Job Description

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Job Category

Software Engineering

About Salesforce

Were Salesforce, the Customer Company, inspiring the future of business with AI + Data + CRM. Leading with our core values, we help companies across every industry blaze new trails and connect with customers in a whole new way. And, we empower you to be a Trailblazer, too driving your performance and career growth, charting new paths, and improving the state of the world. If you believe in business as the greatest platform for change and in companies doing well and doing good youve come to the right place.

Slack is looking for a Senior Software Engineer with strong exposure to data to support the development of Machine learning models that leverage our data to make Slack a fabulous, robust, safe, and valuable product for our users. You will be working on creating large-scale data pipelines, continuous training/deployment, and enhancing our experimentation capabilities, as well as working alongside both our Machine Learning modeling and infrastructure teams to help deliver ML features across Slack.

At Slack, your impact can be huge: Here at Slack, we believe we can build terrific product experiences for our customers with ML + AI through letting users tap into their organizations collective knowledge. We have an opportunity to develop experiences that automate mundane tasks, efficiently find answers, and sift through the massive amount of information at a company to find whats relevant for a particular worker. Were investing in this area in a drive to make the work lives of the millions of knowledge workers who rely on Slack day to day more productive and delightful.

We have over 10 million daily active users relying on our product.

At peak usage, a million messages a minute pass through Slack.

During the week, our users spend over a billion minutes a day active in our product.

We operate at significant scale and our new ML platform group has significant opportunity to help better deliver ML capabilities across Slack. Our platform group is responsible for supporting data ingestion and transformation, feature creation and management, as well as ensuring that we have robust experimentation capabilities both offline and online. We are looking for highly talented engineers to help deliver across these objectives.

What you will be doing: Develop software across the ML ops stack (e.g., data ingestion/processing, management of ML models, expand experimentation capabilities, etc.)

Brainstorm with ML, infrastructure, and product engineers to deliver highly efficient and robust capabilities around creating and delivering ML models.

Optimize machine learning pipelines for scalability, efficiency and cost-effectiveness.

Support in the creation and management of ML features.

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.

What you should have: Experience with functional or imperative programming languages: PHP, Python, Ruby, Go, C, Scala or Java.

Experience building big data processing pipelines with tools like Apache Spark, Hadoop, PySpark, SQL, etc.

Experience orchestrating complex data ingestion and processing pipelines with tools like Airflow, Dagster, or Luigi.

Have built large-scale, distributed, production ML/AI systems or other ML Ops systems professionally and can point to things youve worked on.

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.

Strong computer science fundamentals: data structures, algorithms, programming languages, distributed systems, and information retrieval.

Accommodations

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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 thats inclusive, and free from discrimination.

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.

Pursuant to the San Francisco Fair Chance Ordinance and the Los Angeles Fair Chance Initiative for Hiring, Salesforce will consider for employment qualified applicants with arrest and conviction records.

For California-based roles, the base salary hiring range for this position is $200,800 to $276,100. Compensation offered will be determined by factors such as location, level, job-related knowledge, skills, and experience. Certain roles may be eligible for incentive compensation, equity, and benefits. More details about our company benefits can be found at the following link: Salesforce Benefits .

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