*req id*: 323261
we are currently seeking a ai/ml engineer to join our team in guadalajara, méxico (mx-mex), mexico (mx).
- develop simulations leveraging generative models to synthesize sensor data, scenarios, and other driving environments
- engineer solutions using few-shot learning and prompt-based techniques to rapidly adapt models to new tasks
- optimize generative models for performance, scalability, and efficient deployment on embedded systems
- establish testing frameworks to validate model robustness, safety, and performance
- collaborate across teams to identify use cases for generative al that improve autonomous driving capabilities
- develop and deploy generative al models for image generation, text generation, or music generation.
- develop new methods for training generative al models on large datasets.
- develop new ways to deploy generative al models in production.
- collaborate with researchers and engineers to advance the state of the art in generative al.
Minimum skills required: what you bring
- bachelor's degree in computer science or related field or equivalent experience.
- 3+ years' experience building and deploying
al systems
- 5-10 years of technology industry experience
- expertise in training and deploying large generative models like dall-e, gpt-3, etc.
- proficiency with python and tensorflow or pytorch, or related libraries
- strong software engineering skills and knowledge of model optimization techniques
added bonus if you have
- theoretical foundations of generative al, including probability theory, statistics, and machine learning.
- develop and deploy generative al models, including deep learning frameworks, large-scale data processing and analysis, and programming skills in python or a similar language.
- work independently and as part of a team and communicate effectively with both technical and non-technical audiences.
- work on cutting-edge research projects in generative al, and make a real impact on the field of artificial intelligence.
- passion for advancing safe autonomous vehicle technology.
Li-latam
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