Machine Learning Engineer

About Air Space Intelligence

Air Space Intelligence is a software-first aerospace company. We develop AI-powered mission control systems to ensure the world’s most complex air operations succeed. We serve major U.S. airlines as well as U.S. and allied government organizations. Our software is used in mission-critical operations to provide our partners with a decision advantage from the air operation center to the flight deck. Air Space Intelligence is well-funded by top-tier investors, and boldly investing in R&D and growth.

What you will do:

• Apply your judgment to discern the most suitable approach amidst a spectrum of ML methodologies and heuristic-based solutions.

• Collaborate closely with cross-functional teams to understand the intricacies of each problem domain, leveraging your expertise to devise innovative solutions.

• Develop robust algorithms and pipelines that seamlessly integrate machine learning components into existing software systems, enhancing functionality and performance.

• Iterate and refine your solutions through rigorous testing and validation, ensuring reliability, scalability, and effectiveness in real-world applications.

• Tackle software engineering tasks with precision and finesse, from designing and coding to testing and maintaining production-ready software components.

• Stay abreast of the latest advancements in machine learning and software engineering, continuously enriching your skill set to drive innovation and excellence.

• Mentor and collaborate with team members, fostering a culture of learning and growth while collectively striving for success.

• Communicate effectively with stakeholders to understand requirements, propose technical solutions, and deliver impactful results that drive business value.

• Champion best practices and process improvements, advocating for efficiency gains and driving the evolution of our development practices.

What we value:

• Strong Computer Science fundamentals, including algorithm design, complexity analysis, and data structures knowledge.

• Mastery of classical ML, DL & MLOps.

• Nice to have experience with Kubeflow or MLFlow & Apache Beam or Spark.

• Advanced knowledge of Python 3.

• Good knowledge of SQL.

• Solid Software Engineering skills.

• Ability to collaborate with others to include your solutions in the current stack.

• Intellectual curiosity.

What we offer:

• Flexible Working Hours: With a global team supporting 24/7 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.