Home › Companies › Airspace Intelligence.Com › Machine Learning Engineer (Defense)
Machine Learning Engineer (Defense)
Airspace Intelligence.Com · Boston, US · Active · Ashby
Job facts
| Field | Value |
|---|---|
| Company | Airspace Intelligence.Com |
| Title | Machine Learning Engineer (Defense) |
| Normalized title | - |
| Department / team | 1. Defense / 1. Defense, 1.2. Defense Eng |
| Location | Boston, United States |
| Work model | - |
| Employment type | Full Time |
| Salary | - |
| Status | active |
| ATS provider | Ashby |
| Posted / first seen | — / 2026-05-29 |
| Changed / last seen | 2026-05-29 / 2026-06-20 |
Related slices
| Page | What it contains | Open |
|---|---|---|
| Company jobs | Active postings from Airspace Intelligence.Com. | Open |
| Company breakdowns | Role, location, ATS, and work model facets for this company. | Open |
| ATS provider jobs | Active postings observed through Ashby. | Open |
| Provider filtered search | The same provider as a filtered job collection. | Open |
| City jobs | Active postings in Boston. | Open |
| Department jobs | Active postings in 1. Defense. | Open |
| Lifecycle events | Open, update, close, and reopen events for this posting. | Open |
| Original posting | Canonical source or apply URL captured from the ATS. | Open |
Linked records
| Company | Airspace Intelligence.Com |
| Source | 46c09761-dc4b-442a-a75e-801e3d71f7d8 |
| ATS provider | Ashby |
Description
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.
Full job record
| Job ID | 97fed228d52b662009bf11502caf0519336b8295 |
| Org ID | a11636a8-e39c-4be5-985c-770bd05eace9 |
| Source ID | 46c09761-dc4b-442a-a75e-801e3d71f7d8 |
| Board ID | 46c09761-dc4b-442a-a75e-801e3d71f7d8 |
| Provider | ashby |
| Provider Job Key | a035a6a4-0aee-4611-ae43-d0592995416a |
| Title | Machine Learning Engineer (Defense) |
| Normalized Title | — |
| Status | active |
| Active | yes |
| Location Text | Boston, US |
| Department | 1. Defense |
| Team | 1. Defense, 1.2. Defense Eng |
| Employment Type | full_time |
| Workplace Type | — |
| Remote Policy | — |
| Country | United States |
| Region | — |
| City | Boston |
| Salary Raw | — |
| Salary Min | — |
| Salary Max | — |
| Salary Currency | — |
| Salary Period | — |
| Source URL | https://jobs.ashbyhq.com/airspace-intelligence.com/a035a6a4-0aee-4611-ae43-d0592995416a |
| Apply URL | https://jobs.ashbyhq.com/airspace-intelligence.com/a035a6a4-0aee-4611-ae43-d0592995416a/application |
| First Seen At | 2026-05-29 05:45:53Z |
| Last Seen At | 2026-06-20 09:08:02Z |
| Last Checked At | 2026-06-20 09:08:02Z |
| Last Changed At | 2026-05-29 05:45:53Z |
| Inactive At | — |
| Source Posted At | — |
| Source Updated At | — |
| Raw Payload Uri | s3://job-postings-prod-raw-590183727216/raw/provider=ashby/board=airspace-intelligence.com/date=2026-06-20/2026-06-20T09-07-59-609Z-91d12810cb450e2e4054cc10d28352a4c824050d31cf0ad46e1ce15f20a02e30.json |
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