AI/Data Resident

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Skills you'll use

What you'll do

• Research, design, implement, optimize and deploy deep learning models that advance the state of the art in perception and control for autonomous driving
• A typical day to day includes reading deep learning papers, implementing described models and algorithms, adapting them to our setting and driving up internal metrics
• Play a pivotal role in developing and maintaining sophisticated enterprise-level software applications, with a focus on back-end systems, API development, and the integration of language models and NLP technologies
• Train machine learning models at Ema
• Develop state-of-the-art algorithms in one or all of the following areas: Prompt engineering for LLM models, Fine tuning models, Training open source models, large-scale distributed training,
• Comparing and benchmarking performance of different models
• Optimize deep neural networks and the associated preprocessing/postprocessing code to run efficiently on an embedded device

Who can apply

• Train machine learning models at Ema
• Develop state-of-the-art algorithms in one or all of the following areas: Prompt engineering for LLM models, Fine tuning models, Training open source models, large-scale distributed training,
• Comparing and benchmarking performance of different models
• Optimize deep neural networks and the associated preprocessing/postprocessing code to run efficiently on an embedded device
• Conduct analysis that includes data gathering, data transformation, data processing and analysis
• Work with large complex data sets, solve difficult non-routine analysis problems, and apply advanced analytical methods
• Build and prototype analysis pipelines iteratively to provide insights at scale
• You must be currently enrolled in a full-time degree program in Computer Science or related field graduating by June next year

About Ema Unlimited

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