Software Engineer, Machine Learning - Slack

Salesforce - Atlanta, GA

Full-time - Senior

Atlanta, GA

Publishing Industries

About the position

Salesforce is seeking a Senior Machine Learning Engineer to develop and implement machine learning and generative AI features that enhance the Slack product. This role involves collaboration with cross-functional teams to create impactful features, ensuring the long-term health of systems, and mentoring other engineers.

Responsibilities

• Brainstorm with Product Managers, Designers, and Frontend Engineers to conceptualize and build new features for a large user base.
• Produce high-quality results by leading or contributing to large multi-functional projects that significantly impact the business.
• Actively own features or systems and define their long-term health while improving the health of surrounding systems.
• Assist support and operations teams in triaging and resolving production issues.
• Mentor other engineers and conduct deep code reviews.
• Improve engineering standards, tooling, and processes.

Requirements

• 10+ years experience with machine learning and software engineering.
• Experience deploying machine learning models, generative AI, or other data-derived artifacts into production at scale, especially for text-based applications.
• Experience working on generative AI applications with Large Language Models, including fine-tuning and quality improvement methods.
• Proficiency in functional or imperative programming languages such as PHP, Python, Ruby, Go, C, Scala, or Java.
• Experience with common ML frameworks like PyTorch, TensorFlow, Keras, XGBoost, or Scikit-learn.
• Experience building batch data processing pipelines with tools like Apache Spark, SQL, Hadoop, EMR, Map Reduce, Airflow, Dagster, or Luigi.
• Analytical and data-driven mindset with the ability to measure success with complex ML/AI products.
• Experience leading technical architecture discussions and driving technical decisions within a team.
• Ability to write understandable, testable code with a focus on maintainability.
• Strong communication skills to explain complex technical concepts to non-technical stakeholders.
• Strong computer science fundamentals: data structures, algorithms, programming languages, distributed systems, and information retrieval.
• Bachelor's degree in Computer Science, Engineering, Statistics, Mathematics, or a related field, or equivalent training, fellowship, or work experience.

Nice-to-haves

• Experience deploying production RAG pipelines.
• Experience with LLM evaluation and monitoring at scale.
• Experience in A/B testing and experimentation.

Benefits

• Equal pay initiatives
• Employee resource groups
• Inclusive benefits