Twin Health · 1 day ago
Senior AI/ML Engineer
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Artificial Intelligence (AI)Health Care
No H1B
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Responsibilities
Develop and optimize AI-powered systems to create impact for our members, partners, and overall business.
Deeply understand member behavior and sentiments through continuous data analysis
Build and improve ML models to drive behavior change to achieve sustained improvements in metabolic health for a diverse member base across diabetes, weight loss, etc.
Use techniques like reinforcement learning / RLHF to continuously improve our “N of 1” recommendations and achieve better outcomes.
Collaborate cross-functionally with our clinical, medical research, business analytics, and engineering teams to design end-to-end AI-powered experiences for our members and clinical teams and achieve metrics-driven impact
Additional duties as assigned
Qualification
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Required
Bachelor's or Master's degree in Computer Science, Statistics, or a related field
5+ years of industry experience developing AI and Machine Learning systems in production
Experience building, deploying, and optimizing ML models using techniques like RLHF, Deep Learning neural networks, and anomaly detection
Experience optimizing applications powered by LLMs, Generative AI, NLP, and Prompt Engineering
Proficiency in programming with Python and complex analysis of large datasets using technologies like SQL, Snowflake, etc.
This remote opportunity is available to US based persons. Applicants must be authorized to work for any employer in the U.S.
Preferred
PhD a plus
Experience in Sentiment Analysis a plus
Benefits
Opportunity for equity participation
Unlimited vacation with manager approval
16 weeks of 100% paid parental leave for delivering parents; 8 weeks of 100% paid parental leave for non-delivering parents
100% Employer sponsored healthcare, dental, and vision for you, and 80% coverage for your family; Health Savings Account and Flexible Spending Account options
401k retirement savings plan
Company
Twin Health
Twin Health is a Precision Health platform combining Sensors, Machine Learning, and Medical Science to reverse chronic diseases.
Funding
Current Stage
Late StageTotal Funding
$248.5MKey Investors
Temasek HoldingsICONIQ GrowthSequoia Capital
2023-12-13Series D· $50M
2021-10-07Series C· $155M
2020-10-16Series B· $25.5M
Leadership Team
Recent News
2024-05-27
2024-05-26
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