Job Description
Are you ready to build the technology of tomorrow? Quantum Leap Systems is seeking a visionary Senior AI Engineer to lead our 2026 Horizon initiative. In this pivotal role, you will architect the neural networks and machine learning models that will define the next era of our industry.
We are looking for a thought leader who not only excels in technical execution but also understands the strategic implications of AI development. You will be instrumental in setting the technical roadmap for our flagship products, ensuring we remain at the cutting edge of innovation as we approach the 2026 landscape.
Why Join Us?
- Work on groundbreaking projects that shape the future.
- Competitive compensation package and equity options.
- Flexible remote-first policy with a hub in the heart of SF.
- Access to the latest hardware and cloud infrastructure.
Responsibilities
- Architect 2026 Roadmap: Lead the technical design and implementation of scalable AI systems aligned with the company's 2026 strategic goals.
- Model Development: Design, train, and optimize deep learning models to handle complex, large-scale data sets.
- Leadership: Mentor junior engineers and data scientists, fostering a culture of innovation and technical excellence.
- System Integration: Collaborate with product managers and software engineers to integrate AI solutions into existing workflows seamlessly.
- R&D: Stay ahead of the curve by researching emerging AI trends and technologies relevant to the 2026 timeframe.
Qualifications
- Education: Ph.D. or Master’s degree in Computer Science, Mathematics, Statistics, or a related field.
- Experience: 8+ years of experience in AI/ML engineering, with at least 3 years in a senior leadership role.
- Technical Skills: Proficiency in Python, TensorFlow, PyTorch, and experience with distributed computing frameworks.
- Strategic Vision: Demonstrated ability to translate business objectives into technical roadmaps for the future.
- Communication: Excellent verbal and written communication skills, capable of explaining complex concepts to diverse audiences.