Staff Machine Learning Engineer

We're looking for an experienced Staff Machine Learning Engineer to join our Shared Platform Services. Reporting to the Director, Engineering; you'll be responsible for:

• Architecting, building and maintaining robust, large-scale distributed systems to support the entire ML pipeline on the client side, including data collection, feature engineering, model training, model evaluation, model deployment, and real-time serving
• Developing functional specifications, assess task requirements and scheduling, and actively participate in the development, debugging, and support of client-side ML solutions
• Solving complex real-world business problems by working closely with various stakeholders, including data scientists, product management, and product engineering teams
• Developing implement, and optimize C/C++ code for the efficient execution of machine learning models on client side or server side depending on the use case
• Integrating and running various machine learning models on client platforms, ensuring optimal performance and resource utilization

What We're Looking for (Minimum Qualifications)

• 8+ years of experience as a Software Engineer including 3+ years of ML platform engineer, with a focus on client-side development.
• Experience in C/C++ programming for high-performance applications
• Good understanding of Windows OS and experience building applications on Windows OS using Visual Studio
• Strong experience with algorithms and programming skills in building out data collection/processing infrastructure, Machine Learning model training, and serving platforms on client devices
• Experience with SLM models and running different ML models on client-side environments

What Will Make You Stand Out (Preferred Qualifications)

• Strong experience with LLMs, agent architectures and prompt engineering
• Experience with ONNX runtime for optimizing and deploying machine learning models
• Advanced degree or certifications in Machine Learning

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