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Senior AI Research Engineer - 2026 Vision

Nexus Future Labs
San Francisco
Estimated Salary
USD 180.000 – USD 250.000
New
Live Update
3 Juni 2026
Deadline
3 Jun 2027

Job Description

Are you ready to define the future of artificial intelligence?

Nexus Future Labs is pioneering the next generation of intelligent systems. As we map out our trajectory for 2026, we are seeking a visionary Senior AI Research Engineer to lead the development of scalable, ethical, and high-impact AI models. This is not just a job; it is a mission to shape the technological landscape of the coming decade.

In this role, you will bridge the gap between theoretical research and production-grade engineering, working with a world-class team of data scientists and engineers.

Responsibilities

  • Lead the research and development of proprietary machine learning algorithms targeting 2026 scalability standards.
  • Design and implement deep learning architectures for large-scale natural language processing and predictive modeling.
  • Collaborate with product teams to translate complex research findings into actionable, market-ready features.
  • Publish cutting-edge research in top-tier AI conferences and journals to establish Nexus Future Labs as an industry thought leader.
  • Optimize existing models for speed, accuracy, and resource efficiency on heterogeneous hardware.
  • Mentor junior researchers and engineers, fostering a culture of innovation and continuous learning.

Qualifications

  • Ph.D. or Master’s degree in Computer Science, Mathematics, or a related quantitative field.
  • 5+ years of experience in applied machine learning or AI research roles.
  • Strong proficiency in Python, PyTorch, or TensorFlow.
  • Proven track record of publishing at prestigious venues (NeurIPS, ICML, ACL) or leading open-source contributions.
  • Deep understanding of transformer architectures, LLMs, or reinforcement learning.
  • Experience deploying models to production environments (Kubernetes, AWS, GCP).

Required Skills

Python PyTorch TensorFlow Machine Learning Deep Learning NLP Research AI San Francisco Engineering

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