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Salesforce

Software Engineer, Machine Learning, SWE II, SWE I

Salesforce

. Leveraging machine learning and artificial intelligence subject matter expertise to drive improvements in the Slackbot experience.

Posted 4/23/2026full-timeSan Francisco • California, New York • 🇺🇸 United StatesMid-LevelSenior💰 $128,500 - $260,100 per yearWebsite

Tech Stack

Tools & technologies
AirflowApacheGoHadoopJavaKerasPHPPythonPyTorchRubyScalaScikit-LearnSparkTensorflow

About the role

Key responsibilities & impact
  • Leveraging machine learning and artificial intelligence subject matter expertise to drive improvements in the Slackbot experience.
  • Develop ML models supporting ranking, retrieval, and generative AI use-cases.
  • Brainstorm with Product Managers, Designers and Frontend Engineers to conceptualize and build new features for our large (and growing!) user base.
  • Produce high-quality results by leading or contributing heavily to large multi-functional projects that have a significant impact on the business.
  • Actively own features or systems and define their long-term health, while also improving the health of surrounding systems.
  • Support in the development of sustainable data collection pipelines and management of ML features.
  • Assist our skilled support team and operations team in triaging and resolving production issues.
  • Mentor other engineers and deeply review code.
  • Improve engineering standards, tooling, and processes.

Requirements

What you’ll need
  • Experience with functional or imperative programming languages: PHP, Python, Ruby, Go, C, Scala or Java.
  • Built with common ML frameworks like PyTorch, Tensorflow, Keras, XGBoost, or Scikit-learn
  • Fine tuned LLMs or BERT models.
  • Experience building batch data processing pipelines with tools like Apache Spark, Hadoop, EMR, Map Reduce, Airflow, Dagster, or Luigi.
  • An analytical and data driven mindset, and know how to measure success with complicated ML/AI products.
  • Put machine learning models or other data-derived artifacts into production at scale.
  • Led technical architecture discussions and helped drive technical decisions within the team.
  • The ability to write understandable, testable code with an eye towards maintainability.
  • Strong communication skills and you are capable of explaining complex technical concepts to designers, support, and other specialists.

Benefits

Comp & perks
  • time off programs
  • medical
  • dental
  • vision
  • mental health support
  • paid parental leave
  • life and disability insurance
  • 401(k)
  • employee stock purchasing program

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills & Tools
machine learningartificial intelligencePHPPythonRubyGoCScalaJavaPyTorch
Soft Skills
analytical mindsetdata drivenstrong communicationmentoringcollaborationproblem solvingleadershipcode reviewproject managementtechnical decision making