AI Software Engineer (Vehicle Engineering)
Core
Develop, evaluate, and deploy AI systems and applications to accelerate engineering operations and solve business problems with limited real-world data.
Role type
Senior IC machine-learning engineer (AI systems & evaluation)
Builds
Internal AI applications, automated graders, reproducible training/evaluation environments, and backend services for AI outputs
Domain
Aerospace engineering + machine learning
Deliverable
production ML models
Required skills
Python, PyTorch, Linux, Docker, Kubernetes, data preparation, model evaluation, experiment tracking, API development
Preferred skills
Reinforcement learning, synthetic data generation, reward function design, distributed job execution, version control, software testing
Technologies
Docker, Kubernetes, PyTorch
Responsibilities
Build AI systems addressing engineering/business problems; Develop evals, benchmarks, and datasets; Create reproducible environments for agents; Integrate models with engineering tools; Establish baselines and analyze failures; Develop data workflows for limited data; Operate reliable workloads; Maintain deployed systems
Seniority
Senior, hands-on IC
