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Information Technology 🏢 Full Time ⭐️ Verified

AI/ML Engineer - Future Tech Innovations

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

Job Description

Join QuantumLeap Dynamics at the forefront of technological evolution as we pioneer AI solutions for 2026 and beyond. We're seeking visionary AI/ML Engineers to architect next-generation systems that will redefine industries. Collaborate with elite researchers in our state-of-the-art San Francisco lab, where your work will directly shape the future of artificial intelligence. Enjoy competitive compensation, unlimited learning resources, and the opportunity to transform theoretical concepts into real-world breakthroughs.

Responsibilities

  • Design and implement scalable ML pipelines for autonomous systems and predictive analytics
  • Develop cutting-edge AI models using PyTorch, TensorFlow, and custom frameworks
  • Optimize algorithms for quantum computing integration and edge deployment
  • Lead cross-functional teams to translate business requirements into technical specifications
  • Research and apply novel techniques in federated learning and neural architecture search
  • Ensure ethical AI compliance through bias mitigation and transparency frameworks
  • Contribute to open-source projects and publish findings in top-tier AI conferences

Qualifications

  • MS/PhD in Computer Science, AI, or related field with 5+ years industry experience
  • Expertise in Python, C++, and distributed computing frameworks (Spark, Dask)
  • Proven track record deploying production ML models serving >1M users
  • Strong foundation in reinforcement learning, computer vision, and NLP
  • Experience with MLOps tools (Kubernetes, Kubeflow, MLflow)
  • Published research in NeurIPS, ICML, or equivalent venues preferred
  • Ability to navigate complex ethical dilemmas in AI development
  • Proficiency in cloud platforms (AWS/GCP/Azure) with cost optimization skills

Required Skills

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

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