Production AI/ML Engineer — Global Impact & Ownership

Latitude

San Francisco (CA)

Sur place

USD 140 000 - 210 000

Plein temps

Il y a 3 jours
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Avantages offerts par ce poste

Daily lunches (onsite)
Ownership from day one
Mentorship from senior engineers

Résumé du poste

Brain Co. is building AI-native operating systems for regulated institutions, deploying state-of-the-art models to automate complex real-world workflows. The role focuses on turning research breakthroughs into practical AI solutions that scale globally, including collaborations with government and industry teams.

You will design and deploy advanced models, optimize pipelines, and work with leaders across sectors to deliver AI-powered outcomes that improve efficiency and value for customers.

Qualifications

  • Bachelor's degree in Computer Science, Engineering, Machine Learning, Data Science, or related field expected Spring 2027.
  • Hands-on experience building GenAI-focused applications (agents, reasoning workflows, or RAG).
  • Experience with ML frameworks such as PyTorch, Jax or TensorFlow.

Responsabilités

  • Design and deploy advanced LLM models to tackle real-world problems across healthcare, government, energy and other sectors.
  • Build scalable data pipelines, optimize models for performance and accuracy, and prepare them for production.

Connaissances

GenAI apps
LLM deployment
PyTorch
Jax
TensorFlow
Data structures
Algorithms
Software engineering

Formation

Bachelor's degree in CS/Engineering/ML/Data Science (Spring 2027)

Outils

PyTorch
Jax
TensorFlow

Description du poste

Brain Co. is building AI-native operating systems for regulated institutions, deploying state-of-the-art models to automate complex real-world workflows. The role focuses on turning research breakthroughs into practical AI solutions that scale globally, including collaborations with government and industry teams.

You will design and deploy advanced models, optimize pipelines, and work with leaders across sectors to deliver AI-powered outcomes that improve efficiency and value for customers.

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