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Senior AI Research Engineer (2026 Vision)

Apex Future Systems
San Francisco
Estimated Salary
USD 180.000 – USD 280.000
New
Live Update
24 Mei 2026
Deadline
24 Mei 2027

Job Description

We are on the precipice of a technological revolution. Apex Future Systems is looking for a visionary Senior AI Research Engineer to define the trajectory of our next-gen autonomous agents for the 2026 roadmap.

In this pivotal role, you will bridge the gap between theoretical machine learning breakthroughs and scalable production systems. You will work with a world-class team of engineers, data scientists, and ethicists to build the intelligent infrastructure of tomorrow.

Why join us? We offer competitive equity packages, remote-first flexibility, and the chance to work on problems that matter.

Responsibilities

  • Design and implement cutting-edge neural architectures for general-purpose AI models.
  • Lead high-impact research initiatives focused on LLMs, reinforcement learning, and multimodal processing.
  • Collaborate with product teams to translate research findings into deployable software.
  • Optimize model inference speeds and memory efficiency for edge devices.
  • Establish best practices for reproducible research and MLOps pipelines.
  • Contribute to the ethical framework and safety guidelines for AI deployment.

Qualifications

  • PhD or Master’s degree in Computer Science, Mathematics, or a related quantitative field.
  • 5+ years of experience in research or applied machine learning roles.
  • Strong proficiency in Python, PyTorch, and TensorFlow.
  • Deep understanding of Deep Learning, NLP, or Computer Vision.
  • Experience with large-scale distributed training and optimization.
  • Proven track record of publishing in top-tier conferences (NeurIPS, ICML, ACL).

Required Skills

Python PyTorch TensorFlow Machine Learning Deep Learning NLP Research MLOps Distributed Systems

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