Senior Software Engineer, Machine Learning Infrastructure
Vancouver, British Columbia, Canada
Applications have closed
Prenuvo
At Prenuvo, we provide whole body, radiation-free MRI scans in order for our patients to focus on early detection of over 500 cancers and diseases.About Us
At Prenuvo, we are on a mission to flip the paradigm from reactive “sick-care” to proactive health care. Our award-winning whole body scan is fast (under 1 hour), safe (MRI has no ionizing radiation), and non-invasive (no contrast). Our unique integrated stack of optimized hardware, software, and increasingly AI, coupled with the patient-centric experience of our clinics across North America, have allowed us to lead the charge against “we caught it too late again.” Prenuvo operates preventative screening clinics in Vancouver, Silicon Valley, Dallas, Houston, Boca Raton, Minneapolis, Los Angeles, New York City, Buffalo, Bethesda, Chicago, and Atlanta, with more clinics in North America and internationally in the next 2 years.
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).
Our Values
First: we are Pioneers
- Transforming healthcare requires divergent thinking, bias for action, disciplined experimentation, and consistent grit and determination to maintain momentum. This journey is as challenging as it is rewarding.
Second: we are Platform-Builders
- We’re always building foundations that allow us to achieve tomorrow more than we did today. We never lose sight of what’s ahead – in a mindset of ownership and duty to our mission.
Above all: we are Patients
- We could all be the next person who walks through our very doors, seeking clarity or peace of mind. We are proud of our impact on our patients’ lives, and we won’t stop till everyone can benefit from our work.
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 ranges from $140,000-$210,000 in local currency, 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.
Please be advised that official communication from our recruitment team will only come from our authorized domain [prenuvo.com]. If you are contacted by a recruiter, please ensure their email address ends with @prenuvo.com. We do not use third-party recruitment services or any other email domains for hiring purposes. If you receive communication that you believe to be fraudulent, please report it immediately to jobs@prenuvo.com.
Tags: Airflow CI/CD Computer Science Deep Learning Engineering FastAPI GitHub Jenkins Machine Learning Microservices MLFlow ML infrastructure OpenCV Pipelines Python PyTorch Research SageMaker TensorFlow Testing
Perks/benefits: Career development Flex hours Flex vacation Health care Startup environment
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