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Information Technology 🏒 Full Time ⭐️ Verified

Senior AI/ML Engineer

Nexus Future Systems
San Francisco
Estimated Salary
USD 180.000 – USD 260.000
New
Live Update
5 Juli 2026
Deadline
5 Jul 2027

Job Description

Are you ready to architect the intelligent systems of tomorrow? Nexus Future Systems is a premier AI research lab pioneering breakthroughs for the 2026 technological landscape. We are looking for a visionary Senior AI/ML Engineer to join our elite team in San Francisco.


In this role, you won't just maintain existing models; you will design and deploy cutting-edge generative AI architectures that solve complex, real-world problems. We are committed to pushing the boundaries of what is possible, and we need a technical leader who thrives in ambiguity and innovation.


Why Join Us?

  • Work on next-gen Large Language Models and Computer Vision systems.
  • Competitive equity package and performance bonuses.
  • Flexible remote-first hybrid work environment.
  • Access to state-of-the-art hardware and research tools.

Responsibilities

  • Design, train, and deploy scalable machine learning models using Python and deep learning frameworks.
  • Lead the architecture for 2026-ready data pipelines, ensuring high availability and low latency.
  • Collaborate with cross-functional teams of researchers, engineers, and product managers.
  • Mentor junior engineers and conduct code reviews to maintain high engineering standards.
  • Optimize models for production environments, focusing on efficiency and inference speed.
  • Stay abreast of the latest research in NLP and Computer Vision to integrate novel techniques.

Qualifications

  • Master’s or PhD in Computer Science, Mathematics, or a related technical field.
  • 5+ years of professional experience in AI/ML engineering with a focus on deep learning.
  • Strong proficiency in Python, PyTorch, TensorFlow, or JAX.
  • Experience with cloud platforms (AWS, GCP, or Azure) and containerization (Docker, Kubernetes).
  • Proven track record of shipping production-grade machine learning applications.
  • Excellent problem-solving skills and ability to communicate complex technical concepts clearly.

Required Skills

Python PyTorch TensorFlow Machine Learning Deep Learning NLP Computer Vision AWS Docker Kubernetes Scikit-learn

Ready to Take This Challenge?

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