Job CategorySoftware EngineeringWhat You Will Be DoingDevelop 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.What You Should HaveExperience with functional or imperative programming languages: PHP, Python, Ruby, Go, C, Scala or Java.Experience with common ML frameworks like PyTorch, TensorFlow, Keras, XGBoost, or Scikit‑learn.Experience building batch data processing pipelines with tools like Apache Spark, Hadoop, EMR, Map Reduce, Airflow, Dagster, or Luigi.Worked on generative AI apps with Large Language Models and possibly fine‑tuned them.An analytical and data‑driven mindset and the ability to measure success with complicated ML/AI products.Deploy machine learning models or other data‑derived artifacts into production at scale.Led technical architecture discussions and helped drive technical decisions within the team.Ability to write understandable,



testable code with an eye toward maintainability.Strong communication skills and the capability to explain complex technical concepts to designers, support, and other specialists.Strong computer science fundamentals: data structures, algorithms, programming languages, distributed systems, and information retrieval.A bachelor’s degree in Computer Science, Engineering, Statistics, Mathematics, or a related field, or equivalent training, fellowship, or work experience.Nice to HaveExperience building and optimizing RAG pipelines.Expertise in conversational agents.Expertise in retrieval systems and search algorithms.Familiarity with vector databases and embeddings.Broad experience across NLP, ML, and Generative AI capabilities.AccommodationsIf you need a reasonable accommodation during the application or the recruiting process, please submit a request via this Accommodations Request Form.Posting StatementSalesforce is an equal prospect 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 that’s inclusive,



and free from discrimination. Know your rights: workplace discrimination is illegal. 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.At Salesforce, we believe in equitable compensation practices that reflect the dynamic nature of labor markets across various regions.For British Columbia‑based roles, the base salary hiring range for this position is CAD 130,300 to CAD 179,200. For Ontario‑based roles, the base salary hiring range for this position is CAD 130,300 to CAD 179,200 annually. The range represents base salary only, and does not include company bonus, incentive for sales roles, equity or benefits, as applicable.This posting is to fill a vacancy on our team, unless otherwise noted.#J-18808-Ljbffr

📌 Software Engineer Ii, Machine Learning (Search) - Slack - C$130,300 - C$179,200 A Year (Winnipeg)
🏢 Slack
📍 Winnipeg