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Information Technology 🏒 Full Time ⭐️ Verified

Senior AI Research Engineer

Nexus Future Labs
San Francisco
Estimated Salary
USD 160.000 – USD 220.000
Live Update
14 Mei 2026
Deadline
14 Mei 2027

Job Description

Shape the Future of 2026 and Beyond

Nexus Future Labs is pioneering the next generation of artificial intelligence. We are seeking a visionary Senior AI Research Engineer to lead our research initiatives into Generative AI, Large Language Models, and Autonomous Systems. If you are passionate about pushing the boundaries of what's possible and building scalable solutions for the year 2026, we want to hear from you.

In this role, you will bridge the gap between theoretical research and practical application, working alongside top-tier talent to create intelligent systems that redefine human-machine interaction.

Responsibilities

  • Research & Development: Design and implement cutting-edge algorithms for Large Language Models (LLMs) and multimodal AI systems.
  • Model Optimization: Improve model inference speed and reduce latency for real-time edge applications.
  • Prototype Creation: Build and iterate on proof-of-concept (PoC) models to solve complex business challenges.
  • Collaboration: Partner with product teams and data scientists to translate research findings into deployable features.
  • Documentation: Maintain comprehensive documentation of research methodologies, experiments, and results.
  • Mentorship: Guide junior researchers and engineers in best practices for AI model training and evaluation.

Qualifications

  • Education: Master’s or Ph.D. in Computer Science, Machine Learning, or a related field (PhD preferred).
  • Experience: 5+ years of professional experience in AI/ML research or software engineering.
  • Technical Skills: Proficiency in Python, PyTorch, TensorFlow, and Hugging Face Transformers.
  • Mathematical Foundation: Strong understanding of linear algebra, calculus, probability, and statistics.
  • Problem Solving: Demonstrated ability to tackle ambiguous problems and derive innovative solutions.
  • Communication: Excellent written and verbal communication skills for presenting complex technical concepts.

Required Skills

Python PyTorch TensorFlow Machine Learning Deep Learning NLP Generative AI Large Language Models CUDA Linux Agile Research Methodology

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