As a Staff Machine Learning Engineer, you will play a critical technical leadership role on Cohere Health’s Enterprise ML team, with a primary focus on powering and scaling machine learning capabilities within our Intake product.

Company: Cohere Health

Role: Staff Machine Learning Engineer

Location: Hyderabad, Telangana, India

Experience:

7+ years of professional experience in applied machine learning or data science, including ownership of production ML systems

Key Skills:

Python
modern deep learning frameworks (e.g., PyTorch)
deep learning models (e.g., transformers) for NLP tasks
cloud platforms (AWS preferred)
experimental design
model evaluation
optimization for real-world production environments

Qualification:

Master’s degree (PhD preferred) in Computer Science, Data Science, Machine Learning, or a closely related quantitative field

Role Focus:

Design, build, and deploy advanced machine learning systems for retrieval, classification, prediction, and generative use cases
Apply advanced statistical and ML techniques to extract insights from large-scale structured and unstructured healthcare datasets
Lead model development across the ML lifecycle, including experimentation, training, evaluation, deployment, monitoring, and iteration
Develop and oversee scalable, reusable codebases and ML infrastructure to support production use cases
Collaborate cross-functionally with product managers, clinicians, data engineers, BI engineers, and design teams to translate business and clinical needs into robust ML solutions
Drive experimentation by defining problem statements, forming falsifiable hypotheses, and designing rigorous evaluation frameworks tied to business outcomes
Review, communicate, and present ML insights and results to technical and non-technical stakeholders, including executive leadership
Serve as a technical mentor and advisor to junior engineers, providing guidance on ML best practices, experimentation, and system design
Contribute as an expert advisor across multiple initiatives, helping shape ML strategy and performance tracking across the organization

Nice to have:

Experience with generative AI, large language models, agentic systems, or Retrieval Augmented Generation (RAG)
Experience driving automation in healthcare or regulated environments
Familiarity with healthcare workflows such as claims, coding, utilization management, or network operations
Experience working with unstructured healthcare data (e.g., clinical notes, OCR, document understanding)
Hands-on experience with AWS tools such as SageMaker Studio

Other:

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
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 ( ), 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
Equal Opportunity Employer, committed to fostering an environment of mutual respect where equal employment opportunities are available to all

Staff Machine Learning Engineer

Skills Required

Description