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Information Technology 🏢 Full Time ⭐️ Verified

Senior AI Engineer - 2026 Innovation Lab

QuantumLeap Technologies
San Francisco
Estimated Salary
USD 180.000 – USD 250.000
Live Update
16 Mei 2026
Deadline
16 Mei 2027

Job Description

Join QuantumLeap Technologies' elite 2026 Innovation Lab at the forefront of artificial intelligence development. We're seeking visionary engineers to build groundbreaking AI systems that will redefine industries by 2026. This role offers unparalleled opportunities to work with cutting-edge technologies in a collaborative, future-focused environment where your ideas directly shape tomorrow's solutions.

Our competitive benefits package includes equity grants, unlimited PTO, and a $10,000 annual innovation stipend for personal projects. Located in the heart of San Francisco's tech district, our state-of-the-art facility fosters creativity and breakthrough thinking.

Responsibilities

  • Lead development of next-gen AI models for autonomous systems and predictive analytics
  • Architect scalable machine learning pipelines processing petabytes of real-time data
  • Mentor junior engineers while conducting peer reviews for AI/ML code quality
  • Collaborate with research teams to publish findings in top-tier AI conferences
  • Optimize model performance for edge deployment in IoT environments
  • Drive ethical AI initiatives ensuring fairness and transparency in all systems
  • Represent QuantumLeap at industry forums and tech summits

Qualifications

  • MS/PhD in Computer Science, AI, or related field with 5+ years experience
  • Expertise in deep learning frameworks (PyTorch/TensorFlow) and MLOps
  • Published research in neural networks or reinforcement learning
  • Proficiency with distributed computing (Spark, Kubernetes) and cloud platforms
  • Strong background in computer vision or NLP for high-impact applications
  • Experience leading cross-functional AI projects from concept to deployment
  • Demonstrated ability to translate complex technical concepts for diverse audiences

Required Skills

Machine Learning Deep Learning Python TensorFlow PyTorch AWS Kubernetes MLOps Computer Vision NLP Reinforcement Learning

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