About the job
About Trace Machina:
At Trace Machina, we are revolutionizing the software development lifecycle with our innovative technology, NativeLink. This state-of-the-art build caching and remote execution system enhances software compilation and testing, while significantly lowering infrastructure costs. Our mission is to empower organizations of all sizes to streamline and scale their build systems effectively.
We are seeking a forward-thinking and passionate Data Scientist specializing in AI/ML to become a pivotal part of our dynamic team. In this role, you will leverage your expertise in data science to elevate the capabilities of NativeLink, focusing on optimizing build processes and creating machine learning models that enhance performance, scalability, and efficiency.
Job Overview:
As a Data Scientist specializing in AI/ML at Trace Machina, you will engage in the design, testing, and deployment of machine learning models and algorithms intended to address intricate challenges associated with software build optimization and testing. You will collaborate closely with engineering teams to enhance the NativeLink platform's performance and work alongside data engineers to ensure the integrity of our data pipelines and infrastructure. Your efforts will contribute to the development of intelligent systems that expedite software development, making it more reliable and cost-effective.
Key Responsibilities:
- Design and implement machine learning models to optimize software build systems, focusing on caching, task distribution, and execution workflows.
- Analyze large datasets to uncover patterns, anomalies, and insights that drive improvements in build processes and remote execution.
- Develop predictive models aimed at optimizing build times, cache hit rates, and resource utilization.
- Conduct experiments that enhance the efficiency of build systems through data-driven decisions utilizing AI/ML techniques such as reinforcement learning.
- Collaborate with cross-functional teams (engineering, product, and operations) to convert business challenges into AI/ML solutions.
- Examine customer usage data to pinpoint opportunities for feature enhancements and innovations within the NativeLink platform.
- Create custom algorithms for performance monitoring, anomaly detection, and optimizing CI/CD pipelines.
- Build, test, and validate machine learning models using diverse techniques, ensuring they meet standards for scalability, robustness, and interpretability.
