Salesforce

Senior Software Engineer, Machine Learning, Search

Salesforce

full-time

Posted on:

Location Type: Hybrid

Location: Atlanta • California, Washington • 🇺🇸 United States

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Salary

💰 $184,000 - $253,000 per year

Job Level

Senior

Tech Stack

AirflowApacheDistributed SystemsGoHadoopJavaKerasPHPPythonPyTorchRubyScalaScikit-LearnSparkTensorflow

About the role

  • 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

  • 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
  • Experience building batch data processing pipelines with tools like Apache Spark, Hadoop, EMR, Map Reduce, Airflow, Dagster, or Luigi.
  • Worked on generative AI apps with Large Language Models and possibly fine tuned them
  • 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.
  • Strong computer science fundamentals: data structures, algorithms, programming languages, distributed systems, and information retrieval.
Benefits
  • time off programs
  • medical, dental, vision
  • mental health support
  • paid parental leave
  • life and disability insurance
  • 401(k)
  • employee stock purchasing program

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard skills
ML modelsfunctional programmingimperative programmingPHPPythonRubyGoCScalaJava
Soft skills
analytical mindsetdata driven mindsetstrong communication skillsmentoringcollaborationleadershipproblem solvingcode reviewtechnical discussionsmaintainability