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Senior AI/ML Engineer (2026 Vision) - San Francisco, CA

Nexus Horizon AI
San Francisco
Estimated Salary
USD 180.000 – USD 250.000
Live Update
15 Mei 2026
Deadline
15 Mei 2027

Job Description

We are seeking a visionary Senior AI/ML Engineer to lead the development of next-generation autonomous systems for the 2026 era. As a pioneer in Agentic AI and Large Language Models, Nexus Horizon AI is building the infrastructure that will define the future of human-computer interaction. If you are passionate about pushing the boundaries of what is possible in generative AI and are ready to tackle complex challenges at scale, we want to meet you.

Why Join Us?

  • Work on cutting-edge Agentic Workflows and autonomous agents.
  • Competitive equity package and a culture that prioritizes innovation.
  • Top-tier engineering stack and access to the latest GPU clusters.

Responsibilities

  • Architect & Deploy: Design, train, and deploy state-of-the-art Large Language Models (LLMs) and multi-agent systems for real-world enterprise applications.
  • R&D Leadership: Conduct advanced research in Generative AI, Reinforcement Learning, and Natural Language Processing to pioneer novel capabilities.
  • System Optimization: Optimize model inference latency and cost efficiency using techniques such as quantization, pruning, and distillation.
  • Collaboration: Partner with product and engineering teams to translate research breakthroughs into scalable, production-ready software.
  • Mentorship: Guide junior engineers and data scientists, fostering a culture of technical excellence and continuous learning.

Qualifications

  • Education: Master’s or PhD in Computer Science, Mathematics, or a related field (or equivalent practical experience).
  • Experience: 5+ years of professional experience in Machine Learning, Deep Learning, or AI research.
  • Technical Skills: Proficiency in Python, PyTorch, or TensorFlow. Strong understanding of neural networks, transformers, and RAG (Retrieval-Augmented Generation) architectures.
  • Tooling: Experience with cloud platforms (AWS/Azure/GCP), containerization (Docker/Kubernetes), and MLOps pipelines.
  • Problem Solving: Demonstrated ability to solve ambiguous, high-complexity problems with innovative technical solutions.

Required Skills

Python PyTorch TensorFlow Machine Learning Deep Learning NLP LLMs Generative AI MLOps Docker Kubernetes AWS Python PyTorch TensorFlow Machine Learning Deep Learning NLP LLMs Generative AI MLOps

Ready to Take This Challenge?

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