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Machine Learning Engineer, Enterprise GenAI

Machine Learning Engineer for Enterprise GenAI platform, training models.
Scale AI
On-Site
United States
USD 176,000 - 300,000
Job Description
Scale is seeking a Machine Learning Engineer to join their Enterprise GenAI team. This role involves working directly with clients to train ML models for their business needs, ranging from AI cybersecurity firewalls to genomic models. The Machine Learning Engineer will collaborate with product and research teams to identify opportunities for services and integrate human feedback into product lines. They will also create techniques to integrate tool-calling into production-serving LLMs and work closely with customers to prototype and build deep learning models for multi-modal content understanding problems.

The role involves:
  • Training state-of-the-art models in production.
  • Working with product and research teams to identify opportunities.
  • Integrating human feedback and assisted evaluation into product lines.
  • Creating techniques to integrate tool-calling into production-serving LLMs.
  • Prototyping and building new deep learning models.

Requirements:
  • 1-3 years of model training, deployment, and maintenance experience.
  • Strong skills in NLP, LLMs, and deep learning.
  • Solid background in algorithms, data structures, and object-oriented programming.
  • Experience with a cloud technology stack (e.g., AWS or GCP).
  • PhD or Masters in Computer Science or a related field.

The role offers:
  • Comprehensive health, dental, and vision coverage.
  • Retirement benefits.
  • A learning and development stipend.
  • Generous PTO.
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Scale AI

Scale AI accelerates the development of AI applications across industries. The company's products power advanced language models, generative models, and computer vision models. Scale AI serves generative AI companies, government agencies, and enterprises, assisting organizations in building and deploying AI. Committed to inclusivity and equal opportunity, Scale AI fosters professional growth, offering opportunities to contribute to cutting-edge AI projects and collaborate with experts in the field.

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