Senior Machine Learning Engineer II - FlightAware (Remote)

Prattwhitney; California (MO); Hybrid; USD 132,000 - 252,000; Full time

Benefits offered by this job

Medical, dental, and vision insurance

Three weeks of vacation

401(k) with employer match and savings

Tuition reimbursement

Student Loan Repayment Program

Life insurance and disability coverage

Employee assistance program

Job summary

RTX is seeking a Machine Learning Engineer for the Aviation Intelligence team. You will build next-generation ML models powering Foresight products, improve current models, and enhance operational efficiency for airlines and airports worldwide.

The role is remote in the United States, with a focus on large datasets, open-ended problems, and collaboration within a small team inside a large org. Strong Python and DL framework experience required.

Qualifications

• STEM degree with 8+ years of relevant experience or an advanced degree with 5+ years.
• Must be authorized to work in the U.S. without sponsorship now or in the future.
• 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.

Responsibilities

• Build next-generation ML models for Foresight products.
• Improve existing models to enhance operational efficiency of aviation systems.
• Work within the Aviation Intelligence and Predict teams on large-scale datasets.
• Leverage cloud and on-prem tools to develop scalable ML solutions.

Skills

Python

TensorFlow

PyTorch

Keras

Time series

Image data

Video data

Agile

Education

STEM degree

Advanced degree

Tools

Kubernetes

AWS

GPU acceleration

Dagster

Airflow

Iceberg

Spark

Elasticsearch

Job description

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 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.

Location: Remote, United States.

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

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:

• 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!

Hired applicants may be eligible for benefits, including but not limited to, medical, dental, vision, life insurance, short-term disability, long-term disability, 401(k) match, flexible spending accounts, flexible work schedules, employee assistance program, Employee Scholar Program, parental leave, paid time off, and holidays.

The salary range for this role is 132,400 USD - 251,600 USD.

RTX anticipates the application window closing approximately 40 days from the date the notice was posted. However, factors such as candidate flow and business necessity may require RTX to shorten or extend the application window.

The role is a U.S.-based role.

RTX is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability or veteran status, or any other applicable state or federal protected class. RTX provides affirmative action in employment for qualified Individuals with a Disability and Protected Veterans in compliance with Section 503 of the Rehabilitation Act and the Vietnam Era Veterans’ Readjustment Assistance Act.

RTX is an aerospace and defense company that provides advanced systems and services for commercial, military and government customers worldwide. It comprises three industry-leading businesses – Collins Aerospace, Pratt & Whitney, and Raytheon. Its 195,000 employees enable the company to operate at the edge of known science as they imagine and deliver solutions that push the boundaries in quantum physics, electric propulsion, directed energy, hypersonics, avionics and cybersecurity. The company, formed in 2020 through the combination of Raytheon Company and the United Technologies Corporation aerospace businesses, is headquartered in Arlington, Virginia.