עדיין מחפשים עבודה במנועי חיפוש? הגיע הזמן להשתדרג!
במקום לעבור לבד על אלפי מודעות, Jobify מנתחת את קורות החיים שלך ומציגה לך רק משרות שבאמת מתאימות לך.
מעל 80,000 משרות • 4,000 חדשות ביום
חינם. בלי פרסומות. בלי אותיות קטנות.
מלאה
35,000-55,000 ₪
venture-backed, fast-growing startup with a mission to use the power of Artificial Intelligence (AI) to get everyone access to higher quality healthcare at more affordable costs. Were looking for mission driven individuals to join our team and help us eliminate healthcare inequalities to build a better and healthier future.
Featured most recently in Forbes and Business Insider as a leading AI startup, a telehealth company that harnesses the power of technology to help provide the smartest digital healthcare platform to patients, hospital systems, and providers across the United States. Our AI powered application helps bring together the knowledge of thousands of doctors and anonymous medical data to provide the highest quality care to our patients. We offer a free symptom checker, 24/7 access to board-certified doctors, ability to refill prescriptions from your phone, and more. All within one application - no insurance or preauthorization required.
was founded in 2016, and has partnered with visionary and leading hospital systems and providers such as Cedars-Sinai, Mayo Clinic, and Elevance Health. Join us on our mission to help provide better healthcare for less.
About the role:
We are looking for a motivated and experienced Machine Learning Platform Engineer to join our dynamic team.
In this role, you will collaborate closely with data scientists and DevOps professionals to design and build the infrastructure, ecosystem libraries, and pipelines that power our data science initiatives. You will take ownership of model development, monitoring, and maintenance, working hand-in-hand with data scientists on a daily basis.
If youre passionate about AI, machine learning, and writing high-quality codeand are eager to contribute to innovative, impactful do good projects in the digital health spacewed love to hear from you!
What you'll be doing:
Design, develop, and maintain our machine learning ecosystem libraries.
Build and manage data science code, Docker images, and Kubeflow Pipelines (KFP).
Create and maintain CI scripts to ensure seamless integration and delivery.
Conduct thorough code reviews to uphold high-quality standards.
Collaborate closely with data scientists, understanding and addressing their evolving needs.
Work alongside software developers to seamlessly integrate machine learning models into production systems.
Stay current with the latest advancements in machine learning, leveraging innovative techniques to enhance the companys products and services.
Featured most recently in Forbes and Business Insider as a leading AI startup, a telehealth company that harnesses the power of technology to help provide the smartest digital healthcare platform to patients, hospital systems, and providers across the United States. Our AI powered application helps bring together the knowledge of thousands of doctors and anonymous medical data to provide the highest quality care to our patients. We offer a free symptom checker, 24/7 access to board-certified doctors, ability to refill prescriptions from your phone, and more. All within one application - no insurance or preauthorization required.
was founded in 2016, and has partnered with visionary and leading hospital systems and providers such as Cedars-Sinai, Mayo Clinic, and Elevance Health. Join us on our mission to help provide better healthcare for less.
About the role:
We are looking for a motivated and experienced Machine Learning Platform Engineer to join our dynamic team.
In this role, you will collaborate closely with data scientists and DevOps professionals to design and build the infrastructure, ecosystem libraries, and pipelines that power our data science initiatives. You will take ownership of model development, monitoring, and maintenance, working hand-in-hand with data scientists on a daily basis.
If youre passionate about AI, machine learning, and writing high-quality codeand are eager to contribute to innovative, impactful do good projects in the digital health spacewed love to hear from you!
What you'll be doing:
Design, develop, and maintain our machine learning ecosystem libraries.
Build and manage data science code, Docker images, and Kubeflow Pipelines (KFP).
Create and maintain CI scripts to ensure seamless integration and delivery.
Conduct thorough code reviews to uphold high-quality standards.
Collaborate closely with data scientists, understanding and addressing their evolving needs.
Work alongside software developers to seamlessly integrate machine learning models into production systems.
Stay current with the latest advancements in machine learning, leveraging innovative techniques to enhance the companys products and services.
Requirements:
5+ years of hands-on industry experience with Python or C++/Rust/Java/Go.
3+ years of experience in backend or platform development.
2+ years of experience working with cloud platforms such as Google Cloud (preferred), Azure, or AWS, including familiarity with ML workflow frameworks like KFP or Vertex Pipelines.
Proficiency with Docker.
Solid experience in ML/AI development (a must).
Expertise with transformers, PyTorch, CUDA, and other low-level ML libraries.
Familiarity with inference optimization libraries (e.g., TGI, VLLM, etc.).
Knowledge of tuning frameworks and libraries (e.g., TorchTune, TRL, Unsloth).
Familiarity with Kubernetes.
Strong focus on code quality and optimization.
Excellent problem-solving skills and a proactive attitude.
Collaborative mindset with the ability to work closely with cross-functional teams. Strong communication and teamwork skills are essential.
5+ years of hands-on industry experience with Python or C++/Rust/Java/Go.
3+ years of experience in backend or platform development.
2+ years of experience working with cloud platforms such as Google Cloud (preferred), Azure, or AWS, including familiarity with ML workflow frameworks like KFP or Vertex Pipelines.
Proficiency with Docker.
Solid experience in ML/AI development (a must).
Expertise with transformers, PyTorch, CUDA, and other low-level ML libraries.
Familiarity with inference optimization libraries (e.g., TGI, VLLM, etc.).
Knowledge of tuning frameworks and libraries (e.g., TorchTune, TRL, Unsloth).
Familiarity with Kubernetes.
Strong focus on code quality and optimization.
Excellent problem-solving skills and a proactive attitude.
Collaborative mindset with the ability to work closely with cross-functional teams. Strong communication and teamwork skills are essential.
This position is open to all candidates.
במקום לעבור לבד על אלפי מודעות, Jobify מנתחת את קורות החיים שלך ומציגה לך רק משרות שבאמת מתאימות לך.
מעל 80,000 משרות • 4,000 חדשות ביום
חינם. בלי פרסומות. בלי אותיות קטנות.
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