Job Category Software EngineeringResponsibilitiesDevelop 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 user base.Produce high‑quality results by leading or contributing heavily to large multi‑functional projects with significant business impact.Actively own features or systems and define their long‑term health while improving surrounding systems.Support the development of sustainable data‑collection pipelines and management of ML features.Assist support and operations teams in triaging and resolving production issues.Mentor other engineers and conduct thorough code reviews.Improve engineering standards, tooling, and processes.Qualifications and RequirementsExperience with functional or imperative programming languages: PHP, Python, Ruby, Go, C, Scala or Java.Built with common ML frameworks such as PyTorch, TensorFlow, Keras, XGBoost or Scikit‑learn.Experience building batch data‑processing pipelines with tools like Apache Spark, Hadoop, EMR, MapReduce, Airflow, Dagster or Luigi.Worked on generative AI apps with Large Language Models and possibly fine‑tuned them.Analytical and data‑driven mindset; can measure success with complex ML/AI products.Put ML models or other data‑derived artifacts into production at scale.Led technical architecture discussions and helped drive technical decisions within the team.Write understandable, testable code with an eye toward maintainability.Strong communication skills, capable of explaining complex technical concepts to designers, support,



and other specialists.Solid computer science fundamentals: data structures, algorithms, programming languages, distributed systems, and information retrieval.Bachelor's degree in Computer Science, Engineering, Statistics, Mathematics or related field, or equivalent training, fellowship, or work experience.Nice to HaveExperience building and optimizing Retrieval‑Augmented Generation (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.Salary 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.Accommodations If you need a reasonable accommodation during the application or the recruiting process, please submit a request via this Accommodations Request Form.Please note that Salesforce uses artificial intelligence (AI)



tools to help our recruiters assess and evaluate candidates’ resumes and qualifications throughout the recruiting process. Humans will always make any candidate selection and hiring decisions. Please see our Candidate Privacy Statement for more information about how we use your personal data and your rights, including with regard to use of AI tools and opt‑out options.Posting Statement Salesforce is an equal opportunity 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. 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 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.#J-18808-Ljbffr

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