Job Description
Join NeuroTech Dynamics at the forefront of 2026's technological revolution. We're pioneering next-generation AI systems that redefine human-computer interaction. As an AI/ML Engineer, you'll architect scalable solutions for autonomous systems, predictive analytics platforms, and neural network optimizations. Collaborate with world-class researchers to transform theoretical models into production-ready innovations that impact billions. Our startup culture combines academic rigor with agile execution, offering equity, unlimited PTO, and a cutting-edge lab environment.
Responsibilities
- Design and implement advanced ML pipelines for real-time data processing
- Develop proprietary neural network architectures for edge computing devices
- Optimize AI models for 5G/6G network constraints and low-latency applications
- Lead research on federated learning and quantum-assisted machine learning
- Create robust MLOps infrastructure for automated model deployment
- Collaborate with quantum computing teams to hybridize classical-quantum algorithms
- Mentor junior engineers in ethical AI development practices
Qualifications
- MS/PhD in Computer Science, AI, or related field with 3+ years industry experience
- Expertise in TensorFlow/PyTorch and distributed training frameworks
- Published research in top-tier AI conferences (NeurIPS, ICML, etc.)
- Proficiency in quantum computing libraries (Qiskit, Cirq) or equivalent
- Strong background in computer vision and NLP transformers
- Experience with MLOps tools (Kubeflow, MLflow) and cloud platforms (AWS/GCP)
- Demonstrated ability to translate complex research into production systems