Job Description
Join QuantumLeap Technologies at the forefront of AI innovation! We're seeking a Senior Machine Learning Engineer to architect cutting-edge solutions that transform industries. You'll collaborate with cross-functional teams to deploy scalable ML systems, conduct groundbreaking research, and mentor junior engineers. Our Austin hub offers a dynamic environment where your expertise directly impacts real-world applications in healthcare, climate science, and autonomous systems. Enjoy competitive benefits, flexible work arrangements, and opportunities to publish at top-tier conferences.
Responsibilities
- Design and implement production-level ML pipelines using TensorFlow/PyTorch
- Lead model optimization and A/B testing for high-impact applications
- Collaborate with data scientists to translate research into deployable solutions
- Architect cloud-native ML infrastructure on AWS/GCP
- Present findings to executive stakeholders and technical teams
- Mentor junior engineers and contribute to technical documentation
Qualifications
- MS/PhD in Computer Science, Mathematics, or related field
- 5+ years of ML engineering experience with proven deployment records
- Expertise in Python, SQL, and distributed computing frameworks
- Strong foundation in statistical modeling and algorithm design
- Experience with MLOps tools (Kubeflow, MLflow) and CI/CD pipelines
- Published research in ML/AI conferences or equivalent industry impact