Remote ML Engineer: Frontier AI Safety & Evaluation

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

Benefits offered by this job

Fully remote

Health benefits

PTO and holidays

Conferences & training

Annual bonus

Job summary

10a Labs is seeking a Machine Learning Engineer with 3–5+ years of experience to design, build, evaluate, and deploy advanced ML systems across safety, security, and intelligence applications.

You will work across multimodal classification, model distillation, and agentic workflows, collaborating with researchers, software engineers, red teamers, and subject‑matter experts to deliver production‑ready systems.

Qualifications

• 3–5+ years of professional experience building and deploying machine learning systems.
• Strong proficiency in Python and ML frameworks (PyTorch/TensorFlow).
• Experience with multiple modalities: CV and NLP.
• Experience with production ML deployments.
• Experience designing evaluation methodologies and metrics.
• Experience with MLOps tools and cloud platforms (GCP preferred).
• Familiarity with model distillation, synthetic data generation, RL, or AI evaluation research is preferred.

Responsibilities

• Design, train, evaluate, and deploy ML models across text, image, audio, and multimodal domains.
• Develop and improve classification systems for safety, security, abuse detection, and intelligence applications.
• Conduct experiments to benchmark, evaluate, and compare AI models, including LLMs and multimodal systems.
• Contribute to model distillation, optimization, and fine‑tuning for performance and deployability.
• Design evaluation pipelines, metrics, and testing frameworks to measure model capabilities, reliability, and safety.
• Build agentic systems and automated workflows for evaluation, red teaming, research, and large‑scale experimentation.
• Own ML projects from initial research and prototyping through production deployment and monitoring.
• Partner with software engineers to productionize ML systems and support ongoing improvements.
• Provide technical expertise and guidance across client engagements and internal research initiatives.

Skills

Curiosity and rigor

Collaborative work

Clear communication

Proactive & autonomous

Tools

Python

PyTorch

TensorFlow

Docker

Kubernetes

MLflow

CI/CD for ML

Google Cloud Platform (GCP)

Job description

10a Labs is seeking a Machine Learning Engineer with 3–5+ years of experience to design, build, evaluate, and deploy advanced ML systems across safety, security, and intelligence applications.

You will work across multimodal classification, model distillation, and agentic workflows, collaborating with researchers, software engineers, red teamers, and subject‑matter experts to deliver production‑ready systems.