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Lead ML Engineer

On-site Full-time

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Experience Level

Manager

Qualifications

Bachelor's or Master's degree in Computer Science, Data Science, or related field. Proven experience in machine learning, including model development and deployment. Proficiency in AI frameworks and libraries (e.g., TensorFlow, PyTorch). Strong programming skills in Python and familiarity with relevant tools. Excellent problem-solving and analytical skills. Experience in healthcare technology is a plus. Strong communication and collaboration abilities.

About the job

At Sword Health, we are redefining the future of healthcare by transitioning from a human-first model to an innovative AI-first approach through our cutting-edge AI Care platform. Our mission is to democratize access to exceptional healthcare services, available at any time and from anywhere, while significantly lowering costs for payers, self-insured employers, national health systems, and various healthcare organizations. Initially focused on revolutionizing pain management, we have successfully expanded our offerings to include women's health, movement health, and more recently, mental health. Since 2020, over 700,000 members across three continents have engaged in 10 million AI sessions, enabling our 1,000+ enterprise clients to save over $1 billion in unnecessary healthcare expenditures. With 42 clinical studies backing our methods and more than 44 patents secured, Sword Health has garnered over $500 million in funding from prominent investors such as Khosla Ventures, General Catalyst, Transformation Capital, and Founders Fund. Discover more at www.swordhealth.com.

As a member of our Applied AI Team, you will spearhead the development of AI and machine learning solutions that deliver personalized clinical care on a large scale. Your contributions will encompass the entire AI treatment management spectrum, from initial assessments to intervention selection and progress tracking across diverse therapeutic areas. We're also building Phoenix, our AI Care Specialist designed to maintain ongoing dialogues with patients, providing essential clinical guidance throughout their recovery journey.

This role encompasses the complete AI stack: prompt engineering, RAG implementations, model fine-tuning, and agent-based workflows. We utilize both generative AI and traditional machine learning methodologies tailored to the demands of specific challenges. All our projects are aimed at enhancing digital care quality and accessibility to unprecedented levels.

About Sword Health

Sword Health is at the forefront of transforming healthcare through artificial intelligence. Our AI Care platform aims to provide accessible, high-quality healthcare services globally while optimizing costs for healthcare providers. With a strong foundation in AI-powered pain management, we are rapidly expanding our services across various health domains. Our commitment to innovation is supported by extensive research and significant investment, making us a leader in digital health solutions.

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