Sr. Machine Learning Engineer II (Remote)

Pratt & Whitney; United States; Remote; USD 124,000 - 250,000; Full time

Job summary

A leading aerospace company is seeking a Machine Learning Engineer to join the Predict crew, responsible for developing advanced ML models to enhance operational efficiency in the aviation sector. This full-time, remote position demands creativity and extensive experience in Python, machine learning frameworks, and cloud-based systems. Candidates will directly impact the aviation industry by building innovative solutions leveraging vast datasets.

Benefits

Medical, dental, and vision insurance

Three weeks of vacation for newly hired employees

Generous 401(k) plan with matching funds

Tuition reimbursement program

Employee Assistance Plan

Virtual doctor visits

Qualifications

• Typically requires a degree in STEM and minimum 10 years prior relevant experience or an Advanced Degree with 7 years experience.
• Deep experience with Python and developing deep learning models using Tensorflow/Keras or PyTorch.

Responsibilities

• Build new predictive models and bring them to production.
• Participate in internal research lab to push the envelope in aviation ML.

Skills

Python

machine learning

Tensorflow

Keras

PyTorch

Education

STEM degree

Tools

Docker

Kubernetes

AWS

PostgreSQL

Apache Iceberg

Elasticsearch

Job description

Date Posted:

2025-06-03

Country:

United States of America

Location:

RTX99: RTN Remote, Texas

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:

None/Not Required

Are you prepared to unlock additional value from the most complete dataset in aviation?

FlightAware, part of the Connected Aviation Solutions unit of Collins Aerospace, has built the world's leading aviation software platform, processing over 180+ million incoming messages an hour from over 30,000 individual data feeds—2 terabytes a day and growing! We provide the best, most complete, and most accurate real-time flight-tracking service and are proud to have built a wide variety of successful products on this foundation that have become central to the aviation industry at large.

The Aviation Insight group in Engineering is responsible for delivering real-time and historical insights from our data. We do this through streaming data processing and fusion to generate our single source of truth, which we then use to train our predictive models. 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, and more. The results of these models power the FlightAware Foresight product suite, which streams live predictive aviation data to major customers in the industry.

As a Machine Learning engineer on our Predict crew, 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.

This role requires creativity, innovation, and communication of new approaches to both technical and non-technical audiences will be important for success. As part of FlightAware Engineering, you’ll be part of a highly collaborative, and ambitious organization. We attract engineering leaders with a passion for aviation and data. Our team champions intellectual curiosity, openness, and technical innovation. We invest in building excellent internal tooling and engineering support in order to create a productive and highly effective team that anticipates the future and leads by example. You’ll get to learn alongside talented senior engineers and share your own expertise.

Regardless of role, we expect excellent interpersonal and communication skills across all hires at FlightAware. We look for candidates who will thrive here, meaning they demonstrate clear communication, embrace open feedback, trust their colleagues, and are driven to execute, deliver, and complete projects independently and efficiently.

Learn more about FlightAware engineering by reviewing Angle of Attack (our blog).

This is a full-time role. We’d love to hear from you if you enjoy solving complex, real-world problems collaboratively.

What You Will Do:

• Build new predictive models and bring them all the way to production.
• Provide ideas on how to improve existing products and build ML models to compare them to existing ones.
• Participate in our internal research lab, pushing the envelope of what’s possible in the aviation ML space.

What You Will Learn:

• You will develop a deep understanding of aviation data and the insights that can be gained from them.
• Develop your general software engineering skills in an environment that encourages development. In particular, you will increase proficiency through the regular use of Python and Rust to manage/access data stored in a wide variety of architectures, including AWS, Apache Iceberg, and Elasticsearch.
• You will learn how to communicate the value of data and data-driven decision making.

Qualifications You Must Have:

• Typically requires a degree in Science, Technology, Engineering or Mathematics (STEM) and minimum 10 years prior relevant experience or an Advanced Degree in a related field and minimum 7 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.
• Deep experience with Python.
• Experience with developing deep learning models using Tensorflow/Keras or PyTorch. This includes creating datasets, model selection, and model tuning.

Qualifications We Prefer:

• Experience deploying models in production using Docker, Kubernetes, or GPUs.
• Familiarity with cloud (AWS), Linux-based systems, and data infrastructure tools such as PostgreSQL, Iceberg, or Apache Elasticsearch.
• Experience with Rust or a willingness to learn it.
• You are looking to pursue your private pilot license or have a passion for aviation.

We value curiosity, learning, and experiences, and welcome candidates with varied educational and professional backgrounds.

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!

Learn More & Apply Now!

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.

The salary range for this role is 124,000 USD - 250,000 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, 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. Specific benefits are dependent upon the specific business unit as well as whether or not the position is covered by a collective-bargaining agreement. Hired applicants may be eligible for annual short-term and/or long-term incentive compensation programs depending on the level of the position and whether or not it is covered by a collective-bargaining agreement. Payments under these annual programs are not guaranteed and are dependent upon a variety of factors including, but not limited to, individual performance, business unit performance, and/or the company’s performance. This role is a U.S.-based role. If the successful candidate resides in a U.S. territory, the appropriate pay structure and benefits will apply. 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.

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.

Privacy Policy and Terms:

Click on this link to read the Policy and Terms