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Principal AI Research Engineer - 2026 Labs

2026 Labs
San Francisco
Estimated Salary
USD 180.000 – USD 280.000
New
Live Update
4 Juni 2026
Deadline
4 Jun 2027

Job Description

2026 Labs is pioneering the next era of Artificial General Intelligence (AGI). We are looking for a visionary Principal AI Research Engineer to lead our core research initiatives. As we define the technological landscape of the future, you will be at the forefront of developing scalable, safe, and powerful AI systems. If you are driven by the challenge of solving complex problems and building the infrastructure for tomorrow, this is your opportunity to shape the future.

We offer a highly competitive compensation package, equity participation, and a remote-first culture that values innovation and autonomy.

Responsibilities

  • Lead the research and development of cutting-edge AI models, focusing on Generative AI and Multi-Agent systems.
  • Design novel algorithms to improve model efficiency, accuracy, and safety standards.
  • Collaborate with cross-functional teams of data scientists, engineers, and product managers to translate research into production-ready solutions.
  • Establish best practices for model evaluation, monitoring, and deployment in high-scale environments.
  • Present research findings to technical and non-technical stakeholders, including executive leadership.
  • Mentor junior researchers and engineers, fostering a culture of continuous learning and technical excellence.

Qualifications

  • PhD or Master’s degree in Computer Science, Mathematics, or a related technical field.
  • 10+ years of experience in AI/ML research or a comparable senior engineering role.
  • Proven track record of publishing in top-tier conferences (NeurIPS, ICML, ICLR) or delivering significant industry impact.
  • Expert proficiency in Python, PyTorch, and modern deep learning frameworks.
  • Strong background in Natural Language Processing (NLP), Reinforcement Learning, or Computer Vision.
  • Experience with distributed systems and high-performance computing infrastructure.
  • Demonstrated leadership in guiding technical strategy and mentoring teams.

Required Skills

Python PyTorch TensorFlow Machine Learning Deep Learning NLP AI Research Distributed Systems MLOps

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