Remote ML Engineer - Safety & AI Evaluation

Aisafety

Washington (District of Columbia)

On-site

USD 130,000 - 200,000

Full time

14 days+
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Benefits offered by this job

Performance-based annual bonus
Support for professional development
Generous PTO and paid holiday schedule

Job summary

Aisafety is seeking a Machine Learning Engineer to design and deploy advanced ML systems for safety and intelligence applications. The role involves working on multimodal classification systems and collaboration across engineering and research teams.

With 3-5+ years experience in ML and strong proficiency in Python, you will advance AI safety and security initiatives. The position is fully remote and based in the U.S., offering a competitive salary range of $130K–$200K, plus generous benefits.

Qualifications

  • 3–5+ years of professional experience building and deploying machine learning systems.
  • Strong proficiency in Python and modern machine learning frameworks.
  • Experience working across multiple modalities, with expertise in computer vision or NLP.

Responsibilities

  • Design, train, evaluate, and deploy machine learning models across multiple domains.
  • Develop and improve classification systems for safety and security applications.
  • Conduct experiments to benchmark and compare AI models including LLMs.

Skills

Machine learning system deployment
Python programming
Experience with MLOps tools
Computer Vision
Natural Language Processing
Cloud platforms (GCP, AWS, Azure)

Tools

PyTorch
TensorFlow
Docker
Kubernetes
MLflow

Job description

Aisafety is seeking a Machine Learning Engineer to design and deploy advanced ML systems for safety and intelligence applications. The role involves working on multimodal classification systems and collaboration across engineering and research teams.

With 3-5+ years experience in ML and strong proficiency in Python, you will advance AI safety and security initiatives. The position is fully remote and based in the U.S., offering a competitive salary range of $130K–$200K, plus generous benefits.

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