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Slack is looking for a Machine Learning Engineer to craft and implement ML-powered search features that leverage our data to make Slack a fabulous, robust, safe, and valuable product for our users.

What you will be doing

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.
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.

You may be a fit for this role if you have:

8+ years experience with machine learning and software engineering.
Put machine learning models or other data-derived artifacts into production at scale, especially for search applications.
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
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.
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.
Strong computer science fundamentals: data structures, algorithms, programming languages, distributed systems, and information retrieval.
A bachelor's degree in Computer Science, Engineering, Statistics, Mathematics or a related field, or you have equivalent training, fellowship, or work experience.

Accommodations

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Salesforce is an Equal Employment Opportunity and Affirmative Action Employer. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender perception or identity, national origin, age, marital status, protected veteran status, or disability status. Salesforce does not accept unsolicited headhunter and agency resumes. Salesforce will not pay any third-party agency or company that does not have a signed agreement with Salesforce.

Salesforce welcomes all.

For British Columbia-based roles, the base salary hiring range for this position is CAD 184,600 to CAD 310,700.

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