Team Lead, Machine Learning

Vancouver, British Columbia, Canada

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.

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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.” We are changing healthcare and bringing a slow moving goliath of an industry into the present while blazing a trail into the future of radiology and clinical operations through software, automation and AI. Prenuvo operates preventative screening clinics in Vancouver, Silicon Valley, Dallas, Boca Raton, Minneapolis, Los Angeles, New York City, Bethesda, and Chicago, with more clinics in North America and internationally in the next 2 years.

The Opportunity

We are looking for a Team Lead, Machine Learning to join our Vancouver team! Our ideal candidate will possess a deep understanding of foundational concepts in machine learning and software development, allowing them to take ownership of the full development and deployment pipeline.

What You’ll Do:

  • Be responsible for design, development and maintenance of scalable production machine learning pipeline that includes data ingestion, data transformation, data validation, automatic model training, automatic model tuning, model evaluation, orchestration, model management and other components
  • Work with a team of engineers and Data Scientists to build tools and pipelines to improve our machine learning deployments and systems
  • Collaborate with Data Scientists to optimize research outcomes and models for production
  • Lead other machine learning engineers and data scientists with technical decisions to deploy models to product and integrate them with new or existing services
  • Contribute to the entire development and deployment pipeline from proof-of-concept to model serving & MLOps
  • Take ownership and responsibility for team practices and processes and their continuous improvement

What You’ll Bring:

  • 4+ years of experience applying Machine Learning in industry, ideally across a variety of problem areas and data pipelines
  • Degree in computer science, machine learning, engineering, mathematics or equivalent highly technical field
  • Proven leadership abilities in an engineering environment in driving operational excellence and best practices
  • Hands-on experience building production models with machine learning frameworks (like Keras or PyTorch) and libraries (like scikit-learn) 
  • Experience in different CI/CD pipelines (like CircleCI, Jenkins or TravisCI)
  • Experience configuring and using AWS or equivalent cloud environment
  • Proficient with cloud ML technologies (such as AWS SageMaker)
  • A proven ability to architect scalable, maintainable software and a high-level understanding of data science concepts
  • Proficient with SQL databases and data access
  • Excellent coding skills and software development experience
  • Experienced in Machine Learning and Computer Vision, as demonstrated by previous roles and/or a publication track record
  • Thorough experience in end-to-end machine learning project life cycle
  • Proven leadership abilities in an engineering environment in driving operational excellence and best practices
  • You are a team player and check the ego at the door - we share a common goal and will work hard together to achieve it
  • You can demonstrate patience and are able to naturally guide, mentor, and collaborate with team members and cross-functional departments
  • Nice to have:
    • Experience with Medical Data, Dicom PACS system, and Medical Image Analysis 

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 and/or your loved ones
  • 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 with “Beef Dip Wednesdays”, a tradition that began with our founder’s affinity for local delivered eats
  • 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, and an Employee and Family Assistance Program to support you and your family
  • The base salary for this role ranges from $180,000 - $200,000 in local currency + 10% discretionary bonus, 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.

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Tags: AWS CI/CD Computer Science Computer Vision Data pipelines DICOM Engineering Keras Machine Learning Mathematics MLOps Model training Pipelines PyTorch Research SageMaker Scikit-learn SQL

Perks/benefits: Career development Flex vacation Health care Salary bonus Startup environment

Region: North America
Country: Canada
Job stats:  11  2  0

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