Machine Learning Engineer, Air Space Intelligence
Defense
AI for mission critical operations
Open for applications
AI for mission critical operations
101-200 employees
Open for applications
101-200 employees
Company mission
To enable mission-critical operations and optimize the world's most valuable assets.
Role
Who you are
- 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
What the job involves
- 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
Application process
- 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
Our take
Bringing AI to the aerospace and defense sectors, Air Space Intelligence supplies an operating system to support human intelligence and help operators in the air domain make better and faster decisions.
The company's Flyways platform leverages AI to generate predictions even in rapidly changing environments, providing contextually relevant actions to human operators. Specifically designed for high-stakes decision making, Flyways' value lies in its ability to fuse and enrich large sets of spatial and temporal data, from which it generates a new "4D lookahead" of the most likely scenario every few seconds.
In 2023, the company secured $34M to fuel growth and expand its government presence. Building on this momentum, Air Space Intelligence has since partnered with Joby Aviation to support the integration of electric air taxis into the US National Airspace System, positioning Flyways at the forefront of advanced air mobility.
Freddie
Company Specialist at Welcome to the Jungle
Company
Funding (1 round)
Dec 2023
$34m
SERIES B
Total funding: $34m
Company benefits
- Flexible work hours: With a global team supporting 24/7 mission-critical operations, we work hard and must be at our best. But we also work with flexibility in mind.
- Premium Healthcare: 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.
- 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.
- 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.
- 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 lunch every day.
Company HQ
Fenway–Kenmore, Boston, MA
Leadership
Phillip Buckendorf
(Co-Founder & CEO)Prior to co-founding Air Space Intelligence in 2018, Phillip co-founded GoodTime Labs where they served as the CEO for 3 years.
Kris Dorosz
(Co-Founder & CTO)Previously a Founding ML Engineer at Uni Robotics, CTO at Hiro, Senior Software Engineer at Samsung R&D Institute Poland, and an Assistant Professor at AGH University of Science and Technology.
Lucas Kukielka
(Co-Founder & VP Product Engineering)Previously a Technical Advisor for WeAre, Senior Software Engineer at Uni Robotics, and Software Engineer at Hiro. Was also in the Founding Team of Lemontea.
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