layiq
worthy; deserving; fitting; suitable.
A role, opportunity, or path that merits attention, time, and pursuit.
Loading LAYIQ…Job opportunity
Santa Clara, California
Source: AMD careers · View original posting
From AMD's posting. “We” and “our” refer to the employer.
ADVANCE YOUR CAREER. ADVANCE THE WORLD.
At AMD, we believe technology has the power to solve the world’s most important challenges. From advancing healthcare and scientific discovery to powering AI and the technologies people rely on every day, innovation at AMD is shaping the future.
Whether you’re designing next-gen processors, enabling AI breakthroughs, or bringing leading edge products to market, every role at AMD contributes to something bigger — technology that moves the world forward. Join us and, together, we’ll advance your career.
We are hiring ML Systems Research Engineers to build the reinforcement learning, inference, and evaluation infrastructure behind AI-for-engineering systems. This role focuses on the systems that let agents and models improve real engineering workflows: running many attempts, evaluating correctness, measuring performance, managing long-latency rewards, and feeding results back into model and agent improvement.
You will work across compute optimization, hardware engineering automation, verification, simulation, debugging. The emphasis is on scalable ML systems that make research practical, repeatable, and useful for production engineering teams.
You are a systems-minded ML engineer or researcher who understands that model quality depends on the surrounding loop: data, tools, inference, graders, reward design, logging, and iteration speed. You can build reliable infrastructure, reason about RL and inference tradeoffs, and collaborate with scientists and applied engineers to make experiments reproducible and useful.
We are hiring ML Systems Research Engineers to build the reinforcement learning, inference, and evaluation infrastructure behind AI-for-engineering systems. This role focuses on the systems that let agents and models improve real engineering workflows: running many attempts, evaluating correctness, measuring performance, managing long-latency rewards, and feeding results back into model and agent improvement.
You will work across compute optimization, hardware engineering automation, verification, simulation, debugging. The emphasis is on scalable ML systems that make research practical, repeatable, and useful for production engineering teams.
You are a systems-minded ML engineer or researcher who understands that model quality depends on the surrounding loop: data, tools, inference, graders, reward design, logging, and iteration speed. You can build reliable infrastructure, reason about RL and inference tradeoffs, and collaborate with scientists and applied engineers to make experiments reproducible and useful.
LAYIQ is an independent job-discovery service. This listing does not imply a partnership with or endorsement by the employer. Review the original posting for current details and availability.
Employer posted:
d-Matrix · Santa Clara, Ca, Ca, United States
ServiceNow · Santa Clara, California, United States
AMD · Santa Clara, California
Applied Materials · Santa Clara,CA
NVIDIA · US, CA, Santa Clara
Amazon · New York, NY; Seattle, WA; Arlington, VA; Santa Clara, CA; Astoria, NY; Brooklyn, NY; Carle Place, NY