Job Description
Are you ready to architect the intelligent systems of tomorrow?
Quantum Leap Technologies is at the forefront of defining the technological landscape for the year 2026 and beyond. We are seeking a visionary Senior AI Engineer to join our elite R&D division in San Francisco. In this role, you will not just implement existing solutions; you will pioneer the algorithms and neural architectures that will power our ecosystem in the next decade.
As a key player in our 2026 Strategic Initiative, you will bridge the gap between theoretical artificial intelligence and practical, scalable industrial applications. You will work in a high-performance environment that prioritizes innovation, ethical AI, and massive scalability.
Why Join Us?
- Work on groundbreaking projects that define the future of tech.
- Competitive compensation package and equity options.
- Flexible remote-first culture with a hub in the heart of San Francisco.
- Access to state-of-the-art computing infrastructure.
Responsibilities
- Architect the 2026 Roadmap: Design and lead the development of core machine learning models and neural networks that align with our five-year strategic vision for 2026.
- Model Deployment: Deploy scalable AI solutions to production environments using MLOps best practices, ensuring high availability and low latency.
- Data Strategy: Lead the design of data pipelines and strategies to feed high-quality training data into our proprietary models.
- Cross-Functional Collaboration: Partner with product managers, data scientists, and software engineers to translate business requirements into technical AI solutions.
- Research & Innovation: Stay ahead of the curve on the latest advancements in Deep Learning and Natural Language Processing to integrate cutting-edge techniques.
- Performance Optimization: Continuously monitor, tune, and optimize model performance to ensure accuracy and efficiency.
Qualifications
- Education: Master’s or PhD in Computer Science, Mathematics, Statistics, or a related field.
- Experience: Minimum of 5+ years of professional experience in AI/ML engineering, with a proven track record of shipping production-level models.
- Technical Skills: Deep expertise in Python, PyTorch, TensorFlow, or JAX. Strong understanding of distributed computing and cloud platforms (AWS/GCP/Azure).
- Domain Knowledge: Proven experience in NLP, Computer Vision, or Reinforcement Learning is highly preferred.
- Communication: Excellent ability to communicate complex technical concepts to non-technical stakeholders.
- Problem Solving: A passion for solving complex, unsolved problems with elegant, scalable code.