Machine Learning Engineer

• Take technical leadership of ML initiatives, working closely with scientists, engineers, and product stakeholders to deliver AI-driven solutions that directly support strategic business objectives.
• Design, deploy and iterate over ML services for diverse data types (e.g., audio, text), while proactively anticipating performance bottlenecks driving continuous improvements.
• Brainstorm and design technical roadmaps in partnership with the AI Platform team, identifying and addressing platform and MLOps bottlenecks, and designing scalable GPU optimization strategies that balance performance, cost, and reliability.
• Research, architect, and deploy LLM-powered information retrieval solutions (eg. RAG) to deliver accurate and scalable results in complex, multilingual product environments; champion industry-leading frameworks and evangelize their adoption across the organization.
• Lead efforts to improve team effectiveness by evolving internal frameworks, optimizing workflows, and fostering a culture of operational excellence in collaboration with the AI Platform team.
• Architect, deploy, and maintain high-throughput, reliable data pipelines to support training-set curation and data-annotation tooling.
• Work alongside other machine learning professionals at various seniority levels and report directly into the Head of Machine Learning & Data Science.
• Pair industry-leading ML rigor with pragmatic delivery, making smart trade-offs to ship value quickly and iterate fast.

Senior Machine Learning Engineer

AI Engineer

Senior Machine Learning Engineer

Lead AI Engineer

AI Engineer

Staff Engineer, AI Infrastructure, MLOps