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Senior AI Research Engineer - 2026 Vision

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

Job Description

Shape the Future of Intelligence. Nexus Future Labs is seeking a visionary Senior AI Research Engineer to lead our 2026 strategic initiatives. In this role, you will be at the forefront of developing next-generation artificial general intelligence (AGI) architectures that redefine human-machine interaction. If you are passionate about pushing the boundaries of what is possible and want to build the technology of tomorrow, we want to meet you.

We offer a competitive salary, equity package, and the opportunity to work in a cutting-edge environment focused on long-term technological breakthroughs.

Responsibilities

  • Architect Next-Gen Models: Design and implement scalable neural network architectures for LLMs and reinforcement learning agents focused on 2026 benchmarks.
  • Research Leadership: Lead research initiatives to improve model efficiency, reduce inference costs, and enhance hallucination accuracy.
  • Cross-Functional Collaboration: Partner with product teams and engineers to translate theoretical research into production-ready AI solutions.
  • Paper Publication: Author and publish high-impact research papers at top-tier conferences (NeurIPS, ICML, ICLR) to establish industry authority.
  • Optimization: Drive the optimization of training pipelines using distributed computing and novel algorithmic approaches.

Qualifications

  • Education: Ph.D. or Master’s degree in Computer Science, Mathematics, or a related field with a focus on AI/ML.
  • Experience: 5+ years of experience in machine learning research or a similar technical role within a leading tech company.
  • Technical Skills: Proficiency in Python, PyTorch, TensorFlow, and experience with large-scale distributed training systems.
  • Domain Knowledge: Deep understanding of natural language processing, transformers, or generative models.
  • Problem Solving: Demonstrated ability to tackle complex, unstructured problems with innovative solutions.

Required Skills

Python PyTorch TensorFlow Machine Learning Deep Learning NLP Distributed Computing Research

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