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Neurotechnology + Healthcare + AI

Senior Machine Learning Engineer

$90k – $150k • 0.1% – 0.5%
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We're seeking an individual to lead machine learning research/development efforts at Beacon, and along the way teach us all all how to deliver robust models to improve human health.

ABOUT YOU:

  • You're comfortable overseeing experiments that uniquely leverage data from our clinical partners, public datasets, and our own sensors to aid research and clinical decisions for ourselves, clients and patients.

  • You realize that lowering hypothesis test turnaround time from months to minutes requires applying best-of-breed DevOps concepts to the data science workflow.

  • You can't wait to combine your background with our unprecedented EEG dataset to blow published statistical EEG results out of the water.

  • You will discover and formulate techniques for analysis that haven't even been attempted with EEG outside of Beacon due to lack of data and/or infrastructure (e.g. "How might we refactor our existing spike detection algorithm to achieve high inter-rater agreement on noisy signals across a reduced set of channels?")

  • You'll help develop new methodologies for aggregating a vast quantity of labels from expert neurologist readers of differing backgrounds and opinions.

  • You've developed a solid, heavily-exercised workflow for debugging model performance; you now know more about the limitations of automatic differentiation and distributed heterogeneous computing than you ever thought you would when you started your ML journey (e.g. "How can I alter this model's architecture to mitigate the decrease in sample throughput once I lower the minibatch size?")

  • You will help steer engineering efforts to standardize, improve, and automate our model development/deployment lifecycle and related tooling.

  • You can ensure that we properly select and rigorously measure the quantities we're optimizing for, both in our research and in our business.

  • You'll provide constant feedback about what we do wrong and how we can do better.

  • As Beacon grows, you'll have the opportunity to build and lead teams that accomplish all of the above - tenfold!

  • You'll have the opportunity to co-author scientific papers whose impact pushes the neurocritical care, neuroscience, and machine learning communities past contemporary limitations.

  • PhD in relevant field or equivalent research engineering experience.

Our data science team makes heavy use of the Julia language. This quarter, we're pushing >70TB of signal data (and our processes for manipulating it) into AWS, where we're developing a deep learning platform for rapid hypothesis testing, sleek data visualization, and interactive analysis exploration. Come help us make the right decisions!

Beacon Biosignals is an equal opportunity employer; we do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.

Beacon Biosignals at a glance

Neurotechnology + Healthcare + AI

Beacon Biosignals focuses on Biotechnology, SaaS, Machine Learning, Neuroscience, and Digital Health. Their company has offices in Boston and Cambridge. They have a small team that's between 1-10 employees.

You can view their website at https://beacon.bio or find them on Twitter and LinkedIn.

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