Air Space Intelligence Logo

Air Space Intelligence

Machine Learning Engineer

Reposted One Month Ago
Remote
Hiring Remotely in Poland
Mid level
Remote
Hiring Remotely in Poland
Mid level
Design and deploy production-grade systems integrating machine learning models into scalable software pipelines, while focusing on maintainability, performance, and collaboration with teams.
The summary above was generated by AI

About ASI

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.

What we offer:

  • Flexible Working Hours: With a global team supporting mission-critical operations, we have to be at our best, so we’ve adopted flexible hours to allow for balance.

  • Premium Healthcare and Health Insurance: Health and wellness are critical to living a happy and resilient life. We provide first-class medical, dental and vision coverage to you and your dependents.

  • Competitive Salary & Equity: Our team is our biggest asset. We value the hard work that each person commits to us, so we provide competitive, transparent compensation packages.

  • Generous relocation package to assure smooth relocation to Tricity area.

  • High Energy Environment: We live by the mantra that now is better than never. You will find yourself surrounded by peers who constantly challenge the status quo.

  • Flexible Time Off: We encourage you to take time off as you need it. While our team is hard-working, our success is measured by output—not time spent.

  • Office, Equipment & Tools: We bring the best tools to the mission, from ergonomic desk setups to modern productivity software. We have a freshly prepared team breakfast and lunch every day.

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.

HQ

Air Space Intelligence Boston, Massachusetts, USA Office

341 Newbury St., Boston, Massachusetts, United States, 02115

Similar Jobs at Air Space Intelligence

Yesterday
Remote or Hybrid
Entry level
Entry level
Aerospace • Artificial Intelligence • Logistics • Machine Learning • Software • Transportation • Defense
Provide end-to-end IT support for the Gdansk office, troubleshooting macOS, Windows, and mobile endpoints; managing onboarding, offboarding, access, SaaS applications, MDM, security baselines, patching, and asset inventory. Maintain conference-room technology, network infrastructure, and wireless systems while coordinating with vendors and security teams. Automate repetitive workflows, handle access reviews and audit tasks, document procedures, and create self-service resources.
Top Skills: AndroidBashEdrHelmIntuneiOSJAMFKandjimacOSMdmPowershellPythonSsoTeams RoomsTerraformWindowsZoom Rooms
One Month Ago
Remote or Hybrid
Entry level
Entry level
Aerospace • Artificial Intelligence • Logistics • Machine Learning • Software • Transportation • Defense
The Cloud Platform Engineer will scale infrastructure, code software solutions in Python, manage K8s, AWS, Docker, and build monitoring dashboards.
Top Skills: AWSCircleCIDockerGrafanaGraphiteHelmKubernetesPrometheusPythonTerraform
One Month Ago
Remote or Hybrid
Senior level
Senior level
Aerospace • Artificial Intelligence • Logistics • Machine Learning • Software • Transportation • Defense
As a Staff Engineer at ASI, you will tackle complex technical challenges, architect solutions, mentor engineers, and define engineering excellence.
Top Skills: AWSDockerJavaScriptKubernetesPythonRustTerraformTypescript

What you need to know about the Boston Tech Scene

Boston is a powerhouse for technology innovation thanks to world-class research universities like MIT and Harvard and a robust pipeline of venture capital investment. Host to the first telephone call and one of the first general-purpose computers ever put into use, Boston is now a hub for biotechnology, robotics and artificial intelligence — though it’s also home to several B2B software giants. So it’s no surprise that the city consistently ranks among the greatest startup ecosystems in the world.

Key Facts About Boston Tech

  • Number of Tech Workers: 269,000; 9.4% of overall workforce (2024 CompTIA survey)
  • Major Tech Employers: Thermo Fisher Scientific, Toast, Klaviyo, HubSpot, DraftKings
  • Key Industries: Artificial intelligence, biotechnology, robotics, software, aerospace
  • Funding Landscape: $15.7 billion in venture capital funding in 2024 (Pitchbook)
  • Notable Investors: Summit Partners, Volition Capital, Bain Capital Ventures, MassVentures, Highland Capital Partners
  • Research Centers and Universities: MIT, Harvard University, Boston College, Tufts University, Boston University, Northeastern University, Smithsonian Astrophysical Observatory, National Bureau of Economic Research, Broad Institute, Lowell Center for Space Science & Technology, National Emerging Infectious Diseases Laboratories

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account