AI/ML Staff Engineer

Posted 7 Days Ago
Be an Early Applicant
Herzliya
Hybrid
3-5 Years Experience
Automotive • Big Data • Information Technology • Robotics • Software • Transportation • Manufacturing
The Role
Develop deep learning and machine learning algorithms, own complete feature cycle, work in agile development methods, keep track of latest research in deep learning
Summary Generated by Built In

Description
General Motors Israel (Herzliya) takes a significant part in shaping the autonomous vehicle. We shape the face of the future vehicles in diverse fields by developing cutting edge technologies.
Within GM Israel, over 850 people working in an hybrid flexible mode on one of the most exciting challenges of our days.
GM is committed to Zero Emission, Zero Crashes and Zero Congestion vision.
About the Group:
Our ADAS group is on a journey to change our way of life, reduce accidents and help those who can't drive by applying cutting edge technologies into all of General Motors vehicle portfolio Providing a complete solution requires joining domains such as Artificial Intelligence, Machine Learning, Computer Vision, Sensor Fusion, Signal Processing, embedded platform and Micro Controllers development.
Our Perception Group develops the "brain" of the autonomous vehicle by applying cutting edge technologies into our vehicle's Perception and Decision-Making capabilities. The group joins domains such as Artificial Intelligence, Machine Learning, Computer Vision, Sensor Fusion and Signal Processing and embedded platform development.
You will join a team of experts that is using cutting edge technology to develop high end computer vision algorithms for vehicle's detection.
What will YOU do?

  • Development of deep learning and machine learning algorithms
  • Owning complete feature cycle - from research through solution design to implementation
  • Working in agile development methods
  • Keep track of latest state-of-the-art deep learning research


Additional Description
Your Skills & Abilities (Required Qualifications)

  • M.Sc. / Ph.D. in computer science or electrical engineering
  • Several years of experience in machine learning development.
  • Demonstrated expertise in developing and deploying machine learning models and algorithms.
  • Proficiency in python. Experience with machine learning frameworks and libraries.
  • Proficiency in designing clean, modular, and reusable code.


If you don't meet 100% of the requirements below - that's ok!
We believe in hiring by potential, on the job training and development, so, If you find the position exciting and think you can contribute and evolve,
please continue the application! We promise to consider your application even if you are missing a skill or two :-)
About GM
Our vision is a world with Zero Crashes, Zero Emissions and Zero Congestion and we embrace the responsibility to lead the change that will make our world better, safer and more equitable for all.
Why Join Us
We aspire to be the most inclusive company in the world. We believe we all must make a choice every day - individually and collectively - to drive meaningful change through our words, our deeds and our culture. Every day, we want every employee, no matter their background, ethnicity, preferences, or location, to feel they belong to one General Motors team.
Total Rewards | Benefits Overview
From day one, we're looking out for your well-being-at work and at home-so you can focus on realizing your ambitions. Learn how GM supports a rewarding career that rewards you personally by visiting Total Rewards resources.
Diversity Information
General Motors is committed to being a workplace that is not only free of unlawful discrimination, but one that genuinely fosters inclusion and belonging. We strongly believe that workforce diversity creates an environment in which our employees can thrive and develop better products for our customers. We encourage interested candidates to review the key responsibilities and qualifications for each role and apply for any positions that match their skills and capabilities. Applicants in the recruitment process may be required, where applicable, to successfully complete a role-related assessment(s) and/or a pre-employment screening prior to beginning employment. To learn more, visit How we Hire
Equal Employment Opportunity Statement (U.S.)
General Motors is proud to be an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran.
Accommodations (U.S. and Canada)
General Motors offers opportunities to all job seekers including individuals with disabilities. If you need a reasonable accommodation to assist with your job search or application for employment, email us [email protected] or call us at 800-865-7580. In your email, please include a description of the specific accommodation you are requesting as well as the job title and requisition number of the position for which you are applying.

Top Skills

Python

What the Team is Saying

Divya
Eseme
Kendra
Navya
Charles
Victoria
Sri
Jeremiah Hamlin
The Company
HQ: Detroit, MI
165,000 Employees
Hybrid Workplace
Year Founded: 1908

What We Do

At General Motors, our vision is to create a world with Zero Crashes, Zero Emissions, and Zero Congestion. We wholeheartedly embrace the responsibility to lead the change that will make our world better, safer, and more equitable for all.

Our industry and company are undergoing a once-in-a-lifetime technological transformation, which is reshaping our approach to technology and innovation. We are expanding our horizons through new technology platforms and driving innovations that deliver exceptional value to our customers.

Why Work With Us

We are determined to lead change for the world through technology, ingenuity and harnessing the creativity of our diverse team. Our “Work Appropriately” philosophy enables our employees have the flexibility to work where they can have the greatest impact to achieve their goals and for their individual success, depending on the nature of their work.

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Employees engage in a combination of remote and on-site work.

Typical time on-site: 3 days a week
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