Senior Machine Learning Applied Scientist

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, Seattle, Minneapolis, Los Angeles, San Diego, 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 Machine Learning Applied Scientist. You will be responsible for designing, implementing, and evaluating machine learning models for a variety of applications, with a focus on addressing challenges related to label noise, unsupervised learning, and diffusion denoising. In this role, you will collaborate closely with other members of our AI team, as well as with radiologists, product managers, and support engineers, to build end-to-end analytics solutions that deliver actionable insights to our customers. 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

• Design, implement, and evaluate machine learning models for a variety of applications, with a focus on addressing challenges related to label noise, unsupervised learning, and diffusion denoising
• Collaborate with other members of our AI team, as well as with radiologists, product managers, and support engineers, to build end-to-end analytics solutions that deliver actionable insights to our customers
• Stay up-to-date with the latest advances in machine learning and data science, and apply these techniques to our work as appropriate
• Participate in code reviews and help ensure that code quality and best practices are maintained across the team
• Work with cross-functional teams to ensure that our data science solutions are well integrated with other products and services

What You’ll Bring

• Master’s or PhD degree in Computer Science, Statistics, Mathematics, Physics, or a related field
• 5+ years of industry experience in machine learning or related field
• Strong background in machine learning, deep learning, and computer vision
• Experience with unsupervised learning techniques such as autoencoders, generative models, and contrastive learning
• Experience with label noise mitigation techniques, such as co-teaching or mentor-guided learning
• Familiarity with transformer-based architectures such as BERT or GPT
• Experience with diffusion denoising techniques
• Strong programming skills in Python and proficiency with popular machine learning libraries such as PyTorch or TensorFlow
• Strong communication and teamwork skills

Nice to Have:

• Familiarity with cloud computing platforms such as AWS or Google Cloud
• Experience with medical imaging and/or healthcare data
• Strong publication record in top-tier machine learning or computer vision conferences/journals

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 now offer the Prenuvo’s Commuter Benefits Plan to help cover your transit and parking costs. Whether you ride, drive, or park, we’ve got you covered—making your commute easier and more affordable! 
• Retirement made easy! We offer a 401(k) plan to our US employees to  help you save for the future, with company contributions to support your financial goals. Plan for tomorrow while you grow with us today!
• 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 $150,000 to $218,000 in local currency, depending upon experience
  

This role will be hybrid (3-4 days per week) based in our Vancouver office.

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 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 [email protected].