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Senior AI Research Engineer: 2026 Vision

Chronos Systems
San Francisco
Estimated Salary
USD 150.000 – USD 220.000
New
Live Update
24 Mei 2026
Deadline
24 Mei 2027

Job Description

We are looking for a visionary Senior AI Research Engineer to join our elite team at Chronos Systems. As we accelerate towards a future defined by artificial intelligence, you will play a pivotal role in architecting the algorithms that will define the landscape of 2026 and beyond.

In this role, you won't just write code; you will define the future. You will be at the forefront of generative AI, optimizing neural networks to solve complex, real-world problems. If you are passionate about the intersection of data science and human potential, this is your opportunity to build the infrastructure for tomorrow.

Why join us?
We offer a competitive compensation package, comprehensive benefits, and the unique chance to work on projects that will impact the world in the year 2026 and the decades to follow.

Responsibilities

  • Architect and implement cutting-edge Machine Learning models specifically designed for the 2026 product roadmap.
  • Lead the research and development of Large Language Models (LLMs) and multimodal AI systems.
  • Optimize existing algorithms for speed, scalability, and accuracy to meet enterprise-grade standards.
  • Mentor a team of junior data scientists and engineers, fostering a culture of innovation and technical excellence.
  • Collaborate with cross-functional product teams to translate technical requirements into actionable AI solutions.
  • Stay ahead of the curve by researching emerging trends in AI, quantum computing, and edge AI.

Qualifications

  • PhD or Master’s degree in Computer Science, Mathematics, or a related technical field.
  • 5+ years of professional experience in Machine Learning, Deep Learning, or AI research.
  • Expert proficiency in Python, PyTorch, TensorFlow, or JAX.
  • Strong understanding of Natural Language Processing (NLP) and computer vision architectures.
  • Experience deploying models to production environments using cloud infrastructure (AWS, GCP, or Azure).
  • Demonstrated ability to work in a fast-paced, agile environment.

Required Skills

Python PyTorch TensorFlow Machine Learning Deep Learning NLP LLM Cloud Computing AWS GCP SQL Agile Data Structures Algorithms

Ready to Take This Challenge?

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