Machine Learning Engineer — Conversational AI

Slack; New York (NY); On-site; USD 141,000 - 286,000; Full time

Job summary

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.

Qualifications

• Experience with ML frameworks and production ML deployments.
• Experience building data pipelines and large-scale systems.
• Proven ability to productionize ML models at scale.
• Strong communication with product and design teams.

Responsibilities

• 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.

Skills

Python

Machine Learning

LLMs

Data pipelines

PyTorch

TensorFlow

Java/Scala/Go

Communication

Tools

Apache Spark

Airflow

Docker

Kubernetes

Job description

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.