---
title: 'Staff Machine Learning Engineer at Bayesian Health, Inc.'
canonical: 'https://feeny.ai/job/staff-machine-learning-engineer-bayesian-health-inc-remote-9cpdx5jh71xf'
type: 'job'
last_seen: '2026-09-08'
---

# Staff Machine Learning Engineer at Bayesian Health, Inc.

- **Company:** Bayesian Health, Inc.
- **Location:** Remote
- **Employment:** full-time
- **Work type:** remote
- **Posted:** 2024-12-19
- **Last confirmed live:** 2026-09-08
- **Apply:** https://jobs.ashbyhq.com/bayesianhealth/48eed0cc-2eaf-4c9d-a394-4efb14200b75

## Job description

## STAFF MACHINE LEARNING ENGINEER

## IN BRIEF

- We’re an early-stage startup on a mission to make healthcare proactive by empowering physicians, nurses, and care team members with real-time data to save lives.
- Part Data Scientist (building models), part Applied Scientist (productionizing models), and part MLE (deploying, maintaining), also known as “Full Stack Data Scientist” – someone who wants to own the end-to-end effectiveness of their real-time models in a live, clinical AI product.

## WHO WE ARE

Bayesian Health’s mission is to improve patient outcomes by empowering clinicians with the insights they need to make the right decision for the right patient at the point-of-care. We’re a diverse team of clinicians, engineers, machine learning experts, product designers, and performance improvement leaders committed to enabling smarter, patient-specific care delivery through unlocking the power of data.

We’re funded by top tier tech and biotech investors: Andreessen Horowitz, American Medical Association’s venture arm, Catalio Partners, and LifeForce Capital. Our company has won many awards; most recent recognitions include: Forbes AI Top 50, World Economic Forum Tech Pioneer, Time Best Inventions, BioTech AI Company of the Year.

Read more about our recent publication in Nature Medicine that associates our products with lives saved. https://www.bayesianhealth.com/sepsis-research/?__hstc=251652889.1e7598f5de0ed9b513da684474e8a044.1710861879595.1710945070565.1710971833587.3&__hssc=251652889.1.1710971833587&__hsfp=1890770568

## WHAT YOU’LL DO

As a Staff Machine Learning Engineer, you are not satisfied with training and tuning ML models that predict clinical conditions in patients; you also want to own the effectiveness of your model in the real world. In practice, that means you aren’t afraid to get your hands dirty by writing data mapping code, debugging a specific patient case by following patient data as it moves through our AWS services, or improving the timeliness of your model’s predictions by reading and writing production-grade Python and SQL code.

## RESPONSIBILITIES

- Model Prototyping: Develop and tune innovative, new ML models and labeler systems based on deep understanding of clinical use cases and state-of-the-art ML methods.
- Productionizing: The same models that you develop with production-grade python.
- Deploying: Identify strategies for improving our production ML-based systems, and write, debug, and deploying production-grade Python code to implement those strategies.
- MLOps: Build infrastructure that enables ML model development and deployment in production systems.

## MINIMUM QUALIFICATIONS

- Ph.D. in a relevant field plus 3+ years relevant experience, or a relevant Master’s degree and 5+ years experience shipping ML based software products.
- Experience owning your ML models from prototyping to production.
- Experience writing production-grade Python and SQL code to implement and evaluate ML models in production systems.
- Experience using MLOps tools such as SageMaker and MLFlow.

## PREFERRED QUALIFICATIONS

- Experience going 0-1 and shipping high impact AI/ML products.
- Experience building solutions within healthcare and/or familiarity working with messy health data.
- Experience working with enterprise customers, and the agility and responsiveness they require.
- Comfortable interpreting / leveraging state-of-the-art peer-reviewed methods or tools in designing your approach.
- Excitement for Bayesian’s mission and being a bar raiser so we can accelerate the pace at which we create value.

Bayesian Health provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.

This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation and training.

## About Bayesian Health, Inc.

## Company Overview
- **One-liner**: Bayesian Health provides a real-time clinical intelligence platform that uses AI to help health systems deliver proactive, high-reliability care by continuously monitoring patients and surfacing actionable insights.
- **Entity Type**: Private (Venture-backed)
- **Headquarters**: New York, United States
- **Founded**: Year not publicly specified; founded by Dr. Suchi Saria
- **Founders**: Dr. Suchi Saria (machine learning expert and health AI pioneer)

## Core Business
- **Primary industry**: Healthcare AI / Clinical Decision Support
- **Target customers**: B2B; large health systems and hospitals
- **Mission or purpose**: To raise the standard of patient care by enabling proactive, high-reliability care through real-time clinical intelligence, turning data noise into trusted, decisive action.

## Products & Services
- **Real-Time Clinical Intelligence Platform**: An AI-powered SaaS platform that continuously monitors every patient by reading the full electronic health record (EHR). It establishes each patient's baseline, detects meaningful changes, and surfaces only the patients who need attention with clear next steps. The platform targets top drivers of mortality and hospital utilization, including sepsis, deterioration, palliative care, transitions of care, heart failure, hospital-acquired pressure injuries (HAPI), and malnutrition. It is designed to integrate directly into the EHR workflow.

## Market Standing
- **Valuation/Market Cap**: Not publicly available
- **Key Metric**: Total Funding of **$15.2M** (as of July 2021)
- **Notable Investors/Partners**: Led by **Andreessen Horowitz** (a16z) in a $15M venture round (2021); also received a $225K grant from the **National Science Foundation** (2017). Partners with leading health systems.
- **Growth Signals**: Headcount grew **+34.3% YoY** to 38 employees. Received **FDA clearance** for the first continuous AI monitor for sepsis. Published a 5-site study in *Nature Medicine* showing an **89% reduction in mortality** and a **0.5-day reduction in length of stay**. Has 12 active job postings.

## Competitive Advantages
- **Clinician-Trusted Accuracy**: The platform flags patients **3+ hours earlier** than standard EHR alerts with **20x lower flag volume**, solving the "alert fatigue" problem that plagues other clinical AI tools. This drives adoption rates far above industry norms (e.g., one customer reported <1% adoption with other tools vs. high adoption with Bayesian).
- **Peer-Reviewed Validation**: Built on decades of research from Dr. Suchi Saria and published in top journals like *Nature Medicine*, with proven real-world outcomes (e.g., 89% reduction in mortality, 0.5-day reduction in length of stay across a 5-site study).
- **FDA Clearance**: Received FDA clearance for the first continuous AI monitor for sepsis, a significant regulatory moat.
- **Proven ROI**: Delivers measurable improvements in mortality, length of stay, and readmissions, making it a durable strategy for health systems rather than a disconnected initiative.

## Strategic Focus
- **Product Expansion**: Targeting top drivers of mortality and hospital utilization, including sepsis, deterioration, palliative care, heart failure, HAPI, and malnutrition.
- **Commercial Growth**: Scaling partnerships with leading health systems and expanding commercial reach.
- **Talent Acquisition**: Actively hiring across engineering, product, data science, and clinical roles to support growth.

## Why Work Here
- **Mission-Driven Impact**: Employees are directly involved in saving lives and improving patient outcomes at scale, with a clear focus on reducing mortality and hospital harm.
- **Culture**: Values include "Patients at the center," "Whole people, shared respect," "Truth seekers, stronger together," "No surprises, clear signals," and "Hard problems, real breakthroughs." The company emphasizes open debate, clear communication, and a high bar for excellence.
- **Work Environment**: Based in New York, NY, with a presence in Australia. The team is 79% US-based. The culture is described as collaborative, with a focus on solving hard problems.
- **Engineering & Science Focus**: The technical team makes up 26% of the workforce. The company is actively hiring for roles like Staff Machine Learning Engineer, Forward Deployed Software Engineer, and Director of AI/ML, indicating a strong emphasis on engineering and data science.
- **Notable Perks/Culture**: The company emphasizes "whole people, shared respect," making space for growth inside and outside of work. The mission is directly tied to saving lives and improving patient care.

## Sources
1. [bayesianhealth.com](https://www.bayesianhealth.com/)
2. [bayesianhealth.com/about](https://www.bayesianhealth.com/about)
3. [bayesianhealth.com/careers](https://www.bayesianhealth.com/careers/)
4. [linkedin.com/company/bayesian-health](https://www.linkedin.com/company/bayesian-health)
5. [jobs.ashbyhq.com/bayesianhealth](https://jobs.ashbyhq.com/bayesianhealth)

## Other roles at Bayesian Health, Inc.

- [Software Engineer, Application Integration](https://feeny.ai/job/software-engineer-application-integration-bayesian-health-inc-united-states-z2avdnb8p0cp) — United States
- [Software Engineer, Data Integration](https://feeny.ai/job/software-engineer-data-integration-bayesian-health-inc-united-states-p0fy30jbbzek) — United States
- [Infrastructure Engineer](https://feeny.ai/job/infrastructure-engineer-bayesian-health-inc-united-states-1d4f866wdtnx) — United States
- [Director of AI/ML](https://feeny.ai/job/director-of-ai-ml-bayesian-health-inc-united-states-4kfbjq24ac28) — United States
- [Software Engineer, Analytics](https://feeny.ai/job/software-engineer-analytics-bayesian-health-inc-united-states-h11kxer2a4qm) — United States
- [Client Success Account Executive, Clinical](https://feeny.ai/job/client-success-account-executive-clinical-bayesian-health-inc-united-states-bjbvhrfj7gv5) — United States
- [Senior/Staff Machine Learning Data Scientist](https://feeny.ai/job/senior-staff-machine-learning-data-scientist-bayesian-health-inc-united-states-eh6t1hnkk6h3) — United States
- [Clinical Integration, Nurse Consultant](https://feeny.ai/job/clinical-integration-nurse-consultant-bayesian-health-inc-remote-cvn0m89hd7y5)
- [Enterprise Growth Lead](https://feeny.ai/job/enterprise-growth-lead-bayesian-health-inc-remote-5kh5tv1cj544)
- [Staff Machine Learning Engineer](https://feeny.ai/job/staff-machine-learning-engineer-kikoff-san-francisco-ptnbmmfqvgvf) — San Francisco, CA