Machine Learning Engineer l / ll

Opportunity Overview:

We are looking for a Machine Learning Engineer l and Machine Learning Engineer ll to join our team! 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.

In this role, you’ll join our growing team of world-class engineers, statisticians, and clinical experts to deploy machine learning algorithms that help automate burdensome administrative clinical practices. You will be tasked with finding the most promising opportunities for impact and then delivering on them. This is a unique opportunity to join a high caliber engineering team that is growing quickly. You will build impactful healthcare technology on a modern tech stack.

What you’ll do:

• Perform in-depth analysis of healthcare data to independently design, develop, and deliver clinical ML models.
• Build reliable and scalable production machine learning systems
• Work on feature engineering, statistical analysis, developing novel ML techniques, understanding performance, and improving model run time.
• Work cross-functionally across diverse stakeholders, including product managers, statisticians, clinicians, and clinical analysts.

What you’ll need:

• You have 1-4 years full time professional experience in ML
• You have an MS in computer science, machine learning, computational linguistics, statistics, mathematics or similar field
• You have hands on experience building with modern language models, including context-engineering LLMs or fine-tuning SLMs
• You understand scientific best practice in experimental design and can independently perform data collection, measurement, and interpretation of results
• You have experience configuring, training, evaluating, deploying, and maintaining models in a production setting
• Advanced proficiency in Python and familiarity with ML frameworks such as PyTorch.

Bonus points for:

• Experience with healthcare data such as claims and EMR data
• Knowledge of NCQA HEDIS guidelines and CMS STARS specifications
• Experience extracting unstructured clinical data concepts from clinical data (such as EMR or Utilization Management data) 
• Experience with OCR
• Experience with graph databases or network analysis
• Hands on experience using AWS tools such as SageMaker Studio and Neptune

Pay & Perks:

💻 Fully remote opportunity with about 5% travel

🩺 Medical, dental, vision, life, disability insurance, and Employee Assistance Program 

📈 401K retirement plan with company match; flexible spending and health savings account 

🏝️ Up to 184 hours (23 days) of PTO per year + company holidays

👶 Up to 14 weeks of paid parental leave 

🐶 Pet insurance  

The salary range for this position is $95,000.00 to $130,000.00 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.

Interview Process*:

1. Connect with Talent Acquisition for a Preliminary Phone Screening
2. Meet your Hiring Manager!
3. Behavioral Interview(s)
4. Live Coding
5. Case Study

*Subject to change

About Cohere Health:

Cohere Health’s clinical intelligence platform delivers AI-powered solutions that streamline access to quality care by improving payer-provider collaboration, cost containment, and healthcare economics. Cohere Health works with over 660,000 providers and handles over 12 million prior authorization requests annually. Its responsible AI auto-approves up to 90% of requests for millions of health plan members.

With the acquisition of ZignaAI, we’ve further enhanced our platform by launching our Payment Integrity Suite, anchored by Cohere Validate™, an AI-driven clinical and coding validation solution that operates in near real-time. By unifying pre-service authorization data with post-service claims validation, we’re creating a transparent healthcare ecosystem that reduces waste, improves payer-provider collaboration and patient outcomes, and ensures providers are paid promptly and accurately.

Cohere Health’s innovations continue to receive industry wide recognition. We’ve been named to the 2025 Inc. 5000 list and in the Gartner® Hype Cycle™ for U.S. Healthcare Payers (2022-2025), and ranked as a Top 5 LinkedIn™ Startup for 2023 & 2024. Backed by leading investors such as Deerfield Management, Define Ventures, Flare Capital Partners, Longitude Capital, and Polaris Partners, Cohere Health drives more transparent, streamlined healthcare processes, helping patients receive faster, more appropriate care and higher-quality outcomes.

The Coherenauts, as we call ourselves, 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.

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.

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