Skip to main content

Machine Learning Ops Engineer

Rome, New York
Apply Now

Overview

General Atomics pioneers technologies with the potential to change the world. Behind a talented global team of engineers, GA delivers safe, sustainable, and economical solutions to meet growing global demands. Our Engineers have an opportunity to work on first of a kind product lines within an incredible, dynamic environment.

Engineering positions typically require a bachelor’s degree, master’s degree or PhD in engineering or a related technical discipline from an accredited institution and progressive engineering experience. Candidates from mechanical, electrical, and aerospace engineering backgrounds must know the fundamentals of engineering system developments, requirements, testing, and integration before getting to the final stages of customer interface and project management.

  • Schedule: Full-Time Salary

  • Job Level: Entry-Level (0-2 years)

  • Travel: 0 - 25

Back to Job Navigation (Overview)

Success Profile

What makes a successful Machine Learning Ops Engineer at General Atomics? Check out the top traits we’re looking for and see if you have the right mix.

  • Analytical
  • Collaborative
  • Inventive
  • Problem Solver
  • Team Player
  • Creative

Back to Job Navigation (Success)

Job ID 51905BR Company GA i3 Experience Level Entry-Level (0-2 years) Job Title Machine Learning Ops Engineer City Rome State New York Workstyle Onsite Full-Time/Part-Time Full-Time Salary Salary Range $81,000 - $141,533

Job Summary
General Atomics (GA), and its affiliated companies, is one of the world’s leading resources for high-technology systems development ranging from the nuclear fuel cycle to remotely piloted aircraft, airborne sensors, and advanced electric, electronic, wireless and laser technologies.

From concept-to-deployment, General Atomics North Point Defense, Inc. (GA-NPD), a division of General Atomics Integrated Intelligence, Inc. (GA-Intelligence), provides AI/ML-based autonomous signal processing and data dissemination solutions providing real-time actionable intelligence supporting tactical and national mission priorities. At GA-NPD, we take a tailored approach meeting our customers’ unique intelligence needs.

We are seeking an MLOps engineer who will streamline the end-to-end machine learning lifecycle, from research, development and experimentation to deployment and monitoring in production environments. This role demands applying software engineering best practices, such as continuous integration (CI) and continuous delivery (CD), to machine learning systems, ensuring ML models are not just developed but are also scalable, reliable, and continuously perform well in real-world applications.

Our team of experts work closely with the end-user in the development and implementation of a defense solution meeting platform and/or site-specific requirements. We pride ourselves as a trusted Defense Industry partner and deliver top-notch services far exceeding typical industry standards.

DUTIES AND RESPONSIBILITIES:
  • Package ML models in containers, i.e. Docker, and deploy to production environments.
  • Design and implement ML pipelines for data ingestion, training, evaluation, and deployment.
  • Setup and maintain model monitoring and logging of deployed models to track performance metrics like accuracy, latency, and resource utilization.
  • Collaborate with a diverse team including data scientists to transition models from research to production, software engineers to integrate ML models into broader application architectures, and system engineers to maximize hardware resources (cpu, fpga, gpu) to optimize performance.
We recognize and appreciate the value and contributions of individuals with diverse backgrounds and experiences and welcome all qualified individuals to apply.



Job Qualifications:
  • Typically requires a bachelors degree in computer science, engineering, mathematics, or a related technical discipline from an accredited institution. May substitute equivalent machine learning engineer experience in lieu of education.
  • Strong proficiency in Python. Experience with other languages like C++ is also valuable.
  • Understanding of machine learning principles and frameworks like PyTorch (preferred), TensorFlow, etc.
  • Practical experience with Docker for deployment and packaging applications.
  • Experience with optimizers such as TensorRT, onnx, and openVino.
  • Proficient with Linux command line environment.
  • Ability to obtain and maintain DoD Security Clearance is required.

Salary:$81,000 - $141,533
Travel Percentage Required 0 - 25 Relocation Assistance Provided Not Provided US Citizenship Required? Yes Clearance Required? Desired Clearance Level Top Secret (SCI access eligible)
Apply Now

Benefits

  • Healthcare

  • Pension, 401(k)/Retirement Plans

  • Competitive Pay

  • Multiple product lines means a variety of work

  • Paid Time Off

Back to Job Navigation (Rewards)

Image of Peter, Senior Staff Engineer
“The company is growing, has a very good reputation and had open positions in my area of expertise (aircraft design/design methodology development).”
– Peter, Senior Staff Engineer
Image of Debra, CSSBB: Staff Engineer
“We don't ascribe to quotas; we do ascribe to securing the BEST talent to enrich our culture toward healthy diversification and active/viable community service. We are STEM advocates.”
– Debra, CSSBB: Staff Engineer
Image of Scott, Laser Scientist
“Every day is different, with different problems to solve and many programs to support. I am a problem solver and have always been motivated by the tough questions.”
– Scott, Laser Scientist
Image of John, Staff Engineer
“I work in the Components Engineering and Obsolescence Management Dept. Our efforts are saving General Atomics several millions of dollars by proactively leading and informing the company of all these decisions which significantly impact production, sustainment and new designs.”
– John, Staff Engineer

Back to Job Navigation (Quote)

>

Sign up for job alerts

Get General Atomics job alerts delivered right to your inbox.

Sign Up

Join our talent community

Be among the first to get the latest career news, hiring events and other information helpful to your professional goals.

Sign Up