Senior Software Engineer, Salesforce
ML Platform, Slack
$200.8-276.1k
World's leading CRM provider
Be an early applicant
World's leading CRM provider
1001+ employees
Be an early applicant
$200.8-276.1k
1001+ employees
Company mission
To empower companies to connect with their customers in a whole new way.
Role
Who you are
- 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 you’ve 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
What the job involves
- 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 along side both our Machine Learning modeling and infrastructure teams to help deliver ML features across Slack
- 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 what’s relevant for a particular worker
- We’re 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 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
- 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
Application process
- End Date: June 23, 2025
Our take
Salesforce is a global cloud computing company, best known for its on-demand, comprehensive customer relationship management (CRM) solutions. The company was launched to mitigate the doubts that business owners felt regarding third party companies holding their data.
By providing essential, customer-oriented CRM software, Salesforce places itself at the heart of digitised businesses. Furthermore, by building out its AI capabilities, the company removes the complexity of AI, enabling any business to deliver smarter, personalised and more predictive customer experiences.
Due to the continued innovation offered by the company, over 150,000 companies, both big and small, are growing their business with Salesforce today. Despite a tumultuous 2023 filled with activist investors, a boardroom shake-up and the unprecedented step-down of Co-CEO Bret Taylor, Salesforce continues to close several acquisition deals and managed to drive up its stock value by 96% from the end of 2022 to 2023.
Steph
Company Specialist at Welcome to the Jungle
Insights
-8% employee growth in 12 months
Company
Funding (last 2 of 4 rounds)
Jun 2001
$46.9m
SERIES D
Nov 1999
$13.2m
SERIES C
Total funding: $64.5m
Company benefits
- With 9 standard holidays and four floating holidays, you get a total 13 paid days off each year
Company HQ
Financial District, San Francisco, CA
Leadership
Marc Benioff
(Chair & CEO)Previously Senior Vice President at Oracle Corporation for 13 years.
Parker Harris
(CTO)Previously worked as a Software Engineer for over six years. Harris also co-founded Left Coast Software.
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