Senior ML Engineer (Fully Remote)

Smart Working; United States; A distancia; USD 140.000 - 210.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Remote-first culture

Top-rated on Glassdoor

Descripción de la vacante

Smart Working seeks engineers who bridge ML and platform/backend engineering to productionize models with rigorous evaluation and provenance. The role emphasizes translating AI capabilities into observable, reliable system components.

You will implement automated pipelines, track model and data provenance, and monitor compute cost and latency to meet strict quality and latency thresholds in production deployments.

Formación

• Proven track record at the intersection of Machine Learning, MLOps, and Platform/Backend Engineering.
• Deep understanding of evaluation metrics for generative AI, LLMs, and speech models.
• Strong hands-on experience with Docker, Kubernetes, and modern orchestration frameworks.

Responsabilidades

• Refactor and upgrade ML models, including NLP, generative AI, and transcription, into production-ready modular contracts.
• Define and automate strict evaluation pipelines using golden datasets.
• Implement tracking for model, prompt, and input data provenance, plus telemetry for compute cost and latency.

Conocimientos

ML

MLOps

Platform engineering

Herramientas

Docker

Kubernetes

Descripción del empleo

• Bridge the gap between applied machine learning and robust platform engineering.
• Translate AI capabilities into reliable and observable system components.
• Ensure ML models meet strict quality, cost, and latency thresholds before production.

Key Responsibilities:

• Refactor and upgrade ML models, including NLP, generative AI, and transcription, into production-ready modular contracts.
• Define and automate strict evaluation pipelines using golden datasets.
• Implement tracking for model, prompt, and input data provenance, plus telemetry for compute cost and latency.

Requirements:

• Proven track record at the intersection of Machine Learning, MLOps, and Platform/Backend Engineering.
• Deep understanding of evaluation metrics for generative AI, LLMs, and speech models.
• Strong hands‑on experience with Docker, Kubernetes, and modern orchestration frameworks.

Smart Working

Smart Working connects skilled professionals with outstanding global teams and products for full‑time, long‑term roles. It is a remote-first company known as one of the highest-rated workplaces on Glassdoor, fostering a genuine community that values growth and well‑being.