Senior Machine Learning Systems Engineer

• Collaborate with software engineers, data scientists, and product managers to solve complex problems
• Lead projects from technical design through launch
• Partner with teams to achieve impactful results
• Deliver robust ML solutions to build AI features reaching millions
• This includes curating ML datasets, fine-tuning open-source LLMs, or accessing proprietary LLMs
• Mentor junior members of the team

• Extensive experience building Machine Learning and AI solutions (4+ years)
• Proven experience developing, deploying, and maintaining end-to-end ML systems, including data engineering, model serving, and monitoring
• Expert proficiency with GenAI frameworks and tools, including developing and fine-tuning large language models (LLMs) and building retrieval-augmented generation (RAG) systems
• Expert proficiency in Python and ML frameworks like PyTorch, TensorFlow, or JAX
• Experience implementing MLOps, CI/CD pipelines, and automation for continuous training, deployment, and monitoring of ML models

Familiarity with Java and Kotlin is beneficial

• Health and wellbeing resources
• Paid volunteer days