Senior ML Engineer, Aviation Intelligence — Remote

RTX Corporation; Olympia (WA); Remote; USD 132,000 - 252,000; Full time

Benefits offered by this job

Medical, dental, and vision insurance

Three weeks of vacation

Generous 401(k) with match

Tuition reimbursement

Student Loan Repayment

Life insurance

Disability coverage

Wellness programs

Employee assistance program

Parental leave

Teladoc/virtual care

Adoption assistance

And more!

Job summary

RTX Corporation is hiring a Machine Learning Engineer for its Aviation Intelligence team. You will develop state-of-the-art ML models to improve predictive aviation solutions, leveraging large historical datasets to support major airline and airport operations.

The role emphasizes open-ended problem solving, fast iteration, and a growth mindset, with a remote work setup and opportunities to influence product direction.

Qualifications

• Typically requires STEM degree and 8+ years experience or an advanced degree with 5+ years of experience.
• 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 ML models for Aviation Intelligence to power Foresight products.
• Improve existing models and data pipelines at scale.
• Collaborate with a small team to ideate and implement novel solutions.
• Work on large datasets and push performance and efficiency.

Skills

Python

Deep learning

Agile

Education

STEM degree

Advanced degree in related field

Tools

TensorFlow/Keras

PyTorch

Kubernetes

AWS

Airflow

Job description

RTX Corporation is hiring a Machine Learning Engineer for its Aviation Intelligence team. You will develop state-of-the-art ML models to improve predictive aviation solutions, leveraging large historical datasets to support major airline and airport operations.

The role emphasizes open-ended problem solving, fast iteration, and a growth mindset, with a remote work setup and opportunities to influence product direction.