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Information Technology 🏢 Full Time ⭐️ Verified

AI Research Scientist - 2026 Horizon

Nebula Future Systems
San Francisco
Estimated Salary
USD 180.000 – USD 250.000
Live Update
11 Mei 2026
Deadline
11 Mei 2027

Job Description

At Nebula Future Systems, we are not just predicting the future; we are architecting it. We are looking for a visionary AI Research Scientist to join our elite team and spearhead the development of next-generation artificial intelligence technologies. In this role, you will define the algorithms that will power our platforms for years to come, pushing the boundaries of what is possible in machine learning and deep learning. If you are passionate about solving complex problems and want to be at the forefront of the 2026 tech revolution, we want to hear from you.

Responsibilities

  • Design and implement cutting-edge machine learning models and algorithms to solve unstructured business problems.
  • Lead research initiatives focused on Large Language Models (LLMs) and autonomous agents.
  • Collaborate with cross-functional engineering and product teams to translate theoretical research into scalable production systems.
  • Establish best practices for data privacy, ethics in AI, and model interpretability.
  • Conduct rigorous performance testing and optimization of neural networks to ensure low-latency inference.
  • Mentor junior data scientists and contribute to the technical roadmap for future product releases.
  • Publish research findings in top-tier academic conferences and journals to maintain thought leadership.

Qualifications

  • Ph.D. in Computer Science, Machine Learning, or a related quantitative field.
  • Minimum of 5 years of professional experience in applied AI research or software engineering.
  • Deep expertise in Python, PyTorch, TensorFlow, or JAX.
  • Strong background in Natural Language Processing (NLP), Computer Vision, or Reinforcement Learning.
  • Proven track record of shipping high-impact AI products to market.
  • Excellent communication skills with the ability to explain complex technical concepts to diverse audiences.
  • Experience with cloud infrastructure (AWS, GCP, or Azure) and MLOps pipelines.

Required Skills

Python PyTorch TensorFlow Machine Learning Deep Learning NLP Computer Vision MLOps AWS GCP Data Science

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