---
title: 'Machine Learning Engineer at Hello Heart'
canonical: 'https://feeny.ai/job/machine-learning-engineer-hello-heart-tel-aviv-y6ebrj7520mn'
type: 'job'
last_seen: '2026-09-13'
---

# Machine Learning Engineer at Hello Heart

- **Company:** Hello Heart
- **Location:** Tel Aviv, Israel
- **Posted:** 2026-08-05
- **Last confirmed live:** 2026-09-13
- **Apply:** https://www.helloheart.com/about/careers?gh_jid=8675737002

## Job description

About Hello Heart:

Hello Heart is on a mission to make heart attacks a thing of the past.

We’re an AI company focused exclusively on heart health, building a platform that predicts and prevents cardiac events before they happen—identifying risk up to 10 days in advance versus 10 years in traditional clinical models.

This is already working at scale. Hello Heart has been shown to reduce inpatient hospital days by 47% and deliver ~$1,800 in annual savings per member. Hello Heart is the cardiac prevention partner to over 80% of large U.S. health plans and serves hundreds of public and private employers.

We’re defining how the #1 cause of death—heart disease—is managed in the AI era. Join us.

## About the Role

Hello Heart is seeking a Machine Learning Engineer to join the team that builds the predictive intelligence powering the Hello Heart app. You will own the ML models behind user engagement, cardiovascular risk stratification, and personalized health recommendations — the systems that determine what users see, when they're nudged, and how their health trajectories are shaped.

This role demands both statistical depth and engineering proficiency — you will be expected to take models from research through to deployment, write code built for production, and use AI coding assistants fluently as part of how you get work done.

## Responsibilities

- Lead end-to-end development and production ownership of predictive ML models, from data exploration and feature engineering through training, validation, deployment, real-time serving, and ongoing monitoring across engagement and clinical risk domains.
- Apply strong statistical foundations to model design, feature selection, uncertainty quantification, and interpretation of results.
- Write high-quality, maintainable, well-tested production-grade Python code, and own its observability, debugging, reliability, and scalability in production.
- Use AI coding assistants to accelerate development, code review, testing, debugging, and documentation without sacrificing quality or rigor.
- Partner with product managers, data engineers, and software engineers to translate strategic questions and user behavior patterns into scalable, production-ready, data-driven solutions.
- Research and implement cutting-edge ML techniques spanning supervised and unsupervised learning, causal inference, deep learning, and reinforcement learning to tackle complex healthcare challenges.
- Build and maintain production ML infrastructure, including CI/CD, real-time model serving, versioning, evaluation pipelines, monitoring, and observability.
- Design and interpret A/B tests and other experimental methodologies to measure the impact of models, features, and interventions.

## Qualifications

- 5+ years of hands-on experience building, deploying, operating, and debugging ML systems in production, with end-to-end ownership from modeling through production.
- Bachelor's degree in Statistics, Computer Science, Applied Mathematics, Engineering, or a related quantitative field — a strong statistical foundation is essential for this role.
- Deep expertise in statistics and probability: distributions, inference, hypothesis testing, Bayesian methods, causal inference, and experimental design, with the ability to apply these rigorously in a healthcare context.
- Strong software engineering skills in Python, with experience writing high-quality, maintainable, well-tested production code.
- Hands-on experience with CI/CD, real-time or low-latency model serving, monitoring and observability, production debugging, reliability, and scalability.
- Proficiency using AI coding assistants as a core part of the development workflow.
- Expertise with ML frameworks such as PyTorch, scikit-learn, XGBoost, or LightGBM.
- Experience building and owning end-to-end ML pipelines, including feature engineering, model registries, automated evaluation, deployment, and monitoring.
- Strong ability to translate complex statistical and technical findings into clear insights and recommendations for both technical and non-technical stakeholders.

Hello Heart has a positive, diverse, and supportive culture - we look for people who are collaborative, creative, and courageous. Oh, and if you want to see some recent evidence of the fun things we do at Hello Heart, check out our [Instagram page](https://www.instagram.com/helloheartapp/).

## About Hello Heart

## Company Overview
- **One-liner**: Hello Heart is a digital therapeutics company focused exclusively on preventing and managing heart disease through AI-powered coaching, connected devices, and behavioral science.
- **Entity Type**: Private (Series D)
- **Headquarters**: Menlo Park, California (Silicon Valley) with additional offices in Tel Aviv, Israel; New York City; and Austin, Texas [helloheart.com](https://www.helloheart.com/about/company)
- **Founded**: 2013
- **Founders**: Maayan Cohen (CEO) and Michal Gutman [helloheart.com](https://www.helloheart.com/about/company)

## Core Business
- **Primary industry**: Digital Therapeutics / Healthcare IT
- **Target customers**: B2B (employers, health plans, health systems) — the solution is distributed through benefits programs; end users are individuals managing hypertension and cardiovascular risk.
- **Mission or purpose statement**: "Taking on the number one cause of death" — empowering people to manage their heart health and change the future of heart health for good. [helloheart.com](https://www.helloheart.com/about/company)

## Products & Services
- **Hello Heart Program (Digital Therapeutic)**: An app-based program combining a free blood pressure monitor with AI-powered guidance, personalized coaching, medication tracking, and behavioral science to help users lower and manage their blood pressure. The program is clinically validated and has demonstrated a 47% reduction in inpatient hospital days and $1,709 in savings per member per year. [helloheart.com](https://www.helloheart.com/)
- **Nia (AI Health Assistant)**: An AI-powered assistant designed to help members understand heart health questions between visits, operating within clinician-informed safety guardrails for accuracy and safety. [helloheart.com](https://www.helloheart.com/)

## Market Standing
- **Valuation/Market Cap**: Not disclosed
- **Key Metric**: **$138M total funding raised through Series D** [helloheart.com](https://www.helloheart.com/about/careers)
- **Notable Investors/Partners**: Member of the American Heart Association Innovators’ Network, American College of Cardiology Industry Advisory Forum, and CVS Health Point Solutions Management program. [helloheart.com](https://www.helloheart.com/about/company)
- **Growth Signals**: More than **225 global employees** and over **452K subscribers** served. The company is expanding its AI capabilities with the launch of "Nia" and has a growing commercial presence across the U.S. [helloheart.com](https://www.helloheart.com/about/careers)

## Competitive Advantages
- **Exclusive focus on heart disease**: Hello Heart is the only digital therapeutics company to focus exclusively on heart disease, giving it deep domain expertise and a highly tailored product.
- **Proven clinical and financial ROI**: Published outcomes show 47% fewer inpatient hospital days and significant per-member cost savings, making the value proposition clear to employers and health plans.
- **AI-first approach with safety guardrails**: Their AI assistant "Nia" is purpose-built for heart health and operates within clinician-defined boundaries, balancing innovation with patient safety.
- **Connected device integration**: Providing a free blood pressure monitor removes barriers to entry and ensures accurate data collection.

## Strategic Focus
- **AI for behavior change and risk detection**: Hello Heart is investing heavily in AI to deliver more personalized, real-time support and to proactively identify risk signals.
- **Scaling commercial partnerships**: Through partnerships with major health plans (e.g., CVS Health), employers, and health systems, the company aims to expand its reach to millions more at-risk individuals.
- **Data privacy leadership**: The company emphasizes that it will "never sell our members' health information," positioning privacy as a core brand value in a sensitive market. [helloheart.com](https://www.helloheart.com/)

## Why Work Here
- **Mission-driven impact**: Employees work on a product that directly addresses the leading cause of death globally, offering a strong sense of purpose. The company culture is described as "transparent and collaborative" with a strong team "driven to change how patients manage their health." [helloheart.com](https://www.helloheart.com/about/company)
- **Growth and ownership**: Each team member receives an equity package ("stock options makes each of our employees real partners"), and the company emphasizes challenge and career growth. [helloheart.com](https://www.helloheart.com/about/careers)
- **Benefits**: Full medical, dental, and vision coverage for U.S. employees and dependents; unlimited PTO; and an annual company-wide offsite for all team members. [helloheart.com](https://www.helloheart.com/about/careers)
- **Work model**: The company has offices in multiple cities (Menlo Park, Tel Aviv, New York, Austin), but specific remote/hybrid policy details are not publicly stated on their careers page. [helloheart.com](https://www.helloheart.com/about/company)
- **Engineering culture**: With a Chief Technology and Product Officer leading product development, the company uses AI and connected devices, offering a compelling environment for engineers and data scientists in healthcare tech.

## Sources
1. [Hello Heart - About/Company](https://www.helloheart.com/about/company)
2. [Hello Heart - Careers Page](https://www.helloheart.com/about/careers)
3. [Hello Heart - Official Site](https://www.helloheart.com/)
4. [Hello Heart - Job Listings (Greenhouse)](https://job-boards.greenhouse.io/helloheart)

## Other roles at Hello Heart

- [Tier 3 Support Engineer](https://feeny.ai/job/tier-3-support-engineer-hello-heart-united-states-37gkz4mk3ja3) — United States
- [Senior Full-Stack Engineer (Mobile Specialization)](https://feeny.ai/job/senior-full-stack-engineer-mobile-specialization-hello-heart-tel-aviv-tbapw2c7zprn) — Tel Aviv, Israel
- [Director, Labor Sales](https://feeny.ai/job/director-labor-sales-hello-heart-menlo-park-california-4tsnr5btxedz) — Menlo Park California, United States
- [Director, Clinical Researcher](https://feeny.ai/job/director-clinical-researcher-hello-heart-united-states-nrxrb10hzyvh) — United States
- [Deputy General Counsel, Product](https://feeny.ai/job/deputy-general-counsel-product-hello-heart-united-states-t4veq1qxzy05) — United States
- [Senior Product Manager](https://feeny.ai/job/senior-product-manager-hello-heart-tel-aviv-r2c69gawswjg) — Tel Aviv, Israel
- [Associate Director, Client Success](https://feeny.ai/job/associate-director-client-success-hello-heart-united-states-zf5a7s61gcks) — United States
- [Senior Product Manager, B2C](https://feeny.ai/job/senior-product-manager-b2c-hello-heart-tel-aviv-h7agt1f1s419) — Tel Aviv, Israel
- [Senior Director, GTM Strategy and Operations](https://feeny.ai/job/senior-director-gtm-strategy-and-operations-hello-heart-united-states-06ypn44j0550) — United States
- [Vice President, Labor Sales](https://feeny.ai/job/vice-president-labor-sales-hello-heart-menlo-park-california-1nsd8g6z8k18) — Menlo Park California, United States