Machine Learning Engineer II
Description For Machine Learning Engineer II
Cohere Health, a rapidly growing clinical intelligence company, is seeking a Machine Learning Engineer II to join their innovative team. With over 15 million lives covered and $106M in capital raises, they're revolutionizing healthcare through AI and clinical expertise.
The role offers an exciting opportunity to work with world-class machine learning engineers and clinical experts, focusing on deploying ML models that automate administrative clinical practices. You'll be responsible for designing and implementing advanced machine learning algorithms for retrieval, classification, and generative use cases, while ensuring reliable and scalable production systems.
The ideal candidate brings 2+ years of applied ML experience and a master's degree in a relevant field. You'll need expert-level Python skills, experience with deep learning frameworks like PyTorch, and hands-on experience with transformer models for NLP tasks. The position offers exposure to cutting-edge technologies including generative AI, RAG, and healthcare data applications.
Cohere Health provides a competitive compensation package ranging from $110,000 to $130,000 annually, plus benefits including health insurance, 401k, and bonus opportunities. The company has received numerous accolades, including being named a 2023 and 2024 BuiltIn Best Place to Work and recognition on prestigious lists like CB Insights' Digital Health 150.
The company values diversity and inclusion, fostering a supportive, growth-oriented environment. Working at Cohere Health means joining a mission-driven team that's making a real impact on healthcare while working with cutting-edge AI technology. The remote work environment offers flexibility while maintaining strong collaborative relationships across teams.
Responsibilities For Machine Learning Engineer II
- 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
- Work cross-functionally with diverse stakeholders, including product managers, clinicians, and technical leadership
Requirements For Machine Learning Engineer II
- 2+ years experience in applied ML in the industry with a masters degree in computer science, machine learning, mathematics or similar field
- Clear understanding of model building, model maintenance and optimization for production use
- Understanding of experimental design and ability to 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
Benefits For Machine Learning Engineer II
- Health Insurance
- 401k
- Bonus
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