Staff Machine Learning Engineer, Atropos Health
Applied AI
$165-195k
More information about location
Real-world evidence for clinical decision making
Be an early applicant
Real-world evidence for clinical decision making
21-100 employees
Be an early applicant
$165-195k
More information about location
21-100 employees
Company mission
To solve the Evidence Gap that has hampered effective clinical decision-making.
Role
Who you are
- Successful candidates will bring expertise and an ability to stay up-to-date on the rapidly evolving LLM space, especially in the realms of (a) healthcare and (b) generating evidence to support point of care/service and policy decision support (c) automating workflows with AI/LLMs
- Bachelor’s degree in Computer Science, Engineering, or a related field (or equivalent experience). A Master’s degree in Computer Science or related discipline is preferred
- Expertise in AI/ML technologies, especially Large Language Models (LLMs), autonomous agents, and modern machine learning frameworks
- Strong hands-on experience with Python, cloud platforms (AWS preferred), and distributed systems architecture
- 10+ years of software/ML engineering experience
- 5+ years experience focused on AI/ML application development
- 2+ years of experience designing, implementing, and optimizing enterprise-scale applications, with a focus on workflow automation through AI
- Proven experience as a software architect or senior developer, with a track record of leading complex technical initiatives
- Deep knowledge of modern software engineering principles, architectural best practices, and emerging AI trends
- Excellent written and verbal communication skills, with the ability to convey complex technical concepts to diverse audiences
- Experience in healthcare technology or regulated industries is preferred
- Demonstrated ability to thrive in fast-paced, high-growth, and rapidly evolving environments
- Strong analytical and problem-solving skills, with a high level of judgment and creativity in designing innovative solutions
- Understanding of ethical AI principles, governance frameworks, and regulatory compliance (HIPAA, GDPR, SOC2)
- Ability to work effectively in a remote-first environment, ensuring high-quality virtual interactions with minimal distractions
- Willingness to travel periodically for team collaboration and company events
What the job involves
- This is the opportunity to bring your AI and LLM expertise and knowledge to improve efficiency of existing commercial products and innovate on new solutions
- All products, solutions and technology you build will support the company’s mission to close evidence gaps in healthcare
- Join our team of award winning builders and innovators - CB Insights recently named Atropos Health to its ninth annual “AI 100” list:, showcasing the 100 most promising private artificial intelligence (AI) companies in the world - to make our products and services work for the benefit of patients and providers
- Specifically, you will contribute to the continued success of (1) Chat RWD®, the first generative AI application to deliver full observational studies on healthcare data in minutes and (2) Alexandria™, a collection of tens of thousands of existing studies, including active clinical trial designs, that span clinical specialties, therapeutic areas, and cohorts
- Design and guide the architecture and participate in the implementation of scalable, AI-powered solutions to fit into or replace workflow
- Collaborate with engineering, product, and leadership teams to define and deliver new features and enhancements
- Establish best practices and architectural patterns for the application of LLMs in the process of generating clinical evidence from internal, structured data and unstructured sources
- Set up and provide technical oversight for evaluation mechanisms to ensure solutions align with the system vision, scalability goals, and best practices
- Interact with senior business leaders for all major capability enhancements (roadmap) and provide/own the proposed architectural solution. Participate in road mapping activities with all stakeholders
- Contribute to day-to-day technical deliverables
- Stay at the forefront by continuously exploring emerging technologies to keep our business competitive and innovative
- The Staff Machine Learning Engineer (AI) reports directly to the Head of Data Science, Jason Jones
Our take
Spun out from a project developed at Stanford University, Atropos Health was founded to improve the use of generative AI in medical and research decision-making. The company’s software offers on-demand evidence and real-world data to improve evidence collation, elevating clinical trial outcomes.
The use of generative AI for medical purposes is in an exciting place at the moment, and Atropos Health is at the forefront of its evolution. The company’s Geneva Operating System is an original AI system and natural language processor that makes publication-quality clinical data accessible to those without technical skills, and at low cost.
Impressively, the company claims to provide query results in minutes rather than the traditional timeline of 2 to 6 months, hugely speeding up the research process. The power of its operating system is backed by the company’s substantial funding rounds, which will be used to expand operations and grow its portfolio of gen-AI products.
Freddie
Company Specialist at Welcome to the Jungle
Company
Funding (2 rounds)
May 2024
$33m
SERIES B
Aug 2022
$14m
SERIES A
Total funding: $47m
Company benefits
- Health & Wellness - Our benefit package includes employer paid Medical, Dental, Vision, Life, STD, and LTD insurance
- Parental Leave - We offer up to twelve weeks of paid leave for new parents who have been at the company for 6+ months
- Financial Wellness - Save for retirement through our 401k plan with Human Interest
- Flexible Work Environment - We're a remote first company with a flexible vacation policy
- Offsites - As a remote company we take time 2-3 times a year to get together in small teams and all together as a company
Company HQ
Palo Alto, CA
Leadership
Brigham Hyde
(Co-Founder & CEO)Currently a Venture Partner at Audere Capital. Previously a Special Advisor at EVERSANA, was an Official Member of Forbes Technology Council, and worked as a Research Affiliate at MIT.
Nigam Shah
(Co-Founder)Currently Chief Data Scientist at Stanford Health Care, as well as Head of Medicine at Stanford University School of Medicine. Previously interned in Research at IBM.
Saurabh Gombar
(Co-Founder &Chief Medical Officer)Currently Clinical Instructor at Stanford Health Care. Previously studied a PhD at Albert Einstein College of Medicine, founded Alpha Abacus and was a Software Engineer at Ericsson.
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