Software Engineer, Machine Learning

Salesforce

Machine learning engineer building Slackbot ranking, retrieval, and generative AI capabilities at Salesforce-owned Slack. Developing production-scale models, pipelines, and reliable features for millions of users.

Posted 8/4/2026full-timeSan Francisco • California, New York, Washington • 🇺🇸 United StatesMid-LevelSenior💰 $128,500 - $260,100 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in machine learning and artificial intelligence to enhance user experiences, with a strong focus on developing and deploying ML models and data pipelines. Capable of leading multifunctional projects and mentoring engineers while ensuring high engineering standards and effective communication across teams.

Highest-signal resume keywords

Machine Learning Model DevelopmentData Pipeline ConstructionML Frameworks (PyTorch, TensorFlow)Functional Programming (Python, Java, Go)Technical Architecture Leadership

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Machine LearningArtificial IntelligenceData Processing PipelinesModel Fine-TuningCode ReviewAnalytical SkillsTestable Code WritingBatch ProcessingNLP ExpertiseGenerative AI

Soft Skills

Strong Communication SkillsMentoring

Tools & Technologies

Apache SparkHadoopAirflowKerasScikit-learnXGBoostBERTSlackbotMapReduceDagster

Industry Keywords

Conversational Agentic SystemsRetrieval SystemsSearch AlgorithmsVector DatabasesKnowledge Graph Data

Tech Stack

Tools & technologies

AirflowApacheGoHadoopJavaKerasMapReducePHPPythonPyTorchRubyScalaScikit-LearnSparkTensorflow

About the role

Key responsibilities & impact

Leverage machine learning and artificial intelligence expertise to improve the Slackbot experience
Develop ML models for ranking, retrieval, and generative AI use cases
Brainstorm with Product Managers, Designers, and Frontend Engineers to conceptualize and build features
Lead or heavily contribute to large multifunctional projects with significant business impact
Own features or systems and define their long-term health
Improve the health of surrounding systems
Support sustainable data collection pipelines and ML feature management
Assist support and operations teams with triaging and resolving production issues
Mentor engineers and conduct deep code reviews
Improve engineering standards, tooling, and processes
Build data pipelines, train recommendation models, fine-tune LLMs, implement application features, and analyze experiment data as needed

Requirements

What you’ll need

Experience with functional or imperative programming languages including PHP, Python, Ruby, Go, C, Scala, or Java
Experience with common ML frameworks such as PyTorch, TensorFlow, Keras, XGBoost, or Scikit-learn
Experience fine-tuning LLMs or BERT models
Experience building batch data processing pipelines using Apache Spark, Hadoop, EMR, MapReduce, Airflow, Dagster, or Luigi
Analytical and data-driven mindset with ability to measure success for complex ML/AI products
Experience putting machine learning models or other data-derived artifacts into production at scale
Experience leading technical architecture discussions and driving technical decisions
Ability to write understandable, testable, maintainable code
Strong communication skills and ability to explain complex technical concepts to designers, support teams, and specialists
Nice to have: expertise in conversational agentic systems
Nice to have: expertise in retrieval systems and search algorithms
Nice to have: familiarity with vector databases and embeddings
Nice to have: knowledge of structured, unstructured, and knowledge graph data in RAG solutions
Nice to have: broad experience across NLP, ML, and Generative AI capabilities

Benefits

Comp & perks

Time off programs
Medical insurance
Dental insurance
Vision insurance
Mental health support
Paid parental leave
Life insurance
Disability insurance
401(k)
Employee stock purchasing program
Potential eligibility for company bonus
Potential eligibility for equity
Reasonable accommodation during the application or recruiting process