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Information Technology 🏒 Full Time ⭐️ Verified

Senior Artificial Intelligence Engineer

2026 Labs
San Francisco
Estimated Salary
USD 210.000 – USD 290.000
Live Update
28 Juni 2026
Deadline
28 Jun 2027

Job Description

Are you ready to architect the future of intelligence? 2026 Labs is seeking a visionary Senior Artificial Intelligence Engineer to lead our cutting-edge research division. As we push the boundaries of what is possible in 2026 and beyond, we need a technical expert who can translate theoretical breakthroughs into scalable, production-ready systems.


In this role, you will not just write code; you will define the roadmap for our next-generation neural architectures. Join a team of world-class researchers and engineers dedicated to solving humanity's most complex problems through advanced AI.


Why join us?

  • Work on projects that define the next decade of technology.
  • Competitive equity package and top-tier compensation.
  • Flexible remote-first culture with premium office amenities in the heart of SF.

Responsibilities

  • Lead Model Development: Design, train, and deploy state-of-the-art Large Language Models (LLMs) and generative AI systems.
  • Research Leadership: Publish papers and present findings at top-tier AI conferences (NeurIPS, ICML, etc.).
  • Infrastructure Optimization: Engineer scalable data pipelines and high-performance computing clusters.
  • Mentorship: Guide junior engineers and data scientists, fostering a culture of continuous learning and innovation.
  • Collaboration: Partner with product teams to integrate AI capabilities into consumer-facing applications.
  • Code Review: Maintain high standards of code quality and security across the AI infrastructure stack.

Qualifications

  • Education: Ph.D. or Master’s degree in Computer Science, Mathematics, or a related field.
  • Experience: 5+ years of experience in machine learning engineering or applied research.
  • Technical Stack: Proficiency in Python, PyTorch, TensorFlow, and CUDA.
  • Algorithms: Deep understanding of deep learning architectures, NLP, and reinforcement learning.
  • Problem Solving: Proven track record of solving complex, unstructured problems.
  • Communication: Excellent ability to communicate complex technical concepts to non-technical stakeholders.

Required Skills

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

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