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Description

You will work with a multidisciplinary team to actively participate in the data-model co-design and co-development practice. Your responsibilities will extend to the design and development of a comprehensive data generation and curation framework for foundation models. You will also be responsible to create robust model evaluation pipelines, integral to the continuous improvement and assessment of foundation models. Additionally, your role will entail an in-depth analysis of multi-modal data to underscore its influence on model performance. Your work may span a variety of applications, including but not limited to:

- Collaborate with global engineering teams on the ML tool development

- Build innovative ML tooling

- Conduct research on the latest implementations and fine-tuning methods of LLMs, enabling their application to specific business scenarios

- Enhancing current products and future platforms with multi-modal perception data - Uncovering patterns in data, setting performance targets

- Contribute to a culture of innovation and collaboration, fostering a positive and productive team environment.

Minimum Qualifications

- Bachelor’s degree or above in Computer Science, Mathematics, Statistics, Artificial Intelligence, Machine Learningor or related field

- Machine Learning (ML), with expertise in Large Language Models (LLMs)

- 3 years of experience in machine learning

Preferred Qualifications

- Strong understanding of large language models (LLMs)

- Proven experience in building and deploying machine learning models

- Passion for developing innovative solutions that impact the software development lifecycle

- Excellent communication and collaboration skills, with the ability to effectively work within a diverse global team

- Native-level English proficiency (reading, writing, speaking)

- A strong work ethic and commitment to delivering high-quality results