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Senior AI/ML Engineer (Vision 2026)

Nexus Future Systems
San Francisco
Estimated Salary
USD 180.000 – USD 250.000
New
Live Update
2 Juli 2026
Deadline
2 Jul 2027

Job Description

Are you ready to architect the future of artificial intelligence? Nexus Future Systems is looking for a visionary Senior AI/ML Engineer to lead our Vision 2026 initiative. We are building the next generation of autonomous systems, and we need a technical leader who thrives in ambiguity and pushes the boundaries of what is possible.

In this role, you will not just write code; you will define the architecture for scalable, ethical, and high-performance machine learning models that will power our products for the next decade. Join a team of world-class engineers and researchers dedicated to solving humanity's most complex challenges through technology.

Why join us? We offer competitive equity packages, top-tier health benefits, and the opportunity to work on cutting-edge projects that redefine industry standards.

Responsibilities

  • Design and implement scalable machine learning pipelines and infrastructure using cloud-native technologies (AWS/GCP).
  • Lead research and development efforts for advanced NLP and Computer Vision models targeting the 2026 roadmap.
  • Collaborate with cross-functional teams (Product, Engineering, Ethics) to translate business requirements into technical solutions.
  • Optimize existing models for speed, accuracy, and resource efficiency.
  • Mentor junior engineers and conduct code reviews to ensure architectural best practices.
  • Establish and enforce ML governance, data privacy, and security standards.

Qualifications

  • PhD or Master's degree in Computer Science, Machine Learning, or a related technical field.
  • 5+ years of experience in building production-grade AI/ML systems.
  • Expert proficiency in Python, PyTorch, or TensorFlow.
  • Strong understanding of MLOps, CI/CD, and containerization (Docker, Kubernetes).
  • Proven track record of deploying models to high-traffic environments.
  • Excellent communication skills with the ability to explain complex technical concepts to non-technical stakeholders.

Required Skills

Python PyTorch TensorFlow MLOps Machine Learning NLP Computer Vision AWS Docker Kubernetes SQL

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