Meta Research Scientist Internship 2026 for PhD Students

Meta Research Scientist Internship (PhD) 2026 | Apply Now

Meta is inviting applications for the Research Scientist Intern, AI & Compute Foundation - MTIA Software (PhD) position based in Toronto, ON, Canada. This 12 to 16-week internship provides a unique opportunity to explore, develop, and help productize high-performance software and hardware technologies for AI at datacenter scale, directly impacting Meta's key AI services.

Particulars & Details

About the Team

The MTIA (Meta Training & Inference Accelerator) Software team is part of the AI & Compute Foundation organization. The team's mission is to explore, develop and help productize high-performance software and hardware technologies for AI at datacenter scale. By investing significantly into optimizing AI production models on existing systems, the team has successfully delivered Total Cost of Ownership (TCO) wins for all key AI services at Meta.

Duties and Responsibilities

• Explore, develop, and help productize high-performance software and hardware technologies for AI at datacenter scale.
• Co-optimize both software (e.g., algorithms and numerics) and hardware (e.g., platform and network) to achieve balanced system designs.
• Analyze and understand performance bottlenecks on existing systems to develop new architectures.
• Optimize AI production models on existing systems to improve efficiency and TCO.
• Develop AI frameworks to accelerate Meta's Deep Learning (DL) and Machine Learning (ML) workloads on the specialized MTIA AI accelerator hardware.
• Develop kernel libraries exploiting various hardware architectural features to achieve high performance for inference and training workloads.

Eligibility Criteria

• Must be currently enrolled in a PhD degree program.
• Field of Study: Computer Science, Artificial Intelligence, Machine Learning, Computer Engineering, or a related highly technical field.

Qualifications, Skills and Competencies

• Domain Knowledge: Deep understanding of Artificial Intelligence, Machine Learning, or Deep Learning frameworks.
• Technical Skills: Experience in software and hardware co-optimization, algorithm development, and numerics.
• Systems Architecture: Knowledge of platform and network hardware architecture, and experience analyzing performance bottlenecks.
• Programming: Strong programming skills necessary for developing AI frameworks and kernel libraries for hardware accelerators.

Vacancy Details

Internship Conditions

• Duration & Timing: Our team at Meta offers twelve (12) to sixteen (16) weeks long internships and we have various start dates throughout the year.
• Equal Opportunity: Meta is proud to be an Equal Employment Opportunity and Affirmative Action employer, committed to a diverse and inclusive workplace.

Application Fee

Meta does not charge any application, processing, or training fees at any stage of the recruitment process.

Important Dates

• Application Deadline: Positions are filled on an ongoing basis with various start dates available throughout the year. Early application is encouraged.

How to Apply

• Visit the official Meta Careers portal using the link provided below.
• Review the full job description and ensure you meet the PhD enrollment and technical qualifications.
• Click on the "Apply Now" button.
• Create a candidate profile, upload your resume/CV, and submit your application online.

Important Links

• Apply Online: Click Here to Apply
• Meta Careers: metacareers.com

FAQs

• Where is the internship located? The internship is based in Toronto, ON, Canada.
• Who is eligible to apply? Students currently pursuing a PhD in Artificial Intelligence, Computer Science, or a related field.
• How long is the internship? The internship lasts between twelve (12) to sixteen (16) weeks.
• When does the internship start? Meta offers various start dates throughout the year.

Disclaimer

This opportunity is shared for informational purposes only. We at 99jobs.org are not the organizing or recruiting institution. We do not accept or process applications and cannot influence selection decisions. Applicants must apply directly through the official organization website. Please verify all details from the official source before applying.

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