Senior Applied AI Engineer, Omada Health

$180.4-235.8k

+ Generous annual cash bonus & Equity grants. Salary applicable to CA, NY, WA & CO only & varies depending on location; salary may differ for further locations

AWS

GCP

Azure

PyTorch

Sagemaker

Senior and Expert level

Remote from US

A digital-first chronic care provider

Be an early applicant

A digital-first chronic care provider

501-1000 employees

HealthcareB2BPersonal healthData Analysis

Be an early applicant

$180.4-235.8k

+ Generous annual cash bonus & Equity grants. Salary applicable to CA, NY, WA & CO only & varies depending on location; salary may differ for further locations

AWS

GCP

Azure

PyTorch

Sagemaker

Senior and Expert level

Remote from US

501-1000 employees

HealthcareB2BPersonal healthData Analysis

Company mission

To inspire lasting health changes that change lives.

Job

Company

Role

Who you are

5+ years of experience deploying AI models with demonstrated business impact
Proven track record of designing, deploying, and managing end-to-end AI solutions, with a particular emphasis on Generative AI, prompt engineering techniques, and finetuning
Deep Expertise in utilizing tools for Generative AI interaction (OpenAI, Bedrock, Huggingface TGI, Ollama, langchain, llamaindex)
Expertise in machine learning tools (e.g., AWS SageMaker, PyTorch, Hugging Face)
General experience in cloud ML platforms (AWS, Azure, GCP), especially with their ML services (Sagemaker and Azure ML)
Successful monitoring of model performance post-deployment, with an ability to link AI solutions to tangible business impacts
Strong capability for cross-team collaboration, working seamlessly with stakeholders across functional areas to deploy AI solutions that meet broader business needs
A natural problem-solver, comfortable with navigating ambiguity and making decisions in complex environments
A lifelong learner, continuously seeking to stay updated on new technologies and methodologies in the fast-evolving AI landscape
Familiarity with Agile methodologies, demonstrating effectiveness in a fast-paced, iterative development environment
BA/BS in Computer Science or a related technical field or equivalent practical experience
Interest in the intersection of healthcare and AI

What the job involves

As a Senior AI Engineer at Omada, you will lead the deployment of sophisticated AI models and applications using state-of-the-art tools and platforms. This is a critical role that combines deep technical expertise with a practical understanding of applying AI in impactful ways
Design and Development: Lead the creation of AI solutions specifically harnessing the power of LLMs. Play a pivotal role in influencing business outcomes by deploying new solutions, working closely with product and business collaborators
Deployment and Impact: Work with industry-standard LLM APIs to inject cutting-edge AI functionalities into broader applications using your experience with cloud platforms like AWS and Azure
Performance Monitoring: Create models that drive business outcomes and make iterative improvements based on data-driven insights. Ensure deployed models operate at peak efficiency, requiring a vigilant approach to performance monitoring and adjustment
Agile Collaboration: Deploy models within an Agile development framework, showcasing flexibility, rapid iteration, and a commitment to constant improvement. Proactively collaborate within the Applied AI team and cross-functionally with other development teams, product and business stakeholders to iterate on ideas, solve problems, and achieve shared goals

Our take

Health tracking apps help people to analyze their health data and provide passive notifications and reminders based on their activities. However, these notifications are easy to ignore, and do not have any form of medical authority.

Omada Health offers various virtual health programs that cover areas such as diabetes, weight management and hypertension. As opposed to receiving notifications based on their health, Omada shares real-time health data with both patients and healthcare professionals to increase commitment levels to health tracking apps.

The startup claims that this human-interaction from healthcare professionals within a health tracking framework increases the likelihood of a positive outcome by 250%. Omada currently uses more than a billion data points recorded from 550,000 patients, aiming to use this data to broaden strategies within medical communities.

Freddie

Company Specialist at Welcome to the Jungle

Insights

Top investors

9% employee growth in 12 months

Glassdoor (3.9)

Company

Funding (last 2 of 9 rounds)

Feb 2022

$192m

SERIES E

May 2020

$57m

LATE VC

Total funding: $448.6m

Company benefits

Remote first
Flexible vacation
Wellness days
Parental leave
Omada program
Resources to thrive
Meeting-free days

Company HQ

Financial District, San Francisco, CA

Leadership

Adrian James

(Member of the Board of Directors & Co-founder)

Studied Mechanical Engineering at Stanford. Was a Mechanical Engineer with Risse Racing, Edge Innovations, and Plantas Eolicas. Worked at IDEO for over 9 years, leaving as Domain Lead. Is a Board Member of Moving Analytics.

Sean Duffy

(Co-founder & CEO)

Studied Neuroscience at Columbia, and MBA in Healthcare from Harvard. Was a Nurse Assistant at Straub Hospital. Worked at Google for 2 years in People Analytics. Was a Health & Wellness Domain Specialist at IDEO. Editor of Medgadget for 4 years. Current Founder of Excel Everest.

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