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Information Technology 🏢 Full Time ⭐️ Verified

AI/ML Engineer - 2026 Vision Project

Nexus Innovations
San Francisco
Estimated Salary
USD 180.000 – USD 250.000
Live Update
19 Mei 2026
Deadline
19 Mei 2027

Job Description

Join Nexus Innovations at the forefront of technological evolution as we pioneer the next generation of AI-driven solutions for 2026. We're seeking a visionary AI/ML Engineer to architect and deploy transformative machine learning systems that will redefine industries. This role offers unparalleled opportunities to shape the future through cutting-edge research, scalable infrastructure, and ethical AI implementation. Collaborate with world-class researchers and engineers in our state-of-the-art San Francisco hub.

Why Nexus Innovations? We offer competitive equity packages, flexible work arrangements, and dedicated innovation time to explore emerging technologies. Our commitment to employee growth includes annual conference stipends, mentorship programs, and access to cutting-edge hardware including quantum computing prototypes.

Responsibilities

  • Design and implement scalable ML pipelines for autonomous systems and predictive analytics
  • Lead research on next-gen AI architectures (e.g., transformers, neuromorphic computing)
  • Develop ethical AI frameworks ensuring bias mitigation and regulatory compliance
  • Optimize models for edge deployment in IoT and autonomous vehicle ecosystems
  • Mentor junior engineers and conduct technical workshops on emerging AI paradigms
  • Collaborate with product teams to translate research into market-ready solutions

Qualifications

  • PhD or Master's in Computer Science/ML with 5+ years industry experience
  • Expertise in Python, TensorFlow/PyTorch, and distributed ML frameworks
  • Published research in top-tier AI conferences (NeurIPS, ICML, ICLR)
  • Proven track record deploying ML models at scale (10M+ daily inferences)
  • Strong background in quantum computing or neuromorphic systems preferred
  • Experience with MLOps tools (Kubeflow, MLflow) and cloud infrastructure (AWS/GCP)
  • Demonstrated ability to lead cross-functional technical initiatives

Required Skills

Artificial Intelligence Machine Learning Python TensorFlow PyTorch Quantum Computing Neuromorphic Systems MLOps Distributed Systems Predictive Analytics

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