Machine Learning Engineer (Boston) Job at Air Space Intelligence, Boston, MA

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  • Air Space Intelligence
  • Boston, MA

Job Description

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About Air Space Intelligence

ASI started with a simple vision - build Google Maps for the skies. Our mission-critical technology now powers decisionmaking across major airlines, the U.S. Department of Defense, and other critical infrastructure domains. Backed by toptier investors including Andreessen Horowitz, Spark Capital, and Renegade Partners, ASI delivers operational decision superioritycompressing days of analysis into seconds of action. ASI is leading the way and pushing the boundaries of whats possible.

What You Will Do

As part of our core engineering team, you will design and deploy productiongrade systems that integrate machine learning models into scalable software pipelines. Youll develop and ship features that leverage ML to solve realworld optimization and prediction problems, working with modern infrastructure like Kubernetes, AWS, and MLOps tooling. Youll approach problems with a software engineers mindsetprioritizing robustness, maintainability, and performance at scale.

What We Value

  • Proficiency in Python and experience with production ML tooling and frameworks (e.g., TensorFlow, PyTorch, scikitlearn).
  • Experience using LLMs in production environments covering prompt engineering, finetuning, 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 productiongrade tools.
  • Commitment to highquality 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 crossfunctional 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.

Position Details

  • Seniority level: Entry level
  • Employment type: Fulltime
  • Job function: Engineering and Information Technology
  • Industry: Software Development

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Job Tags

Full time,

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