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Sr. Software Engineer, Machine Learning; Search

Job in Atlanta, Fulton County, Georgia, 30383, USA
Listing for: Slack
Full Time position
Listed on 2025-12-21
Job specializations:
  • Software Development
    AI Engineer, Machine Learning/ ML Engineer, Software Engineer
Salary/Wage Range or Industry Benchmark: 100000 - 125000 USD Yearly USD 100000.00 125000.00 YEAR
Job Description & How to Apply Below
Position: Sr. Software Engineer, Machine Learning (Search) - Slack

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.

What

you 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.
What you should have
  • 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.
Bonus Points
  • 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.
Unleash Your Potential

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.

Accommodations

If you require assistance due to a disability applying for open positions please submit a request via this Accommodations Request Form.

Posting Statement

Salesforce is an equal opportunity employer and maintains a policy of non‑discrimination with all employees and applicants for employment. What does that mean exactly? It means that at Salesforce, we believe in equality for all. And we believe we can lead the path to equality in part by creating a workplace that’s inclusive, and free from discrimination. Know your rights: workplace discrimination is illegal.

Any employee or potential employee will be assessed on the basis of merit, competence and qualifications – without regard to race, religion, color, national origin, sex, sexual orientation, gender expression or identity, transgender status, age, disability, veteran or marital status, political viewpoint, or other classifications protected by law. This policy applies to current and prospective employees, no matter where they are in their Salesforce employment journey.

It also applies to recruiting, hiring, job assignment, compensation, promotion, benefits, training, assessment of job performance, discipline, termination, and everything in between. Recruiting, hiring, and promotion decisions at Salesforce are fair and based on merit. The same goes for compensation, benefits, promotions, transfers, reduction in workforce, recall, training, and education.

Seniority level
  • Mid‑Senior level
Employment type
  • Full‑time
Job function
  • Engineering and Information Technology
Industries
  • Technology, Information and Internet
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