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Senior AI Research Engineer

Nexus Future Labs
San Francisco
Estimated Salary
USD 160.000 – USD 240.000
New
Live Update
31 Mei 2026
Deadline
31 Mei 2027

Job Description

We are looking for a visionary Senior AI Research Engineer to join our elite team at Nexus Future Labs. As a pioneer in next-generation intelligence, you will be responsible for developing scalable algorithms that will define the technological landscape of 2026 and beyond. You will work at the intersection of machine learning, neural architecture search, and generative AI, pushing the boundaries of what is possible.


Why Join Us?
β€’ Work on cutting-edge projects that shape the future of global industries.
β€’ Competitive compensation and equity packages.
β€’ Flexible remote-first culture with premium office amenities in the heart of San Francisco.

Responsibilities

  • Design and implement state-of-the-art deep learning models for large-scale data processing.
  • Conduct rigorous research to advance the field of artificial general intelligence (AGI) concepts.
  • Collaborate with cross-functional teams to integrate AI solutions into production environments.
  • Mentor junior researchers and engineers, fostering a culture of innovation and technical excellence.
  • Publish high-impact research papers in top-tier conferences and journals.
  • Optimize model performance for real-time inference and edge deployment scenarios.
  • Stay abreast of the latest technological trends in the AI ecosystem.

Qualifications

  • PhD or Master’s degree in Computer Science, Mathematics, or a related technical field.
  • 5+ years of professional experience in machine learning and artificial intelligence.
  • Expert proficiency in Python, PyTorch, and TensorFlow.
  • Strong background in Natural Language Processing (NLP) or Computer Vision.
  • Proven track record of delivering scalable software solutions in a fast-paced environment.
  • Excellent communication skills, with the ability to translate complex technical concepts for diverse audiences.
  • Experience with cloud infrastructure (AWS, GCP, or Azure).

Required Skills

Python PyTorch TensorFlow Machine Learning Deep Learning NLP Computer Vision AWS Research Leadership

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