About the Institute of Foundation Models
We are a dedicated research lab for building, understanding, using, and risk-managing foundation models. Our mandate is to advance research, nurture the next generation of AI builders, and drive transformative contributions to a knowledge-driven economy.
As part of our team, you’ll have the opportunity to work on the core of cutting-edge foundation model training, alongside world-class researchers, data scientists, and engineers, tackling the most fundamental and impactful challenges in AI development. You will participate in the development of groundbreaking AI solutions that have the potential to reshape entire industries. Strategic and innovative problem-solving skills will be instrumental in establishing MBZUAI as a global hub for high-performance computing in deep learning, driving impactful discoveries that inspire the next generation of AI pioneers.
The Role
As the Data & Eval Operations Program Manager for our team, you will structure and implement the processes for data acquisition and eval execution for our foundation models and will develop these into comprehensive programs. You will work closely with our techincal team, including research scientists, research engineers, and software engineers, as well as with external data vendor partners as our key interface. These programs will have a massive impact on the continuous improvement of the models we develop, meaning that this is a critical role to the ultimate success of the organization. You will be expected to stand up and manage these programs autonomously, and tailor them over time to the changing needs of the team.
Key Responsibilities
Data Operations
A bachelor's degree in computer science, engineering, business, or economics. (MBA or advanced technical degree is a plus).
Professional Experience - Minimum
Salary Range
The posted salary range represents the company’s good faith estimate of the compensation for this position upon hire. The actual compensation offered may vary within this range depending on individual qualifications, including but not limited to relevant skills, experience, education, certifications, geographic location, and specific business needs.
The posted salary range represents the company’s good faith estimate of the compensation for this position upon hire. The actual compensation offered may vary within this range depending on individual qualifications, including but not limited to relevant skills, experience, education, certifications, geographic location, and specific business needs.
Benefits Include
*Comprehensive medical, dental, and vision benefits
*Bonus
*401K Plan
*Generous paid time off, sick leave and holidays
*Paid Parental Leave
*Employee Assistance Program
*Life insurance and disability
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
About the Institute of Foundation Models
We are a dedicated research lab for building, understanding, using, and risk-managing foundation models. Our mandate is to advance research, nurture the next generation of AI builders, and drive transformative contributions to a knowledge-driven economy.
As part of our team, you’ll have the opportunity to work on the core of cutting-edge foundation model training, alongside world-class researchers, data scientists, and engineers, tackling the most fundamental and impactful challenges in AI development. You will participate in the development of groundbreaking AI solutions that have the potential to reshape entire industries. Strategic and innovative problem-solving skills will be instrumental in establishing MBZUAI as a global hub for high-performance computing in deep learning, driving impactful discoveries that inspire the next generation of AI pioneers.
The Role
As the Data & Eval Operations Program Manager for our team, you will structure and implement the processes for data acquisition and eval execution for our foundation models and will develop these into comprehensive programs. You will work closely with our techincal team, including research scientists, research engineers, and software engineers, as well as with external data vendor partners as our key interface. These programs will have a massive impact on the continuous improvement of the models we develop, meaning that this is a critical role to the ultimate success of the organization. You will be expected to stand up and manage these programs autonomously, and tailor them over time to the changing needs of the team.
Key Responsibilities
Data Operations
A bachelor's degree in computer science, engineering, business, or economics. (MBA or advanced technical degree is a plus).
Professional Experience - Minimum
Salary Range
The posted salary range represents the company’s good faith estimate of the compensation for this position upon hire. The actual compensation offered may vary within this range depending on individual qualifications, including but not limited to relevant skills, experience, education, certifications, geographic location, and specific business needs.
The posted salary range represents the company’s good faith estimate of the compensation for this position upon hire. The actual compensation offered may vary within this range depending on individual qualifications, including but not limited to relevant skills, experience, education, certifications, geographic location, and specific business needs.
Benefits Include
*Comprehensive medical, dental, and vision benefits
*Bonus
*401K Plan
*Generous paid time off, sick leave and holidays
*Paid Parental Leave
*Employee Assistance Program
*Life insurance and disability
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
We are a dedicated research lab for building, understanding, using, and risk-managing foundation models. Our mandate is to advance research, nurture the next generation of AI builders, and drive transformative contributions to a knowledge-driven economy.
As part of our team, you’ll have the opportunity to work on the core of cutting-edge foundation model training, alongside world-class researchers, data scientists, and engineers, tackling the most fundamental and impactful challenges in AI development. You will participate in the development of groundbreaking AI solutions that have the potential to reshape entire industries. Strategic and innovative problem-solving skills will be instrumental in establishing MBZUAI as a global hub for high-performance computing in deep learning, driving impactful discoveries that inspire the next generation of AI pioneers.
The Role
As the Data & Eval Operations Program Manager for our team, you will structure and implement the processes for data acquisition and eval execution for our foundation models and will develop these into comprehensive programs. You will work closely with our techincal team, including research scientists, research engineers, and software engineers, as well as with external data vendor partners as our key interface. These programs will have a massive impact on the continuous improvement of the models we develop, meaning that this is a critical role to the ultimate success of the organization. You will be expected to stand up and manage these programs autonomously, and tailor them over time to the changing needs of the team.
Key Responsibilities
Data Operations
- Establish Data Ops Program: Establish a complete end-to-end
data operations program from scratch, to include program structure,
goals, and management. You will be completely responsible for
standing up and owning this program.
- Understand the Landscape: Analyze and develop an understanding
of the constantly evolving landscape of data offerings from new and
existing vendors, and assess how this fits the evolving needs of
IFM with technical leads.
- Vendor Management: Work closely with new and existing vendors
on a regular basis. You will serve as the key interface between IFM
and our data vendors.
- Budget and Performance Management: Perform budget management
and tracking, as well as performance management. You will be
responsible for the full data budget and will devise a rigorous
process to ensure this spend is highly effective, with all spend
tied back to actual data performance.
- Cross-Functional Collaboration: Work closely with
cross-functional teams, including Legal and Procurement, to ensure
new data partnerships and acquisitions are completed quickly and in
alignment with all organizational procedures.
- Establish Eval Ops Program: Establish a complete end-to-end
eval operations program from scratch, to include program structure,
goals, and management. You will be completely responsible for
standing up and owning this program.
- Eval Process: Devise a process for how our team regularly
completes, documents, organizes, and reviews our evals.
- Eval Process Changes: Work with technical leads to understand
their evolving eval needs and adjust the eval process to meet these
needs.
- Streamline Eval Service: Streamline the eval process and
internal eval service with our engineering team and with individual
eval owners to improve how evals are completed.
- Tie Evals to Data: Develop a sense of where our models might be
lagging with respect to key evals and use this to inform strategy
for the data operations program.
- Understand the Landscape: Analyze and develop an understanding
of the constantly evolving landscape of benchmarks that may be of
interest to IFM.
A bachelor's degree in computer science, engineering, business, or economics. (MBA or advanced technical degree is a plus).
Professional Experience - Minimum
- 5+ years of relevant industry experience, with at least 3 years
in program management with technical teams, including working
directly with researchers and engineers.
- Budget Management: Budget management experience, managing
multi-million-dollar budgets.
- Vendor Management: Vendor management experience, working across
multiple vendors, and experience with contracts and SOWs.
- Complete Program Ownership: Autonomy in fully managing projects
with budget, timeline, and quality components.
- Technical Fluency: You don’t need to write code or understand
nuanced research but must understand relevant technical
concepts.
- Foundation Model Experience: Experience working specifically
with LLMs, Generative AI, or ML Infrastructure.
- Data Operations Experience: Experience working with data
vendors for LLM development.
- LLM/Agentic Benchmarks Understanding: Familiarity with key
LLM/agentic benchmarks, including an understanding of how LLMs,
aagentic capabilties, and benchmarks are evolving over time.
Salary Range
The posted salary range represents the company’s good faith estimate of the compensation for this position upon hire. The actual compensation offered may vary within this range depending on individual qualifications, including but not limited to relevant skills, experience, education, certifications, geographic location, and specific business needs.
The posted salary range represents the company’s good faith estimate of the compensation for this position upon hire. The actual compensation offered may vary within this range depending on individual qualifications, including but not limited to relevant skills, experience, education, certifications, geographic location, and specific business needs.
Benefits Include
*Comprehensive medical, dental, and vision benefits
*Bonus
*401K Plan
*Generous paid time off, sick leave and holidays
*Paid Parental Leave
*Employee Assistance Program
*Life insurance and disability
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
About the Institute of Foundation Models
We are a dedicated research lab for building, understanding, using, and risk-managing foundation models. Our mandate is to advance research, nurture the next generation of AI builders, and drive transformative contributions to a knowledge-driven economy.
As part of our team, you’ll have the opportunity to work on the core of cutting-edge foundation model training, alongside world-class researchers, data scientists, and engineers, tackling the most fundamental and impactful challenges in AI development. You will participate in the development of groundbreaking AI solutions that have the potential to reshape entire industries. Strategic and innovative problem-solving skills will be instrumental in establishing MBZUAI as a global hub for high-performance computing in deep learning, driving impactful discoveries that inspire the next generation of AI pioneers.
The Role
As the Data & Eval Operations Program Manager for our team, you will structure and implement the processes for data acquisition and eval execution for our foundation models and will develop these into comprehensive programs. You will work closely with our techincal team, including research scientists, research engineers, and software engineers, as well as with external data vendor partners as our key interface. These programs will have a massive impact on the continuous improvement of the models we develop, meaning that this is a critical role to the ultimate success of the organization. You will be expected to stand up and manage these programs autonomously, and tailor them over time to the changing needs of the team.
Key Responsibilities
Data Operations
- Establish Data Ops Program: Establish a complete end-to-end
data operations program from scratch, to include program structure,
goals, and management. You will be completely responsible for
standing up and owning this program.
- Understand the Landscape: Analyze and develop an understanding
of the constantly evolving landscape of data offerings from new and
existing vendors, and assess how this fits the evolving needs of
IFM with technical leads.
- Vendor Management: Work closely with new and existing vendors
on a regular basis. You will serve as the key interface between IFM
and our data vendors.
- Budget and Performance Management: Perform budget management
and tracking, as well as performance management. You will be
responsible for the full data budget and will devise a rigorous
process to ensure this spend is highly effective, with all spend
tied back to actual data performance.
- Cross-Functional Collaboration: Work closely with
cross-functional teams, including Legal and Procurement, to ensure
new data partnerships and acquisitions are completed quickly and in
alignment with all organizational procedures.
- Establish Eval Ops Program: Establish a complete end-to-end
eval operations program from scratch, to include program structure,
goals, and management. You will be completely responsible for
standing up and owning this program.
- Eval Process: Devise a process for how our team regularly
completes, documents, organizes, and reviews our evals.
- Eval Process Changes: Work with technical leads to understand
their evolving eval needs and adjust the eval process to meet these
needs.
- Streamline Eval Service: Streamline the eval process and
internal eval service with our engineering team and with individual
eval owners to improve how evals are completed.
- Tie Evals to Data: Develop a sense of where our models might be
lagging with respect to key evals and use this to inform strategy
for the data operations program.
- Understand the Landscape: Analyze and develop an understanding
of the constantly evolving landscape of benchmarks that may be of
interest to IFM.
A bachelor's degree in computer science, engineering, business, or economics. (MBA or advanced technical degree is a plus).
Professional Experience - Minimum
- 5+ years of relevant industry experience, with at least 3 years
in program management with technical teams, including working
directly with researchers and engineers.
- Budget Management: Budget management experience, managing
multi-million-dollar budgets.
- Vendor Management: Vendor management experience, working across
multiple vendors, and experience with contracts and SOWs.
- Complete Program Ownership: Autonomy in fully managing projects
with budget, timeline, and quality components.
- Technical Fluency: You don’t need to write code or understand
nuanced research but must understand relevant technical
concepts.
- Foundation Model Experience: Experience working specifically
with LLMs, Generative AI, or ML Infrastructure.
- Data Operations Experience: Experience working with data
vendors for LLM development.
- LLM/Agentic Benchmarks Understanding: Familiarity with key
LLM/agentic benchmarks, including an understanding of how LLMs,
aagentic capabilties, and benchmarks are evolving over time.
Salary Range
The posted salary range represents the company’s good faith estimate of the compensation for this position upon hire. The actual compensation offered may vary within this range depending on individual qualifications, including but not limited to relevant skills, experience, education, certifications, geographic location, and specific business needs.
The posted salary range represents the company’s good faith estimate of the compensation for this position upon hire. The actual compensation offered may vary within this range depending on individual qualifications, including but not limited to relevant skills, experience, education, certifications, geographic location, and specific business needs.
Benefits Include
*Comprehensive medical, dental, and vision benefits
*Bonus
*401K Plan
*Generous paid time off, sick leave and holidays
*Paid Parental Leave
*Employee Assistance Program
*Life insurance and disability
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
