3382 Cuda Kernel Optimizer Ml Engineer jobs in Chicago,IL

Applied Machine Learning Engineer - ML & AI Systems

TAG - The Aspen Group

Chicago, IL 60290

QUANTEAM - North America (RAINBOW PARTNERS Group)

Chicago, IL 60290

Aramco

Chicago, IL 60290

Bachelor degree AI, Computer Science, Data Science, Engineering, Mathematics, or related fields.
It is also necessary to have proficiency in Python and experience with large-scale data and computing environments.
Coding in PyTorch, TensorFlow, JAX skills are also required.
You should have a minimum of 5 years of experience.
A PhD is also required.
You will have a strong foundation in machine learning, statistics, and optimization.
You will also have a proven track record of conducting advanced technical projects with an ability to connect basic science research with industrial applications.

Woodward

Niles, IL 60714

Detail orientation and ability to follow work instructions
High school diploma or equivalent required
ITAR defines a U.S. person as a U.S. Citizen, U.S. Permanent Resident (i.e. 'Green Card Holder'), Political Asylee, or Refugee.
Mechanical aptitude required
Basic computer skills
All applicants must be U.S. persons within the meaning of ITAR and EAR, or possess all required authorizations from the U.S. Department State Department and the U.S. Department of Commerce.
Basic written/verbal communication skills
Willingness to demonstrate eagerness, enthusiasm, and optimism for work activities
2-5 years of related experience required
Ability to use a variety of basic hand tools
This position requires use of information which is subject to the International Traffic in Arms Regulations (ITAR) and the Export Administration Regulations (EAR).

Epitria Consulting

Chicago, IL 60290

Amazon

Chicago, IL 60629

Bunzl

Morton Grove, IL 60053

10+ years of hands-on software engineering experience, with strong depth across backend, frontend, APIs, and integrations.
Strong experience with modern application development and distributed systems.
Experience evaluating and recommending technology stacks in collaboration with engineering, security, and platform teams.
Proven experience building and supporting production systems in cloud environments
High school diploma or GED required.
Bachelor's or Master's degree in Computer Science, Information Systems, or equivalent professional experience.
Practical experience applying AI or AI-assisted tools in engineering or platform workflows (formal ML background not required).
Comfort working with security and compliance teams on approvals and production readiness.
Ability to work across both modern and legacy systems