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About the Role
Slack is seeking a Machine Learning Engineer to develop and implement features, services, API methods, and models to leverage data and enhance the Slack product. The role involves working on applications across search, agentic systems, recommendation, and security, with a focus on driving impact through machine learning across the organization.
Responsibilities
- 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.
- Produce high-quality results by leading or contributing heavily to large multi-functional projects.
- 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.
Requirements
- Experience with functional or imperative programming languages: PHP, Python, Ruby, Go, C, Scala or Java.
- Experience building 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.
- Fine tuned LLMs or BERT models.
- An analytical and data driven mindset, and know how to measure success with complicated ML/AI products.
- Put machine learning models or other data-derived artifacts into production at scale.
- Led technical architecture discussions and helped drive technical decisions within the team.
- The ability to write understandable, testable code with an eye towards maintainability.
- Strong communication skills and you are capable of explaining 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.
Skills
- Machine Learning
- Search
- Agentic systems
- Recommendation
- Security
- Data pipelines
- Recommendation models
- LLMs
- Experiment data analysis
- Logistic regression
- Ranking
- Retrieval
- Generative AI
- Conversational agentic systems
- Retrieval systems
- Search algorithms
- Vector databases
- Embeddings
- RAG solutions
- NLP
- Generative AI capabilities
Location
- Remote
Work Type
- Full-time
Experience Level
- Mid-level
- Senior
Education Level
- Bachelor's degree in Computer Science, Engineering, Statistics, Mathematics or a related field, or equivalent training, fellowship, or work experience.
Salary/Compensations
- CAD 130,300 to CAD 179,200 annually
Benefits
- Company bonus
- Incentive for sales roles
- Equity
- Benefits
About the Company
- Salesforce is the #1 AI CRM, where humans with agents drive customer success together.
- 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.
- Agentforce is the future of AI, and you are the future of Salesforce.
Equal Opportunity
- Salesforce is an equal opportunity employer and maintains a policy of non-discrimination with all employees and applicants for employment.
- 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.