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Information Technology 🏢 Full Time ⭐️ Verified

AI/ML Engineer - Shaping 2026

FuturEdge Technologies
Austin
Estimated Salary
USD 180.000 – USD 250.000
New
Live Update
1 Juli 2026
Deadline
1 Jul 2027

Job Description

Join FuturEdge Technologies to architect the AI-driven future of 2026. We're seeking visionary engineers to pioneer next-generation machine learning solutions that will transform industries and redefine human-computer interaction. This role offers the opportunity to work with cutting-edge technologies in an environment that values innovation and impact.

What You'll Experience:

  • Collaborate with Nobel Prize-winning researchers in our Austin Innovation Lab
  • Access to $50M R&D budget for experimental AI projects
  • Flexible hybrid work with quarterly offsite innovation retreats
  • Equity package with 4-year vesting schedule

Responsibilities

  • Design and deploy scalable ML models for autonomous systems and predictive analytics
  • Lead research initiatives in quantum machine learning and neural architecture search
  • Develop ethical AI frameworks ensuring bias mitigation and transparency
  • Collaborate with product teams to integrate AI solutions into commercial platforms
  • Mentor junior engineers through our 'Future Leaders' program
  • Present breakthrough findings at global AI conferences (NeurIPS, ICML)
  • Contribute to open-source projects that shape the 2026 AI landscape

Qualifications

  • PhD in Computer Science/AI with 5+ years industry experience or equivalent
  • Expertise in PyTorch/TensorFlow and distributed ML systems
  • Published research in top-tier ML conferences (NeurIPS, ICML, ICLR)
  • Proficiency in MLOps tools (Kubeflow, MLflow, BentoML)
  • Experience with federated learning and edge AI deployment
  • Strong background in reinforcement learning and generative models
  • Portfolio demonstrating production AI systems serving >1M users
  • Certification in Responsible AI frameworks (e.g., Google's ML Fairness)

Required Skills

Machine Learning Python TensorFlow PyTorch AI Ethics MLOps Quantum Computing Reinforcement Learning Generative AI

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