Home For Hospitals For Clinicians Company Blogs Videos ROI Calculator Mobile Implementation Careers Clinician Login Schedule Demo
We're Hiring

Build the Future of Maternal Care

Join a team of clinicians, engineers, and operators working to make every birth safer through AI-powered predictive intelligence.

View Open Positions

Work That Matters

Healthcare technology hasn't kept pace with the needs of Labor & Delivery. For decades, hospitals have relied on outdated systems that bury clinical teams in manual work and reactive decision-making. We started Birth Model to fix that.

Founded by a board-certified OB-GYN who has delivered over 4,000 babies, Birth Model is building AI-native clinical decision support that predicts delivery times within 12 minutes, automates documentation, and optimizes staffing — all through seamless EHR integration.

Backed by Techstars, Johns Hopkins, and CareFirst BlueCross BlueShield, we're a fast-moving team built around clinical impact, engineering excellence, and solving problems that save lives.

Our Values

The principles that guide how we build and work together

🏥

Clinical First

We're building for clinicians, not around them. Every feature starts with real clinical workflows and the people who use them daily.

⚡

Correctness Over Speed

In healthcare, reliability isn't optional. We value thoughtful engineering and getting it right over moving fast and breaking things.

🎯

Own the Outcome

We take end-to-end responsibility for our work. When something needs to be done, we figure it out and make it happen.

🔬

Data-Driven Decisions

We rely on evidence, not assumptions. Our models are built on 150,000+ patient charts and validated by real-world outcomes.

🤝

Radical Transparency

We share context openly, give honest feedback, and trust each other to handle the truth. No politics, no surprises.

🚀

Grow Through Challenge

We seek out hard problems and embrace discomfort as a catalyst for growth. The best learning happens at the edge of your abilities.

Why Join Us

What you can expect when you join Birth Model

💰

Competitive Compensation

Market-rate salary with equity participation based on experience and role.

🏥

Health Insurance

Comprehensive medical coverage to keep you and your family healthy.

🌍

Flexible Work

Hybrid environment with flexibility to work where you're most productive.

📈

Rapid Growth

Take on increasing responsibility quickly as the company scales.

🎓

Direct Mentorship

Learn from engineers with experience at Amazon, Microsoft, and leading health tech companies.

❤️

Real Impact

Your work directly improves patient care and clinical outcomes in L&D units.

Open Positions

Find your role in transforming maternal healthcare

2
Open Positions

Junior Software Engineer — Healthcare Technology

New York / New Jersey
Full-Time
Engineering

About the Role

We're looking for a recent graduate or early-career software engineer to join our engineering team. You'll work across the stack, contributing to production features that are actively used by clinical teams in labor & delivery units. This is a hands-on role where you'll write real code, ship real features, and learn how to build reliable software in a healthcare setting with mentorship and support from experienced engineers.

What You'll Work On

  • Building and maintaining backend APIs and frontend features
  • Working with healthcare data standards such as FHIR and HL7
  • Writing unit and integration tests for production code
  • Debugging real production issues and improving system reliability
  • Reviewing code and receiving structured feedback on your own PRs
  • Collaborating with clinicians and internal stakeholders to understand real-world workflows

Requirements

  • Bachelor's degree and/or M.Eng. in Computer Science or equivalent practical experience
  • Proficiency in Python or JavaScript (experience with both is a plus)
  • Understanding of REST APIs and relational databases
  • Comfort using Git and command-line tools
  • Strong debugging and problem-solving skills
  • Clear written communication

Tech Stack

Python Django React React Native PostgreSQL Redis AWS Docker Epic FHIR API HL7

Junior Machine Learning Engineer — Predictive Analytics

Remote / New York / New Jersey
Full-Time
Machine Learning

About the Role

We're looking for a recent graduate or early-career engineer with a passion for machine learning to join our team. You'll work alongside experienced engineers and clinicians to improve our prediction analytics platform — including delivery time predictions, risk scoring models, and staffing optimization algorithms. This is a hands-on role with significant mentorship and training opportunities as you grow your ML engineering skills in a real-world healthcare environment.

What You'll Work On

  • Assisting with ML model development and optimization for delivery time prediction
  • Learning to build and manage ML pipelines on AWS SageMaker
  • Processing and feature engineering on healthcare datasets (150K+ patient records)
  • Supporting development of risk scoring models for maternal health indicators
  • Writing tests and documentation for ML systems
  • Collaborating with clinicians to understand clinical workflows and data
  • Learning MLOps best practices including model monitoring and deployment

Requirements

  • Bachelor's or Master's degree in Computer Science, Data Science, Statistics, or related field
  • Coursework or project experience in machine learning or data science
  • Proficiency in Python and familiarity with ML libraries (scikit-learn, pandas, numpy)
  • Understanding of fundamental ML concepts (supervised learning, model evaluation, feature engineering)
  • Strong analytical and problem-solving skills
  • Eagerness to learn and grow in a fast-paced startup environment
  • Clear written and verbal communication skills

Nice to Have

  • Internship or project experience with ML/data science
  • Exposure to cloud platforms (AWS, GCP, or Azure)
  • Familiarity with deep learning frameworks (PyTorch, TensorFlow)
  • Interest in healthcare or clinical applications
  • Experience with SQL and relational databases

Tech Stack

Python AWS SageMaker scikit-learn PyTorch pandas numpy PostgreSQL Docker Jupyter S3

How You'll Be Supported

  • Direct mentorship from senior engineers with ML and healthcare experience
  • Structured onboarding and training on our ML infrastructure
  • Regular code reviews with actionable feedback
  • Exposure to real production ML systems and clinical data
  • Clear path for growth and increasing technical ownership

Not Ready to Apply? Let's Connect

Learn more about Birth Model and see our platform in action with a personalized demo.

Schedule a Demo