Machine Learning Engineer

• Fine-tune state-of-the-art models and design evaluation frameworks
• Bring AI features into production and ensure models are safe, trustworthy, and impactful at scale
• Run and manage open-source models efficiently, optimizing for cost and reliability
• Ensure high performance and stability across GPU, CPU, and memory resources
• Monitor and troubleshoot model inference to maintain low latency and high throughput
• Collaborate with regional teams across product, engineering, operations, infrastructure and data to build and scale AI solutions
• Collaborate with engineers to implement scalable and reliable model serving solutions
• Prototype, test, and iterate to deliver impactful AI applications

ML Ops Engineer

Senior Scientist, Deep Learning Engineer – Data-Rich Experimentation

AI Developer – Machine Learning, Vision Engineer

MLOps Engineer

GenAI Engineer, Agentic Flows – Evaluation

Senior Manager – Principal AI Engineer