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Job Description: 
Sr Software Engineer, Machine Learning
Robert Half
San Francisco, CA • On-site, Remote


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$160K - $180K/yr

Full-time

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Job description
We are looking for an experienced Senior Software Engineer specializing in Machine Learning to lead the development of innovative AI-driven services. This role focuses on building scalable systems and production-ready machine learning pipelines that transform raw data into actionable insights. If you have a strong background in backend development, AI/ML systems, and are passionate about delivering high-quality solutions, this position offers an exciting opportunity to make a meaningful impact.

Responsibilities:
• Architect and implement robust ingestion pipelines to process raw documents into structured Neo4j knowledge graphs.
• Develop and refine Python-based microservices using FastAPI to support ingestion and question-answering endpoints.
• Optimize retrieval and Q& A workflows to enhance performance, reduce costs, and ensure maintainability.
• Investigate and implement approaches for managing conflicting, incomplete, or time-sensitive information.
• Collaborate with researchers to integrate experimental AI strategies into production-grade systems.
• Maintain high standards of code quality through rigorous testing, documentation, and monitoring.
• Scale services from prototypes to fully operational production systems that meet enterprise needs.• At least 8 years of software engineering experience, including leadership roles.
• Extensive knowledge of Python, backend development, and machine learning-powered systems.
• Strong skills in systems design and architecture, with experience building data-intensive APIs.
• Proven ability to transition machine learning prototypes into reliable, production-grade services.
• Familiarity with CI/CD processes, cloud infrastructure, and monitoring tools.
• Exceptional collaboration and communication skills to work effectively with cross-functional teams.
• Expertise in frameworks such as PyTorch or TensorFlow and technologies like Neo4j.
• Experience in privacy preservation techniques within large language models (LLMs).