Job Description
We are seeking a visionary Senior Machine Learning Engineer to lead our 2026 Roadmap initiatives. At Quantum Leap Systems, we are building the next generation of autonomous agents and predictive algorithms that will define the technological landscape of the coming decade. If you are passionate about pushing the boundaries of AI, optimizing model latency, and architecting scalable systems for the future, we want to meet you.
In this role, you will not just maintain existing systems; you will architect the foundational models for our upcoming product releases. You will work closely with our research team to translate theoretical advancements into production-ready solutions that impact millions of users globally.
Why Join Us?
- Work on cutting-edge projects that define the future of AI.
- Competitive compensation package with equity options.
- Flexible remote-first culture with state-of-the-art equipment.
Responsibilities
- Architect and deploy scalable machine learning models aligned with the 2026 Technology Roadmap.
- Optimize deep learning pipelines for high-throughput inference and low-latency response times.
- Collaborate with cross-functional teams (Data Science, Product, Engineering) to define technical requirements.
- Mentor junior engineers and conduct code reviews to ensure best practices in MLOps and AI governance.
- Experiment with novel architectures including Transformers and Graph Neural Networks to solve complex problems.
- Monitor model performance in production and implement A/B testing strategies for continuous improvement.
Qualifications
- B.S., M.S., or Ph.D. in Computer Science, Mathematics, or a related field.
- 5+ years of professional experience in machine learning engineering or data science.
- Proficiency in Python, PyTorch, TensorFlow, or JAX.
- Strong experience with cloud platforms (AWS, GCP, or Azure) and containerization (Docker/Kubernetes).
- Deep understanding of MLOps practices, including CI/CD, model versioning, and feature stores.
- Experience deploying LLMs and Generative AI applications in production environments.