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Information Technology 🏒 Full Time ⭐️ Verified

Senior AI Research Scientist - 2026 Initiative

2026 Technologies
San Francisco
Estimated Salary
USD 180.000 – USD 260.000
Live Update
20 Mei 2026
Deadline
20 Mei 2027

Job Description

Are you ready to engineer the future? 2026 Technologies is seeking a visionary Senior AI Research Scientist to lead our next-generation initiative. We are building the foundational models that will define the technological landscape of the coming decade.

In this role, you will bridge the gap between theoretical research and scalable production systems, pushing the boundaries of what is possible in artificial intelligence. Join a team of elite engineers and data scientists dedicated to solving humanity's hardest challenges through code.

Why join us?

  • Work on cutting-edge Large Language Models (LLMs).
  • Competitive equity package and remote-first flexibility.
  • Access to top-tier hardware and compute resources.

Responsibilities

  • Lead Research Projects: Spearhead the development and optimization of proprietary AI models focusing on reasoning, efficiency, and multimodal capabilities.
  • Model Deployment: Oversee the transition from research prototypes to production-grade APIs and inference engines.
  • Technical Mentorship: Mentor junior researchers and engineers, fostering a culture of innovation and continuous learning within the 2026 squad.
  • Collaboration: Partner with cross-functional teams including product management, engineering, and design to define technical roadmaps.
  • Publication: Contribute to high-impact academic papers and industry conferences to establish thought leadership in the AI community.
  • Performance Optimization: Continuously analyze and optimize model latency, accuracy, and cost-efficiency.

Qualifications

  • Education: PhD or Master’s degree in Computer Science, Mathematics, or a related quantitative field.
  • Experience: 5+ years of experience in applied machine learning, deep learning, or natural language processing.
  • Technical Stack: Proficiency in Python, PyTorch or TensorFlow, and experience with Hugging Face Transformers.
  • Cloud Skills: Strong understanding of cloud infrastructure (AWS, GCP, or Azure) and containerization (Docker, Kubernetes).
  • Problem Solving: Proven track record of solving complex technical problems with innovative solutions.
  • Communication: Excellent ability to articulate complex technical concepts to non-technical stakeholders.

Required Skills

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

Ready to Take This Challenge?

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