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Senior AI/ML Engineer - Generative AI (2026 Roadmap)

Nexus Future Labs
San Francisco
Estimated Salary
USD 180.000 – USD 260.000
Live Update
12 Mei 2026
Deadline
12 Mei 2027

Job Description

We are building the infrastructure for the next generation of Artificial General Intelligence. Nexus Future Labs is seeking a visionary Senior AI/ML Engineer to lead our Generative AI initiatives. In this role, you will architect scalable systems for Large Language Models (LLMs) and multimodal AI agents, pushing the boundaries of what is possible in 2026 and beyond.

Why Join Us?

  • Work on cutting-edge projects that define the future of human-computer interaction.
  • Competitive equity package and top-tier compensation.
  • Flexible remote-first policy with a vibrant San Francisco hub.

If you are passionate about Deep Learning, NLP, and building ethical AI systems, we want to hear from you.

Responsibilities

  • Design, train, and fine-tune state-of-the-art foundation models for enterprise applications.
  • Build and optimize high-performance inference pipelines for real-time LLM deployment.
  • Collaborate with cross-functional teams to integrate AI capabilities into consumer products.
  • Research and implement novel architectures to improve model efficiency and accuracy.
  • Establish best practices for MLOps, data governance, and model monitoring.
  • Conduct rigorous testing and validation to ensure model safety and reliability.

Qualifications

  • PhD or Master’s degree in Computer Science, Mathematics, or a related field (or equivalent professional experience).
  • 5+ years of experience in Machine Learning, Deep Learning, or Natural Language Processing.
  • Strong proficiency in Python and deep learning frameworks (PyTorch or TensorFlow).
  • Extensive experience with transformer architectures, LLMs, and prompt engineering.
  • Experience with cloud platforms (AWS, GCP, or Azure) and containerization (Docker/Kubernetes).
  • Excellent problem-solving skills and ability to thrive in a fast-paced, experimental environment.

Required Skills

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

Ready to Take This Challenge?

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