Senior Staff Software Engineer, Machine Learning

Salesforce is seeking a Senior Staff Machine Learning Engineer to join their ML Modeling team. This role involves crafting and implementing ML and generative AI-powered features that leverage data to create a robust, safe, and valuable product for users. The team has built out functionality spanning LLM deployment, evaluation, monitoring, and quality improvements.

Key responsibilities include:

• Collaborating with Product Managers, Designers, and Engineers to conceptualize and build new features
• Leading or contributing to large multi-functional projects with significant business impact
• Mentoring other engineers and reviewing code
• Designing and delivering scalable RAG services for numerous applications
• Driving system efficiencies through automation
• Participating in on-call rotations
• Collaborating with cross-functional teams to bring innovative technologies to production

The ideal candidate should have:

• 8+ years of experience in machine learning and software engineering
• Experience putting ML models and generative AI into production at scale
• Proficiency in languages like PHP, Python, Ruby, Go, C, Scala, or Java
• Experience with ML frameworks such as PyTorch, Keras, XGBoost, TensorFlow, or Scikit-learn
• Strong computer science fundamentals and communication skills
• A bachelor's degree in a relevant field or equivalent experience

Preferred skills include experience with RAG pipelines, LLM evaluation and monitoring, search technologies, and a strong background in various ML approaches.

This role offers the opportunity to work on cutting-edge AI technologies and contribute to a product used by a large and growing user base. Join a team that values both technical expertise and creative thinking, where you'll engage in thought-provoking discussions and solve complex challenges in the field of machine learning and AI.