Technology

Senior Research Engineer, Machine Learning

Xoriant CorporationSunnyvale, CA🇺🇸United States

Why this role stands out

As a Senior Research Engineer at Xoriant, you will drive groundbreaking innovations in AI and reinforcement learning while collaborating with top-tier academic and industry researchers to shape the future of computing and chip design. This role is perfect for a highly skilled researcher with a PhD who is eager to publish impactful papers, secure patents, and advance their career within a culture that prioritizes intellectual depth and cutting-edge experimentation. Apply today to leverage your expertise in a role that offers unparalleled growth and the chance to contribute to the next generation of machine learning breakthroughs.

Quick overview

SeniorityMid Senior

Work modeOn Site

LocationSunnyvale, CA, United States

Machine Learning

Job description

Job Requirements
Job Title: Senior Research Engineer, Machine Learning
Location: San Jose, CA (Onsite)
Duration: 6 months to start (extendable up to 18 months)
Responsibilities
Investigate machine and statistical learning systems and algorithms, including reinforcement learning, in various applications with greater focus on areas related to information communication, storage and computing) technologies
Support new technology and research initiatives and implement leading-edge proofs of concept following best practices
Lead and contribute to papers and patents as primarily research deliverables
Be a "T": i.e., with broad knowledge and interest in a large variety of research domains while at the same time depth in at least one particular domain.

Keep pace with advances in one or more broad areas (e.g., LLMs, AI for science, RL for design exploration, etc.), while focusing more deeply on critical research questions. Collaborate with in-house and academic researchers focused on applications of reinforcement learning and other machine learning technologies in various fields, including computing, micro-architecture, chip, device and materials design. Collaborate with management to communicate complex ideas in various internal and external forums.

Test ideas and share results effectively, both orally and in writing
Qualifications
PhD in one of electrical engineering, computer science, physics or mathematics with a strong background in statistics
Existing publication record in ML/SL/AI conferences or journals. Proven solid background in research, software and system engineering
Good understanding of tools of trade and implementation of machine learning systems