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Senior AI Research Engineer (Generative AI)

Nexus Future Systems
San Francisco
Estimated Salary
USD 180.000 – USD 280.000
Live Update
28 Juni 2026
Deadline
28 Jun 2027

Job Description

Are you ready to define the future of intelligence? Nexus Future Systems is seeking a visionary Senior AI Research Engineer to lead our cutting-edge Generative AI initiatives. As we march towards 2026, we are building the next generation of autonomous agents and multimodal models that will redefine human-computer interaction.

Join a team of world-class researchers and engineers who are passionate about pushing the boundaries of what is possible. You will have the autonomy to experiment, the resources to build, and the impact to change the world.

Why Join Us?

  • Work on state-of-the-art Large Language Models (LLMs).
  • Competitive equity and a comprehensive benefits package.
  • Flexible remote-first policy with hubs in San Francisco and Austin.
  • Access to top-tier compute infrastructure.

Responsibilities

  • Model Development: Design, train, and fine-tune large-scale generative models using transformer architectures.
  • Research: Publish novel research papers and implement state-of-the-art techniques in production environments.
  • Optimization: Optimize model inference speed and reduce latency for real-time applications.
  • Collaboration: Partner with product managers and engineering teams to translate research into scalable products.
  • Code Review: Maintain high standards of code quality and architectural integrity across the ML platform.

Qualifications

  • Education: PhD or Master’s degree in Computer Science, Mathematics, or a related field with a focus on AI/ML.
  • Experience: 5+ years of professional experience in machine learning research or software engineering.
  • Technical Skills: Proficiency in Python, PyTorch, TensorFlow, and Hugging Face.
  • Mathematics: Strong understanding of linear algebra, calculus, and probability theory.
  • Communication: Excellent written and verbal communication skills for technical documentation and presentations.

Required Skills

Python PyTorch TensorFlow Machine Learning Deep Learning NLP LLM Generative AI Natural Language Processing CUDA Docker Kubernetes Research Stanford MIT

Ready to Take This Challenge?

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