Cloud MLOps Engineer supporting Data Science and Engineering teams by automating CI/CD pipelines and managing multi - cloud infrastructure for ML production.
About the role
- Senior deep learning algorithm developer at Mobileye building multimodal learning framework for autonomous driving. Training advanced models for navigation insights and collaborating with technical teams.
Responsibilities
- Own dataset curation activities- acquiring, cleaning, labeling, and tailoring multimodal data to meet model training and validation requirements.
- Train and fine-tune LLMs, VLMs, and VLA models to interpret visual scenes and produce actionable navigation insights supporting autonomous vehicle decision-making.
- Lead robust validation of advanced multimodal models - ensuring reliable vision-language-action alignment and consistent performance across diverse real-world driving scenarios.
- Collaborate closely with AV planners, perception teams, and infrastructure engineers to ensure seamless deployment in a real-time ecosystem.
- You’ll have the opportunity to influence the strategic direction of language-driven autonomy - proposing new ideas, shaping model capabilities, and driving innovation from research to real-world deployment.
Requirements
- M.Sc. in Deep Learning, Computer Vision, NLP, or a related field (Ph.D. an advantage).
- At least 5 years of hands-on experience in developing deep learning models.
- Strong programming skills in Python (additional C++ is an advantage).
- Experience with modern DL frameworks (e.g., PyTorch, TensorFlow).
- Experience with large multimodal or language models (LLMs/VLMs/VLA models) and their real-world integration - advantage.
Job title
Job type
Experience level
Salary
Not specified
Degree requirement
Tech skills
Location requirements
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