Job Description
Join FutureTech Labs at the forefront of 2026's technological revolution! We're seeking visionary AI/ML Engineers to build the intelligent systems that will define the next decade. As a key innovator in our Austin R&D hub, you'll develop cutting-edge machine learning solutions for autonomous systems, predictive analytics, and human-AI collaboration interfaces. Our culture combines agile methodologies with deep technical exploration, offering competitive equity packages, unlimited learning stipends, and flexible hybrid work arrangements. Shape the future with us!
Responsibilities
- Design and implement scalable ML pipelines for autonomous decision-making systems
- Research and prototype next-gen AI architectures for 2026-era applications
- Collaborate with cross-functional teams to integrate ML models into production systems
- Develop ethical AI frameworks ensuring responsible deployment of autonomous technologies
- Lead innovation sprints on human-AI interaction paradigms for 2026 workplace ecosystems
- Optimize model performance for edge computing environments in IoT networks
- Document technical specifications and present breakthrough findings to executive stakeholders
Qualifications
- 5+ years experience in production-level ML/AI development with Python, TensorFlow, and PyTorch
- Expertise in computer vision, NLP, or reinforcement learning for autonomous systems
- Published research or proven experience in ethical AI frameworks and bias mitigation
- Strong background in MLOps and cloud-native deployment (AWS/GCP/Azure)
- PhD or Master's in Computer Science, AI, or related quantitative field preferred
- Portfolio demonstrating 2026-relevant projects (autonomous systems, human-AI interfaces)
- Experience with federated learning and edge computing architectures
- Certification in responsible AI development (e.g., Google's ML Fairness)