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HomeCompaniesAirspace Intelligence.ComMachine Learning Engineer (Defense)

Machine Learning Engineer (Defense)

Airspace Intelligence.Com · Boston, US · Active · Ashby

Job facts

FieldValue
CompanyAirspace Intelligence.Com
TitleMachine Learning Engineer (Defense)
Normalized title-
Department / team1. Defense / 1. Defense, 1.2. Defense Eng
LocationBoston, United States
Work model-
Employment typeFull Time
Salary-
Statusactive
ATS providerAshby
Posted / first seen / 2026-05-29
Changed / last seen2026-05-29 / 2026-06-20

Related slices

PageWhat it containsOpen
Company jobsActive postings from Airspace Intelligence.Com.Open
Company breakdownsRole, location, ATS, and work model facets for this company.Open
ATS provider jobsActive postings observed through Ashby.Open
Provider filtered searchThe same provider as a filtered job collection.Open
City jobsActive postings in Boston.Open
Department jobsActive postings in 1. Defense.Open
Lifecycle eventsOpen, update, close, and reopen events for this posting.Open
Original postingCanonical source or apply URL captured from the ATS.Open

Linked records

CompanyAirspace Intelligence.Com
Source46c09761-dc4b-442a-a75e-801e3d71f7d8
ATS providerAshby

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 ID97fed228d52b662009bf11502caf0519336b8295
Org IDa11636a8-e39c-4be5-985c-770bd05eace9
Source ID46c09761-dc4b-442a-a75e-801e3d71f7d8
Board ID46c09761-dc4b-442a-a75e-801e3d71f7d8
Providerashby
Provider Job Keya035a6a4-0aee-4611-ae43-d0592995416a
TitleMachine Learning Engineer (Defense)
Normalized Title
Statusactive
Activeyes
Location TextBoston, US
Department1. Defense
Team1. Defense, 1.2. Defense Eng
Employment Typefull_time
Workplace Type
Remote Policy
CountryUnited States
Region
CityBoston
Salary Raw
Salary Min
Salary Max
Salary Currency
Salary Period
Source URLhttps://jobs.ashbyhq.com/airspace-intelligence.com/a035a6a4-0aee-4611-ae43-d0592995416a
Apply URLhttps://jobs.ashbyhq.com/airspace-intelligence.com/a035a6a4-0aee-4611-ae43-d0592995416a/application
First Seen At2026-05-29 05:45:53Z
Last Seen At2026-06-20 09:08:02Z
Last Checked At2026-06-20 09:08:02Z
Last Changed At2026-05-29 05:45:53Z
Inactive At
Source Posted At
Source Updated At
Raw Payload Uris3://job-postings-prod-raw-590183727216/raw/provider=ashby/board=airspace-intelligence.com/date=2026-06-20/2026-06-20T09-07-59-609Z-91d12810cb450e2e4054cc10d28352a4c824050d31cf0ad46e1ce15f20a02e30.json
Event Fields
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  "last_changed_at": "2026-05-29T05:45:53.143Z",
  "active_status": "active"
}
Parsed Structured
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}
Extensions
{}
Native Structured
{
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  "team": "1. Defense, 1.2. Defense Eng",
  "title": "Machine Learning Engineer (Defense)",
  "jobUrl": "https://jobs.ashbyhq.com/airspace-intelligence.com/a035a6a4-0aee-4611-ae43-d0592995416a",
  "address": null,
  "applyUrl": "https://jobs.ashbyhq.com/airspace-intelligence.com/a035a6a4-0aee-4611-ae43-d0592995416a/application",
  "isListed": true,
  "isRemote": false,
  "location": "Boston, US",
  "updatedAt": null,
  "apiVersion": "ashby-non-user-graphql-v1",
  "department": "1. Defense",
  "publishedAt": null,
  "workplaceType": null,
  "employmentType": "FullTime",
  "secondaryLocations": []
}
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GET https://api.bluedoor.sh/job-postings/v1/jobs/97fed228d52b662009bf11502caf0519336b8295?include=descriptionJSON
GET https://api.bluedoor.sh/job-postings/v1/orgs/a11636a8-e39c-4be5-985c-770bd05eace9JSON
GET https://api.bluedoor.sh/job-postings/v1/sources/46c09761-dc4b-442a-a75e-801e3d71f7d8JSON
GET https://api.bluedoor.sh/job-postings/v1/jobs/97fed228d52b662009bf11502caf0519336b8295/eventsJSON