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Senior AI Research Scientist (2026 Vision)

Nexus Future Labs
San Francisco
Estimated Salary
USD 170.000 – USD 240.000
New
Live Update
28 Juni 2026
Deadline
28 Jun 2027

Job Description

Shape the Future of Technology.

Nexus Future Labs is pioneering the next generation of artificial intelligence solutions designed to thrive in the era of 2026 and beyond. We are seeking a visionary Senior AI Research Scientist to lead our advanced research initiatives. In this role, you will be at the helm of developing scalable, ethical, and transformative AI models that will define the future of human-computer interaction.

As a key member of our elite research team, you will work on groundbreaking projects that require not just technical expertise, but a deep passion for the future. We offer a competitive compensation package, equity options, and the opportunity to work in a state-of-the-art facility in the heart of San Francisco.

Responsibilities

  • Lead the research and development of state-of-the-art deep learning models and neural architectures.
  • Define technical roadmaps for AI projects, ensuring alignment with our long-term 2026 strategic vision.
  • Collaborate with product and engineering teams to translate theoretical research into scalable, production-ready software.
  • Publish high-impact academic papers and present findings at top-tier global conferences.
  • Mentor and guide junior researchers and data scientists, fostering a culture of innovation and excellence.
  • Optimize existing algorithms for speed, accuracy, and efficiency in real-world environments.

Qualifications

  • PhD or Master's degree in Computer Science, Machine Learning, or a related quantitative field.
  • Minimum of 5 years of hands-on experience in AI research, with a strong portfolio of published work.
  • Expert proficiency in Python, PyTorch, or TensorFlow, and experience with big data technologies (Spark, Hadoop).
  • Deep understanding of Natural Language Processing (NLP) or Computer Vision (CV) methodologies.
  • Strong problem-solving skills and the ability to navigate ambiguity in fast-paced, emerging technology environments.
  • Excellent verbal and written communication skills, capable of bridging the gap between complex research and business applications.

Required Skills

Python PyTorch TensorFlow Deep Learning Machine Learning NLP Computer Vision Data Science Research AI Architecture Scalability

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