3 hours ago
Mountain View, CA, USAMid Level / Senior
Base Salary
$220k - $300k/yr
Responsibilities
- Build and optimize end-to-end ML pipelines from data ingestion through deployment.
- Implement and fine-tune LLMs, embeddings, and generative models for real-world applications.
- Develop efficient distributed training and inference systems.
- Partner with data and product teams to turn ideas into measurable ML impact.
- Contribute to model monitoring, evaluation, and continual learning frameworks.
- Establish best practices for model versioning, reproducibility, and scalability.
- Independently debug ML systems without relying on AI coding assistants.
Requirements
- 3–10 years of experience as an ML Engineer, Applied Scientist, or Research Engineer.
- Proficiency in Python and at least one of PyTorch, TensorFlow, or JAX.
- Strong understanding of data preprocessing, feature engineering, model training, and optimization.
- Hands-on experience with distributed systems, cloud ML infrastructure, and MLOps tooling such as Weights and Biases or MLflow.
- Experience working with large datasets and high-throughput systems.
- Background at an AI data, labeling, or frontier model company is a strong plus.
- Ability to work autonomously with a bias for action and enthusiasm for building from scratch.
Benefits
- Equity is included.
- On-site work in Mountain View, California, United States.