Job Description
Join QuantumLeap Technologies as a Senior Machine Learning Engineer and drive innovation at the intersection of artificial intelligence and scientific research. We're pioneering breakthrough solutions in computational biology and predictive analytics, and we need visionary minds to shape the future. Collaborate with world-class scientists and engineers to develop cutting-edge ML models that solve complex real-world problems. Enjoy competitive compensation, flexible work arrangements, and a culture that values intellectual curiosity and technical excellence.
Responsibilities
- Design, develop, and deploy scalable ML models for scientific data analysis
- Collaborate with cross-functional teams to translate research requirements into technical solutions
- Lead optimization of model performance and computational efficiency
- Implement MLOps best practices for model lifecycle management
- Contribute to open-source scientific computing projects
- Mentor junior engineers and foster a culture of innovation
Qualifications
- MS/PhD in Computer Science, Mathematics, or related quantitative field
- 5+ years of ML engineering experience with production systems
- Expertise in Python, TensorFlow/PyTorch, and cloud platforms (AWS/GCP)
- Strong background in statistical modeling and algorithm development
- Experience with scientific computing libraries (SciPy, NumPy)
- Published research in ML or adjacent scientific fields preferred
- Proven track record of deploying high-impact ML solutions