Job Description
Are you passionate about turning raw data into actionable intelligence? Quantum Leap Industries is seeking a world-class Senior Machine Learning Engineer to join our elite data science team in the heart of San Francisco.
We are on a mission to revolutionize the fintech landscape through predictive analytics and AI-driven decision making. As a key player in our R&D division, you will be responsible for developing scalable algorithms that drive our core product innovation. We offer a dynamic, high-performance environment where creativity meets rigor, and your code will have a tangible impact on millions of users.
Why Join Us?
- Competitive compensation package and equity options.
- Flexible remote-first work culture with a modern office in SF.
- Access to cutting-edge cloud infrastructure and proprietary datasets.
- Continuous learning budget and annual tech conferences.
Responsibilities
- Design, develop, and deploy end-to-end machine learning pipelines using Python and PyTorch.
- Collaborate with cross-functional teams of engineers, data scientists, and product managers to define data requirements and success metrics.
- Implement robust A/B testing strategies to validate model performance and drive product optimization.
- Conduct deep data analysis to uncover trends, anomalies, and opportunities for business growth.
- Mentor junior data scientists and conduct code reviews to maintain high engineering standards.
- Optimize algorithms for low latency and high throughput in production environments.
Qualifications
- Ph.D. or Master’s degree in Computer Science, Statistics, Mathematics, or a related quantitative field.
- Proven experience with large-scale data processing frameworks (Spark, Hadoop, or Kafka).
- Strong proficiency in SQL, Python (Pandas, NumPy, Scikit-learn), and experience with R or Julia.
- Experience deploying and serving machine learning models via Docker, Kubernetes, or AWS SageMaker.
- Excellent problem-solving skills with a focus on data-driven decision making.
- Strong communication skills with the ability to translate complex technical concepts to non-technical stakeholders.