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Information Technology 🏢 Full Time ⭐️ Verified

AI/ML Engineer - Future Vision 2026

QuantumLeap Technologies
San Francisco
Estimated Salary
USD 180.000 – USD 280.000
New
Live Update
4 Juli 2026
Deadline
4 Jul 2027

Job Description

Join QuantumLeap Technologies at the forefront of technological evolution as we build the intelligent systems that will define 2026. We're seeking a visionary AI/ML Engineer to architect next-generation machine learning solutions that transform industries and solve humanity's most complex challenges. In this role, you'll collaborate with elite researchers and product innovators to deploy cutting-edge AI models in autonomous systems, predictive analytics, and human-machine collaboration platforms. Our startup culture offers unparalleled autonomy, competitive equity packages, and direct impact on shaping the future of AI applications.

Responsibilities

  • Design, develop, and deploy scalable ML models for autonomous decision-making systems
  • Lead end-to-end AI pipeline implementation from data ingestion to production deployment
  • Collaborate with cross-functional teams to integrate AI solutions into enterprise platforms
  • Research and implement novel deep learning architectures for time-series forecasting
  • Optimize model performance using distributed computing frameworks (TensorFlow, PyTorch)
  • Develop ethical AI governance frameworks and bias mitigation protocols
  • Mentor junior engineers and contribute to open-source AI initiatives

Qualifications

  • M.S. or Ph.D. in Computer Science, AI, or related field (5+ years experience)
  • Expertise in Python, TensorFlow/PyTorch, and distributed ML frameworks
  • Proven track record deploying production ML systems at scale
  • Strong background in reinforcement learning and generative models
  • Experience with MLOps tools (Kubeflow, MLflow, SageMaker)
  • Published research in top-tier AI conferences (NeurIPS, ICML) or equivalent industry impact
  • Deep understanding of ethical AI principles and responsible deployment

Required Skills

Artificial Intelligence Machine Learning Deep Learning TensorFlow PyTorch Python MLOps Reinforcement Learning Generative AI Distributed Computing

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