Senior Machine Learning Engineer

Posted 7 Hours Ago
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Hiring Remotely in United States
Remote
Mid level
Healthtech • Software
Cohere Health provides intelligent prior authorization as a springboard to better quality care and outcomes.
The Role
As a Senior Machine Learning Engineer, you will design, develop, and deploy machine learning algorithms and production systems while providing guidance to junior engineers and collaborating with cross-functional teams to align ML solutions with company objectives.
Summary Generated by Built In

Company Overview

Cohere Health is a fast-growing clinical intelligence company that’s improving lives at scale by promoting the best patient-specific care options, using cutting-edge AI combined with deep clinical expertise. In only four years our solutions have been adopted by health plans covering over 15 million lives, while our revenues and company size have quadrupled.  That growth combined with capital raises totaling $106M positions us extremely well for continued success. Our awards include: 2023 and 2024 BuiltIn Best Place to Work; Top 5 LinkedIn™ Startup; TripleTree iAward; multiple KLAS Research Points of Light awards, along with recognition on Fierce Healthcare's Fierce 15 and CB Insights' Digital Health 150 lists.

Opportunity Overview

In this role, you’ll join our growing team of world-class machine learning engineers and clinical experts to deploy machine learning models that help automate burdensome administrative clinical practices. 

Our ML team’s work is focused on designing, deploying, and monitoring production models which extract or predict relevant clinical findings from structured and unstructured data sources.

Last but not least: People who succeed here are empathetic teammates who are candid, kind, caring, and embody our core values and principles. We believe that diverse, inclusive teams make the most impactful work. Cohere is deeply invested in ensuring that we have a supportive, growth-oriented environment that works for everyone. 

What you will do:

  • Design, develop and deploy advanced machine learning algorithms for retrieval, classification and generative use cases.
  • Develop reliable and scalable production machine learning systems.
  • Write and maintain reusable codebases to perform data preprocessing, model training, evaluation, and deployment
  • Provide software and machine learning best practice guidance to junior engineers
  • Work cross-functionally with diverse stakeholders, including product managers, clinicians, and technical leadership to align ML solutions with Cohere’s core objectives.

Your background and characteristics:

  • You have 3+ years experience in applied ML in the industry with a masters degree in computer science, machine learning, mathematics or a similar field
  • Clear understanding of model building, model maintenance and the measures that optimize models for production use
  • Understand experimental design and can independently perform collection, measurement, and interpretation of results
  • Expert in Python with experience in deep learning frameworks (e.g., PyTorch)
  • Hands on experience building deep learning models (e.g., transformers) for NLP tasks

Bonus points for:

  • Experience with generative AI or Retrieval Augmented Generation (RAG)
  • Experience working with unstructured healthcare data (e.g., clinical notes)
  • Experience with OCR or image-based document understanding techniques
  • Hands on experience using AWS tools such as SageMaker Studio 

We can’t wait to learn more about you and meet you at Cohere Health!

Equal Opportunity Statement 

Cohere Health is an Equal Opportunity Employer. We are committed to fostering an environment of mutual respect where equal employment opportunities are available to all. To us, it’s personal.

The salary range for this position is $145,000 to $170,000 annually; as part of a total benefits package which includes health insurance, 401k and bonus. In accordance with state applicable laws, Cohere is required to provide a reasonable estimate of the compensation range for this role. Individual pay decisions are ultimately based on a number of factors, including but not limited to qualifications for the role, experience level, skillset, and internal alignment.

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Top Skills

Aws Sagemaker
Python
PyTorch

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The Company
HQ: Boston, MA
800 Employees
Remote Workplace
Year Founded: 2019

What We Do

Cohere Health is a clinical intelligence company that provides intelligent prior authorization as a springboard to better quality outcomes by aligning physicians and health plans on evidence-based care paths for the patient's entire care journey. Cohere's intelligent prior authorization solutions reduce administrative expenses while improving patient outcomes. The company is a Top 5 LinkedIn™ Startup, winner of the TripleTree iAward, consecutive KLAS Research’s Points of Light recipient, and has been named to Fierce Healthcare's Fierce 15 and CB Insights' Digital Health 150 lists.

Why Work With Us

Cohere Health brings together a community of healthcare and technology team members, passionate about changing the challenging parts of healthcare. If you enjoy solving challenging problems and learning about healthcare, then Cohere Health is a great career choice.

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Cohere Health Offices

Remote Workspace

Employees work remotely.

Cohere employees work from 48 different states throughout the US - Cohere hosts retreats at the Boston office in the North End.

Typical time on-site: None
HQBoston, MA
A great location in the North End Boston.

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