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Senior AI/ML Engineer (2026 Visionary)

Nexus Horizon Technologies
San Francisco
Estimated Salary
USD 180.000 – USD 250.000
New
Live Update
16 Mei 2026
Deadline
16 Mei 2027

Job Description

Welcome to Nexus Horizon Technologies, where we are architecting the future of human-machine interaction. As we approach the technological tipping point of 2026, we are seeking a visionary Senior AI/ML Engineer to lead our R&D initiatives in Generative AI and Autonomous Systems.

In this role, you will not just write code; you will define the ethical frameworks and architectural blueprints for the next generation of intelligent agents. You will work in a high-performance environment, pushing the boundaries of Large Language Models (LLMs) and Neuromorphic computing. If you are passionate about the intersection of artificial intelligence and real-world impact, we want to hear from you.

Why Join Us?
- Competitive equity package and 401k matching.
- Work with cutting-edge hardware and cloud infrastructure.
- Flexible remote and hybrid work options.

Responsibilities

  • Architect and deploy scalable Generative AI models tailored for 2026 market demands and latency requirements.
  • Lead research initiatives in Neuromorphic computing and synthetic data generation to enhance model robustness.
  • Establish rigorous AI governance frameworks to ensure ethical deployment of autonomous agents.
  • Collaborate cross-functionally with product and engineering teams to translate complex technical requirements into viable product features.
  • Optimize transformer architectures for edge devices and real-time inference pipelines.
  • Conduct technical mentorship and code reviews to foster a culture of excellence within the AI team.

Qualifications

  • Master’s or Ph.D. in Computer Science, Machine Learning, or a related quantitative field.
  • Extensive experience with PyTorch, TensorFlow, and the Hugging Face Transformers library.
  • Proven track record of deploying Large Language Models (LLMs) into production environments with high availability.
  • Strong proficiency in Python, C++, and distributed systems design.
  • Experience with MLOps pipelines, model versioning, and A/B testing frameworks.

Required Skills

Python PyTorch TensorFlow Machine Learning Deep Learning NLP LLMs MLOps Distributed Systems C++ SQL

Ready to Take This Challenge?

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