Senior Research Engineer on the model scaling team, reporting to Director of AI Research. Build and maintain distributed training stack across GPU clusters, run scaling experiments, and release models publicly. Requires 6+ years software engineering, 4+ years ML infrastructure, and deep expertise in CUDA, Mixture-of-Experts, or reinforcement learning.
Key Highlights
Key Responsibilities
Technical Skills Required
Benefits & Perks
Nice to Have
Job Description
Senior Research Engineer
Seattle, Washington | Hybrid
The position is a Senior Research Engineer on the model scaling team, reporting to a Director of AI Research. The work covers model training and the supporting infrastructure. Training runs use approximately 600 B300 and 1,000 H100 GPUs.
Responsibilities
- Build and maintain the training stack for distributed model training across GPU clusters.
- Run scaling experiments covering model architecture, data, and optimisation.
- Work in one specialist area: GPU kernel development (CUDA), Mixture-of-Experts architectures, or reinforcement-learning post-training (GRPO, PPO, RLVR).
- Release models, code, and associated research publicly.
Searching for Development & Programming roles that provide visa sponsorship? Connect with international employers through Development & Programming Jobs with Visa Sponsorship opportunities actively seeking talented professionals.
Requirements
- 6+ years of software engineering experience.
- 4+ years of machine-learning infrastructure experience.
- Python and PyTorch.
- Experience training models from scratch (pretraining). Experience limited to retrieval-augmented generation or application-level fine-tuning does not meet this requirement.
- Depth in at least one of: CUDA kernels, Mixture-of-Experts, or reinforcement learning (GRPO, PPO, RLVR).
Also considered
- JAX.
- Open-source contributions.
- Published research.
- Experience with GPU clusters at the scale described above.
Explore our comprehensive directory of visa sponsorship jobs from employers worldwide who are ready to sponsor talented international professionals.
Interview process
- Hiring-manager screen — 25 minutes.
- Recruiter screen — 15 minutes.
- Machine-learning coding interviews — two sessions, 45 minutes each.
- Machine-learning system-design interview — 45 minutes.
- Technical deep-dive with the Director of AI Research — 60 minutes.
- Final interview — 30 minutes.
- Offer.
Interested in opportunities specifically in United State? Discover our dedicated Visa Sponsorship Jobs in United State page featuring roles from top employers in this location.
- Base salary: $147,000–$220,000 + strong bonus programmes in addition to base salary.
- Hybrid in Seattle, Washington. On-site presence is required. Fully remote is not available.
- Visa sponsorship is available.
Application
This search is managed by Intelix.AI.
Contact: Hasan Mohammad — hasan@intelix.ai.
Similar Jobs
Explore other opportunities that match your interests