Senior Software Engineer - ML Infrastructure
$215k - $285k • Sunnyvale • FullTime
Posted 3y ago
Job Location
Sunnyvale
Tech Stack
Remote Work Policy
On-site
Employment Type
FullTime
Categories
Machine Learning Engineer
About the job
Applied Intuition is seeking infrastructure engineers with expertise in machine learning pipelines and ML engineers who want to work beyond modeling to join the Data & ML infra group. This role will span the entire ML lifecycle, from dataset generation and training frameworks to compute, evaluation, and deployment, working directly with modeling teams. The team is ideal for individuals excited by broad, ambiguous problems and eager to develop across the entire ML stack. At Applied Intuition, engineers are encouraged to take ownership of technical and product decisions, engage closely with users for feedback, and contribute to a dynamic team culture.
Responsibilities
- Design and implement distributed cloud GPU training approaches for deep learning model training and evaluation.
- Build end-to-end machine learning pipelines and integrate them into core product workflows.
- Promote best practices in ML engineering and maintain a high standard of excellence.
- Collaborate with engineers across the company to solve complex data problems at scale.
Requirements
- Bachelor's degree in Computer Science, Software Engineering, or equivalent.
- 3+ years of professional experience.
- Experience building software components for production, full-stack machine learning challenges.
- Strong opinions on building a company-wide platform for ML training, evaluation, and deployment.
- Knowledge of the open-source landscape and judgment on build vs. buy decisions.
- Excellent analytical and problem-solving skills.
Benefits
- Base salary, equity (options and/or restricted stock units).
- Comprehensive health, dental, vision, life, and disability insurance coverage.
- 401k retirement benefits with employer match.
- Learning and wellness stipends.
- Paid time off.