Out-Of-Pocket Jobs
Senior ML Engineer (Data Products)
Remote (US)
Posted 14 days ago

In Brief

  • We're an early-stage startup on a mission to make healthcare proactive by empowering physicians, nurses, and care team members with real-time data to save lives.
  • We’re looking for a machine learning engineer with significant hands-on experience driving business outcomes by working with customers to design and build data products.


Who We Are

Bayesian Health’s mission is to improve patient outcomes by empowering clinicians with the insights they need to make the right decision for the right patient at the point-of-care. We’re a diverse team of clinicians, engineers, machine learning experts, product designers, and performance improvement leaders committed to enabling smarter, patient-specific care delivery through unlocking the power of data.

What makes us different? We’re results oriented and outcomes  obsessed. We also understand that to address our users’ needs, we must go beyond building great technology. After spending a decade working side by side with top clinicians from three  of the world’s leading health systems, we know what it takes to develop usable, high-value, clinically-relevant solutions. We are experts at rummaging through messy, incomplete, biased datasets.  We are able to make sense of, and continuously learn from data, to help our physicians practice more precise medicine.

Read more about the recent publication of our large, two-year study of the effectiveness of our sepsis module here: https://www.bayesianhealth.com/2021/07/11/bayesian-health-launches/ 


What You’ll Do

This role is critical to our ability to expand our machine learning product offerings in 2022 and beyond. You’ll provide critical efforts at the intersection of our customer challenges and the data and machine learning models we use to solve them. You'll:

  • Work closely with our health systems stakeholders and our internal teams (clinical, customer success, and product management) to build a deep understanding of the challenges our customers are experiencing with clinical outcomes.
  • Draw upon state-of-the-art approaches and our own internal best practices to design data solutions to solve these problems; this means identifying the right ways to annotate, the right algorithms for building models, the right approaches for evaluation. You will have access to team members who are experts in diverse aspects of machine learning and you are excited to collaborate with them.  
  • Implement prototypes as well as production-grade data solutions (e.g., new models, new approaches to evaluation and monitoring). 
  • Partner with client success to communicate efficacy and identify opportunities for further improvement.
    Be an integral part of our diverse, inclusive, collaborative, fully-remote engineering team.


Who You Are

  • You’re excited to understand customer pain points and create ML/data-driven solutions to address them.
  • You’re broadly and genuinely curious, empathetic, a problem solver, and are results oriented.
  • You have at least 1-2 examples of successful models/solutions you’ve built to solve critical client needs.
  • You like taking a hairy solution, identifying which aspects bring the most value, and figuring out how to deliver within a fraction of time that it would have taken to build the hairy solution.
  • You either have a relevant Ph.D, or you have developed foundational understanding through practical experience building ML and data science solutions.
  • You have an entrepreneurial spirit and a drive to seek deep understanding of clinical challenges at health systems
  • You have a track record as a good communicator and a collaborative, driven team player.
Bayesian Health
Bayesian Health offers empowering health systems through clinical AI.
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