ML Engineer

Requirements:

• 5+ years of industry experience with a graduate degree in computer science or engineering with rigorous coursework in artificial intelligence, machine learning, data science or a related field.
• Code fluently in Python and Go (or C++ or Java) with a solid understanding of data structures and algorithms.
• Hands-on experience with building deep learning models and taking them to production at large scale, including complex software engineering in delivering end-to-end AI projects.
• Hands-on experience in building Agentic workflows and using Thrive in fast-moving, high-ownership environments.
• Are excited to learn from experienced mentors and level up quickly.

Bonus Points For:

• Hands-on experience with building models in Pytorch or other frameworks to solve complex problems in NLP or other domains, including fine-tuning LLMs or building agentic workflows around them.
• Familiarity with AWS and GCP and experience with systems such as Kafka, Redis, Postgres, etc.
• Hands-on experience with MLOps for training, inferencing, evaluation, monitoring and deployment hackathon wins, research papers, or open-source contributions.