---
title: 'Senior Machine Learning Engineer, ML Ops at Hello Heart'
canonical: 'https://feeny.ai/job/senior-machine-learning-engineer-ml-ops-hello-heart-tel-aviv-qdseva0qfc3k'
type: 'job'
last_seen: '2026-11-01'
---

# Senior Machine Learning Engineer, ML Ops at Hello Heart

- **Company:** Hello Heart
- **Location:** Tel Aviv, Israel
- **Posted:** 2026-08-05
- **Last confirmed live:** 2026-11-01
- **Apply:** https://job-boards.greenhouse.io/helloheart/jobs/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 looking for a Senior ML Engineer/ML Ops to own the engineering behind the models in the Hello Heart app: member engagement, cardiovascular risk stratification, and personalized health recommendations. You'll be the first engineer dedicated to ML on our Data Platform team, and you'll own the full model lifecycle: training pipelines, the model registry, automated evaluation and release, real-time and batch serving, monitoring, and retraining. You'll work closely with the data scientists who own the modeling and with the product engineers who call the models, so that what they build ships safely and runs reliably. Our models run on Snowflake ML. Our ML platform is still taking shape, so you'll set the standards rather than inherit them. You should have a proven record of owning ML systems in production and be comfortable using AI coding assistants as a core part of your workflow.

Responsibilities:

- Turn model releases into a pipeline: every new version is evaluated automatically, gated against the one in production, approved, and rolled out with a fast rollback.
- Build drift and performance monitoring for our production models, and the retraining that follows from it.
- Own the model lifecycle end to end: training pipelines, versioning and the model registry, automated evaluation, promotion and rollback, deployment, monitoring, and retraining.
- Build CI/CD for ML: automated testing and validation of every model version, release gates with clear criteria, and an audit trail of who shipped what and why.
- Serve models in real time through our Python model-serving service and Snowflake Container Services, with a focus on low latency, reliability, and graceful degradation. Run batch inference in the warehouse with clear standards for latency, correctness, and cost.
- Build and operate ML pipelines in Airflow and Snowflake, from feature preparation through training and batch scoring, with reproducible training data.
- Monitor drift, data quality, latency, and model performance, and automate retraining that goes through the same release gate.
- Partner with data scientists, product engineers, and data engineers. Define clear interfaces between modeling, serving, and the services that consume models, and push back when a request belongs elsewhere.
- Handle members' health data responsibly: access control, pseudonymization, and nothing sensitive in logs.
- Write high-quality, well-tested production code, and own its observability, debugging, and reliability.

Requirements:

- 5+ years of software engineering, including 3+ years of hands-on MLOps owning production ML systems on AWS with a data or ML platform (e.g., Snowflake ML, Databricks, SageMaker, Vertex AI).
- Hands-on model management: versioning, registries, automated evaluation, and promotion and rollback of models in production.
- Experience building CI/CD and pipelines for ML: automated training, validation, and deployment (e.g., Jenkins, GitHub Actions), with orchestration in Airflow or similar.
- Strong Python experience, including building and operating Python services (APIs or gateways) in production.
- Experience serving models in real time: low-latency inference, autoscaling, and reliable serving architectures.
- Strong SQL and data warehouse experience (Snowflake preferred).
- Experience monitoring models in production (drift, data quality, and performance) and acting on what you find.
- Experience owning a solution end to end, from pipeline and model integration through deployment and production debugging.
- Proficiency with AI coding assistants as a core part of your workflow, and the judgment to review and verify what they produce.

Nice-to-Haves:

- Snowflake ML: Model Registry, Snowpark Container Services, ML Observability, or Notebooks and ML Jobs.
- Shadow and canary releases for models.
- Feature stores and ML lifecycle tooling (e.g., Feast, MLflow, Weights & Biases).
- Model development: feature engineering, training, and evaluation with scikit-learn, XGBoost, or LightGBM.
- Kubernetes and infrastructure as code (Terraform).
- Event-driven systems (Kafka).
- Integrating LLMs into production systems.
- Observability stacks (Prometheus, Grafana, Datadog).
- Experience with health or other regulated data (HIPAA).

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

- [Engineering Team Lead](https://feeny.ai/job/engineering-team-lead-hello-heart-tel-aviv-35177fq0me4m) — Tel Aviv, Israel
- [User Support Specialist](https://feeny.ai/job/user-support-specialist-hello-heart-united-states-h1192qby2vxv) — United States
- [Application Platform Team Lead](https://feeny.ai/job/application-platform-team-lead-hello-heart-tel-aviv-rjwwaym3n4qg) — Tel Aviv, Israel
- [Senior AI Builder](https://feeny.ai/job/senior-ai-builder-hello-heart-tel-aviv-st78vpxcx0np) — Tel Aviv, Israel
- [Senior Data Analyst, GTM](https://feeny.ai/job/senior-data-analyst-gtm-hello-heart-united-states-1fy2wefkx7nt) — United States
- [Senior Product Analyst](https://feeny.ai/job/senior-product-analyst-hello-heart-tel-aviv-t1gtppkwrwhe) — Tel Aviv, Israel
- [Director, Client Strategy and Growth](https://feeny.ai/job/director-client-strategy-and-growth-hello-heart-united-states-1s7vx2e27y19) — United States
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- [Senior Manager, Client Success](https://feeny.ai/job/senior-manager-client-success-hello-heart-united-states-nx2rq25ga73w) — United States
- [Vice President, Enterprise Marketing](https://feeny.ai/job/vice-president-enterprise-marketing-hello-heart-united-states-js5tvs3hncr6) — United States