Software Engineer II, Machine Learning - Slack
Salesforce1 day ago
Toronto, CanadaMid Level
Responsibilities
- Develop machine learning models supporting ranking, retrieval, recommendation, and generative AI use cases.
- Design and implement application features, services, API methods, and ML systems for Slack.
- Build sustainable data collection and batch-processing pipelines and manage ML features.
- Deploy ML models and other data-derived artifacts into reliable production systems at scale.
- Lead or make substantial contributions to large, cross-functional projects with significant business impact.
- Own features and systems over their lifecycle, including long-term health and surrounding-system improvements.
- Assist support and operations teams with production issue triage and resolution.
- Mentor engineers, conduct deep code reviews, and improve engineering standards, tooling, and processes.
- Collaborate with product managers, designers, and frontend engineers to build new product features.
Requirements
- Experience with one or more of PHP, Python, Ruby, Go, C, Scala, or Java.
- Experience with machine learning frameworks such as PyTorch, TensorFlow, Keras, XGBoost, or scikit-learn.
- Experience building batch data-processing pipelines with tools such as Apache Spark, Hadoop, EMR, MapReduce, Airflow, Dagster, or Luigi.
- Experience fine-tuning LLMs or BERT models and putting machine learning models or data-derived artifacts into production at scale.
- Ability to measure success for complex ML and AI products using an analytical, data-driven approach.
- Experience leading technical architecture discussions and contributing to technical decisions.
- Ability to write understandable, testable, maintainable code.
- Strong communication skills and ability to explain complex technical concepts to varied specialist audiences.
- Strong computer science fundamentals, including data structures, algorithms, programming languages, distributed systems, and information retrieval.
- Bachelor’s degree in Computer Science, Engineering, Statistics, Mathematics, or a related field, or equivalent training, fellowship, or work experience.
- Preferred qualifications include expertise in conversational agentic systems, retrieval systems, search algorithms, vector databases, embeddings, RAG solutions, NLP, ML, and generative AI.
Benefits
- Salesforce provides benefits and resources intended to support balance and employee well-being.
- For Ontario-based roles, the base salary hiring range is CAD 130,300 to CAD 179,200 annually, excluding bonus, sales incentives, equity, and benefits.
- Salesforce provides reasonable accommodations during the application and recruiting process.
Tech Stack
Apache AirflowApache HadoopApache SparkCGoJavaKerasPHPPythonPyTorchRubyScalascikit-learnTensorFlowXGBoost
Categories
About Salesforce
Salesforce builds cloud-based customer relationship management software and a broader Customer 360 platform for sales, service, marketing, commerce, and analytics, sold by subscription to businesses and public-sector organizations. Founded in 1999 and headquartered in San Francisco, it trades on the NYSE under the symbol CRM. Its portfolio includes Sales Cloud, Service Cloud, Marketing Cloud, MuleSoft integration, Tableau analytics, and Slack for collaboration, with extensive developer tools and APIs.