ZipRecruiter

Log In

1

Israel Machine Learning Jobs (NOW HIRING)

Home365

Vacancy Coordinator

Pittsburgh, PA

Powered by innovative machine learning applications, we optimize everything we do. We are backed by ... Designed in California and built by our talented tech team based in Tel Aviv, Israel, our platform ...

ClipCall, Inc.

Vacancy Coordinator

Pittsburgh, PA · On-site

Powered by innovative machine learning applications, we optimize everything we do. We are backed by ... Designed in California and built by our talented tech team based in Tel Aviv, Israel, our platform ...

Home365

Vacancy Coordinator

Pittsburgh, PA · Remote

Powered by innovative machine learning applications, we optimize everything we do. We are backed by ... Designed in California and built by our talented tech team based in Tel Aviv, Israel, our platform ...

KLA Corporation

HPC Systems Engineer

Ann Arbor, MI · On-site

Talent includes over 500 engineers across global centers in Israel, China, India, and the US. Each ... machine-learning workloads-enabling hundreds of engineers to do their best work every day. You'll ...

Orbotech

Algorithm Development Engineer

Milpitas, CA · On-site

$130K - $221K/yr

The division consists of a global team located in US, Israel, China, and India. /Preferred ... Machine learning (Minimal travel required.) Desired Qualifications * Experience in developing ...

next page

Showing results 1-20

People also search for

All JobsIsrael Machine Learning Jobs

Israel Machine Learning information

See salary details

$25.5K

$42.6K

$88K

How much do israel machine learning jobs pay per year?

As of Jun 8, 2026, the average yearly pay for israel machine learning in the United States is $42,584.00, according to ZipRecruiter salary data. Most workers in this role earn between $32,500.00 and $46,000.00 per year, depending on experience, location, and employer.

What are Israel Machine Learning jobs?

Israel Machine Learning jobs refer to roles based in Israel that focus on developing, implementing, and optimizing machine learning models and algorithms. Professionals in these positions may work in sectors like technology, healthcare, finance, cybersecurity, and autonomous vehicles, contributing to Israel's reputation as a global tech hub. Common responsibilities include data preprocessing, model training, evaluation, and deployment, as well as collaborating with data scientists, engineers, and product teams. Many employers in Israel look for candidates with strong backgrounds in computer science, mathematics, and programming languages such as Python or R. These jobs are in high demand due to the country's innovative start-up ecosystem and investment in artificial intelligence research.

What are the key skills and qualifications needed to thrive as a Machine Learning Engineer in Israel, and why are they important?

To thrive as a Machine Learning Engineer in Israel, a strong background in mathematics, statistics, programming (Python, R), and a relevant degree in computer science or a related field is essential. Familiarity with machine learning frameworks like TensorFlow, PyTorch, and experience with cloud platforms such as AWS or Google Cloud are typically required, along with knowledge of data processing tools. Critical thinking, problem-solving, and excellent communication skills are important soft skills that help in collaborating with teams and stakeholders. These competencies enable the effective design, development, and deployment of impactful machine learning solutions in Israel's fast-paced tech ecosystem.

What are some common challenges faced by machine learning engineers working in Israel, and how can they overcome them?

Machine learning engineers in Israel often encounter challenges such as working with limited datasets, adapting to rapidly evolving technologies, and collaborating across multicultural teams in a fast-paced startup environment. To overcome these, engineers typically leverage Israel’s strong tech community by participating in local meetups and knowledge-sharing forums, and they often work closely with both research and product teams to ensure solutions are practical and scalable. Staying up-to-date with global advancements and building a strong professional network are also key to navigating these challenges successfully.
High-Speed Interface Validation Engineer, Post Silicon Validation

High-Speed Interface Validation Engineer, Post Silicon Validation

Amazon

Austin, TX • On-site

Full-time

Posted 10 days ago

Amazon rating

7.4

Company rating: 7.4 out of 10

Based on 6,823 frontline employees who took The Breakroom Quiz

7th of 39 rated national retailers

Job description

Annapurna Labs, an AWS organization with development centers in the U.S. and Israel, builds custom silicon and software for AWS customers. Our team combines cloud-scale innovation with world-class expertise across silicon engineering, hardware design, verification, software, and operations to tackle technical challenges that have never been seen before


Join our Post-Silicon Validation team to validate the critical high-speed interconnects - HBM, PCIe, UCIe, and chip-to-chip links - that enable massive bandwidth and scaling in AWS's next-generation ML accelerators. You'll ensure link integrity, performance, and reliability at the electrical and protocol layers across the full product lifecycle, from first silicon through production deployment in AWS data centers.
You'll work in a fast-paced, startup-like environment alongside some of the brightest minds in the industry on next generation, internet-scale technology that directly impacts how customers use Machine Learning acceleration.

Your expertise will be instrumental in validating the I/O technologies that enable our custom silicon to scale beyond what was previously possible.
Key job responsibilities
Validate high-speed interfaces (HBM, PCIe, UCIe, custom SerDes) end-to-end from PHY training through sustained traffic
Perform electrical characterization: eye diagrams, jitter analysis, voltage margin, and equalization tuning
Execute protocol-level compliance testing and interoperability validation against industry specifications
Stress-test links across PVT (Process, Voltage, Temperature) corners and aging conditions
Debug link training failures, bit errors, and performance degradation using lab instrumentation and silicon debug features
Collaborate with PHY design teams on equalization optimization, margin improvement, and silicon feedback
A day in the life
Your primary focus is making sure the high-speed links on our AI chips actually work - reliably, at speed, and across all conditions. You'll spend time in the lab: scoping eye diagrams, tracking down why a link dropped during a thermal sweep, or tuning equalization to squeeze out extra margin.

Beyond the hands-on debug, you'll also develop compliance test suites and build the characterization data that drives production readiness decisions. When things get weird, you're the one who figures out why.
About the team
The MLA Post-Silicon Validation team owns validation of AWS's next-generation ML training accelerators from first silicon through production deployment in AWS data centers.

We sit at the intersection of hardware, firmware, and ML software - ensuring every layer of the stack performs, scales, and meets the quality bar. Our team culture values deep technical ownership, data-driven decisions, and a bias for action. We operate with startup agility backed by AWS-scale resources, and our work directly enables the cloud computing infrastructure that millions of customers rely on for AI/ML workloads.

What Amazon employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom

Amazon logo

About Amazon

Sourced by ZipRecruiter

Amazon.com, Inc., commonly known as Amazon, is an American multinational technology company. It was founded by Jeff Bezos in 1994 and initially started as an online marketplace for books. Since then, Amazon has expanded its operations and become one of the largest e-commerce companies in the world. Amazon's primary business is its online retail platform, where customers can purchase a vast array of products, including electronics, clothing, books, home goods, and much more. The company offers a convenient and user-friendly shopping experience, with features such as fast shipping, customer reviews, and personalized recommendations. In addition to its e-commerce platform, Amazon has diversified its business into various other areas. One of its notable ventures is Amazon Web Services (AWS), a comprehensive cloud computing platform that provides services such as storage, compute power, and database management to individuals and businesses. AWS has become a leader in the cloud computing industry, powering many websites and applications worldwide. Amazon has also developed its own consumer electronics, including the popular Amazon Kindle e-reader, Fire tablets, Fire TV streaming devices, and the Alexa-powered Echo smart speakers. The Alexa voice assistant, integrated into these devices, allows users to interact with their devices using voice commands, perform tasks, and access information. Furthermore, Amazon has expanded into media and entertainment. It operates Prime Video, a streaming service that offers a wide range of movies, TV shows, and original content. Amazon Music provides a platform for streaming and purchasing digital music, while Audible offers audiobooks and other audio content. The company's commitment to customer satisfaction and convenience is demonstrated by its membership program, Amazon Prime. Prime members receive various benefits, including free two-day shipping, access to streaming services, exclusive deals, and more.

Industry

It services, book publishers, retail, real estate and computer and electronic product manufacturing

Company size

10,000+ Employees

Headquarters location

Seattle, WA, US

View All Amazon Jobs

Apply