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Information Technology 🏒 Full Time ⭐️ Verified

Principal AI Engineer

2026 Innovations
San Francisco
Estimated Salary
USD 180.000 – USD 260.000
Live Update
17 Mei 2026
Deadline
17 Mei 2027

Job Description

Join 2026 Innovations, a cutting-edge research lab at the forefront of artificial intelligence. We are on a mission to define the technological landscape of the next decade. As a Principal AI Engineer, you will not just build models; you will architect the future of human-computer interaction.

We are looking for a visionary individual who thrives in ambiguity and possesses the technical depth to solve complex, large-scale problems. If you are passionate about Generative AI, Large Language Models, and the possibilities of 2026 and beyond, this is your opportunity to lead.

Why Join Us?

  • Work with state-of-the-art hardware and infrastructure.
  • Competitive compensation package with equity.
  • Flexible remote-first culture with premium office amenities in the heart of SF.
  • Direct impact on the roadmap that shapes the future.

Responsibilities

  • Architect & Deploy: Design and implement scalable, production-ready AI systems and neural architectures for large-scale applications.
  • Research Leadership: Lead research initiatives to explore novel algorithms, focusing on efficiency, accuracy, and ethical AI standards.
  • Model Optimization: Continuously optimize model inference latency and resource utilization using techniques like quantization and pruning.
  • Technical Mentorship: Mentor junior engineers and data scientists, fostering a culture of technical excellence and innovation.
  • Collaboration: Partner with product and engineering teams to translate complex research into tangible business value.

Qualifications

  • Education: Ph.D. or Master’s degree in Computer Science, Mathematics, or a related technical field with 5+ years of industry experience.
  • Core Skills: Deep expertise in Python, PyTorch, TensorFlow, and modern deep learning frameworks.
  • Experience: Proven track record of deploying LLMs or Generative AI models at scale in production environments.
  • Mathematics: Strong foundation in linear algebra, calculus, and statistical modeling.
  • Problem Solving: Ability to tackle ambiguous problems and derive elegant, scalable solutions.

Required Skills

Python PyTorch TensorFlow Machine Learning Deep Learning LLMs Generative AI MLOps SQL Kubernetes AWS

Ready to Take This Challenge?

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