Related skills
machine learning training llms transformers cuda📋 Description
- Lead model training and inference for AI products.
- Implement and scale training pipelines for large transformers/LLMs.
- Build low-latency inference services with autoscaling.
- Tune GPU kernels and improve utilization across training/inference.
- Mentor engineers and collaborate with ML scientists to productionize methods.
🎯 Requirements
- 5+ years of software engineering experience.
- Degree in Computer Science, Computer Engineering, or equivalent.
- Experience with model training (transformers/LLMs).
- Experience with model inference at scale (transformers/LLMs).
- Low-level GPU work: CUDA or Triton.
- Strong fundamentals; clear communication and collaboration.
🎁 Benefits
- Competitive salary, annual bonus and equity.
- Regular compensation reviews.
- Unlimited access to Claude Code and AI tools.
- Generous paid time off above statutory minimum.
- Hybrid working.
- MacBooks standard; Windows for some roles when needed.
Meet JobCopilot: Your Personal AI Job Hunter
Automatically Apply to Engineering Jobs. Just set your
preferences and Job Copilot will do the rest — finding, filtering, and applying while you focus on what matters.
Help us maintain the quality of jobs posted on Empllo!
Is this position not a remote job?
Let us know!