Senior Software Engineer, Machine Learning Infrastructure

We are looking for a Senior Software Engineer with experience in working on machine learning infrastructure and tooling, to help streamline and scale our data science and machine learning workflows.

Help reshape the world through proactive healthcare while working with cutting-edge technology and high performing teams with deep expertise – join us to make a difference in people’s lives!

What You’ll Do

• Lead the design and implementation of secure, scalable, and reliable ML infrastructure, focusing on data ingestion, training and inference pipelines, active learning, and reproducible data transformations.
• Design and manage CI/CD pipelines for ML training, development, and deployment workflows.
• Package, test, build, and deploy containers and ML artifacts to ensure efficient, clean, and reproducible ML workflows.
• Establish best practices for automation, monitoring, and scaling of ML lifecycle steps.
• Collaborate with ML scientists, engineers, and radiologists to turn research prototypes into production-ready systems.
• Produce and maintain documentation to support regulatory clearances (FDA, IDE, etc.).

What You’ll Bring:

• Bachelor’s or Master’s degree Computer Engineering, Computer Science or a related field
• At least 5 years of software engineering experience, on or adjacent to machine learning engineering teams
• Proficiency in Python language, tooling, and ecosystem for dependency management, packaging, testing, and deployment of production-quality code (e.g., Poetry, Pytest, Pylint)
• Hands-on experience with at least one of the mainstream deep learning frameworks and their ecosystem (e.g., for data pre-processing and distributed training) such as Tensorflow and PyTorch
• Proven experience with CI/CD for automated testing and deployment of ML pipelines and services (e.g., Airflow, Github Actions, Jenkins)
• Familiarity with a ML workflow platform (e.g., MLFlow, Weights and Biases, SageMaker)
• An unwavering sense of ownership and collaboration, emphasis on quality and engineering rigor, and adaptability in a fast-paced environment

Nice to Have

• Familiarity with ML and CV packages like TensorFlow, PyTorch, OpenCV.
• Experience with medical image analysis.
• Understanding of web development frameworks and microservices (e.g., FastAPI, REST, gRPC).

What We Offer

• An avenue to make a positive impact on people’s lives and their health
• We believe in preventative healthcare for everyone, including our team – Prenuvo provides free, whole-body scans to each team member
• Growth opportunities are at the heart of our people journey, we’re doing big things with bright minds – there is no single path to success, it can be shaped along the way
• Building strong relationships is at the core of everything we do – our team gets together each week to connect, share, and socialize
• Recognizing time away to restore is vital to our wellbeing – we have a flexible vacation policy and we will encourage you to use it
• We offer a comprehensive benefits package including health, dental, vision, including Mental Health coverage, to support you and your family
• The base salary for this role is $131,000- $197,000 CAD, depending upon experience
• We are an equal-opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.

As part of the hiring process, successful candidates will undergo a background check in compliance to applicable federal, provincial, and state rules.