Machine Learning Engineer
Confirmed on the employer's own hiring board on Oct 12, 2026. First seen by Alion on Sep 14, 2026.
About Us
Our mission is to bring state-of-the-art artificial intelligence to the tactical edge, enabling the American warfighter to make better decisions faster, to synthesize and understand diverse streams of data, and to work directly with robotic platforms using natural language. We’re researchers, and we perform the full stack of model training, conducting thousands of experiments in order to improve our models. We’re also machine learning engineers, and we bring productized AI directly to the end user.
By placing AI models at the tactical edge, the warfighter is empowered with the world’s best AI, even in the most harsh and extreme conditions. Moreover, interactions with the EdgeRunner system are secure by nature, because the data never needs to leave the device. Whether it’s on a laptop, a TAK device, a robotic platform, or in a field-forward location, we achieve frontier-level task performance by specializing each model for the warfighter’s MOS/AFSC and platform-specific needs and by performing aggressive and proprietary quantization, distillation, and compression.
Our passion is to build nothing short of the world’s best AI for the edge.
About this Role
In this role, you will build the foundations of the EdgeRunner Research organization. Behind every successful model is code for data acquisition, data processing, model evaluation, efficient parallelization, high-performance kernels, low-loss quantization and compression, and much more.
Strong candidates will have experience building libraries and owning codebases in one or more of the following areas:
Scalable data processing;
Distributed model training environments;
Complex training architectures (distillation, RL, etc.);
Specialized reinforcement learning gyms;
Compute and cluster management;
Data, model, and pipeline versioning;
Compute kernel development;
Quantization and compression; or
Large scale evaluations.
Candidates must be eligible to receive a TS/SCI clearance, and strong candidates will have an active clearance. Under federal law, U.S. citizenship is required to obtain a security clearance.
EdgeRunner AI is a Series-A startup, and we move quickly. Preference will be given to candidates who have a track record of taking the initiative, who can understand how business objectives translate into technical solutions, who can interact with customers, and who are comfortable with ambiguity. Though we work as a team, every engineer is a self-starter, a project owner, and can operate independently when needed.
We offer competitive salary, equity, and benefits, with individual pay determined by experience, relevant education, and/or training. Benefits include:
100% covered health, dental, and vision for employees; 50% for dependants
100% remote first culture; you can work from anywhere in the US full-time
401K program
Unlimited PTO
IT stipend for purchasing new equipment
EdgeRunner AI is an equal opportunity employer, and qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender perception or identity, national origin, age, marital status, protected veteran status, or disability status.
Even if you don’t perfectly match our job description and requirements, please still apply if you are passionate about our mission and this technology.