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

Requirements

Must-haves

Job Requirements
Job Title: Senior Research Engineer, Machine Learning
Location: San Jose, CA (Onsite)
Duration: 6 months to start (extendable up to 18 months)
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 management to communicate complex ideas in various internal and external forums.
Test ideas and share results effectively, both orally and in writing
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

Nice-to-haves

None flagged.

Application prep

Use the role’s language and application details while tailoring your materials.

Keywords to mirror

machine learningaiml

Platform: phenom
Effort: medium