Job Description
Join NeuroSynth Labs at the forefront of artificial intelligence innovation. We're pioneering next-generation neural networks that redefine human-machine collaboration. As a key member of our R&D team, you'll architect cutting-edge AI solutions for healthcare, climate science, and autonomous systems. Our collaborative environment empowers you to publish groundbreaking research while developing production-grade AI systems that impact millions of lives.
Responsibilities
- Design and implement novel deep learning architectures for complex problem domains
- Lead end-to-end ML pipeline development from data preprocessing to deployment
- Collaborate with cross-functional teams to translate research into scalable products
- Stay current with emerging AI trends through academic publications and conferences
- Mentor junior researchers and conduct technical interviews
Qualifications
- PhD in Computer Science, Mathematics, or related field with 3+ years industry experience
- Expertise in PyTorch/TensorFlow and distributed computing frameworks
- Strong publication record at NeurIPS/ICML/ICLR or equivalent venues
- Proven ability to deliver production-level ML systems in cloud environments
- Deep understanding of transformer architectures and reinforcement learning