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Information Technology 🏢 Full Time ⭐️ Verified

Senior AI Engineer - 2026 Vision

NexusAI Labs
San Francisco
Estimated Salary
USD 180.000 – USD 250.000
Live Update
13 Mei 2026
Deadline
13 Mei 2027

Job Description

Join NexusAI Labs at the forefront of technological evolution as we pioneer the next wave of AI-driven solutions for 2026. We're seeking a visionary Senior AI Engineer to architect intelligent systems that will redefine industries. This role offers unparalleled opportunities to shape the future of machine learning while collaborating with world-class researchers in our state-of-the-art San Francisco innovation hub.

You'll lead transformative projects in autonomous systems, generative AI, and predictive analytics, directly contributing to our 2026 roadmap for human-AI symbiosis. We provide comprehensive benefits including equity, wellness stipends, and continuous learning resources.

Responsibilities

  • Design and implement scalable ML pipelines for real-time data processing
  • Architect next-gen neural networks for multimodal AI applications
  • Lead cross-functional teams in deploying production-ready AI solutions
  • Conduct cutting-edge research in reinforcement learning and generative models
  • Optimize AI systems for efficiency, security, and ethical compliance
  • Develop proprietary frameworks for human-AI collaboration interfaces
  • Present findings to executive stakeholders and industry conferences

Qualifications

  • 8+ years in AI/ML engineering with 3+ in leadership roles
  • Expertise in PyTorch/TensorFlow and distributed computing frameworks
  • PhD or equivalent in Computer Science/AI or proven track record
  • Published research in top-tier AI conferences (NeurIPS, ICML, etc.)
  • Experience with MLOps tools (Kubeflow, MLflow, Airflow)
  • Strong background in ethics and responsible AI development
  • Proficiency in cloud platforms (AWS/GCP/Azure) and containerization

Required Skills

Machine Learning Deep Learning Python TensorFlow PyTorch AI Ethics MLOps Reinforcement Learning Generative AI Distributed Systems

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