Requirements:

Bachelor's degree or equivalent practical experience.
2 years of experience with software development in one or more programming languages (e.g., C++, Python, JAX-RS), or 1 year of experience with an advanced degree in an industry setting.
Experience in computer vision and machine learning.

Nice to haves:

Experience with Multimodal Machine Learning.
Experience in Generative AI.

What you'll be doing:

Design, develop, test, deploy, and maintain robust MLOps pipelines and models that are integral to the team's mission.
Collaborate closely with researchers and other engineers to transition computer vision and large language model (LLM) research into scalable, production-ready systems.
Contribute to a culture of operational excellence, focusing on the reliability and scalability of AI systems, and promoting data-driven decision-making throughout the model lifecycle.
Write clean, maintainable, and well-tested code for complex technical problems, with an emphasis on model serving, monitoring, and infrastructure-as-code.
Manage your individual project priorities, focusing on modeling and research-to-production transitions, while contributing to the team's collective goals and continuous learning.

Perks and benefits:

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