Senior Applied ML Engineer — Systems & Optimization Leader

United States Digital Space LLC; San Francisco (CA); On-site; USD 180,000 - 230,000; Full time

Job summary

United States Digital Space LLC is seeking a Senior Applied ML Engineer for the Applied AI team in San Francisco. You will architect and optimize ML systems spanning cluster management to query compilation, delivering cost-efficient workloads for customers.

The role requires deep ML engineering experience, strong programming skills (Python/Scala/Java), and a solid background in cloud and distributed data processing.

Qualifications

• Master's degree in Machine Learning, Data Science, or related field (AI, EE, Physics, etc).
• Strong background in building, training, and deploying ML models in production.
• Practical familiarity with cloud computing, distributed systems, and modern data processing frameworks.
• Proficiency in Python, Scala, or Java.

Responsibilities

• Accelerate serverless growth by optimizing scaling and efficiency of compute products.
• Design end-to-end ML4Sys solutions to support the company’s infrastructure.
• Define the roadmap for applied ML investments with engineering and product leaders.
• Architect, train, and deploy state-of-the-art models to improve product performance and cost efficiency.
• Build robust ML pipelines, data processing layers, model serving components, and production monitoring systems.
• Research and implement novel modeling techniques for computer systems and distributed environments.

Skills

ML model development

Model deployment

Python

Scala

Java

Cloud computing

Distributed systems

Data processing frameworks

Education

Master's degree in Machine Learning, Data Science, or related field

Job description

United States Digital Space LLC is seeking a Senior Applied ML Engineer for the Applied AI team in San Francisco. You will architect and optimize ML systems spanning cluster management to query compilation, delivering cost-efficient workloads for customers.

The role requires deep ML engineering experience, strong programming skills (Python/Scala/Java), and a solid background in cloud and distributed data processing.