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, Boca Raton, Minneapolis, Los Angeles, New York City, Bethesda, Chicago, and Atlanta, with more clinics in North America and internationally in the next 2 years.

The Opportunity

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

We empower - We are all agents for change in transforming healthcare and in transforming our health

We work together - We work together to support and deliver the best for our members and ourselves

We bring transparency - Positive change comes from transparency in where we stand as a company, as colleagues and as Prenuvo members

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 $150,000 to $200,000 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 and state rules.