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Senior AI Research Engineer | Project 2026

Aether Dynamics
San Francisco
Estimated Salary
USD 190.000 – USD 260.000
Live Update
22 Mei 2026
Deadline
22 Mei 2027

Job Description

We are seeking a visionary Senior AI Research Engineer to join our elite Project 2026 initiative. Our mission is to architect the foundational technologies required for the next generation of artificial general intelligence. If you are passionate about pushing the boundaries of neural networks, generative models, and ethical AI, we want to hear from you.

In this role, you will lead the research and development of cutting-edge algorithms designed to solve complex problems with superhuman efficiency. You will work in a high-performance environment, collaborating with top-tier talent to define the roadmap for 2026 and beyond.

Responsibilities

  • Architect Scalable AI Systems: Design and implement robust, scalable neural network architectures for large-scale deployment.
  • R&D Leadership: Lead research initiatives focused on Reinforcement Learning, Natural Language Processing, and Computer Vision.
  • Paper to Production: Translate academic research and cutting-edge papers into production-ready code and frameworks.
  • Model Optimization: Drive efficiency improvements in model training, inference, and resource utilization.
  • Collaboration: Partner with cross-functional teams (engineering, product, and ethics) to integrate AI solutions.
  • Mentorship: Mentor junior engineers and researchers, fostering a culture of innovation and continuous learning.

Qualifications

  • Education: Ph.D. or Master’s degree in Computer Science, Mathematics, or a related technical field.
  • Experience: 5+ years of professional experience in machine learning or artificial intelligence research.
  • Technical Skills: Proficiency in Python, PyTorch, TensorFlow, or JAX. Deep understanding of transformer architectures and large language models.
  • Research: A strong track record of publishing in top-tier conferences (NeurIPS, ICML, ICLR, etc.).
  • Problem Solving: Exceptional ability to troubleshoot complex algorithmic issues and optimize performance.
  • Communication: Excellent written and verbal communication skills for technical documentation and stakeholder presentations.

Required Skills

Python PyTorch TensorFlow Machine Learning Deep Learning Natural Language Processing (NLP) Computer Vision Reinforcement Learning Research System Design

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