Real-Time Materials AI/ML Engineer

Atomscale; Boston (MA); On-site; USD 100,000 - 130,000; Full time

Job summary

A tech-focused company based in the US is seeking an Applied AI/ML Engineer to support the development and deployment of machine learning models for advanced materials processing. The ideal candidate will have strong skills in Python and deep learning frameworks, and will work closely with a passionate team to drive data-driven optimizations with atomic-scale precision. This role offers an exciting opportunity to contribute to transformative technology applications in the high-tech industry.

Qualifications

• Experience with Rust is a plus.
• Familiarity with scientific datasets is a plus, but not required.

Responsibilities

• Design, train, validate, and deploy machine learning models.
• Develop and maintain pipelines for model training and validation.
• Implement model validation and performance monitoring systems.
• Optimize models for accuracy and scalability.
• Build data ingestion and preprocessing pipelines.
• Collaborate to integrate features into platforms.
• Evaluate and apply state-of-the-art AI/ML techniques.

Skills

Python proficiency

Deep learning frameworks (PyTorch, JAX)

AI/ML operations frameworks

Containerization and orchestration (Docker)

Excellent communication skills

Education

PhD or MS in materials science, physics, or computer science

Job description

A tech-focused company based in the US is seeking an Applied AI/ML Engineer to support the development and deployment of machine learning models for advanced materials processing. The ideal candidate will have strong skills in Python and deep learning frameworks, and will work closely with a passionate team to drive data-driven optimizations with atomic-scale precision. This role offers an exciting opportunity to contribute to transformative technology applications in the high-tech industry.