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Information Technology 🏒 Full Time ⭐️ Verified

Senior AI Research Scientist

2026 Labs
San Francisco
Estimated Salary
USD 180.000 – USD 250.000
New
Live Update
7 Juli 2026
Deadline
7 Jul 2027

Job Description

Join the Pioneers of the Future.

At 2026 Labs, we are not merely predicting the future; we are architecting it. We are looking for a visionary Senior AI Research Scientist to lead our cutting-edge initiatives in Generative AI and Autonomous Systems. In this role, you will bridge the gap between theoretical research and real-world application, working on projects that will define the technological landscape of the decade.

We offer a competitive compensation package, equity options, and the opportunity to work with a world-class team of engineers, designers, and strategists. If you are passionate about pushing the boundaries of machine learning and want to leave a lasting impact, we want to hear from you.

Responsibilities

  • Research & Development: Design, implement, and optimize novel deep learning architectures and algorithms.
  • Leadership: Mentor a team of talented data scientists and engineers, fostering a culture of innovation and excellence.
  • Product Integration: Collaborate closely with product and engineering teams to translate complex research into scalable, production-ready AI solutions.
  • Publication: Author and present high-impact research papers at top-tier conferences (NeurIPS, ICML, ICLR) and contribute to open-source communities.
  • Performance Optimization: Drive efficiency improvements in model training, inference speed, and resource utilization.
  • Strategic Planning: Identify emerging trends in AI and define the technical roadmap for 2026 Labs.

Qualifications

  • Education: PhD or Master’s degree in Computer Science, Statistics, Mathematics, or a related field.
  • Experience: 5+ years of experience in applied AI/ML, with a focus on Deep Learning or Natural Language Processing.
  • Technical Skills: Proficiency in Python, PyTorch, TensorFlow, or JAX. Strong understanding of distributed computing and cloud infrastructure (AWS/GCP).
  • Soft Skills: Exceptional communication skills, with the ability to explain complex technical concepts to non-technical stakeholders.
  • Problem Solving: Demonstrated ability to tackle ambiguous problems and drive projects from conception to completion.

Required Skills

Artificial Intelligence Machine Learning Deep Learning Python PyTorch TensorFlow NLP Computer Vision AWS Data Science Research

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