Machine Learning Engineer (Defense)
- Location
- Boston, MA · On-site
- Job type
- Full-time
- Level
- Mid-level
- Listed
- 23 days ago
Skills & highlights for this role
- Python
- TensorFlow
- PyTorch
- Kubernetes
- MLOps
- LangChain
Also useful
- Apache Beam
- MLflow
- AWS
- RAG systems
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.
About ASI
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.
From ASI's careers page, first listed on Rolev.ai on October 17, 2026. Rolev.ai is not the employer.
How Rolev.ai helps with this application
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Common questions
Where is the Machine Learning Engineer (Defense) job at ASI located?
This Machine Learning Engineer (Defense) position at ASI is located in Boston, MA (On-site). Always check ASI's application page for specific state eligibility or relocation policies.
What qualifications are required for Machine Learning Engineer (Defense) at ASI?
For the Machine Learning Engineer (Defense) role, ASI highlights experience with Python, TensorFlow, PyTorch, Kubernetes, MLOps, LangChain. Rolev.ai can score your existing resume against these requirements and show any skill gaps before you apply.
How do I apply for the Machine Learning Engineer (Defense) position at ASI?
This listing links directly to ASI's Ashby application page. You can apply directly on ASI's site, or use Rolev.ai to check your resume fit, generate a zero-hallucination tailored resume and cover letter for this posting, and autofill the Ashby application form in 1 click with the Rolev.ai Chrome extension. You always review the form and press Submit yourself.