Senior Machine Learning Engineer II - FlightAware (Remote)

For our client, we are seeking a Senior Machine Learning Engineer II to join the team of a leader in the Aerospace & Defense space.

This role will focus on developing advanced machine learning solutions that improve prediction accuracy and operational decision-making in aviation-related environments. The engineer will work closely with a small, innovative team to turn historical data into predictive systems and solve complex, open-ended technical problems. This is a hands-on opportunity to help shape next-generation AI capabilities that support operational efficiency and real-world impact.

Location: Remote - US based candidates only, no visa sponsorship available

Compensation: $132,400 – $251,600 annually

Responsibilities

• Build next-generation machine learning models for new product offerings
• Improve existing models to enhance operational efficiency
• Leverage historical data to create predictive systems
• Collaborate with a small, innovative team to generate ideas
• Solve open-ended problems in aviation intelligence
• Directly impact aviation operations by enhancing prediction accuracy

Qualifications

• Degree in STEM with 8 years of experience, or an advanced degree with 5 years of experience
• Authorization to work in the U.S. without sponsorship
• Strong knowledge of Python
• Experience with deep learning frameworks such as TensorFlow/Keras or PyTorch
• Experience working with complex data types such as time series and images
• Ability to work in an agile development environment

Benefits

• Medical, dental, and vision insurance
• Three weeks of vacation for new hires
• Generous 401(k) with employer matching and contributions
• Tuition reimbursement program
• Student loan repayment program
• Life insurance and disability coverage
• Family planning and fertility support
• Employee Assistance Program with counseling
• Work-life balance incentives, including flexible work schedules

Our client is an equal opportunity employer. We encourage you to apply even if you don’t meet every qualification—your background could be exactly what this team needs.