Senior Machine Learning Engineer II - FlightAware (Remote)

Date Posted: 2026-10-26 Country: United States of America Location: US-CA-REMOTE Position Role Type: Remote U.S. Citizen, U.S. Person, or Immigration Status Requirements: Must be authorized to work in the U.S. without the company’s immigration sponsorship now or in the future. The company will not offer immigration sponsorship for this position.​ The company will not seek an export authorization for this role. Security Clearance Type: None/Not Required Security Clearance Status: Not Required As a Machine Learning Engineer on the Aviation Intelligence team, you will be building our next generation of Machine Learning models that will become new Foresight products, improving our existing models, and through this work, improving the operational efficiency of the world's largest airlines and airports.. We're a small team inside a large org, and this role is meant to grow into someone who brings ideas to the table, not just executes on them. Within Aviation Intelligence, FlightAware's Predict crew builds state-of-the-art machine learning systems that leverage years of historical data and hundreds of millions of examples in order to build models for computing runway landing times, gate arrival times, taxi durations, and more. The results of these models power the FlightAware Foresight product suite, which streams live predictive aviation data to major customers in industry. Here's why you might like it: the datasets are genuinely very large, so you get to leverage niche technologies for large datasets and get to flex your math/stats skills from time to time. Performance and efficiency aren't nice-to-haves here, they're fun problems. Much of what we work on is open-ended — and "can this even be solved," is a question that one must enjoy trying to answer. Improvements in our products directly improve the status quo for aviation around the world: airlines and airports run on our predictions, so real people catch flights they'd otherwise miss and skip delays they'd otherwise sit through — without ever knowing your work is why. You don't get many shots at impacting an entire mode of transportation. This is one of them. Qualifications You Must Have: Typically requires a degree in Science, Technology, Engineering or Mathematics (STEM) and minimum 8 years prior relevant experience or an Advanced Degree in a related field and minimum 5 years of experience Must be authorized to work in the U.S. without sponsorship now or in the future. RTX will not offer sponsorship for this position. Strong knowledge of Python Experience with deep learning frameworks: Tensorflow/Keras or PyTorch Experience with complex data types: time series, image, video, etc. Ability to work within an agile development style Qualifications We Prefer: ​​ Experience with Kubernetes, AWS, and GPU acceleration. Experience with graph neural networks Experience with weather, or other geospatial, datasets Experience with observability stacks (Prometheus, Grafana, Thanos, etc.). Familiarity with Dagster, Airflow or other modern ETL orchestration tools. Familiarity with Iceberg, Spark, Elasticsearch and other large-scale data processing systems. Experience working in hybrid infrastructure environments (cloud + on-prem Kubernetes). What We Offer : Some of our competitive benefits package includes:    Medical, dental, and vision insurance   Three weeks of vacation for newly hired employees   Generous 401(k) plan that includes employer matching funds and separate employer retirement contribution, including a Lifetime Income Strategy option   Tuition reimbursement program  Student Loan Repayment Program   Life insurance and disability coverage   Optional coverages you can buy pet insurance, home and auto insurance, additional life and accident insurance, critical illness insurance, group legal, ID theft protection  Birth, adoption, parental leave benefits  Ovia Health, fertility, and family planning   Adoption Assistance            Autism Benefit   Employee Assistance Plan, including up to 10 free counseling sessions   Healthy You Incentives, wellness rewards program  Doctor on Demand, virtual doctor visits   Bright Horizons, child and elder care services  Teladoc Medical Experts, second opinion program    And more!   Avionics:   Avionics delivers advanced cockpit displays, vision systems, and comprehensive digital solutions for global government, commercial and business aviation customers. We provide connectivity and managed data services to ensure safety and seamless communication for passengers, crews, and militaries, from aircraft and airports to air traffic management. Join us in creating solutions that connect the world, one flight at a time. Start your application today. Please ensure the role type (defined below) is appropriate for your needs before applying to this role. Remote: Employees who are working in Remote roles will work primarily offsite (from home).  An employee may be expected to travel to the site location as needed.  At Collins, the paths we pave together lead to limitless possibility. And the bonds we form – with our customers and with each other -- propel us all higher, again and again.   Apply now and be part of the team that’s redefining aerospace, every day. As part of our commitment to maintaining a secure hiring process, candidates may be asked to attend select steps of the interview process in-person at one of our office locations, regardless of whether the role is designated as on-site, hybrid or remote. The salary range for this role is 132,400 USD - 251,600 USD. The salary range provided is a good faith estimate representative of all experience levels. RTX considers several factors when extending an offer, including but not limited to, the role, function and associated responsibilities, a candidate’s work experience, location, education/training, and key skills. Hired applicants may be eligible for benefits, includin