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Job Title


Senior Machine Learning Applied Scientist Prenuvo HQ - Vancouver - AI


Company : Socotra, Inc.


Location : Vancouver, Metro Vancouver Regional Distr


Created : 2025-06-21


Job Type : Full Time


Job Description

About UsAt 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 peoples lives!What Youll DoDesign, 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 denoisingCollaborate 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 customersStay up-to-date with the latest advances in machine learning and data science, and apply these techniques to our work as appropriateParticipate in code reviews and help ensure that code quality and best practices are maintained across the teamWork with cross-functional teams to ensure that our data science solutions are well integrated with other products and servicesWhat Youll BringMaster's or PhD degree in Computer Science, Statistics, Mathematics, Physics, or a related field5+ years of industry experience in machine learning or related fieldStrong background in machine learning, deep learning, and computer visionExperience with unsupervised learning techniques such as autoencoders, generative models, and contrastive learningExperience with label noise mitigation techniques, such as co-teaching or mentor-guided learningFamiliarity with transformer-based architectures such as BERT or GPTExperience with diffusion denoising techniquesStrong programming skills in Python and proficiency with popular machine learning libraries such as PyTorch or TensorFlowStrong communication and teamwork skillsNice to Have:Familiarity with cloud computing platforms such as AWS or Google CloudExperience with medical imaging and/or healthcare dataStrong publication record in top-tier machine learning or computer vision conferences/journalsOur ValuesFirst: we are PioneersTransforming 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-BuildersWere always building foundations that allow us to achieve tomorrow more than we did today. We never lose sight of whats ahead in a mindset of ownership and duty to our mission.Above all: we are PatientsWe 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 wont stop till everyone can benefit from our workWhat We OfferAn avenue to make a positive impact on people's lives and their healthWe believe in preventative healthcare for everyone, including our team - Prenuvo provides free, whole-body scans to each team memberGrowth opportunities are at the heart of our people journey, were doing big things with bright minds - there is no single path to success, it can be shaped along the wayBuilding strong relationships is at the core of everything we do - our team gets together each week to connect, share, and socializeRecognizing time away to restore is vital to our wellbeing - we have a flexible vacation policy and we will encourage you to use itWe now offer the Prenuvos Commuter Benefits Plan to help cover your transit and parking costs. Whether you ride, drive, or park, weve got you coveredmaking 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 familyThe base salary for this role ranges from $150,000 to $218,000 in local currency, depending upon experienceThis 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 . #J-18808-Ljbffr