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The Research Engineer will drive cutting-edge research into product pipelines, focusing on optimizing machine learning systems and innovative data curation strategies.

The Software Engineer will lead full product development for data curation tools, collaborate with teams, and maintain high-quality standards in product functionality and design.

As the first Product Manager at DatologyAI, you'll develop the product strategy for an enterprise data curation platform, working closely with engineering and research teams to align product features with market needs. You'll manage the end-to-end product roadmap and engage with enterprise clients to refine the product offering.

Guide customers in deploying and optimizing DatologyAI's platform across various environments, ensuring technical success while collaborating with Sales and Engineering.

This role involves leading post-training data curation for foundation models, designing algorithms for data generation and improvement, and unifying pre-training and post-training curation to maximize model performance.

The Designer will create marketing assets, manage brand guidelines, support product design, and collaborate across teams to enhance visual communication for DatologyAI.

Design and maintain reliable, secure cloud infrastructure using AWS and other cloud providers. Optimize CI/CD pipelines and ensure high availability.

This role involves leading pre-sales engagements, designing scalable solutions for customers, and evaluating ML model performance to enhance training efficiency.

The Research Scientist will explore improving deep learning models via training data interventions, collaborate with engineers and focus on customer-driven research outcomes.

As a Data Platform Engineer, you'll design and maintain scalable data systems, partner with teams on product direction, and ensure system reliability and security.