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Senior AI Research Engineer (2026 Roadmap)

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

Job Description

We are at the precipice of a technological revolution. Nexus Future Systems is seeking a visionary Senior AI Research Engineer to define our 2026 Product Roadmap. You will be the architect of our next-generation generative AI systems, pushing the boundaries of what is possible to shape the future of human-machine interaction.

In this pivotal role, you will lead high-impact R&D initiatives, mentor a team of brilliant engineers, and ensure our technology remains years ahead of the competition. If you are passionate about building the tools that will define the era of 2026 and beyond, we want to hear from you.

Responsibilities

  • Spearhead the research and development of next-generation Large Language Models (LLMs) and autonomous agents.
  • Define and execute the technical strategy for our flagship 2026 product releases.
  • Optimize model performance for scalability, latency, and energy efficiency.
  • Collaborate with cross-functional teams to translate ambitious 2026 goals into actionable technical specifications.
  • Lead code reviews, architecture design, and mentorship for junior researchers and engineers.
  • Publish patents and white papers to establish thought leadership in the AI community.

Qualifications

  • PhD or Master’s degree in Computer Science, Machine Learning, or a related technical field.
  • 7+ years of professional experience in AI/ML engineering, with a focus on NLP or Generative AI.
  • Deep expertise in Python, PyTorch, TensorFlow, and distributed systems.
  • Proven track record of shipping production-level AI models at scale.
  • Strong understanding of AI ethics, safety, and responsible deployment practices.
  • Excellent communication skills with the ability to present complex technical concepts to non-technical stakeholders.

Required Skills

AI Machine Learning Python PyTorch NLP LLMs Generative AI Research Engineering San Francisco

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