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# Machine learning engineers

- **Company:** Salesforce Inc.
- **Location:** San Francisco, CA, United States
- **Salary:** $128,500.0 - $260,100.0
- **Contract:** Permanent contract
- **Skills:** C (Programming Language), Java (Programming Language), PHP (Programming Language), Artificial Intelligence, Airflow, Automated Storage and Retrieval Systems, Code Review, Graph Database, Apache Hadoop, MapReduce, Python (Programming Language), Search Algorithms, Machine Learning, Tensorflow, Ruby, Scala (Programming Language), Pytorch, Large Language Models, Multi-Agent Systems, Apache Spark, Electronic Medical Records, Generative AI, Keras, Scikit Learn, Luigi, Xgboost, Front End Software Development, Data Pipelines, Golang, Programming Languages
- **Published:** August 7, 2026
- **Apply:** https://www.dice.com/job-detail/59f4727a-b248-4762-a31d-de4200f0dcc3

## About the Role

* 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.

Nice to have:

 * Expertise in conversational agentic systems.
 * Expertise in retrieval systems and search algorithms.
 * Familiarity with vector databases and embeddings.
 * Knowledge of using multiple data types in RAG solutions including structured, unstructured, and knowledge graphs.
 * Broad experience across NLP, ML, and Generative AI capabilities.

## Description

* 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.


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