Engineer/Scientist
large-scale language model training and inference.
This role focuses on designing and maintaining compute foundations for large-scale language model training, enhancing ML kernels and distributed compute stacks.
Last checked on June 27, 2026. We may earn a commission when you click through.
This role is tech-savvy individuals looking to work at the forefront of AI development. However, it's not for those unprepared for the complexities of high-performance computing.
Engineer/Scientist
large-scale language model training and inference.
Updated 8 days agoYou'll be redirected to metaintro.com
This role is tech-savvy individuals looking to work at the forefront of AI development. However, it's not for those unprepared for the complexities of high-performance computing.
About this role
This role focuses on designing and maintaining compute foundations for large-scale language model training, enhancing ML kernels and distributed compute stacks.
About the Company
The company specializes in large-scale language model training and inference solutions.
Key Highlights
- ✓ Develop high-performance ML kernels
- ✓ Optimize low-precision arithmetic
- ✓ Improve distributed compute infrastructure
- ✓ Full-time position in San Mateo
💡 Honest Take: This position is ideal for candidates with a strong background in machine learning and distributed systems.
Pros
- ✓ Innovative work in AI and ML
- ✓ Opportunity for professional growth
- ✓ Engaging and challenging projects
Cons
- ✗ Requires advanced technical skills
- ✗ Not suitable for entry-level candidates
- ✗ Located in San Mateo, not remote
Best For: Ideal for those with expertise in distributed computing and high-performance systems.
Watch Out: Candidates should be prepared for a demanding role that requires continuous learning and adaptation.
You'll be redirected to metaintro.com
What Customers Say
Employees appreciate the innovative projects but note the demanding nature of the work.
Expert Review
This position offers contribute to AI technologies. The focus on high-performance ML kernels and distributed systems means candidates must bring strong technical skills. Those lacking experience in these areas might find the role overwhelming.
The company's emphasis on optimizing low-precision arithmetic is crucial for improving model efficiency, making this a significant role for anyone passionate about advancing AI capabilities. However, the position is located in San Mateo, which may pose commuting challenges for some applicants.
the lack of remote work options might deter potential candidates who prefer flexibility. Overall, this role is best suited for individuals ready to tackle complex challenges in a fast-paced environment. For more details, visit the official job listing at Meta Intro.
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