Machine Learning Engineer (Defense)

Reposted 6 Days Ago
Boston, MA, USA
In-Office
Mid level
Aerospace • Artificial Intelligence • Logistics • Machine Learning • Software • Transportation • Defense
When predictability matters, real-time is already the past.
The Role
Design and deploy production-grade ML systems, integrate models into software pipelines, and develop features leveraging ML for optimization and prediction problems.
Summary Generated by Built In

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.

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The Company
HQ: Boston , Massachusetts
150 Employees
Year Founded: 2018

What We Do

ASI is a dual-use software company that deploys predictive AI to the world's most complex operating environments. Backed by leading investors–including Andreessen Horowitz, Renegade Partners, and Spark Capital–we actively manage over 40% of all US air traffic across both public and private sector air operations. Partnering with major airlines like United and Alaska, we optimize thousands of flights daily, delivering millions in fuel savings and reducing flight times for customers. Today, we're expanding our industry-proven capabilities into new domains, including global logistics, maritime, and energy. Come join our founding engineering team in Boston as we build the future of complex operations.

Why Work With Us

You will do everything from ideate and develop new products from the ground up (0 to 1) to refine and optimize existing solutions (1 to n). In a small-team, fast-paced environment, you'll set standards for excellence while collaborating across the business. Your work will drive real impact.

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Typical time on-site: None
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