Senior ML Engineer II – Remote, Build Aviation AI

Collins Aerospace; Sacramento (CA); À distance; USD 132 000 - 252 000; Plein temps

Avantages offerts par ce poste

Medical, dental, and vision insurance

Generous 401(k) with match

Tuition reimbursement

Life insurance

Employee Assistance Program

Résumé du poste

Collins Aerospace is seeking a Machine Learning Engineer for its Aviation Intelligence team. You will architect and improve ML models powering the Foresight product suite, analyzing large aviation datasets to predict runway timings, gate arrivals, and taxi durations.

Join a small, idea-driven team within a large organization, focused on scalable ML solutions that improve global aviation efficiency and reliability. Remote work with strong collaboration across disciplines is encouraged.

Qualifications

• Requires STEM degree with 8+ years experience or advanced degree with 5+ years experience.
• Authorized to work in the U.S. without sponsorship now or in the future.
• Strong Python proficiency.
• Experience with TensorFlow/Keras or PyTorch.
• Experience handling time series, image, or video data.
• Able to work in an agile development environment.

Responsabilités

• Build ML models for Foresight products and aviation analytics.
• Improve existing models and datasets for efficiency and accuracy.
• Collaborate with cross-functional teams to deploy models at scale.
• Support large datasets and performance-focused ML engineering.

Connaissances

Python

Deep learning

Agile

Time series

Formation

STEM degree

Advanced degree

Outils

Kubernetes

AWS

GPU acceleration

Graph neural networks

Dagster/Airflow

Iceberg/Spark/Elasticsearch

Description du poste

Collins Aerospace is seeking a Machine Learning Engineer for its Aviation Intelligence team. You will architect and improve ML models powering the Foresight product suite, analyzing large aviation datasets to predict runway timings, gate arrivals, and taxi durations.

Join a small, idea-driven team within a large organization, focused on scalable ML solutions that improve global aviation efficiency and reliability. Remote work with strong collaboration across disciplines is encouraged.