Senior Machine Learning Developer

Unity Technologies; Canada; Remote; CAD 152,000 - 230,000; Full time

Job summary

A leading technology firm in Canada is seeking a Senior Machine Learning Developer to design and deploy scalable ML systems for their advertising platform. This role involves collaborating with various teams to enhance ML capabilities, requiring extensive experience with cloud infrastructure and production-grade ML frameworks. The ideal candidate will have a strong background in machine learning and MLOps, with proficiency in Python and familiarity with tools like PyTorch and TensorFlow. Competitive salary range CAD 152,900—CAD 229,300.

Qualifications

• Extensive hands-on experience designing and deploying ML systems at scale.
• Strong track record in building ML platforms and infrastructure.
• Familiarity with robust MLOps practices and cloud ML deployment.

Responsibilities

• Design, develop, and deploy scalable production-grade ML systems.
• Contribute to the technical roadmap and design of ML platform.
• Partner with teams to align ML capabilities with business goals.

Skills

Machine Learning

MLOps

Python

Golang

Kubernetes

NVIDIA Triton Inference Server

Education

Background in Computer Science, Machine Learning or Statistics

Tools

PyTorch

TensorFlow

Job description

The opportunity

At Unity, we’re committed to building a culture that fosters collaboration and innovation. Within our fast-paced environment, we’re tackling complex challenges that drive meaningful impact for creators and users across our ecosystem. Our Ads Applied Research team plays a crucial role in shaping the future of Unity’s monetization products through cutting-edge Machine Learning and optimization strategies.

We are seeking a Senior Machine Learning Developer to make significant contributions to the next-generation of ML systems for Unity Ads. In this role, you will focus on building the next-generation ML platform that powers our high-scale ad-tech models, from training to inference. You will be deeply involved in the design, development, and deployment of ML models and the underlying platform, collaborating closely with product, engineering, and research teams to advance our ML capabilities.

What you\'ll be doing

• Design, develop, and deploy scalable, production-grade ML systems and the platform components that support them, to optimize ad delivery, bidding strategies, and user engagement.
• Contribute significantly to the technical roadmap and design of our ML platform, focusing on solutions for training and inference of high-scale ad-tech models.
• Translate state-of-the-art research into practical, scalable solutions for our ML platform and models, ensuring Unity remains at the forefront of ML performance and innovation in the ad tech space.
• Partner cross-functionally with data science, product, and engineering teams to align ML platform capabilities and model development with strategic business goals.
• Collaborate on defining and refining requirements for data infrastructure, MLOps tooling, and processes to support advanced ML initiatives and the ML platform.
• Promote and implement best practices for model development, testing, deployment, monitoring, and overall MLOps within the new platform.
• Specifically focus on building and enhancing the ML platform capabilities for training, versioning, deploying, and serving high-scale ad-tech models, leveraging technologies such as Golang for performance-critical services and NVIDIA Triton Inference Server for optimized model serving.

What we\'re looking for

• Background in Computer Science, Machine Learning, Statistics or a related field.
• Extensive hands-on experience designing, deploying, and maintaining ML systems at scale, including managing cloud infrastructure on GCP and orchestrating workloads with Kubernetes.
• Strong track record building ML platforms and infrastructure, including MLOps best practices — from data pipelines and model training workflows to serving and observability — with hands-on experience using tools like NVIDIA Triton Inference Server.
• Expertise in Python and familiarity with production-grade ML frameworks (such as PyTorch or TensorFlow), as well as modern ML architectures (transformer-based models, embeddings, retrieval-augmented pipelines).
• Familiarity with robust MLOps practices, data pipelines, and cloud ML deployment, including model serving and monitoring.
• Excellent communication and collaboration skills, with an ability to articulate technical concepts to both technical and non-technical audiences.

You might also have

• Experience with Golang for building high-performance ML systems/infrastructure.
• A forward-thinking mindset, always seeking opportunities to innovate and improve processes.
• A passion for mentoring and supporting teammates, fostering a culture of collaboration and shared success.
• Experience in ad tech or other performance-critical domains like recommender systems or real-time personalization.

Additional information

• International relocation support is not available for this position.
• Work visa/immigration sponsorship is not available for this position.

Life at Unity

Unity [NYSE: U] is the leading platform to create and grow games and interactive experiences. Creators, ranging from game developers to artists, architects, automotive designers, infrastructure experts, filmmakers, and more, use Unity to bring their imaginations to life across multiple platforms, from mobile, PC, and console, to spatial computing.

As of the third quarter of 2024, more than 70% of the top 1,000 mobile games were made with Unity, and in 2024, Made with Unity applications had an average of 3.7 billion downloads per month. For more information, please visit Unity.

Unity is an equal opportunity employer. We are committed to fostering an inclusive, innovative environment and celebrate our employees across age, race, color, ancestry, national origin, religion, disability, sex, gender identity or expression, sexual orientation, or any other protected status in accordance with applicable law. If you have a disability that requires accommodations to ensure a positive interview experience, please fill out this form to let us know.

This position requires sufficient knowledge of English to communicate with colleagues and partners located worldwide.

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Note: Certain locations require a good faith disclosure of the base salary range for the role. The actual salary for the successful candidate may differ based on location, experience, and other job-related factors.

Base salary range: CAD 152,900—CAD 229,300