Among computer and information research scientists, AI is already used for a large share of the tasks. Measured exposure for computer and information research scientists: 34% (high).

Share of this job’s tasks that AI is already used for at work, from real usage. It is not a forecast of job loss, and a low number means no use seen yet. Source: Anthropic Economic Index.

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Machine learning

About the job

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