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Machine Learning Engineer

Apiphany.ai· Engineering
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Hybrid (San Francisco)full-timePosted 7mo ago

About the role

Develop and implement advanced machine learning models to tackle complex problems in the physical world, focusing on physics, design constraints, and real-world performance tradeoffs.

Responsibilities

  • Develop and implement advanced machine learning models.
  • Design systems that can reason about complex engineering data.
  • Build AI that understands physics, design constraints, and real-world performance tradeoffs.

Qualifications

  • Expert-level programming skills in Python.
  • Solid understanding of deep learning and NLP applications.
  • Deep understanding of large language models (LLMs).

Skills

Required:Python programmingDeep learningLarge Language Models (LLMs)

Benefits

  • Visa Sponsorship
  • Hybrid work: 3 days in San Francisco office
  • 401(k) plan
  • Medical, Dental, and Vision insurance coverage
  • Snacks at the office
  • Paid Time Off (PTO): Flexible vacation policy
Last updated Apr 23, 2026. Interested? Apply on the company site.

About Apiphany.ai

Billions of engineering & manufacturing data points made actionable

Manufacturing organizations operate on complex and fragmented systems, demanding a blend of technical expertise and strategic planning to ensure products are delivered on time, with high quality, and within budget.

manufacturingengineeringdata analyticsAI
Company profileWebsite

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