Machine Learning Engineer

📋 Description

• Design scalable, low-latency model-serving infra for LLMs.
• Build APIs and services for real-time conversational workloads.
• Optimize inference for throughput, latency, and cost.
• Architect end-to-end ML pipelines from training to deployment.
• Lead architecture decisions for production AI at scale.

🎯 Requirements

• 1-4 years in ML engineering, backend systems, or distributed infra.
• Proven experience deploying ML models in production.
• Strong Python and/or C++ programming skills.
• Experience with large-scale model serving (LLMs, transformers).
• Deep understanding of distributed systems, API design, and cloud infra.
• Experience with MLOps tools and CI/CD, monitoring, and experiment tracking.

🎁 Benefits

• Diverse medical, dental and vision options.
• 401(k) matching program.
• Unlimited paid time off.
• Parental leave and flexibility for all parents and caregivers.
• Support of country-specific visa needs for international employees in the Bay Area.