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Senior AI Architect | 2026 Labs

2026 Labs
San Francisco
Estimated Salary
USD 165.000 – USD 230.000
New
Live Update
24 Mei 2026
Deadline
24 Mei 2027

Job Description

Join 2026 Labs, the premier think-tank for next-generation artificial intelligence. We are building the neural infrastructure for tomorrow's enterprises. If you are a visionary engineer passionate about pushing the boundaries of deep learning and generative models, this is your opportunity to define the future.

We are seeking a Senior AI Architect to lead our core research division. You will be responsible for designing scalable machine learning systems, optimizing large language models, and mentoring a team of world-class data scientists. This role offers a unique chance to work on high-impact projects that will shape the technological landscape of 2026 and beyond.

Why Join Us?

  • Work with cutting-edge technology in a high-growth environment.
  • Competitive compensation and equity packages.
  • Flexible remote-first culture with state-of-the-art equipment.
  • Focus on ethical AI development and safety.

Responsibilities

  • Design and implement scalable AI architectures using Python, PyTorch, and TensorFlow.
  • Lead the development and fine-tuning of large language models (LLMs) for enterprise applications.
  • Optimize existing models for reduced latency and higher inference accuracy.
  • Collaborate with cross-functional teams to integrate AI solutions into production environments.
  • Mentor junior data scientists and engineers, conducting code reviews and technical workshops.
  • Stay abreast of the latest advancements in AI research and apply them to our roadmap.

Qualifications

  • PhD or Master’s degree in Computer Science, Mathematics, or a related field.
  • 5+ years of professional experience in machine learning engineering or AI research.
  • Strong proficiency in Python and experience with deep learning frameworks.
  • Proven track record of deploying ML models to production at scale.
  • Deep understanding of neural networks, transformers, and NLP techniques.
  • Excellent problem-solving skills and ability to thrive in a fast-paced startup environment.

Required Skills

Python PyTorch TensorFlow Deep Learning NLP Machine Learning AWS GCP Docker Kubernetes

Ready to Take This Challenge?

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