Work With Us

We seek to fill the following positions:

If none of these positions are the right fit for you but you would still like to express an interest in working with us, please fill out this form.

General enquiries about jobs at CHAI can be sent to chai-info@berkeley.edu.

Assistant Director

Start date: Flexible
Compensation: $61,600 - $93,900; however, starting salary will be commensurate with experience.
Apply: On the EECS Website type 27224 in the keyword search up on top

Applications Due By: The first round of applications will be reviewed on 7/17/19

The mission of the Center for Human Compatible AI is to re-orient the field of artificial intelligence toward systems that are provably beneficial to humans. This position is for an individual with a long-term career ambition to sustain and advance the Center’s activities and influence for this purpose. Our hope is that the assistant director, after sufficient onboarding to understand the plans and perspectives of the Center’s leadership, will be able to exercise a high degree of autonomy and decision-making in service of the Center’s goals.

(Hiring for this position will not be taken lightly; we are seeking candidates with a demonstrated track-record of managerial competence, as well as a level of interest and fluency in the Center’s research. We may choose not to fill the position if a suitable candidate is not found.)

The job will involve managing the full general operations of our Center. Administrative services will include activities in finance and human resources and may also include IT, facilities, or student services, planning and execution of event logistics, and engaging in some (but not all) communications on behalf of the Center. General management includes long and short range strategic planning in service of the Center’s mission and directing activities through staff counterparts in the Center and UCB.

Responsibilities

50% Plans and manages logistics and communications for ongoing events and activities selected and designed to increase the Center’s opportunities for research collaboration and impact toward its mission, such as regular seminars and meetings within the university, as well as workshops and conference events. Administrative operations include budgetary financial management, IT, event advertising content, facilities, student services, assisting with drafting contracts and grants, coordinating. Participates in a variety of human resources activities including working with the HR team to initiate approvals for new hires and visitors training, classification and ensuring the completion of forms and documents related to HR and Payroll for unit/department.

20% Plans and investigates opportunities independently for the Center’s development toward its mission, including opportunities for research collaboration, public outreach, and generally expanding the Center’s operations. Involves performing studies for resource plans, including approaches, trends, sources and uses, to produce opportunities for recommendation to the Center’s PIs.

10% Assists in the design and drafting of organizational website content; drafts newsletters and correspondence to organizational constituents.

10% Manages staff and contractors to assist in the research impact of the Center’s junior researchers toward its mission, including postdocs and selected students.

5% Gathers, analyzes, prepares and summarizes financial and HR reports.

5% Serves on committees, representing the Center.

Required Qualifications

  • Basic understanding of the Center’s research and research strategy;
  • Proven track record of planning and organizing events with an intellectual purpose.
  • Thorough knowledge of financial analysis and reporting techniques, human resources policies and procedures for staff and academic employees.
  • Knowledge of a variety of administrative operations activities such as events planning, basic fundraising processes, risk management planning, website design, accounting and payroll, and contracts and grants regulations and guidelines.
  • Interpersonal communication skills to include verbal and written, active listening, critical thinking, persuasiveness, advising and counseling skills.
  • Strong skills in short term planning, analysis and problem-solving and customer service.

Preferred Qualifications

  • Bachelors degree in related area and/or equivalent experience/training.
  • Thorough knowledge of University rules and regulations, processes, protocols and procedures for budget, account and fund management, personnel management.
  • Knowledge of common University-specific computer application programs.

Postdoc specializing in AI safety and control

Start date: Flexible
Compensation: Negotiated
Apply: Via this form

If you are a graduating PhD student, taking a postdoc at CHAI before moving into industry or a faculty position can help you to develop an expertise in the field of AI safety and control, positioning you to become at leader in this developing field.

Successful candidates will work with the CHAI Director, Stuart Russell, or with one of the Berkeley co-Principal Investigators, Pieter Abbeel, Anca Dragan, and Tom Griffiths. There will also be opportunities to collaborate with CHAI investigators at Cornell (Bart Selman, Joe Halpern) and Michigan (Michael Wellman, Satinder Singh), as well as with groups at Cambridge, Oxford, and Imperial College through the Leverhulme Centre for the Future of Intelligence.

Developing provably beneficial AI systems will require a significant reorientation of the general thrust of AI research, which up to now has been largely concerned with designing systems that optimize exogenously specified objectives. Given the broad and open-ended mandate of the Center, the post holder will have considerable freedom to pursue novel research projects within CHAI’s areas of interest, either individually or working with PhD students and undergraduate researchers.

Early examples of CHAI’s work include a recent paper on cooperative inverse reinforcement learning (to appear in NIPS 16). Related work includes some results from FHI’s collaboration with Google DeepMind and the descriptions of research problems by Google Brain and by the Machine Intelligence Research Institute

Candidates need not have done previous work on the AI control problem but must have (or be about to obtain) a PhD in a relevant technical discipline (computer science, statistics, mathematics, or theoretical economics) and a record of high-quality published research. A solid understanding of current methods in AI and statistical learning would be an advantage.

Research Collaborators

Our core research spans computer science, mathematics, control theory, robotics, statistics, formal logic, economics (including game theory), cognitive psychology, or neuroscience. We may also be interested in moral philosophy, sociology, political science, law, and other fields dealing with formal and semiformal theories of human value systems.

If you are interested in collaborating on research that aligns with our mission, please email chai-info@berkeley.edu. Please include information about yourself and your organization, as well as details of how you would like to collaborate, and why CHAI would be a good fit.

If you are currently at UC Berkeley, you are welcome to attend our weekly research seminars. Contact chai-info@berkeley.edu for details.

NOTE: Undergraduates interested in graduate study at Berkeley in this area should apply directly to the appropriate UC Berkeley graduate program. You may mention your interest in CHAI on your application, but we are unable to review or give feedback on your application. We will be happy to discuss research and/or supervision once you have been admitted.

Information about Research Internships (applications reopening in Fall 2019)

Start date: Flexible
Compensation: A stipend to cover living and travel expenses will be offered to those who are eligible (e.g. students). Others will be referred to BERI to apply for funding
Apply: Applications will reopen in Fall 2019
Applications due by: Our internship recruitment for 2019 has closed, but we will open applications for 2020 in Fall 2019. To ensure you are notified when they reopen, join our mailing list here.

Our internships require a strong background in mathematics and computer science. Existing research experience in machine learning is strongly advantageous but not required. Although primarily aimed at undergraduates, we are also interested in people who can demonstrate technical excellence and wish to transition to provably beneficial AI research. Examples include professional ML engineers, or PhD students/researchers in an adjacent numerical field. Experienced researchers or PhD students in a directly related field should enquire about collaborating.

Internships are typically 8 - 12 weeks long but we may also offer more flexible informal placements on a case by case basis. We welcome applications from all countries.

Last year's interns developed essential skills and knowledge preparing them for graduate school and industry opportunities. Take a look at what they had to say:

For more information, please e-mail chai-info@berkeley.edu.

Research proposal advice for internship applications

The hardest part of research is often asking the right questions. For this reason, we request a research proposal as part of the selection process. We will use this primarily to assess applicants’ motivation and interest in the field, and it is a great opportunity for you to practice this essential research skill

This is your opportunity to demonstrate knowledge of related work in the field and the ability to formulate novel research questions; please include as much technical detail as possible. Although we will take into account the research interests expressed in your proposal when matching you with potential advisors and projects, in most cases interns will work on a project closely associated with their advisor’s research, rather than the project described in your proposal.

We are aware that for many applicants this will be the first research proposal they have written, so we’ve put together a few resources to help you get started. We’d recommend everyone read Concrete Problems in AI Safety, which surveys several promising research directions. You can get more ideas by following the citations in this paper, by checking out a list of topics from the Open Philanthropy Project or reading CHAI’s very own publications.

When an idea from one of these sources catches your interest, spend some time reading up on prior work in the area, and brainstorm a few ideas for how to extend it. Try and be original: we’d rather read a half-baked idea that is novel, than an eloquently explained idea that is derivative. Finally, relax: we’re not expecting fully fleshed out proposals, especially from applicants who are new to research.