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Information Technology 🏢 Full Time ⭐️ Verified

Senior AI Research Scientist - Next Gen Systems

Apex Future Dynamics
San Francisco
Estimated Salary
USD 180.000 – USD 260.000
Live Update
12 Mei 2026
Deadline
12 Mei 2027

Job Description

Are you ready to define the architecture of the future?

Apex Future Dynamics is on a mission to pioneer breakthrough technologies that will define the landscape of 2026 and beyond. We are seeking a visionary Senior AI Research Scientist to lead our advanced machine learning initiatives. In this role, you won't just be building models; you will be architecting the intelligence that powers the next generation of autonomous systems and cognitive computing.

We offer a competitive compensation package, equity options, and the opportunity to work with a world-class team of engineers and data scientists. Join us in building the future.

Responsibilities

  • Architect Next-Gen Models: Design and implement cutting-edge artificial intelligence algorithms focusing on generative models and large-scale neural networks.
  • Research Leadership: Lead independent research projects aimed at solving complex problems in natural language processing and computer vision.
  • Cross-Functional Collaboration: Partner with product engineering teams to translate theoretical research into scalable, production-ready software solutions.
  • Publication & Patents: Publish high-impact research papers in top-tier conferences and secure intellectual property for the company.
  • Mentorship: Guide junior researchers and data scientists, fostering a culture of innovation and technical excellence within the R&D department.
  • Performance Optimization: Continuously optimize model inference speed and accuracy to meet real-time operational requirements.

Qualifications

  • Education: PhD in Computer Science, Mathematics, Statistics, or a related field (or equivalent practical experience).
  • Technical Expertise: Deep understanding of deep learning frameworks (PyTorch, TensorFlow, JAX) and strong proficiency in Python.
  • Experience: 5+ years of professional experience in AI/ML research, preferably in a high-growth tech environment.
  • Mathematical Foundation: Solid grasp of linear algebra, calculus, and probability theory required for advanced model optimization.
  • Communication: Excellent written and verbal communication skills, with the ability to present complex technical concepts to diverse audiences.
  • Problem Solving: Proven track record of troubleshooting complex algorithmic challenges and driving projects from conception to deployment.

Required Skills

Python PyTorch TensorFlow Deep Learning Machine Learning NLP Computer Vision MLOps CUDA Distributed Systems

Ready to Take This Challenge?

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