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Senior Machine Learning Engineer

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The Machine Learning team at UPMC Enterprises collaborate in cross-disciplinary teams to rapidly solve impactful problems in healthcare with our deep knowledge of modern machine learning technologies and innovative data analytics. We work directly with our colleagues in product and engineering, our stakeholders across UPMC payor and provider sides of healthcare, and key healthcare start-ups to better patient lives.
The Senior Machine Learning Engineer is a highly regarded independent contributor with significant ownership over technical decisions and is responsible for delivering Machine Learning solutions in multiple projects. They are also the technical leader of the team and guide more junior members of the team towards success.

  • Work with massive quantities of real-world healthcare data while following organizational processes around HIPAA compliance to safeguard private patient information.
  • Use deep expertise in Machine Learning to help evaluate new healthcare technology.
  • Be expected to stay current with the state of the art in Machine Learning research.
  • Own and drive the lifecycle of developing new Machine Learning technology with a high degree of autonomy.
  • Collaborate in an interdisciplinary and cross-functional project team.
    • Work with product managers and stakeholders to define the problem and its requirements.
    • Perform data analysis and preprocessing in massive quantities of real-world healthcare data.
    • Research state-of-the-art methods, develop hypotheses, implement models, and develop necessary tooling required for the project.
    • Evaluate approaches with appropriate metrics, communicate results to stakeholders for feedback, and incorporate feedback in tight iterative loops while meeting project deadlines.
    • Collaborate with engineering to productionize models.
  • Exercise excellent oral and written communication skills conveying new ideas to our team and in touchpoints with product managers, healthcare experts, and our partners in healthcare start-ups.
  • Demonstrate high initiative and are self-driven to excellence.
  • Embody a growth-mindset and are excited to receive feedback and continuously learn to deepen their understanding of ML and improve interpersonal skills.
  • Demonstrate deep understanding in multiple areas of ML and combine ideas from multiple fields to tackle problems.
  • Mentor junior members of the team and help them develop their technical and soft skills, promoting their growth and independence.
  • Given project scope, identify gaps in necessary technical knowledge and rapidly come up to speed with the appropriate new technology and new fields of ML for the task.
  • Accurately estimate technical effort required for projects.
  • Manage competing priorities of owning technical delivery for multiple projects while meeting deadlines as a key contributor.
  • Clearly communicate progress and activities to stakeholders and incorporate feedback.
  • Create compelling narratives to communicate project outcomes.
  • Communicate and coordinate across teams to move forward projects.


  • Bachelor’s degree in computer science, computational biology, applied math, or other similar quantitative field
  • Prefer MS or PhD in machine learning related fields
  • Highly knowledgeable in multiple subfields of ML and able to combine ideas from multiple fields to solve problems
  • Proficient in software development and understanding of coding best practices, including familiarity with code reviewing, version control systems, good code hygiene, documentation etc.
  • Good written and oral communication skills in communicating to a mixed technical and non-technical audience
  • Strongly prefer a demonstrated track record of developing novel, state of the art ML methods through peer-reviewed publications or patent filings
  • Track record of successfully delivering ML solutions that result in significant value creation as a key contributor in a team
Preferred Qualifications
  • Experience in solving problems in healthcare or biomedical settings
  • Experience in working with varied data modalities, including time series, images, natural language text, genomics, speech, etc.
  • Cloud-based development experience
  • Experience in working with problems in both data-deficient and large-scale data settings
  • Experience in working within cross-disciplinary and cross-functional teams
  • 4+ years of relevant experience
This is a remote opportunity with workspace available in Bakery Square (Pittsburgh, PA) if needed

Licensure, Certifications, and Clearances:
  • Act 34
UPMC is an Equal Opportunity Employer/Disability/Veteran

Location: Work From Home, Work From Home, United States
Job ID: 772960417

UPMC is an equal opportunity employer.
Minority / Females / Veterans / Individuals with Disabilities