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Senior AI Research Scientist (2026 Focus)

Apex Horizon Systems
San Francisco
Estimated Salary
USD 165.000 – USD 225.000
New
Live Update
12 Juli 2026
Deadline
12 Jul 2027

Job Description

We are on the vanguard of the technological revolution, preparing to deploy our flagship AI infrastructure by 2026. As a Senior AI Research Scientist at Apex Horizon Systems, you will not just write code; you will shape the fundamental algorithms that define the future of human-machine interaction.

In this high-impact role, you will bridge the gap between theoretical breakthroughs and scalable production systems. We are looking for a visionary engineer who is passionate about pushing the boundaries of Generative AI, Large Language Models (LLMs), and autonomous decision-making frameworks.

Why Join Us?

  • Work on cutting-edge projects with a direct impact on the 2026 roadmap.
  • Competitive compensation package with equity options.
  • Flexible remote-first culture with access to top-tier computing resources.

Responsibilities

  • Design and implement state-of-the-art deep learning architectures for next-generation AI models.
  • Lead research initiatives focused on improving model efficiency, accuracy, and interpretability for the 2026 release cycle.
  • Collaborate with product teams to translate complex research findings into deployable software solutions.
  • Optimize training pipelines and inference latency for edge devices and cloud infrastructure.
  • Mentor junior researchers and engineers, fostering a culture of innovation and continuous learning.
  • Contribute to the academic and technical community through publications and open-source contributions.

Qualifications

  • Ph.D. or Master’s degree in Computer Science, Mathematics, Statistics, or a related quantitative field.
  • Minimum of 5 years of professional experience in AI/ML research or applied machine learning.
  • Strong proficiency in Python, PyTorch, TensorFlow, or JAX.
  • Deep understanding of Natural Language Processing (NLP), Computer Vision, or Reinforcement Learning.
  • Experience with distributed training systems (e.g., Ray, Horovod) and cloud platforms (AWS, GCP).
  • Proven track record of publishing in top-tier conferences (NeurIPS, ICML, ACL, CVPR).

Required Skills

Python PyTorch TensorFlow NLP Machine Learning Deep Learning Distributed Systems AWS GCP Research AI Architecture

Ready to Take This Challenge?

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