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Information Technology 🏢 Full Time ⭐️ Verified

Senior AI Research Engineer

Nexus Dynamics
San Francisco
Estimated Salary
USD 180.000 – USD 280.000
Live Update
28 Juni 2026
Deadline
28 Jun 2027

Job Description

Join Nexus Dynamics at the forefront of technological evolution as we pioneer solutions for 2026 and beyond. We're seeking a visionary Senior AI Research Engineer to architect next-generation artificial intelligence systems that will redefine industries. In this role, you'll collaborate with Nobel laureates and industry disruptors to transform theoretical breakthroughs into scalable, real-world applications.

Our dynamic team operates at the intersection of quantum computing, neural networks, and predictive analytics. You'll develop cutting-edge algorithms for autonomous systems, personalized medicine platforms, and climate modeling solutions. This is your opportunity to shape the future while working in our state-of-the-art facility with unlimited resources for experimentation and growth.

Responsibilities

  • Design and implement advanced AI architectures for predictive modeling and autonomous decision systems
  • Lead research initiatives in quantum machine learning and neural network optimization
  • Collaborate with cross-functional teams to deploy AI solutions at enterprise scale
  • Develop proprietary algorithms for real-time data processing and anomaly detection
  • Mentor junior engineers and publish breakthrough research in top-tier AI journals
  • Translate complex mathematical models into production-ready code with 99.9% reliability
  • Drive innovation in federated learning and ethical AI frameworks

Qualifications

  • PhD in Computer Science, Mathematics, or related field with 5+ years industry experience
  • Expertise in TensorFlow, PyTorch, and distributed computing frameworks
  • Published record in top-tier AI/ML conferences (NeurIPS, ICML, ICLR)
  • Mastery of Python, C++, and GPU programming (CUDA)
  • Proven experience building production-grade AI systems serving 1M+ users
  • Deep understanding of reinforcement learning and transformer architectures
  • Strong background in statistical modeling and Bayesian inference
  • Excellent communication skills for technical and non-technical stakeholders

Required Skills

TensorFlow PyTorch Quantum Computing Reinforcement Learning Distributed Systems CUDA Python C++ Bayesian Inference Neural Networks Predictive Modeling

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