6 hours ago
Mountain View, CA, USAMid Level / Senior
Base Salary
$220k - $300k/yr
Responsibilities
- Design, train, and evaluate ML models including LLMs, diffusion models, and domain-specific architectures.
- Build scalable experimentation pipelines for data, model training, and evaluation workflows.
- Collaborate with data and infrastructure teams to optimize training throughput and data quality.
- Contribute to open research, internal benchmarks, and emerging multimodal and generative AI techniques.
- Prototype research insights and productionize them into usable tools and models.
- Set standards for research rigor, documentation, and reproducibility.
Requirements
- 3 to 10 years of hands-on experience in ML research, applied ML, or ML systems engineering, with substantive research depth.
- Experience at a research lab or leading AI/technology company, including model training, benchmark development, and foundation-model evaluation or red-teaming.
- Research paper writing or contribution experience is strongly valued.
- Deep fluency with PyTorch, JAX, or TensorFlow.
- Strong knowledge of Transformers, diffusion models, or RLHF.
- Solid foundations in data processing, distributed training, and evaluation metrics.
- Ability to move from research papers to working prototypes and production-ready code.
- Interest in multimodality, self-learning, synthetic data, and agentic systems.
- Comfort building from zero to one in a fast-moving, unstructured startup environment.
Benefits
- Base salary of $220,000 to $300,000 USD annually plus equity.
- Visa sponsorship is not available for this role.
- On-site work in Mountain View, California.
Tech Stack
PyTorchTensorFlow
Categories
AI ResearchML Engineering