Remote ML Engineer - AI Safety & Evaluation Expert

10a Labs; Seattle (WA); On-site; USD 130,000 - 200,000; Full time

Benefits offered by this job

Comprehensive health, dental, and vision coverage

Performance-based annual bonus

Support for professional development and conferences

Generous PTO

Job summary

10a Labs is looking for a Machine Learning Engineer with 3–5+ years of experience to design and deploy advanced machine learning systems. This role includes the full ML lifecycle, from dataset development to deployment and monitoring, with an emphasis on safety and security applications.

The ideal candidate will thrive in a collaborative environment and have a strong foundation in ML frameworks such as PyTorch and TensorFlow. The position is fully remote and offers a competitive salary along with comprehensive health benefits.

Qualifications

• 3–5+ years of experience in building and deploying machine learning systems.
• Strong background in Python and familiarity with ML frameworks like PyTorch or TensorFlow.
• Experience across multiple modalities, particularly in NLP or Computer Vision.

Responsibilities

• Design, train, evaluate, and deploy ML models.
• Develop classification systems for safety and security applications.
• Conduct experiments to benchmark and evaluate AI models.

Skills

Machine Learning

Python

PyTorch

TensorFlow

Cloud Platforms

MLOps

Natural Language Processing

Computer Vision

Tools

Docker

Kubernetes

CI/CD

MLflow

Job description

10a Labs is looking for a Machine Learning Engineer with 3–5+ years of experience to design and deploy advanced machine learning systems. This role includes the full ML lifecycle, from dataset development to deployment and monitoring, with an emphasis on safety and security applications.

The ideal candidate will thrive in a collaborative environment and have a strong foundation in ML frameworks such as PyTorch and TensorFlow. The position is fully remote and offers a competitive salary along with comprehensive health benefits.