about 2 months ago
San Francisco, CA, USAEntry Level / Mid Level
Responsibilities
- Design, train, fine-tune, and deploy ML models for operational problems.
- Build scalable data pipelines for structured and unstructured data.
- Integrate models into robust production systems with strong testing practices.
- Prototype and benchmark new modeling approaches to enhance performance.
Requirements
- Bachelor's degree in Computer Science.
- Strong software engineering fundamentals.
- Solid understanding of machine learning principles.
- Hands-on experience with ML frameworks like PyTorch and TensorFlow.
- Experience with real-world datasets including cleaning and feature engineering.
- Strong communication and collaboration skills.
- Willingness to travel up to 15% for engagements.
- Must be eligible for a U.S. security clearance.
- Preferred: Master's degree in a related field.
- Preferred: Experience with edge-deployable ML systems.
- Preferred: Familiarity with distributed training or large-scale data processing.
Benefits
- Competitive salary and equity.
- Opportunity to help build a category-defining defense tech company.
- Full health benefits.
- 401(k) plan.
- Offices located in Washington DC and San Francisco.
Tech Stack
PyTorchTensorFlow
Categories
AI & MLData Engineering