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Information Technology 🏢 Full Time ⭐️ Verified

AI/ML Engineer - 2026 Tech Vision

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

Job Description

Join Nexus Innovations at the forefront of technological transformation as we pioneer AI solutions for 2026 and beyond. We're seeking a visionary AI/ML Engineer to architect and deploy cutting-edge models that will redefine industries. Our collaborative environment fosters innovation while tackling real-world challenges in autonomous systems, predictive analytics, and generative AI. Enjoy competitive compensation, equity, and unparalleled growth opportunities in San Francisco's dynamic tech ecosystem.

Responsibilities

  • Design, develop, and deploy scalable ML pipelines for next-gen autonomous systems
  • Lead research and implementation of generative AI models (LLMs, diffusion models)
  • Optimize deep learning architectures for edge deployment in IoT ecosystems
  • Collaborate with cross-functional teams to translate business needs into AI solutions
  • Implement MLOps best practices for model monitoring and lifecycle management
  • Pioneer ethical AI frameworks and bias mitigation techniques
  • Drive innovation through participation in AI research symposiums and patent filings

Qualifications

  • MS/PhD in Computer Science, AI, or related field with 5+ years industry experience
  • Expertise in Python, TensorFlow/PyTorch, and distributed ML frameworks
  • Proven track record deploying production-grade NLP/CV models
  • Familiarity with quantum computing applications in AI optimization
  • Strong background in reinforcement learning for autonomous systems
  • Experience with cloud platforms (AWS/GCP/Azure) and serverless architectures
  • Published research in top-tier AI conferences (NeurIPS, ICML, CVPR)
  • Entrepreneurial mindset with startup or scaling company experience

Required Skills

Python TensorFlow PyTorch Machine Learning Deep Learning NLP Computer Vision MLOps Reinforcement Learning Quantum Computing AWS GCP

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