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Senior AI/ML Engineer - 2026 Technology Roadmap

InnovateTech Solutions
San Francisco
Estimated Salary
USD 160.000 – USD 220.000
Live Update
28 Juni 2026
Deadline
28 Jun 2027

Job Description

Join InnovateTech Solutions at the forefront of technological evolution as we architect the AI landscape for 2026. We're seeking a visionary Senior AI/ML Engineer to design next-generation machine learning systems that will redefine industries. This pivotal role combines cutting-edge research with practical implementation to create scalable solutions for autonomous systems, predictive analytics, and human-AI collaboration frameworks.

You'll work in our state-of-the-art San Francisco hub alongside world-class researchers and engineers, leveraging our $50M innovation fund to pioneer breakthroughs that will power the decade's most transformative technologies. The ideal candidate thrives in ambiguity, demonstrates exceptional technical leadership, and shares our passion for building ethical AI that augments human potential.

Responsibilities

  • Architect and implement production-grade ML pipelines for autonomous decision systems
  • Lead research in federated learning and quantum-optimized neural networks
  • Design ethical AI frameworks for bias mitigation and explainable AI
  • Collaborate with cross-functional teams to integrate AI solutions into enterprise platforms
  • Mentor junior engineers and publish research in top-tier AI conferences
  • Drive innovation in human-AI interaction paradigms for 2026 use cases
  • Optimize ML models for edge computing and real-time inference
  • Establish best practices for MLOps and continuous model deployment

Qualifications

  • PhD in Computer Science/AI or equivalent with 5+ years industry experience
  • Expertise in PyTorch/TensorFlow and distributed ML frameworks
  • Proven track record deploying production ML systems at scale
  • Strong background in reinforcement learning and generative models
  • Experience with quantum computing algorithms and hybrid AI systems
  • Published research in NeurIPS/ICML/ICLR or equivalent tier venues
  • Fluency in Python, C++, and cloud-native architectures (AWS/GCP)
  • Demonstrated leadership in cross-functional AI initiatives

Required Skills

AI Machine Learning Deep Learning PyTorch TensorFlow Quantum Computing Reinforcement Learning MLOps Distributed Systems Ethics in AI

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