Machine Learning Engineer
Quick Summary
Hadrian - Manufacturing the Future Hadrian is building autonomous factories that help aerospace and defense companies manufacture rockets, satellites, jets, and ships up to 10x faster and up to 2x cheaper.
Hadrian is building advanced software systems to automate Design for Manufacturing (DFM) analysis and accelerate precision manufacturing.
Hadrian is building autonomous factories to reindustrialize America. By combining AI, advanced software, robotics, and full-stack manufacturing, we help aerospace and defense companies build rockets, satellites, aircraft, ships, and other mission-critical systems up to 10x faster and at significantly lower cost.
Hadrian is building advanced software systems to automate Design for Manufacturing (DFM) analysis and accelerate precision manufacturing. Our homebuilt DFM platform analyzes design prints and CAD models to make logical, data-driven determinations about whether and how Hadrian can manufacture a part.
We work closely with some of the best operators in the world to identify high-impact opportunities where software, computer vision, and machine learning can meaningfully augment or automate complex engineering judgment. As a Senior Machine Learning Engineer, you will play a key role in designing, building, and scaling these systems end to end.
Responsibilities
~1 min read- →
Research, develop and deploy cutting-edge deep learning models, including OCR, vision-language, and detection models for document understanding and layout analysis
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Contribute to the ongoing development and refinement of current models in close collaboration within the engineering team and end users
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Work in every facet of the Machine Learning lifecycle - including the creation and optimization of production data pipelines, and software systems for training, inference, labeling, and evaluation
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Judiciously combine open-source solutions and novel research to create world-class vision systems for manufacturing applications
Bachelors in Computer Science, Electrical Engineering, Mechanical Engineering (or similar discipline), or an equivalent amount of deep learning experience
5+ years of experience in Computer Vision and/or Machine Learning, including ownership of projects throughout the entire ML Lifecycle
Proficiency in Python, OpenCV, SQL, and one or more deep learning frameworks (PyTorch, Tensorflow, etc.)
A Master’s Degree in Computer Science with focus in Artificial Intelligence or Machine Learning
Demonstrated experience with detection/segmentation models and achieving high performance results - including exploratory analysis, model selection, and hyperparameter tuning
Previously worked in aerospace, defense, or manufacturing, and have experience working 3D/CAD/CAM data for manufacturing applications
Strong software engineering skills and prior web development experience using Javascript/TypeScript or Python, and familiarity with FastAPI or Express frameworks
Prior experience with distributed training using cloud infrastructure
Prior experience with visual document understanding and layout analysis
Published research or achieved SOA results on an ML application
Prior experience with multi-modal deep learning models
You have a passion for manufacturing and believe that the industry needs better software
Prior experience working in a startup environment
What We Offer
~1 min readFor this role, the target salary range is $160,000 - $300,000 (actual range may vary based on experience).
This is the lowest to highest salary we reasonably and in good faith believe we would pay for this role at the time of this posting. We may ultimately pay more or less than the posted range, and the range may be modified in the future. An employee's pay position within the salary range will be based on several factors, including, but not limited to, relevant education, qualifications, certifications, experience, skills, geographic location, performance, and business or organizational needs.
Requirements
~1 min readTo conform to U.S. Government export regulations, including the International Traffic in Arms Regulations (ITAR) you must be a U.S. citizen or national, lawful permanent resident, protected individual as defined by 8 U.S.C. 1324b(a)(3), or eligible to obtain the required authorizations from the U.S. Department of State. Learn more about the ITAR here.
Hadrian uses AI-assisted tools in our recruiting and hiring processes to help our team work more efficiently. This may include tools that help organize and analyze recruiting data, as well as an AI-powered notetaker that can record and transcribe interviews and help coordinate feedback. These tools support our team and are not used to make hiring decisions. All candidate evaluations and hiring decisions are performed by humans. If an interview will be recorded, you will be notified in advance and may opt out at any time with no impact on your candidacy. Candidate data processed through these tools is subject to the same protections described in our Privacy Policy.
Hadrian will consider for employment qualified applicants with criminal histories in a manner consistent with the requirements of all applicable laws. We do not ask about criminal history on our application, and we do not consider criminal history before making a conditional offer of employment.
Hadrian does not unlawfully discriminate on the basis of race, color, religion, gender, national origin/ethnicity, veteran status, disability status, age, sexual orientation, marital status, mental status, physical disability or any other legally protected status. When necessary, the Company also makes reasonable accommodations for disabled candidates and employees, including for candidates or employees who are disabled by pregnancy, childbirth, or related medical conditions.
Location & Eligibility
Listing Details
- Posted
- February 5, 2026
- First seen
- May 6, 2026
- Last seen
- September 26, 2026
Posting Health
- Days active
- 52
- Repost count
- 0
- Trust Level
- 15%
- Scored at
- June 28, 2026
Signal breakdown
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