Staff ML Engineer: Edge AI & Production Systems

United States Digital Space LLC; United States; Hybrid; USD 123,000 - 169,000; Full time

Benefits offered by this job

RSU grant

Job summary

the company AI team builds end-to-end AI solutions for our customers as well as core ML infrastructure for the company. As a Staff Machine Learning Engineer, you will be working with petabyte-scale sensor, diagnostic, video, and text data to solve critical problems for Physical Operations customers, globally.

You will work closely with ML Engineers and Scientists, as well as full-stack and firmware engineers to deliver core product features, services, and optimizations.

Qualifications

• 8+ years experience as a Machine Learning Engineer.
• Experience optimizing ML models for edge compute constraints.
• Proficient in Python and C++ or Rust.
• Strong knowledge of the iterative machine learning product development process.
• Experience shipping production code at large scale.
• Ability to distill informal or ambiguous customer and business requirements into crisp problem definitions.
• Proven ability to communicate verbally and in writing to technical peers and leadership teams with various levels of technical knowledge.
• Experience coaching and mentoring ML Engineers.

Responsibilities

• Lead design and implementation of AI product initiatives on Edge devices.
• Develop both tactical AI solutions as well as more strategic and longer term research.
• Work with petabyte-scale data from customer operations including text, transactions, diagnostics, sensor, camera, and location data.
• Partner across business units to explore and prototype new AI experiences and optimize the ML model performance on edge devices.
• Stay connected to industry and academic research and adopt novel technology that suits the company’s needs.
• Champion, role model, and embed the company’s cultural principles as we scale globally and across new offices.

Skills

Edge compute optimization

Python

C++

Rust

Production code

Communication

Mentoring ML engineers

Problem definition

Job description

the company AI team builds end-to-end AI solutions for our customers as well as core ML infrastructure for the company. As a Staff Machine Learning Engineer, you will be working with petabyte-scale sensor, diagnostic, video, and text data to solve critical problems for Physical Operations customers, globally.

You will work closely with ML Engineers and Scientists, as well as full-stack and firmware engineers to deliver core product features, services, and optimizations.