Job ID: 207409

Assistant Researcher - Machine Learning and AI

University of California Berkeley

  • Mar. 17, 2023
  • Assistant Researcher - Machine Learning and AI
  • Electrical Engineering
  • University of California Berkeley
    Berkeley, CA
  • 04/17/2023
  • Available immediately
  • Research Scientist/Associate
  • Electrical and/or Electronics

Assistant Researcher - Machine Learning and AI - Electrical Engineering

Position overview
Salary range: The posted UC academic salary scales ( set the minimum pay determined by rank and/or step at appointment. See the following table for the salary scale for this position A reasonable estimate for this position is $110,900-$139,300 annually.

Percent time: 100%

Position duration: One year with the possibility of extension based on programmatic need, funding availability and satisfactory performance.

Application Window
Open date: March 16, 2023

Next review date: Friday, Mar 31, 2023 at 11:59pm (Pacific Time)
Apply by this date to ensure full consideration by the committee.

Final date: Monday, Apr 17, 2023 at 11:59pm (Pacific Time)
Applications will continue to be accepted until this date, but those received after the review date will only be considered if the position has not yet been filled.

Position description

Prof. Keutzer's research group focuses on full-stack Deep Learning for a variety of applications. Full stack implies the ability to work from applications constraints, through Neural Net design and optimization, the development of library support for novel operators, efficient mapping onto hardware, and, occasionally, full hardware/software co-design of Neural Net accelerators. Applications of interest include Natural Language Processing, Recommendation Systems, 2D and 3D Computer Vision, Speech, and Computational Finance.

The candidate will need to take on several responsibilities as follows:

  • Perform research in Machine Learning and AI focused on full stack machine learning for Speech Recognition and Natural Language Processing. This entails research in Neural Network architecture design, computationally efficient methods for training, algorithmically robust training algorithms, efficient inference, hardware co-design, and deployment on hardware. As the project progresses it is expected that the appointee will secure independent research funding and will develop an independent research program.
  • It is expected for the researcher to be an expert in all of these areas to be able to contribute to full stack research that combines these methods
  • Actively work on developing systematic approaches to tackle the full stack deep learning which requires strong mathematical background in optimization and loss landscape analysis including familiarity with high order (second order) methods
  • Work closely with undergraduate, Masters, and PhD students both in terms of helping them get up to speed with the latest state-of-the-art and coding, as well as collaborating on the ML Systems research topics stated above
  • Actively participate in writing grants and proposals and engage with research sponsors
  • Publish results of research in peer-reviewed publications

Labor Contract:

Basic qualifications (required at time of application)
PhD or equivalent international degree

Additional qualifications (required at time of start)
Minimum of three years postdoctoral experience and a publication record.

Preferred qualifications

  • PhD degree in computer science or related fields
  • Five years of postdoctoral experience is preferred
  • Proven publication track in Machine Learning Systems (MLSys, SuperComputing, or similar top conferences) and AI field (ICML, NeurIPS, ICLR, or similar top conferences)
  • Publication record in areas of Natural Language Processing and Speech Recognition with a focus on efficient deployment and training
  • Track record of mentoring Masters/PhD students in research related to AI Systems
  • Publications in optimization with second order methods for machine learning applications
  • Publication in analyzing loss landscape with second order methods
  • Strong background in Mathematics and optimization including Higher Order Methods

Application Requirements

Document requirements

  • Curriculum Vitae - Your most recently updated C.V.
  • Cover Letter (Optional)
  • Statement of Research

Reference requirements

  • 3 required (contact information only)

Apply link:

Help contact:

Campus Information

Diversity, equity, inclusion, and belonging are core values at UC Berkeley. Our excellence can only be fully realized by faculty, students, and academic and non-academic staff who share our commitment to these values. Successful candidates for our academic positions will demonstrate evidence of a commitment to advancing equity, inclusion, and belonging.

The University of California, Berkeley is an Equal Opportunity/Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, age, or protected veteran status. For the complete University of California nondiscrimination and affirmative action policy see:

In searches when letters of reference are required all letters will be treated as confidential per University of California policy and California state law. Please refer potential referees, including when letters are provided via a third party (i.e., dossier service or career center), to the UC Berkeley statement of confidentiality prior to submitting their letter.

As a condition of employment, you will be required to comply with the University of California Policy on Vaccination Programs - With Updated Interim Amendments. All Covered Individuals under the policy must provide proof of receiving the COVID-19 Vaccine Primary Series or, if applicable, submit a request for Exception (based on Medical Exemption, Disability, Religious Objection, and/or Deferral based on pregnancy or recent COVID-19 diagnosis and/or treatment) no later than the applicable deadline. All Covered Individuals must also provide proof of receiving the most recent CDC-recommended COVID-19 booster or properly decline such booster no later than the applicable deadline. New University of California employees should refer to Exhibit 2, Section II.C. of the SARS-CoV-2 (COVID-19) Vaccination Program Attachment for applicable deadlines. All Covered Individuals must also provide proof of being Up-To-Date on seasonal influenza vaccination or properly decline such vaccination no later than the applicable deadline. Please refer to the Seasonal Influenza Vaccination Program Attachment. (Capitalized terms in this paragraph are defined in the policy.) Federal, state, or local public health directives may impose additional requirements.

Positions that are represented by a collective bargaining unit or agent have particular contracts. For more information, please refer to the relevant contract: Lecturer (IX) contract, Postdoctoral (PX) contract, Academic Researcher (RA) contract, and Librarian (LX ) contract. Questions about represented positions can be directed to the hiring unit.

Job location
Berkeley, California

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