Job Description
Are you ready to engineer the future? Quantum Leap Tech is seeking a visionary Senior AI/ML Engineer to spearhead our next-generation infrastructure. As we prepare to launch our 2026 roadmap, we need a technical expert who can bridge the gap between theoretical models and scalable production environments.
Join a team that prioritizes innovation, autonomy, and impact. You will be at the forefront of developing predictive algorithms that drive our core product lines. If you thrive in a fast-paced, high-growth environment and want to define the AI landscape of 2026, we want to hear from you.
Why join us?
- Competitive compensation and equity package.
- Flexible remote-first culture with quarterly in-person meetups in SF.
- Access to cutting-edge hardware and cloud infrastructure.
- Clear path to leadership within our engineering division.
Responsibilities
- Design, train, and deploy state-of-the-art machine learning models for large-scale data processing.
- Collaborate with cross-functional teams (Product, Data Science, Engineering) to integrate AI solutions into existing workflows.
- Optimize algorithms for speed, accuracy, and scalability to meet the demands of the 2026 product roadmap.
- Mentor junior engineers and conduct code reviews to maintain high engineering standards.
- Stay abreast of the latest advancements in AI research and apply them to practical business problems.
- Implement robust monitoring and evaluation pipelines to ensure model performance in production.
Qualifications
- PhD or Master’s degree in Computer Science, Statistics, or a related field.
- 5+ years of professional experience in machine learning engineering, preferably in the fintech or SaaS sector.
- Expert proficiency in Python, PyTorch, or TensorFlow.
- Strong experience with cloud platforms (AWS, GCP, or Azure) and containerization technologies (Docker, Kubernetes).
- Deep understanding of MLOps practices, including model versioning, CI/CD for ML, and A/B testing.
- Excellent problem-solving skills and ability to communicate complex technical concepts to non-technical stakeholders.