Software Engineer, Machine Learning; Senior, SWE II & SWE

Position: Software Engineer, Machine Learning (Senior, SWE II & SWE I)
Job Category
Software Engineering

Job Details
About Salesforce

Salesforce is the #1 AI CRM, where humans with agents drive customer success together. Here, ambition meets action. Tech meets trust. And innovation isn’t a buzzword — it’s a way of life. The world of work as we know it is changing and we're looking for Trailblazers who are passionate about bettering business and the world through AI, driving innovation, and keeping Salesforce's core values at the heart of it all.

Ready to level-up your career at the company leading workforce transformation in the agentic era? You’re in the right place! Agentforce is the future of AI, and you are the future of Salesforce.

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 work on applications across agentic systems (Slackbot), search, recommendation, and more, but ultimately are looking for engineers excited to drive impact at the forefront of conversational intelligence.

At Slack, That Impact Can Be Huge

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.

Machine learning engineers at Slack touch a great variety of parts of our technical stack. At different points, you might find yourself building data pipelines, training recommendation models, fine tuning LLMs, implementing features in our application, or analyzing experiment data. We don’t expect everyone to be an expert in everything, but we are looking for candidates with experience in Machine Learning, a strength in at least a couple of these, and who are excited to learn the rest.

This is a practical machine learning team, not a research team. Our goal is to deliver business value with machine learning and data in whatever form that takes. Sometimes that means bootstrapping something simple like a logistic regression and moving on. Other times that means developing sophisticated, finely tuned models and novel solutions to Slack’s unique problem space. We are looking for engineers who are driven by driving impact for our business, building great products for our customers, and delivering robust, reliable services with machine learning.

What You Will Be Doing

Leveraging machine learning and artificial intelligence subject matter expertise to drive improvements in the Slackbot experience.

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.

In French – Description Du Poste
Slack recherche un ingénieur en apprentissage automatique pour concevoir et mettre en œuvre des fonctionnalités, des services, des méthodes API et des modèles afin d'exploiter nos données et faire de Slack un produit fabuleux, robuste, sûr et précieux pour nos utilisateurs. Nous travaillons sur des applications couvrant les systèmes agentifs (Slackbot), la recherche, les recommandations et bien plus encore, mais nous recherchons avant tout des ingénieurs désireux d'avoir un impact à la pointe de l'intelligence conversationnelle.

At Slack, Cet Impact Peut Être Considérable

Plus de 10 millions d'utilisateurs actifs quotidiens font confiance à notre produit.

Aux heures de pointe, un million de messages par minute transitent par Slack.

Au cours de la semaine, nos utilisateurs passent plus d'un milliard…