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Information Technology 🏒 Full Time ⭐️ Verified

Senior AI Research Engineer

2026 Technologies
San Francisco
Estimated Salary
USD 180.000 – USD 260.000
New
Live Update
2 Juli 2026
Deadline
2 Jul 2027

Job Description

Join 2026 Technologies – Architecting the Future of Intelligence

At 2026 Technologies, we are not just building software; we are architecting the digital reality of the next decade. As a pioneer in Generative AI and autonomous systems, we are seeking a visionary Senior AI Research Engineer to lead our core model development initiatives. If you are passionate about pushing the boundaries of Large Language Models (LLMs) and Multimodal AI, this is your opportunity to shape the technology landscape of the 2026 era.

We offer a competitive salary, comprehensive benefits, and a dynamic environment where innovation is the only metric that matters.

Responsibilities

  • Advanced Model Development: Design, train, and fine-tune state-of-the-art Large Language Models (LLMs) to solve complex, real-world problems.
  • R&D Leadership: Conduct cutting-edge research in Natural Language Processing (NLP) and Deep Learning to improve model accuracy, efficiency, and scalability.
  • System Optimization: Optimize inference pipelines and reduce latency for high-volume production environments using distributed computing frameworks.
  • Cross-Functional Collaboration: Partner with product managers and engineering teams to translate theoretical research into scalable, user-centric products.
  • Technical Mentorship: Mentor junior engineers and contribute to the technical roadmap for our AI infrastructure and research culture.

Qualifications

  • Education: Ph.D. or Master’s degree in Computer Science, Mathematics, or a related quantitative field, with a strong focus on AI/ML.
  • Experience: 5+ years of experience in applied machine learning, research engineering, or a related technical role.
  • Technical Proficiency: Deep expertise in Python, PyTorch, TensorFlow, and experience with Hugging Face Transformers or similar libraries.
  • Publications: A strong publication record in top-tier AI conferences (NeurIPS, ICML, ACL, ICLR) is highly desirable.
  • Problem Solving: Demonstrated ability to tackle ambiguous technical challenges and deliver robust, production-ready solutions.

Required Skills

Python PyTorch TensorFlow Deep Learning NLP LLM Machine Learning AI Research Hugging Face Distributed Systems

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