AI Researcher, Core ML (Turbo)
Together AI4 days ago
Base Salary
$200k - $280k/yr
Responsibilities
- Design and prototype algorithms for low-latency, high-throughput inference.
- Implement changes in high-performance inference engines.
- Profile and optimize performance across GPU, networking, and memory layers.
- Design and operate RL and post-training pipelines.
- Make RL workloads more efficient with inference-aware training loops.
- Train and evaluate frontier models on the inference stack.
- Profile, debug, and optimize inference and post-training services.
- Drive roadmap items requiring engine modifications.
- Establish metrics and experimentation frameworks.
- Set technical direction for cross-team efforts.
- Mentor engineers and researchers on full-stack ML systems.
Requirements
- 3+ years of experience in ML systems or large-scale model training.
- Advanced degree in Computer Science, EE, or related field.
- Demonstrated experience owning complex technical projects.
- Strong coding ability in Python.
- Experience profiling and optimizing performance across layers.
- Track record of impactful work in ML systems or RL.
- Ability to read and understand new RL/post-training papers.
- Comfortable working from algorithms to engines.
Benefits
- Competitive compensation and startup equity.
- Health insurance and other competitive benefits.