Time since we first saw it
Day 12
Similar jobs usually come down between day 7 and day 72.
From 4,777 similar postings that came down. Coming down is not always a hire.
Machine Learning Engineer III
Location not stated
Actively hiring, first seen by us 12 days ago- Pay
- Pay not listed
- Work setting
- Not stated
- Employment
- Not stated
What you’ll work on
Full postingDesign autonomy solutions using RL, MARL, world models, LLMs and stochastic control
Turn algorithms into production-quality ML code and maintain training pipelines
Lead technical teams and break challenging projects into executable sprints
Drive code reviews to apply DevSecOps and MLOps best practices
Analyze and improve model performance, and work with teams to deploy the autonomy stack
From the employer’s posting
Design, implement, and solve autonomy problems via complex, data-driven decision-making paradigms including reinforcement learning (RL), multi-agent reinforcement learning (MARL), world models, large language models (LLMs), and stochastic control systems.
Translate algorithms and technical specifications into production-quality ML code, following software engineering best practices. Maintain and deploy trained models and training pipelines.
Lead technical teams and scope challenging projects into executable sprints.
Drive code reviews to help team adhere to general DevSecOps and MLOps best practices.
Analyze, assess, quantify, communicate, and develop methods to improve model performance.
Posting record
Report an errorActively hiringFirst seen by us 12 days ago, still listed, and not a repost of an earlier posting.
- Status in our records
- Live
- First seen by us
- Oct 28, 202612 days ago
- Recorded sightings
- 53
- Last seen by us
- Nov 9, 2026
- Employer says posted
- Oct 12, 2026
These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.
How this job compares
25539:5313 is hiring
4 open jobs
Open jobs by the week we first saw them, last 12 weeks.
Hiring recordSee how this role fits your experience
Add your resume to compare the role’s scope, tools and requirements with your experience.
Your next step
Complete your application on sjobs.brassring.com. The employer’s form will show what is required.
Already applied? Track this application
Demand for ML Engineer roles
New ML Engineer postings at the employers we follow are up 13% over the last 6 weeks compared with the 6 before.
Each bar is one week of new postings. The darkest bars are the last 6 weeks.
Counted from the hiring pages we’ve followed for at least five weeks, so employers we add don’t look like growth. Updated weekly.
About the role
We file this job under ML Engineer, by the work the posting describes.
ML engineers put machine learning models into products. They write the code that trains, ships, serves and monitors models so a recommendation or prediction works for real users.
Postings ask for strong Python and software engineering, a framework such as PyTorch, cloud services, and more and more often experience with large language models.
A data scientist often works out which model to build; an ML engineer makes it run reliably in production.
US government figures for computer and information research scientists
- Median yearly pay, May 2025
- $140,300
- Expected change, 2025 to 2035
- 21.8% more jobsagainst 3.5% for all jobs
The government has no code for ML engineers, so these figures are for the closest group, computer and information research scientists.
Source: US Bureau of Labor Statistics, Occupational Employment and Wage Statistics (May 2025) and Employment Projections (2025 to 2035). Occupation code 15-1221.
Job description
General Atomics Aeronautical Systems, Inc. (GA-ASI), an affiliate of General Atomics, is a world leader in proven, reliable remotely piloted aircraft and tactical reconnaissance radars, as well as advanced high-resolution surveillance systems.
DUTIES AND RESPONSIBILITIES:
DUTIES AND RESPONSIBILITIES:
- This is a Supervisory role.
- Design, implement, and solve autonomy problems via complex, data-driven decision-making paradigms including reinforcement learning (RL), multi-agent reinforcement learning (MARL), world models, large language models (LLMs), and stochastic control systems.
- Translate algorithms and technical specifications into production-quality ML code, following software engineering best practices. Maintain and deploy trained models and training pipelines.
- Completes programming and implements efficiencies, performs testing, validation, and debugging.
- Works with multi-functional teams to deploy and utilize autonomy stack.
- Analyze, assess, quantify, communicate, and develop methods to improve model performance. Collaborate across diverse teams of subject matter experts to evaluate model behavior.
- Lead technical teams and scope challenging projects into executable sprints.
- Drive code reviews to help team adhere to general DevSecOps and MLOps best practices.
- Have a growth mindset and be comfortable in a setting where milestones shift often due to customer preferences or technology evolution.
- Adapts machine learning to areas such as virtual reality, augmented reality, artificial intelligence, robotics and other products that allow users to have an interactive experience.
- Maintains the strict confidentiality of sensitive information.
- Performs other duties as assigned.
- Responsible for observing all laws, regulations and other applicable obligations wherever and whenever business is conducted on behalf of the Company.
- Expected to work in a safe manner in accordance with established operating procedures and practices.
Source details
Source notes
Source excerptsSelected passages from the saved posting. Check the full description for conditions and exceptions.
- Pay
No pay amount identified in the saved description.
- Location & working pattern
Location not supplied.
Working pattern and location restrictions need checking in the full posting.
- Work authorization
No clear work-authorization passage found. Eligibility is unconfirmed.