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Information Technology 🏢 Full Time ⭐️ Verified

Lead AI Research Scientist - 2026 Vision

Nexus Horizon
San Francisco
Estimated Salary
USD 180.000 – USD 250.000
New
Live Update
28 Juni 2026
Deadline
28 Jun 2027

Job Description

Shape the Future with Nexus Horizon

We are pioneering the technologies that will define the year 2026 and beyond. Nexus Horizon is seeking a visionary Lead AI Research Scientist to spearhead our advanced artificial intelligence initiatives. In this role, you will bridge the gap between theoretical breakthroughs and scalable production systems, focusing on long-term forecasting and ethical AI integration.

Join us in building the infrastructure for a smarter, more connected world.

Responsibilities

  • Strategic Roadmapping: Develop and execute a comprehensive technical roadmap for 2026, identifying emerging AI trends and integrating them into our core architecture.
  • R&D Leadership: Lead a high-performance team of researchers in developing novel machine learning models, particularly in Generative AI and Predictive Analytics.
  • Prototyping: Design and prototype cutting-edge solutions that solve complex problems at scale, ensuring high efficiency and low latency.
  • Collaboration: Partner with product and engineering teams to translate research findings into deployable products and features.
  • Publication: Author high-impact research papers and patents to maintain Nexus Horizon's thought leadership in the tech industry.
  • Compliance: Ensure all AI models adhere to ethical guidelines and regulatory standards set for future operational environments.

Qualifications

  • Education: PhD in Computer Science, Artificial Intelligence, Machine Learning, or a related quantitative field.
  • Experience: Minimum of 5+ years of experience in a senior research role within a top-tier tech company or academic institution.
  • Technical Skills: Proficiency in Python, PyTorch, TensorFlow, and experience with large language models (LLMs).
  • Future-Forward Thinking: Demonstrated ability to anticipate technological shifts and adapt research strategies accordingly.
  • Communication: Exceptional ability to communicate complex technical concepts to non-technical stakeholders and cross-functional teams.
  • Leadership: Proven track record of mentoring junior researchers and managing research budgets.

Required Skills

Python PyTorch TensorFlow Machine Learning Deep Learning AI Ethics NLP Cloud Architecture Research Leadership

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