Distributed LLM Training & Inference Engineer
Scale AI
Join a leading AI company to develop and enhance a machine learning framework for large language models, requiring expertise in system optimization and software engineering.
Last checked on June 14, 2026. We may earn a commission when you click through.
This role offers a unique chance to contribute to innovative AI developments, especially for those passionate about large language models.
Distributed LLM Training & Inference Engineer
Scale AI
Updated 20 days agoYou'll be redirected to talent.com
This role offers a unique chance to contribute to innovative AI developments, especially for those passionate about large language models.
About this role
Join a leading AI company to develop and enhance a machine learning framework for large language models, requiring expertise in system optimization and software engineering.
About the Company
Scale AI is a prominent AI technology firm based in San Francisco, focused on advancing AI solutions across various industries.
Key Highlights
- ✓ Opportunity to work with cutting-edge AI technology
- ✓ Focus on optimizing machine learning frameworks
- ✓ Requires expertise in CUDA and PyTorch
- ✓ Collaborative work environment
- ✓ Based in New York City
💡 Honest Take: Ideal for candidates with strong system optimization skills, but may not suit those without experience in CUDA or PyTorch.
Pros
- ✓ Work with a leading AI company
- ✓ Innovative projects in AI technology
- ✓ Strong emphasis on collaboration
- ✓ Located in a vibrant tech hub
Cons
- ✗ No remote work options available
- ✗ Requires specific technical skills
- ✗ High-pressure environment typical of tech firms
Best For: Targeted at professionals with a solid background in software engineering and system optimization.
Watch Out: Candidates lacking experience in CUDA or PyTorch may find the technical demands challenging.
You'll be redirected to talent.com
What Customers Say
Feedback from employees highlights a collaborative culture but notes the high expectations and pressure typical in tech roles.
Expert Review
Working as an ML Systems Engineer at Scale AI means diving into the heart of distributed large language models. The role demands proficiency in technologies like CUDA and PyTorch, making it crucial for candidates to have a solid engineering background. Those without these skills may struggle to keep pace with the technical requirements.
The position is located in New York City, a thriving hub for tech professionals, offering unique networking opportunities. However, the role is not remote, which could be a limiting factor for many talented candidates seeking flexibility in their work environment.
In terms of company culture, Scale AI promotes a collaborative atmosphere, essential for innovative AI projects. This is a significant plus for team-oriented individuals who thrive in dynamic settings. The potential for high-pressure situations typical of fast-paced tech companies should also be considered.
Overall, this role presents a compelling opportunity for engineers eager to push the boundaries of AI technology. For more details, visit the official listing at Scale AI's page.
You might also like
Related Articles
Debunking Common Myths About Manufacturing Jobs
Think you know everything about factory work? These myths might surprise you. Learn the realities and find the right job for you.
Security Jobs in New York: Top Picks for This April
Discover top security job opportunities in New York this spring. From budget-friendly picks to premium positions, here's where to look and what to avoid.
Where the Best Project Management Jobs Pay Off in April 2026
Discover which project management roles offer the best salaries this spring and how they compare. From architectural millwork to SaaS management, find your next career move with our top picks.
Receptionist vs Controller: Which Finance Job Fits You in Phoenix?
Phoenix is buzzing with finance jobs this April. Compare Receptionist and Controller roles to find the best fit for your career goals.
Why These Admin Jobs Are the Best for Remote Work in April
Explore top admin roles perfect for those seeking remote work flexibility this spring. From part-time research panels to receptionist gigs, find out which roles offer the best pay and perks.
Smart Hiring: Top Teaching Jobs in Phoenix This Spring
Discover the best teaching jobs in Phoenix this April, with insights on pay, flexibility, and work-life balance. Whether you're just starting or looking for a change, we've got you covered.