Thales
This role involves designing and deploying machine learning models for air traffic optimization, focusing on real-time classification, regression, and sequence prediction using frameworks like PyTorch and TensorFlow. The position requires developing reinforcement learning agents, building RAG pipelines for AI reasoning, and automating MLOps workflows to integrate models into scalable cloud-native environments. Candidates will collaborate with engineering teams to ensure seamless integration of ML components while monitoring performance and managing model versioning.
From Aerospace, Space, Defence to Security & Transportation, Thales helps its customers to create a safer world by giving them the tools they need to perform critical tasks
Headquarters
San Francisco, CA
Company Size
201-500 employees
Founded
2018
Industry
Technology
Glassdoor Rating
4.2 / 5
Sarah Johnson
Chief Executive Officer
Michael Chen
Chief Technology Officer
Emily Williams
VP of Engineering
David Rodriguez
VP of Product
Jessica Thompson
Chief Financial Officer
Andrew Park
VP of Sales
View leadership team, funding history,
and employee contacts for Thales.
Thales didn’t post a salary, so this is our estimate from similar listings.
15% below the average for this role
Thales Group: Space business grew 7.6% in 2025 on way to 7%+ margin in 2027; merger with Airbus, Leonardo on track
2 weeks ago