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Information Technology 🏒 Full Time ⭐️ Verified

AI/ML Architect (Future Tech)

Nexus Future Labs
San Francisco
Estimated Salary
USD 185.000 – USD 260.000
New
Live Update
4 Juli 2026
Deadline
4 Jul 2027

Job Description

Are you ready to define the technological landscape of 2026? Nexus Future Labs is seeking a visionary AI/ML Architect to spearhead our research into next-generation generative models and autonomous systems.

In this role, you will bridge the gap between theoretical AI research and scalable production engineering. We are building the core intelligence for the next decade, and we need a leader who can architect systems that are not just functional, but revolutionary.

Why join us?

  • Work on cutting-edge projects that will define the future of human-computer interaction.
  • Competitive compensation and equity packages.
  • Top-tier talent in a collaborative environment.

Responsibilities

  • Architect and deploy scalable machine learning pipelines for real-time data processing.
  • Lead research initiatives in Large Language Models (LLMs) and multimodal AI.
  • Optimize neural network architectures for low-latency, high-throughput environments.
  • Collaborate with quantum computing researchers to integrate hybrid classical-quantum algorithms.
  • Mentor and lead engineering teams to foster a culture of technical excellence.
  • Define technical roadmaps and ensure alignment with long-term strategic goals.

Qualifications

  • Master’s or Ph.D. in Computer Science, Artificial Intelligence, or a related field.
  • 7+ years of experience in software engineering and machine learning.
  • Deep expertise in Python, PyTorch, and TensorFlow.
  • Proven track record of leading high-impact AI projects from conception to production.
  • Experience with distributed systems (Kubernetes, Docker) and cloud infrastructure (AWS, GCP).
  • Strong understanding of ethical AI, bias mitigation, and responsible deployment practices.

Required Skills

Python PyTorch TensorFlow Machine Learning Deep Learning NLP LLMs Kubernetes AWS GCP Docker CUDA C++ System Design Leadership

Ready to Take This Challenge?

Make sure your resume is ready. Submit your application now before the deadline.

Apply Now

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