Remote Machine Learning Engineer II Needed at Cohere Health Cohere Health

Digitaltidewave; United States; Remote; USD 125,000 - 150,000; Full time

Job summary

Join a dynamic and innovative company dedicated to improving patient care through advanced machine learning solutions. As a Machine Learning Engineer II, you will collaborate with a talented team to design, develop, and deploy cutting-edge ML models that automate clinical practices. This role emphasizes the importance of empathy and teamwork in delivering impactful results. If you are passionate about leveraging AI to transform healthcare and thrive in a supportive environment, this opportunity is perfect for you.

Qualifications

• 2+ years of experience in applied ML with a master's degree.
• Expert in Python and deep learning frameworks.

Responsibilities

• Design and deploy machine learning algorithms for various use cases.
• Develop scalable production machine learning systems.

Skills

Machine Learning

Python

Deep Learning

NLP

Data Preprocessing

Education

Master's Degree in Computer Science

Master's Degree in Machine Learning

Master's Degree in Mathematics

Tools

PyTorch

AWS SageMaker

Job description

Job role: Machine Learning Engineering II

Company name: Cohere Health

Location:Remote, USA

Salary: $110,000 – $130,000 Annually

Read also:Data Architect- Senior Associate| Remote Needed at PwC

About the Job: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.

Role 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.Collaborate with teams to implement ML solutions and ensure model efficacy in production.

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.

Responsibilities in this Role

• 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.

Required Qualifications/Experience

• You have 2+ 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

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