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Information Technology 🏢 Full Time ⭐️ Verified

Senior AI Research Scientist: 2026 Vision

Apex Future Systems
San Francisco
Estimated Salary
USD 185.000 – USD 250.000
Live Update
14 Mei 2026
Deadline
14 Mei 2027

Job Description

We are building the infrastructure for tomorrow. As a leader in next-generation autonomous systems, Apex Future Systems is seeking a visionary Senior AI Research Scientist to drive the development of models that will define the industry landscape in 2026 and beyond.

In this high-impact role, you will bridge the gap between theoretical AI breakthroughs and scalable production applications. You will work alongside world-class engineers and data scientists to pioneer advancements in Generative AI, Reinforcement Learning, and Neural Architecture Search.

Why Join Us?

  • Work on cutting-edge technology with a direct impact on the future of human-computer interaction.
  • Competitive compensation package including equity options.
  • Flexible work environment with a focus on autonomy and innovation.

Responsibilities

  • Lead the research and development of novel deep learning architectures optimized for the 2026 computing landscape.
  • Design and implement large-scale training pipelines for generative models, focusing on efficiency and scalability.
  • Conduct rigorous experimentation to improve model accuracy, reduce inference latency, and lower computational costs.
  • Mentor junior researchers and engineers, fostering a culture of technical excellence and continuous learning.
  • Collaborate with product teams to translate technical research into market-leading AI features.
  • Stay abreast of the latest academic trends in NLP, Computer Vision, and Multimodal learning.
  • Publish high-impact papers and contribute to open-source communities.

Qualifications

  • Ph.D. or M.S. in Computer Science, Artificial Intelligence, or a related quantitative field.
  • 7+ years of experience in building and deploying production-grade machine learning systems.
  • Deep expertise in PyTorch, TensorFlow, or JAX, with a strong understanding of distributed training frameworks.
  • Proven track record of publishing in top-tier AI conferences (NeurIPS, ICML, ICLR, ACL).
  • Strong background in Natural Language Processing (NLP) and Large Language Models (LLMs).
  • Experience with model compression and optimization techniques.
  • Excellent problem-solving skills and ability to thrive in a fast-paced, agile environment.

Required Skills

Python PyTorch TensorFlow Large Language Models (LLMs) NLP Deep Learning Distributed Computing Reinforcement Learning SQL Docker Kubernetes

Ready to Take This Challenge?

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