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Machine Learning Engineer

air space intelligenceBoston, MA

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Overview

Schedule
Full-time
Career level
Senior-level

Job 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 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).

  • 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 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.

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FAQs About Machine Learning Engineer Jobs at air space intelligence

What is the work location for this position at air space intelligence?
This job at air space intelligence is located in Boston, MA, according to the details provided by the employer. Some roles may also include multiple work locations depending on the requirement.
What pay range can candidates expect for this role at air space intelligence?
Employer has not shared pay details for this role.
What employment applies to this position at air space intelligence?
air space intelligence lists this role as a Full-time position.
What experience level is required for this role at air space intelligence?
air space intelligence is looking for a candidate with "Senior-level" experience level.
What is the process to apply for this position at air space intelligence?
You can apply for this role at air space intelligence either through Sonara's automated application system, which helps you submit applications 10X faster with minimal effort, or by applying manually using the direct link on the job page.