
Lead ML Engineer
Required skills
Machine Learning
Sword Health is shifting healthcare from human-first to AI-first through its AI Care platform, making world-class healthcare available anytime, anywhere, while significantly reducing costs for payers, self-insured employers, national health systems, and other healthcare organizations. Sword began by reinventing pain care with AI at its core, and has since expanded into women’s health, movement health, and more recently mental health. Since 2020, more than 700,000 members across three continents have completed 10 million AI sessions, helping Sword's 1,000+ enterprise clients avoid over $1 billion in unnecessary healthcare costs. Backed by 42 clinical studies and over 44 patents, Sword Health has raised more than $500 million from leading investors, including Khosla Ventures, General Catalyst, Transformation Capital, and Founders Fund. Learn more at www.swordhealth.com.
The Applied AI Team develops AI and ML solutions that power personalized clinical care at scale. Our work includes end-to-end AI treatment management systems that handle complete care pathways - from initial assessment through intervention selection and progress monitoring across various therapeutic domains. We are also building Phoenix, an AI Care Specialist that engages in ongoing dialogue with patients and provides clinical guidance throughout their recovery journey.
This work spans the full AI stack: prompt engineering, RAG implementations, model fine-tuning, and agentic workflows. We leverage both generative AI and classical machine learning depending on what the problem requires. All of our projects contribute to delivering digital care that reaches new levels of clinical quality and accessibility.
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About Sword Health

Sword Health
Series DSword Health is a digital health company that develops physical therapy programs for musculoskeletal (MSK) conditions, pelvic health, and injury prevention. The company was founded in 2015 in Portugal by Virgílio Bento and Márcio Colunas.
501-1,000
Employees
New York
Headquarters
$2B
Valuation
Reviews
10 reviews
4.1
10 reviews
Work-life balance
3.8
Compensation
3.2
Culture
4.3
Career
2.8
Management
4.0
78%
Recommend to a friend
Pros
Supportive and friendly team/coworkers
Good work-life balance and flexible hours
Positive and collaborative work environment
Cons
Limited career advancement and slow promotions
High workload and stress
Compensation could be better
Salary Ranges
1 data points
Manager
Manager · Data Science Manager
0 reports
$46,147
total per year
Base
-
Stock
-
Bonus
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Latest updates
BCBS Global Solutions℠ Expands Global Digital Health Offerings to Address Muscle and Joint Health for Expatriate Workforces - PR Newswire
PR Newswire
News
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2w ago
Boston Police officer stabbed with sword during "mental health crisis" near Northeastern University - CBS News
CBS News
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4w ago
Erasing the Word "Woman"
HN
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7w ago
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Sword Health Launches GLP-1, Mental Health, and Menopause Care - Fitt Insider
Fitt Insider
News
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7w ago



