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Information Technology 🏢 Full Time ⭐️ Verified

AI Research Scientist - Future Tech & AI Innovation

Nexus Future Labs
San Francisco
Estimated Salary
USD 180.000 – USD 250.000
New
Live Update
23 Mei 2026
Deadline
23 Mei 2027

Job Description

We are on a mission to engineer the technological landscape of 2026 and beyond. Nexus Future Labs is seeking a visionary AI Research Scientist to join our elite R&D division. You will be responsible for developing cutting-edge algorithms that power the next generation of autonomous systems.

Why You’ll Love It Here:

  • Work on groundbreaking projects that define the future of Artificial Intelligence.
  • Competitive compensation package including equity and performance bonuses.
  • Access to state-of-the-art hardware and cloud infrastructure.
  • A collaborative culture that values innovation and risk-taking.

If you are passionate about pushing the boundaries of what is possible with Machine Learning and Deep Learning, we want to hear from you.

Responsibilities

  • Research, design, and implement novel machine learning models and neural architectures.
  • Collaborate with software engineers to deploy scalable AI solutions into production environments.
  • Analyze complex datasets to derive actionable insights and improve model accuracy.
  • Stay current with the latest academic research and industry trends in AI.
  • Write and present technical documentation and research papers to internal and external stakeholders.
  • Optimize existing algorithms for high performance and low latency in real-time applications.

Qualifications

  • Ph.D. or Master’s degree in Computer Science, Mathematics, Statistics, or a related technical field.
  • 3+ years of hands-on experience in AI/ML research or a related applied science role.
  • Strong proficiency in programming languages, primarily Python and C++.
  • Deep understanding of Deep Learning frameworks such as PyTorch or TensorFlow.
  • Proven track record of publishing research in top-tier conferences (NeurIPS, ICML, etc.) is a plus.
  • Excellent problem-solving skills and ability to work in a fast-paced, agile environment.

Required Skills

Python PyTorch TensorFlow Machine Learning Deep Learning NLP Computer Vision Research AI Natural Language Processing Model Optimization

Ready to Take This Challenge?

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