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Senior AI/ML Engineer

InnovateAI Labs
San Francisco
Estimated Salary
USD 160.000 – USD 220.000
New
Live Update
18 Mei 2026
Deadline
18 Mei 2027

Job Description

Join InnovateAI Labs, a pioneer in next-generation artificial intelligence, to shape the technological landscape of 2026. We're seeking a visionary Senior AI/ML Engineer to architect and deploy cutting-edge machine learning solutions that will redefine industries. Collaborate with world-class researchers to transform theoretical breakthroughs into scalable, real-world applications at the intersection of quantum computing and neural networks.

Our San Francisco hub offers a dynamic environment where your expertise will directly influence AI ethics frameworks, autonomous system development, and human-AI symbiosis initiatives. This role requires a blend of deep technical prowess and strategic innovation to build the intelligent systems that will power the next decade.

Responsibilities

  • Design and implement advanced ML models using transformer architectures and quantum-inspired algorithms
  • Lead development of ethical AI governance frameworks and bias mitigation protocols
  • Architect real-time inference pipelines for multimodal AI systems (vision, language, sensor fusion)
  • Collaborate with quantum computing teams to hybridize classical and quantum ML approaches
  • Optimize model performance for edge deployment in autonomous systems and IoT networks
  • Mentor junior engineers in emerging AI paradigms and responsible AI practices
  • Publish research in top-tier conferences and contribute to open-source AI frameworks

Qualifications

  • PhD in Computer Science/Machine Learning or equivalent with 5+ years industry experience
  • Expertise in PyTorch/TensorFlow with production-level deployment of LLMs
  • Published research in NeurIPS/ICML/ICLR on quantum machine learning or federated learning
  • Proficiency in MLOps tools (Kubeflow, MLflow) and cloud-native AI architectures
  • Strong background in AI ethics, fairness metrics, and regulatory compliance (GDPR/CCPA)
  • Experience with multimodal systems combining NLP, computer vision, and time-series analysis
  • Track record of open-source contributions to major AI frameworks

Required Skills

Python TensorFlow PyTorch Quantum Computing MLOps LLMs NLP Computer Vision Ethics in AI Multimodal Systems Kubernetes AWS/GCP/Azure

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