Application Deadline: August 20th, 2023, 11:59 PM, US/Eastern (EST) time.
Q&A Webinar: August 1st, 2023, 12:00 PM, UK (GMT) time. Sign up here and/or submit anonymous questions here.
If you have any leads on someone who might be a good fit, or have suggestions for platforms where we can reach the right audience, please contact us at careers@epochai.org.
About the Position
Epoch is seeking a specialist in computing hardware to lead investigations into HPC computing for AI workloads. As a Machine Learning Hardware Researcher at Epoch, you will collaborate with our team on novel research related to the cost of compute, trends in compute usage and performance, and parallelism techniques and utilization. This work will be crucial for improving our understanding of the future of AI and its impacts on society.
Your day-to-day activities will be researching the latest developments in the field, discussing their implications with our team and international experts, and writing reports that inform our research and policy-making all over the world. Over the course of a year, we anticipate our ML hardware Researcher will have produced 3-4 leading reports on ML Hardware.
An ideal candidate for this role would have deep knowledge of how Machine Learning training clusters are built and managed, intellectual curiosity, and be skilled at communicating technical topics clearly. Industry experience or a PhD on a related topic are desirable, though not necessary.
This role is fully remote and we are able to hire in many countries. You can reach out to careers@epochai.org if you want to make sure we can hire in your country before applying. While we welcome applicants from all time zones, you may be expected to attend meetings during working hours between UTC-8 and UTC+3 time zones, where most of our staff are based. This role is open only to full-time candidates who are available to work at 40 hours per week.
The successful candidate will report directly to director Jaime Sevilla, and work closely with associate director Tamay Besiroglu on models of the future of AI, and with our data scientist Robi Rahman on efforts to gather data on ML hardware.
Key Responsibilities
As a ML Hardware Researcher, your main responsibilities will entail:
Producing reports and papers related to the design, production and usage of hardware in Machine Learning.
Staying abreast of industry trends and emerging technologies in ML hardware
Helping steer Epoch’s research program with ideas on hardware-related matters.
Being the go-to expert for staff and stakeholders’ queries on ML hardware.
What We Are Looking For
Skills and Competencies:
Familiarity with modern Machine Learning hardware, HPC set-ups and their management.
Clear communication skills on technical topics.
Intellectual curiosity and open-mindedness
Knowledge and Experience:
Experience working with hardware used in AI and machine learning.
Experience writing analysis reports or scientific papers related to hardware
(Desired but not essential)
Experience in distributed training of large models
A network of industry and academia experts on Machine Learning hardware.
What We Offer
Compensation:
Annual salary between the following ranges for a full-time position:
$70,000 - $80,000 USD pre-tax for people with less than two years of relevant research or industry experience. $80,000 − 100,000 USD for people with more than two years of relevant experience.
£57,900 - £66,200 GBP pre-tax (or £66,200 - £86,600 for people with more than two years of relevant experience).
€66,500 - €76,000 EUR pre-tax (or €76,000 - €95,000 for people with more than two years of relevant experience).
The exact salary will be based on the candidate’s prior relevant experience.
Compensation is not restricted to the currencies listed above. Payments may be made in different currencies and payment intervals depending on the location of applicants and legal requirements.
Other Benefits:
Flexible work hours and location
Comprehensive global benefits package (while they vary by country, we make every effort to ensure that our benefits package is equitable and high-quality for all staff)
Generous paid time off leave, including, but not limited to:
Unlimited vacation with a minimum of 30 days off per year
Unlimited (within reason) personal and sick leave
Parental leave—up to 6 months of parental leave during the first 2 years after a child’s birth or adoption for parents of all genders.
A caring team that values respectful work relations and a healthy work-life balance
Opportunities to grow/advance your career and engage in professional development
Low administrative bureaucracy
We don’t provide snacks, but we could mail you a box of Oreos if you want!
Epoch is an independent research organization that is producing world-class research on trends in Machine Learning and the economic consequences of AI.
Our work informs research and policy-making at Anthropic, the Centre for the Governance of AI, the Centre for Data Ethics and Innovation, Open Philanthropy, the Center for Security and Emerging Technology and elsewhere. Epoch’s research has been cited in media publications such as the MIT Technology Review and The Economist, and underpins Our World In Data’s AI visualizations.
Extension requests: We will try to accommodate extension requests that are made before the deadline and are for up to five (5) days.
Language: Please submit all of your application materials in English and note that we require professional level English proficiency.
Travel: Travel is not an essential requirement for this position. However, a majority of our staff travel a few times per year for conferences, retreats, and other work-related purposes. In most cases, travel is not mandatory, but encouraged.
Accessibility: We’re committed to running an inclusive and accessible application process. We warmly invite you to reach out to careers@epochai.org with any questions or accessibility requests, such as chat box use during interviews.
Inclusivity and fairness: Epoch is committed to building an inclusive, equitable, and supportive community for you to thrive and do your best work. We’re committed to finding the best people for our team, so please don’t hesitate to apply for a role regardless of your age, gender identity/expression, political identity, personal preferences, physical abilities, veteran status, neurodiversity or any other background. We provide reasonable accommodations and benefits, including, for example, flexible work schedules and locations, mental health coverage in medical benefits (as available), and budgets to purchase assistive technology or engage in job coaching.
Epoch is a project fiscally sponsored by Rethink Priorities.
Epoch is hiring an ML Hardware Researcher
Link post
Apply here.
Application Deadline: August 20th, 2023, 11:59 PM, US/Eastern (EST) time.
Q&A Webinar: August 1st, 2023, 12:00 PM, UK (GMT) time. Sign up here and/or submit anonymous questions here.
If you have any leads on someone who might be a good fit, or have suggestions for platforms where we can reach the right audience, please contact us at careers@epochai.org.
About the Position
Epoch is seeking a specialist in computing hardware to lead investigations into HPC computing for AI workloads. As a Machine Learning Hardware Researcher at Epoch, you will collaborate with our team on novel research related to the cost of compute, trends in compute usage and performance, and parallelism techniques and utilization. This work will be crucial for improving our understanding of the future of AI and its impacts on society.
Your day-to-day activities will be researching the latest developments in the field, discussing their implications with our team and international experts, and writing reports that inform our research and policy-making all over the world. Over the course of a year, we anticipate our ML hardware Researcher will have produced 3-4 leading reports on ML Hardware.
An ideal candidate for this role would have deep knowledge of how Machine Learning training clusters are built and managed, intellectual curiosity, and be skilled at communicating technical topics clearly. Industry experience or a PhD on a related topic are desirable, though not necessary.
This role is fully remote and we are able to hire in many countries. You can reach out to careers@epochai.org if you want to make sure we can hire in your country before applying. While we welcome applicants from all time zones, you may be expected to attend meetings during working hours between UTC-8 and UTC+3 time zones, where most of our staff are based. This role is open only to full-time candidates who are available to work at 40 hours per week.
The successful candidate will report directly to director Jaime Sevilla, and work closely with associate director Tamay Besiroglu on models of the future of AI, and with our data scientist Robi Rahman on efforts to gather data on ML hardware.
Key Responsibilities
As a ML Hardware Researcher, your main responsibilities will entail:
Producing reports and papers related to the design, production and usage of hardware in Machine Learning.
Staying abreast of industry trends and emerging technologies in ML hardware
Helping steer Epoch’s research program with ideas on hardware-related matters.
Being the go-to expert for staff and stakeholders’ queries on ML hardware.
What We Are Looking For
Skills and Competencies:
Familiarity with modern Machine Learning hardware, HPC set-ups and their management.
Clear communication skills on technical topics.
Intellectual curiosity and open-mindedness
Knowledge and Experience:
Experience working with hardware used in AI and machine learning.
Experience writing analysis reports or scientific papers related to hardware
(Desired but not essential)
Experience in distributed training of large models
A network of industry and academia experts on Machine Learning hardware.
What We Offer
Compensation:
Annual salary between the following ranges for a full-time position:
$70,000 - $80,000 USD pre-tax for people with less than two years of relevant research or industry experience. $80,000 − 100,000 USD for people with more than two years of relevant experience.
£57,900 - £66,200 GBP pre-tax (or £66,200 - £86,600 for people with more than two years of relevant experience).
€66,500 - €76,000 EUR pre-tax (or €76,000 - €95,000 for people with more than two years of relevant experience).
The exact salary will be based on the candidate’s prior relevant experience.
Compensation is not restricted to the currencies listed above. Payments may be made in different currencies and payment intervals depending on the location of applicants and legal requirements.
Other Benefits:
Flexible work hours and location
Comprehensive global benefits package (while they vary by country, we make every effort to ensure that our benefits package is equitable and high-quality for all staff)
Generous paid time off leave, including, but not limited to:
Unlimited vacation with a minimum of 30 days off per year
Unlimited (within reason) personal and sick leave
Parental leave—up to 6 months of parental leave during the first 2 years after a child’s birth or adoption for parents of all genders.
A caring team that values respectful work relations and a healthy work-life balance
Opportunities to grow/advance your career and engage in professional development
Low administrative bureaucracy
We don’t provide snacks, but we could mail you a box of Oreos if you want!
For more details about our benefits, please see our Benefit Package for Permanent Roles
About Epoch
Epoch is an independent research organization that is producing world-class research on trends in Machine Learning and the economic consequences of AI.
Our work informs research and policy-making at Anthropic, the Centre for the Governance of AI, the Centre for Data Ethics and Innovation, Open Philanthropy, the Center for Security and Emerging Technology and elsewhere. Epoch’s research has been cited in media publications such as the MIT Technology Review and The Economist, and underpins Our World In Data’s AI visualizations.
You can learn more about our work in this summary dashboard or our blog. Please email careers@epochai.org if you have any questions about this role.
Additional Information
Extension requests: We will try to accommodate extension requests that are made before the deadline and are for up to five (5) days.
Language: Please submit all of your application materials in English and note that we require professional level English proficiency.
Travel: Travel is not an essential requirement for this position. However, a majority of our staff travel a few times per year for conferences, retreats, and other work-related purposes. In most cases, travel is not mandatory, but encouraged.
Accessibility: We’re committed to running an inclusive and accessible application process. We warmly invite you to reach out to careers@epochai.org with any questions or accessibility requests, such as chat box use during interviews.
Inclusivity and fairness: Epoch is committed to building an inclusive, equitable, and supportive community for you to thrive and do your best work. We’re committed to finding the best people for our team, so please don’t hesitate to apply for a role regardless of your age, gender identity/expression, political identity, personal preferences, physical abilities, veteran status, neurodiversity or any other background. We provide reasonable accommodations and benefits, including, for example, flexible work schedules and locations, mental health coverage in medical benefits (as available), and budgets to purchase assistive technology or engage in job coaching.
Epoch is a project fiscally sponsored by Rethink Priorities.
Apply here!