Machine Learning Engineer

Posted 3 Days Ago
Boston, MA
Hybrid
Mid level
Aerospace • Artificial Intelligence • Logistics • Machine Learning • Software • Transportation
When predictability matters, real-time is already the past.
The Role
As a Machine Learning Engineer, you will design and deploy systems that integrate ML models into software pipelines, focusing on scalability and performance.
Summary Generated by Built In

About Air Space Intelligence

ASI enables success for the world's most complex operations. From critical infrastructure to defense, we serve major airlines and U.S. and allied government organizations, providing our partners with a decision advantage from planning to operations. Backed by top-tier investors—including Andreessen Horowitz, Spark Capital, and Renegade Partners—we are boldly investing in R&D and growth to push the boundaries of what’s possible.

What you will do:
As part of our core 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).

  • Strong understanding of data structures, algorithms, and software engineering best practices.

  • Familiarity with classical ML, deep learning, and MLOps concepts.

  • Experience building and maintaining scalable, reliable systems that include ML components.

  • 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 do 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.

Top Skills

AWS
Kubernetes
Mlops
Python
PyTorch
Scikit-Learn
TensorFlow
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The Company
HQ: Boston , Massachusetts
109 Employees
Hybrid Workplace
Year Founded: 2018

What We Do

ASI is a Series B company working with a quarter of major US airlines, including Alaska and United. We help these airlines optimize their flights, processing 3200 flights per day and saving our customers over $12M dollars per year on fuel. We also work with government agencies, answering questions like “did any plane in the sky do something bad?” and processing events for over 20,000 planes per second with single-digit millisecond latencies.
Boston-based positions focus on our expansion in government domains, pushing beyond “what’s happening right now?” into “what will happen in the future?”.

Why Work With Us

Your role covers everything from ideating and developing new products from the ground up (0 to 1) to refining and optimizing existing solutions (1 to n). In a fast-paced environment, you'll set standards for excellence while collaborating with a cross-functional team. Your work will drive real impact, enhancing decision-making and airspace safety.

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Air Space Intelligence Offices

Hybrid Workspace

Employees engage in a combination of remote and on-site work.

Typical time on-site: 70 % of the time
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HQBoston, Massachusetts
Company Office Image
Washington, US
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