Machine Learning Engineer (Defense)
Air Space Intelligence · Boston, Massachusetts
- Location
- Boston, Massachusetts, United States
- Employment
- Full time
- Level
- Mid level
- Posted
- 17 months ago
About this role
About Air Space Intelligence
ASI's mission-critical technology powers decision-making across aviation, defense, energy, and other critical infrastructure domains. Backed by top-tier investors including Andreessen Horowitz, Spark Capital, and Renegade Partners, ASI delivers operational decision superiority - compressing days of analysis into seconds of action. ASI is leading the way and pushing the boundaries of what’s possible.
What You Will Do:
As part of our Defense engineering team, you will design and deploy production-grade systems that integrate machine learning models into scalable software pipelines. You’ll develop and ship features that leverage ML to solve real-world optimization and prediction problems, working with modern infrastructure like Kubernetes, AWS, and MLOps tooling. You’ll approach problems with a software engineer’s mindset - prioritizing robustness, maintainability, and performance at scale.
What We Value:
Proficiency in Python and experience with production ML tooling and frameworks (e.g., TensorFlow, PyTorch, scikit-learn).
Experience using LLMs in production environments - covering prompt engineering, fine-tuning, RAG systems, and frameworks like LangChain
Strong understanding of data structures, algorithms, and software engineering best practices.
Familiarity with classical ML, deep learning with emphasis on transformer architectures, and MLOps concepts.
Experience building and maintaining scalable, reliable production ML systems with robust data pipelines, including expertise with Apache Beam, MLflow, and similar production-grade tools.
Commitment to high-quality ML engineering practices, including data versioning, experiment tracking, model governance, and automated testing pipelines.
A bias for simplicity and clarity in solving complex problems.
Intellectual curiosity and willingness to collaborate.
Clear communication and collaboration across cross-functional teams.
How We Hire:
We look at the interview process not as screening test but rather as an opportunity to simulate what it would look like working together. We build the interview process around you.
ASI works with export controlled technology and restricted U.S. Government data, including on contracts mandating U.S. immigration status and location restrictions for performing personnel. Employment offers are contingent on ability to timely obtain all required authorizations for contemplated job duties.
As published by Air Space Intelligence. Applications are handled on their site.
Skills this posting mentions
About Air Space Intelligence
Air Space Intelligence (ASI) is a software-first aerospace & defense company. We partner with organizations such as US and allied government agencies and major airlines to ensure the world's most complex air operations succeed. Our technology provides our partners with a decision-making advantage when and where the stakes are the highest - from air operations centers to the dynamic environment of the flight deck.
All 26 openings at Air Space IntelligenceOne click, then it is written
Apply to Air Space Intelligence with a resume written for this role.
Queue Machine Learning Engineer (Defense) and I read the posting, rewrite your resume against it, draft the cover letter, and score the fit. Then you press send, or press one button and I fill in Air Space Intelligence’s form for you.
01Drop your resume
A PDF or a LinkedIn URL. About a minute, once.
02I rank the openings
Every weekday morning, the live catalog scored against your history. Up to 20 worth your time, not two hundred links.
03Each one is written up
Resume rewritten for the posting, a cover letter, a fit score. Press send, or let me fill in the form.
- 25 sent a week, free
- No card
- Nothing sent until you say so
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Put this to work
Paste your career in once. Every application after that is written for you.
Drop a resume or a LinkedIn URL. I rank the live openings against it, rewrite the resume and write a cover letter for the best of them, and fill in the employer's form when you press the button. You read, you decide what goes out.
01Drop your resume
A PDF or a LinkedIn URL. About a minute, once.
02I rank the openings
Every weekday morning, the live catalog scored against your history. Up to 20 worth your time, not two hundred links.
03Each one is written up
Resume rewritten for the posting, a cover letter, a fit score. Press send, or let me fill in the form.
- New matches ranked and written before you are up.
- Every bullet stays inside what your history supports. Nothing invented.
- Queued, submitted, interviewing, offer: one screen, not a spreadsheet.
500 free credits on sign-up. No card. Nothing is sent until you say so.
Listed from the job board Air Space Intelligence publishes. Refolk is not the employer and does not handle their hiring. Applications go to Air Space Intelligence directly.