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Future Tech Lead: 2026 Roadmap | San Francisco

Nexus Horizon AI
San Francisco
Estimated Salary
USD 180.000 – USD 260.000
Live Update
14 Mei 2026
Deadline
14 Mei 2027

Job Description

Shape the Future with Nexus Horizon AI

Nexus Horizon AI is pioneering the 2026 niche of advanced artificial intelligence and autonomous systems. We are looking for a visionary Senior AI Research Scientist to join our elite team in San Francisco. You will be responsible for architecting the next generation of intelligent agents and ensuring our technology remains at the forefront of the industry.

What You'll Do

β€’ Lead the research and development of cutting-edge AI models targeting the 2026 roadmap.

β€’ Design scalable algorithms that push the boundaries of machine learning.

β€’ Collaborate with cross-functional teams to integrate research into product features.

β€’ Publish high-impact research and mentor junior researchers.

Responsibilities

  • Research Leadership: Spearhead the development of novel neural network architectures and deep learning models.
  • Strategic Innovation: Identify emerging trends in the 2026 tech landscape and integrate them into our core product suite.
  • System Optimization: Improve model performance, latency, and accuracy for real-world deployment.
  • Technical Mentorship: Guide a team of data scientists and engineers, fostering a culture of continuous learning.
  • Stakeholder Communication: Present complex technical findings to executive leadership and product teams.

Qualifications

  • Education: PhD or Master’s degree in Computer Science, Mathematics, or a related technical field.
  • Experience: 5+ years of experience in applied machine learning and AI research.
  • Technical Stack: Proficiency in Python, PyTorch, TensorFlow, and distributed computing (Spark, Kubernetes).
  • Domain Expertise: Strong background in NLP, Computer Vision, or Reinforcement Learning.
  • Problem Solving: Demonstrated ability to solve complex, unstructured problems in high-pressure environments.

Required Skills

Python PyTorch TensorFlow Machine Learning Deep Learning NLP AI Research Big Data San Francisco CA

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