Real-Time ML Engineer for Live Sports Officiating

owl; Boulder (CO); Presencial; USD 150.000 - 210.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Medical, dental, vision for you and/de

401(k) with company match

Wellness stipend

Unlimited PTO

Equity

Descripción de la vacante

Owl AI in Boulder, CO seeks an experienced applied ML engineer to join our small but mighty team. You will own ML problems end-to-end, from research through live inference, powering our real-time officiating and analytics platforms.

Design, train, deploy, and monitor models with latency-conscious pipelines, collaborating with research and platform engineers to ship reliable production systems with strong observability.

Formación

• Five to ten years of engineering experience in applied ML and supporting infrastructure.
• Strong Python proficiency for model development, data processing, and production ML code.
• Experience training and deploying models in PyTorch, TensorFlow, or JAX.
• Proven track record taking ML models from experimentation to production and operating them.
• Experience building production data pipelines and systems.

Responsabilidades

• Design, train, fine-tune, and evaluate ML models for real-time officiating and analytics.
• Own ML deployment paths, CI/CD for training/inference, and model versioning.
• Build data pipelines, experiment tracking, and monitoring for production models.

Conocimientos

Python

ML model deployment

Communication

Herramientas

PyTorch

TensorFlow

JAX

Descripción del empleo

Owl AI in Boulder, CO seeks an experienced applied ML engineer to join our small but mighty team. You will own ML problems end-to-end, from research through live inference, powering our real-time officiating and analytics platforms.

Design, train, deploy, and monitor models with latency-conscious pipelines, collaborating with research and platform engineers to ship reliable production systems with strong observability.