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Information Technology 🏢 Full Time ⭐️ Verified

Senior AI/ML Engineer

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

Job Description

Join Nexus Innovations as we pioneer the next wave of artificial intelligence solutions for 2026 and beyond. We're seeking a visionary Senior AI/ML Engineer to architect transformative systems that will redefine industries. You'll collaborate with world-class researchers and engineers in our state-of-the-art San Francisco lab, building scalable machine learning pipelines that push the boundaries of what's possible.

At Nexus, we invest heavily in cutting-edge technology and continuous learning. This role offers unparalleled opportunities to work on generative AI, autonomous systems, and quantum-enhanced algorithms. Our culture emphasizes innovation, autonomy, and impact—where your contributions directly shape the future of human-computer interaction.

Responsibilities

  • Design and implement production-grade ML systems serving 10M+ users
  • Lead research initiatives in generative AI and neural architecture search
  • Collaborate with cross-functional teams to deploy AI solutions at scale
  • Optimize model performance for edge computing and quantum computing environments
  • Mentor junior engineers and establish best practices for AI development lifecycle
  • Drive innovation through participation in industry conferences and open-source projects

Qualifications

  • 5+ years of experience in production ML systems with PyTorch/TensorFlow
  • PhD or MS in Computer Science, Mathematics, or related field
  • Published research in top-tier AI/ML conferences (NeurIPS, ICML, etc.)
  • Expertise in distributed computing frameworks (Spark, Ray, Kubeflow)
  • Strong background in MLOps and CI/CD for ML pipelines
  • Proficiency in quantum computing principles and algorithms
  • Experience with ethical AI frameworks and responsible deployment practices

Required Skills

Machine Learning Deep Learning PyTorch TensorFlow MLOps Quantum Computing Generative AI Distributed Systems Python Research

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