Job Description
Join QuantumLeap Innovations at the forefront of 2026's technological revolution! We're pioneering breakthrough AI solutions that will redefine industries tomorrow. As a Senior AI Research Engineer, you'll architect and deploy next-generation machine learning systems that solve complex global challenges. Our collaborative culture values bold innovation and cutting-edge research, offering unparalleled opportunities to shape the future of artificial intelligence. Enjoy competitive compensation, flexible work arrangements, and access to state-of-the-art facilities in the heart of San Francisco's tech ecosystem.
Responsibilities
- Design and implement advanced neural network architectures for real-world applications
- Lead R&D initiatives for generative AI and quantum computing integration
- Collaborate with cross-functional teams to deploy scalable ML pipelines
- Publish groundbreaking research in top-tier AI conferences and journals
- Mentor junior engineers and foster a culture of continuous learning
- Drive innovation in ethical AI frameworks and responsible development practices
Qualifications
- PhD in Computer Science, AI, or related field with 5+ years industry experience
- Proven expertise in deep learning frameworks (PyTorch, TensorFlow) and distributed computing
- Strong publication record in NeurIPS/ICML/ICLR or equivalent venues
- Experience with quantum machine learning algorithms and hybrid systems
- Demonstrated ability to translate research into production-grade solutions
- Expertise in MLOps and large-scale model deployment
- Commitment to ethical AI development and bias mitigation strategies