Job Description
Join NeuraTech Innovations at the forefront of artificial intelligence revolution. We're seeking a visionary Senior AI Engineer to architect transformative ML solutions that redefine industry standards. In this pivotal role, you'll collaborate with world-class researchers to deploy cutting-edge models in production environments, driving innovation across healthcare, fintech, and autonomous systems. Our dynamic startup culture combines Silicon Valley's energy with academic rigor, offering unparalleled opportunities to shape the future of intelligent automation.
As a cornerstone of our AI division, you'll leverage our proprietary distributed computing infrastructure to train billion-parameter models while maintaining ethical AI governance. We provide competitive equity packages, flexible work arrangements, and dedicated R&D budgets for conference attendance and patent development.
Responsibilities
- Design and productionize scalable ML pipelines using TensorFlow/PyTorch for high-impact applications
- Lead model optimization efforts, achieving 30%+ performance improvements through novel architecture innovations
- Collaborate with product teams to embed AI capabilities into customer-facing platforms
- Establish MLOps best practices including CI/CD for ML models and automated monitoring
- Mentor junior engineers through technical workshops and pair programming sessions
- Contribute to open-source projects and publish research at top-tier AI conferences
- Develop ethical AI frameworks ensuring compliance with evolving regulations
Qualifications
- PhD in Computer Science/AI or 5+ years of production ML engineering experience
- Expertise in deep learning frameworks (TensorFlow, PyTorch) and cloud platforms (AWS/GCP)
- Proven track record deploying NLP/CV models handling 10M+ daily transactions
- Strong foundations in distributed computing (Spark, Kubernetes) and GPU acceleration
- Experience with full ML lifecycle: data preprocessing through A/B testing
- Publication record at NeurIPS/ICML or equivalent academic venues
- Proficiency in Python, C++, and SQL with software engineering best practices