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Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in developing and implementing deep learning models, particularly in vision-language applications for autonomous vehicles. Strong background in building robust software and collaborating across teams to enhance AI-driven solutions.
Highest-signal resume keywords
Deep LearningMachine LearningVision-Language ModelsC++ ProgrammingPython Programming
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
Deep LearningMachine LearningComputer VisionUnsupervised LearningSelf-Supervised LearningContrastive Representation LearningRobust Software DevelopmentMathematics KnowledgeTraining Pipeline DevelopmentScalable Inference Systems
Soft Skills
Good CommunicationAnalytical SkillsCollaboration
Tools & Technologies
PyTorchTensorFlowTensorRT
Certifications & Qualifications
PhD in Computer ScienceMS in Computer Engineering
Industry Keywords
Artificial IntelligenceRoboticsAutonomous Navigation
Tech Stack
Tools & technologiesPythonPyTorchTensorflowC++
About the role
Key responsibilities & impact- Stay up to date with the latest research and innovations in deep learning, and implement and experiment with new ideas
- Foster collaborative partnerships with researchers and engineers, transforming innovative research into robust, industrial-strength machine learning models
- Take approaches from initial evaluation and experimentation through shipping
- Define, collect, and curate training and evaluation datasets, focusing on scenario coverage and label quality
- Develop vision-language models and embeddings for scenario search, classification, and automated data curation
- Build training pipelines and scalable inference systems using PyTorch, TensorFlow, TensorRT, Python, and C++
- Apply AI to discover and understand challenging driving scenarios at scale for autonomous vehicles
Requirements
What you’ll need- PhD with 1+ year, or MS (or equivalent experience) with 5+ years, of relevant experience in Computer Science, Computer Engineering, or a related technical field
- Proven experience building robust software
- Passion for Artificial Intelligence for robotics and autonomous navigation
- Math knowledge
- Experience in Deep Learning / Machine Learning
- Background in Computer Vision and/or multimodal learning
- Programming and debugging skills in C++ and/or Python
- Good communication and analytical skills
- Ability to work with multiple teams in a dynamic environment
- Experience with Unsupervised or Self-supervised Learning and contrastive representation learning
- Experience with vision-language models, agentic search, or automated dataset quality evaluation
Benefits
Comp & perks- Highly competitive salaries
- Comprehensive benefits package
- Equity
- Benefits