Senior Deep Learning Engineering - Autonomous Vehicles

What You Will Be Doing

• Explore state-of-the-art Large Language Models (LLMs) and Vision-Language Models (VLMs) for search and classification of Autonomous Vehicle (AV) scenarios.
• Hands-on model development, including fine-tuning large LLMs and VLMs for internal use cases.
• Collaborate with software engineers and researchers to ensure seamless integration of models from training to deployment.

What We Want To See

• Master’s or PhD in Computer Science, Electrical Engineering, Computer Engineering, or a related field (or equivalent experience).
• 10+ years of professional experience in deep learning or applied machine learning.
• Strong foundation in deep learning algorithms, including hands-on experience with LLMs and VLMs.
• Deep understanding of general transformer architectures, inference bottlenecks, and popular model architectures such as Qwen family.
• Proficient in building and deploying models using PyTorch in production-grade environments.
• Solid programming skills in Python.

Ways To Stand Out From The Crowd

• Proven experience deploying LLMs or VLMs at scale in real-world applications using vLLM, SGLang.
• Hands-on experience with SFT, DPO, GRPO techniques for fine-tuning.
• Proven experience in developing image and video search solutions at scale.

Base Salary Range: $224,000 - $356,500 USD
Application Deadline: May 18, 2026
This posting is for an existing vacancy.