FREE ACCESS
5,000–10,000 jobs/day

See all jobs on JobTailor
Search thousands of fresh jobs every day.
Discover
- Fresh listings
- Fast filters
- No subscription required
Create a free account and start exploring right away.

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 & technologiesAirflowApacheGoHadoopJavaKerasPHPPythonPyTorchRubyScalaScikit-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
✓ Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills & Tools
machine learningartificial intelligencePHPPythonRubyGoCScalaJavaPyTorch
Soft Skills
analytical mindsetdata drivenstrong communicationmentoringcollaborationproblem solvingleadershipcode reviewproject managementtechnical decision making