting and entertainment content we deliver the experiences people want how and where they want them.

Were always on the lookout for those who are passionate about creating and delivering cutting-edge online gaming and sports media products. Whether its through ESPN BET Hollywood Casino theScore Bet Sportsbook & Casino or theScore media app were excited to push the boundaries of whats possible. These state-of-the-art platforms are powered by proprietary in-house technology a key component of PENNs omnichannel gaming and entertainment strategy.

When you join PENN Entertainments digital team youll not only work on these cutting-edge platforms through theScore and PENN Interactive but youll also be part of a company that truly cares about your career growth. Were committed to supporting you as you expand your skills and explore new opportunities.

With locations throughout North America you can build a future at PENN Entertainment wherever you are. If you want to challenge conventions in gaming media and entertainment we want to talk to you.

Work-term : January 5 2026 - April 24 2026

Number of Openings : 1

About the Role & Team

The Data Science & Machine Learning team is responsible for building models and APIs to help improve all of Penn Entertainments digital offerings. Our team values creativity collaboration ingenuity and a machine learning engineer you will get the opportunity to contribute to optimize and deploy many exciting models as well as help the team build net-new features into our machine learning platform.

Examples of some of our on-going projects :

• Recommendation engines : we want to direct users to content they want to see.
• Experimentation frameworks : we want to understand the impact our products have on users
• Chat-Toxicity Modelling : create an inclusive community chat environment.
• Cross-sell Likelihood : enable users to access the full range of Penn Entertainments offerings.
• Bot User Identification : fight fraud on Penn Entertainments digital offerings by identifying non-human users

About the Work

As a key member of our Machine Learning Engineering team you will :

• Assist in the design and development of new machine learning pipelines
• Help deploy models and deliverables in conjunction with functional team leaders and stakeholders (in Product Operations Marketing etc.)
• Improve our machine learning platform by implementing ML ops best practices.
• Conduct thorough testing and evaluation of new tools and technologies to assess their suitability for our platform.
• Communicate clearly and efficiently with technical and non-technical stakeholders.
• Write and maintain technical design and git / Confluence documentation.
• Other duties as required.

About You

• Currently enrolled in a university degree in Computer Science Data Science Statistics Computer Engineering or a related technical field.
• Experience in deploying applications using Docker Kubernetes Terraform GitHub and other relevant tools.
• Proficient with Python and SQL. Languages like Go Rust Scala R and C are nice-to-have.
• Proven expertise in setting up Continuous Integration / Continuous Deployment (CI / CD) pipelines for Machine Learning projects. Skilled in testing and validating code data data schemas and models.
• Demonstrated experience developing machine learning pipelines with orchestration tools like Airflow Kubeflow or Dagster.
• Extensive experience building and / or contributing to dbt projects.
• Experience developing and deploying machine learning solutions in a public cloud such as AWS Azure or Google Cloud Platform is preferred.
• Familiarity with popular machine learning frameworks such as TensorFlow PyTorch Caffe and / or Keras

Nice To Have

• Experience building real-time stream processing solutions with technologies such as Kafka Spark and Flink.
• Experience with virtual feature store technologies such as Featureform or Feast.
• Experience integrating with BI tools such as Mode Tableau Looker or
• Background in deploying and monitoring large language models (LLMs).

What We Offer :

• Fun relaxed work environment
• A voice. Were dedicated to open communication which empowers our employees to drive the companys culture
• A company that encourages a culture of inclusion and diversity
• Opportunity to work on large-scale consumer-facing applications with millions of users

Candidates residing in Ontario requiring special accommodation can email

Penn Interactive is committed to creating a diverse environment and is proud to be an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race color religion gender gender identity or expression sexual orientation national origin genetics disability or age.

Key Skills

Industrial Maintenance,Machining,Mechanical Knowledge,CNC,Precision Measuring Instruments,Schematics,Maintenance,Hydraulics,Plastics Injection Molding,Programmable Logic Controllers,Manufacturing,Troubleshooting

Employment Type : Full Time

Experience : years

Vacancy : 1