Sr. Software Engineer, Machine Learning; Search
Listed on 2025-12-21
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Software Development
AI Engineer, Machine Learning/ ML Engineer
Sr. Software Engineer, Machine Learning (Search) - Slack
Slack is looking for a Machine Learning Engineer to craft and implement features, services, API methods, and models to leverage our data to make Slack a fabulous, robust, safe, and valuable product for our users. We’re looking for candidates with experience or interest in search / conversational agents, but ultimately are looking for engineers who can help drive impact with machine learning across the organization.
Whatyou will be doing
- 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.
- Experience with functional or imperative programming languages: PHP, Python, Ruby, Go, C, Scala or Java.
- Built with common ML frameworks like PyTorch, Tensor Flow, 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 toward 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.
- Experience building and optimizing RAG pipelines.
- Expertise in conversational agents.
- Expertise in retrieval systems and search algorithms.
- Familiarity with vector databases and embeddings.
- Broad experience across NLP, ML, and Generative AI capabilities.
When you join Salesforce, you’ll be limitless in all areas of your life. Our benefits and resources support you to find balance and be your best, and our AI agents accelerate your impact so you can do your best. Together, we’ll bring the power of Agentforce to organizations of all sizes and deliver amazing experiences that customers love. Apply today to not only shape the future — but to redefine what’s possible — for yourself, for AI, and the world.
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- Mid‑Senior level
- Full‑time
- Engineering and Information Technology
- Technology, Information and Internet
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