ACCELERATE ENG TALENT
Grow your AI skills collaborating with industry experts
Accelerate Eng Talent is an innovative program that provides a fast-track for incoming Research Scientists to become AI specialists. Candidates applying to Research Scientist Machine Learning or Systems and Infrastructure roles will be placed on critical generative AI or AI Infrastructure teams, where they will contribute to pivotal projects while honing specialized AI skills.
ACCELERATE ENG TALENT
Become an AI specialist while solving real-world challenges
Are you a graduating PhD candidate interested in launching your career in AI? At Meta, we’re pushing the boundaries of AI through research, infrastructure and product innovation. The Accelerate Eng Talent program provides a path to specialize in niche AI domains. Participants will work on challenging engineering problems, use state-of-the-art tools to apply AI at scale, and build a network of peers and mentors.
How the program works
The Accelerate Eng Talent program assesses AI skills, experience and interest at the time of interview. We then pair PhD candidates pursuing Research Scientist roles at Meta with high-priority AI-focused teams based on skills and interest alignment. Participants will spend 12 months in the program, honing their skills and developing deep subject matter expertise and AI specialization through complex projects on our roadmaps. Upon successful completion of the program, participants will be recognized as an AI specialist at Meta.
Who can apply
The Accelerate Eng Talent program is open to graduating PhD candidates pursuing Research Scientist Roles at Meta.
In the AI Infrastructure space, we’re looking
for domain skills like computer vision, distributed systems, compilers, optimization, and large language model fine-tuning.
In the generative AI space, we’re looking for domain skills like multimodal generation and understanding, pre/post training language modeling and trust/safety.
How to apply
Start by applying to a Research Scientist, Machine Learning (PhD) or Systems and Infrastructure (PhD) role and letting your recruiter know you would like to be considered for the Accelerate Eng Talent program. Candidates must successfully pass the interview process before being considered for the program. This process includes an initial technical interview, followed by a comprehensive interview loop consisting of four interviews: two coding, one systems design, and one behavioral. Once hired, candidates will be matched with a Generative AI or AI Infrastructure team.
Push the limits of what’s possible in AI
Get started by applying to a Research Scientist, Machine Learning (PhD) role. If selected for the Accelerate Eng Talent program, you'll have the opportunity to push the boundaries of AI through research and application.
Develop the back-end infrastructure for the future of AI
Get started by applying to a Research Scientist, Systems and Infrastructure (PhD) role. If selected for the Accelerate Eng Talent program, you'll have the opportunity to design, build, and scale the software powering modern AI systems.
What you’ll get from the program
Ready to grow your skills and develop your career? At Meta, we believe in upleveling our talent with resources and hands-on learning opportunities. By joining the Accelerate Eng Talent program, you’ll get the chance to develop specialized AI skills while working hand-in-hand with some of the industry’s leading experts. Once completed, you’ll transition permanently to specialist teams in generative AI or AI infrastructure.
IN THEIR OWN WORDS
"Meta is engineering-led and mission-driven. We’re encouraged to pursue interesting work and iterate quickly to test our ideas, and we're given resources and support to push the limits of technology."
— Fei W., Software Engineering Manager
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Meta is proud to be an Equal Employment Opportunity employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, reproductive health decisions, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, genetic information, political views or activity, or other applicable legally protected characteristics. You may view our Equal Employment Opportunity notice here.
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