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Senior AI Research Engineer (2026 Vision)

Apex Future Technologies
San Francisco
Estimated Salary
USD 185.000 – USD 250.000
Live Update
30 Juni 2026
Deadline
30 Jun 2027

Job Description

We are on a mission to define the technological landscape of the 2026 era. Apex Future Technologies is seeking a visionary Senior AI Research Engineer to lead our next-generation intelligent systems division. You will be at the forefront of innovation, working on cutting-edge generative models, autonomous agents, and predictive analytics that will power the future of enterprise.


In this role, you will not just implement existing solutions; you will pioneer new methodologies. We offer a highly competitive compensation package, equity grants, and an environment that encourages radical innovation and technical excellence.


Key Highlights:

  • Work on projects that directly impact the trajectory of AI in 2026.
  • Top-tier salary and comprehensive benefits package.
  • Collaborate with a world-class team of engineers and researchers.

Responsibilities

  • Lead the research, design, and implementation of advanced artificial intelligence architectures for the 2026 roadmap.
  • Develop and optimize deep learning models, specifically focusing on Large Language Models (LLMs) and multimodal AI systems.
  • Design scalable data pipelines that support high-velocity training and inference.
  • Conduct rigorous experimentation to improve model accuracy, efficiency, and robustness.
  • Mentor junior engineers and data scientists, fostering a culture of technical excellence and continuous learning.
  • Collaborate with product stakeholders to translate complex research into market-ready features.

Qualifications

  • PhD or Master’s degree in Computer Science, Mathematics, or a related quantitative field.
  • 5+ years of professional experience in AI/ML engineering, with a proven track record of deploying production models.
  • Expert proficiency in Python, PyTorch, TensorFlow, and modern software engineering practices.
  • Deep understanding of distributed computing, cloud infrastructure (AWS/GCP), and MLOps.
  • Strong problem-solving skills and the ability to navigate ambiguity in emerging technology landscapes.

Required Skills

Python PyTorch TensorFlow Machine Learning Deep Learning NLP MLOps AWS Generative AI

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