Senior AI/Machine Learning Engineer, Twin Health

$180-200k

+ Equity

SQL

Python

Snowflake

Senior and Expert level

Remote from US

Individualized healthcare guidance for chronic metabolic diseases

Job no longer available

Individualized healthcare guidance for chronic metabolic diseases

501-1000 employees

HealthcareB2CPersonal healthArtificial IntelligenceMedTech

Job no longer available

$180-200k

+ Equity

SQL

Python

Snowflake

Senior and Expert level

Remote from US

501-1000 employees

HealthcareB2CPersonal healthArtificial IntelligenceMedTech

Company mission

To transform lives by empowering people to reverse and prevent chronic metabolic diseases, improve energy and physical health, and extend lifespan.

Job

Company

Role

Who you are

Bachelor's or Master's degree in Computer Science, Statistics, or a related field; PhD a plus
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; experience in Sentiment Analysis a plus
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

What the job involves

Twin Health’s product is an innovative Metabolic Health platform that uses our patented Whole Body Digital Twin technology to drive better outcomes for our members and clinical team
We are seeking a Senior AI Engineer to join our Core AI team of Data Scientists and ML Engineers to take our AI-driven product to the next level using the latest techniques in Gen AI, reinforcement learning, and deep learning
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

Our take

Metabolic Syndrome affects over a billion people worldwide, and can massively increase the risks of heart disease and stroke. Although the root cause is known to be differences in metabolic performance, each case is so complex and unique as to stifle investigation into preventions and treatments.

Twin Health aims to combat this problem with its Whole Body Digital Twin. Leveraging AI and wearable sensors, the system creates a dynamic digital representation of the individual’s metabolism. Both patients and doctors can then use this to inform decisions about nutrition, sleep and activity that could help reverse or prevent a variety of chronic metabolic diseases.

Importantly, Twin Health's work is supported by high-quality research that has been peer-reviewed and published in leading journals. This science-first approach supports impressive results such as over 70% of users with Type 2 diabetes reporting a remission of symptoms at 12 months into the program.

Steph

Company Specialist at Welcome to the Jungle

Insights

4% employee growth in 12 months

Glassdoor (4.1)

Company

Funding (last 2 of 4 rounds)

Dec 2023

$50m

LATE VC

Oct 2021

$140m

SERIES C

Total funding: $233.5m

Company benefits

High-quality medical, dental, and vision coverage
HSA/FSA plans, life insurance, and disability
401(k) for retirement
Support from licensed financial wellness advocates
Unlimited PTO
Paid parental leave for birth/adoption (16 weeks of 100% paid leave for the primary caregiver and 8 weeks for the secondary)
Access to benefits supporting overall well-being (eg. pet insurance, gym discounts)
Stipend program (100% personalized and inclusive)

Company HQ

Mountain View, CA

Leadership

Jahangir Mohammed

(Co-Founder & CEO)

Founder and former CEO of Cisco Jasper and Kineto Wireless.

Terry Poon

(Co-Founder & CTO)

Former VP of Engineering at Jasper.

Maluk Mohamed

(Co-Founder & VP of Research)

Chairman and Director of the MASTeR Group of Institutions.

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