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Information Technology 🏢 Full Time ⭐️ Verified

AI/ML Research Engineer - 2026 Visionary

NexusAI Labs
San Francisco
Estimated Salary
USD 180.000 – USD 250.000
New
Live Update
2 Juli 2026
Deadline
2 Jul 2027

Job Description

Join NexusAI Labs at the forefront of artificial intelligence innovation! We're seeking a pioneering AI/ML Research Engineer to architect breakthrough solutions for 2026 and beyond. As a key member of our elite research division, you'll develop next-generation machine learning models that will redefine industry standards. Our cutting-edge lab offers unparalleled resources to transform theoretical concepts into real-world applications, with direct impact on healthcare automation, sustainable energy systems, and autonomous technologies. This is your opportunity to shape the future of AI while working alongside Nobel laureates and Turing Award recipients in a culture of relentless innovation.

Responsibilities

  • Design and implement novel neural architectures for next-gen AI systems
  • Lead research initiatives in quantum machine learning and federated learning
  • Develop ethical AI frameworks aligned with 2026 regulatory standards
  • Collaborate with Fortune 500 partners on production-ready AI deployments
  • Author breakthrough research papers for NeurIPS/ICML conferences
  • Mentor PhD candidates in advanced deep learning methodologies
  • Optimize models for edge computing and low-latency inference

Qualifications

  • PhD in Computer Science/AI or equivalent with 5+ years industry experience
  • Published research in top-tier AI conferences (NeurIPS, ICML, ICLR)
  • Expertise in PyTorch/TensorFlow with 10+ production ML deployments
  • Strong background in reinforcement learning and generative models
  • Experience with MLOps and CI/CD for AI systems
  • Proven ability to translate academic research into scalable solutions
  • Knowledge of ethical AI frameworks and bias mitigation techniques

Required Skills

Python PyTorch TensorFlow Reinforcement Learning Generative AI MLOps Quantum Computing Ethics in AI Research Publication

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