Remote Staff ML Engineer: Edge AI & Scale

United States Digital Space LLC; United States; Remote; USD 122,000 - 168,000; Full time

Benefits offered by this job

RSU grant

Job summary

the company AI team seeks a Staff Machine Learning Engineer to build end-to-end AI solutions for customers. You’ll work with ML engineers, scientists, and full-stack/firmware engineers to deliver core features and optimizations on edge devices.

You should apply if you want to impact global industries, scale with over 2.3 million IoT devices, and engage in continuous learning while collaborating with customers and product teams.

Qualifications

• 8+ years experience as a Machine Learning Engineer.
• Profound experience in optimizing ML models and systems for Edge compute constraints.
• Coding in Python or similar.
• Coding in C++ or Rust.
• Strong knowledge of end-to-end ML product development.
• Experience shipping production code at large scale.
• Ability to distill requirements into clear problems.

Responsibilities

• Lead design and implementation of critical AI product initiatives on Edge devices.
• Develop tactical AI solutions and long-term research.
• Work with petabyte-scale data including text, diagnostics, sensor, video and location data.
• Collaborate across business units to prototype AI experiences and optimize ML models for edge devices.
• Stay connected to research and adopt novel technologies.
• Promote the company’s cultural principles at scale.

Skills

Python

C++

Rust

Edge compute

ML engineering

Production code

Mentoring

Communication

Job description

the company AI team seeks a Staff Machine Learning Engineer to build end-to-end AI solutions for customers. You’ll work with ML engineers, scientists, and full-stack/firmware engineers to deliver core features and optimizations on edge devices.

You should apply if you want to impact global industries, scale with over 2.3 million IoT devices, and engage in continuous learning while collaborating with customers and product teams.