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Added 12 days ago
Software Development Engineer II, Omnichannel Metrics (OCM) - Measurement, Ad Tech, and Data Science (MADS)
Amazon
Toronto, ON
…distributed data pipelines processing billions of events in Spark/EMR, and build the AI-powered features that transform OCM from a reporting tool into an autonomous measurement platform.…
Added 13 days ago
Software Engineer II, Machine Learning - Slack
Salesforce
Toronto, ON · Canada - Toronto
Full-time
Experience with functional or imperative programming languages: PHP, Python, Ruby, Go, C, Scala or Java.
Added 13 days ago
Software Engineer II, Machine Learning - Slack
Slack
Toronto, ON · Canada - Toronto
Full-time
Experience with functional or imperative programming languages: PHP, Python, Ruby, Go, C, Scala or Java.
Added 15 days ago
Senior Data Engineer - Halifax
Royal Bank of Canada
NS · BEDFORD, Nova Scotia
Full-time
5+ years of application development experience in Spark or Hadoop, and Java/Scala
Added 18 days ago
Staff Software Engineer (FinTech) - Back End (Bangkok based, Relocation provided)
Agoda
Toronto, ON
Full-time
8+ years of experience with strong proficiency in Java, Kotlin, Scala with a proven track record of developing high-performance applications in production settings. Insightful experience…
Added 21 days ago
Senior Data Engineer - Halifax
RBC
Bedford, QC
Full-time
5+ years of application development experience in Spark or Hadoop, and Java/Scala
Added 18 days ago
Director & Principal Engineer, AI/ML & MLOps Platform
RBC
Vancouver, BC
Full-time
Deep expertise in modern distributed data processing and ML engineering tools and languages (e.g., Python, Java/Scala, PySpark/Spark, Kafka, SQL, orchestration frameworks).
Added 24 days ago
Sr Applied Scientist, Recommendations
eBay
Toronto, ON
Full-time
Experience in production engineering practices and software development in an OO language (Scala, Java, etc.)
Added 19 days ago
Senior Java Backend Engineer – AI/Workflow
Astek
Montreal, QC
Full-time
3 + years of hands-on software development experience in Java ecosystem
Added 21 days ago
Big Data Developer – Scala/Spark, Java
Astra-North Infoteck Inc. ~ Conquering today’s challenges, achieving tomorrow’s vision!
Toronto, ON
Full-time
8. Experience in writing Spring boot Webservices| and SQL queries.The ideal candidate will have experience developing data processing applications using Apache Spark and Scala.
Added 20 days ago
Spark Scala Java Developer
J&M Group
Toronto, ON
Contract
Experience in writing Spring boot Webservices| and SQL queries.The ideal candidate will have experience developing data processing applications using Apache Spark and Scala.
Added 24 days ago
Data Engineer - Canada Region
Slalom
Vancouver, BC · Greater Vancouver Metropolitan Area
Full-time
Proficiency in programming languages such as SQL, Python, Java and or Scala.
Added 24 days ago
Senior Data Engineer
Capgemini
Mississauga, ON
Full-time
Programming experience in at least two of the following languages Scala Java or Python
Added 26 days ago
Big Data Developer
Centraprise
Toronto, ON · Greater Toronto Area, Canada
Contract
Mandatory Skills: Well versed with Data, ETL Processes, SQL and high-level programming languages such Scala, Java, DevSecOps
Added 26 days ago
Java developer (with Database)
Astek
Montreal, QC · Greater Montreal Metropolitan Area
Part-time
Design, develop, and enhance Java applications and data processing solutions within a fast-paced Agile environment.
Added 27 days ago
Data Engineer
FDM Group
Montreal, QC
Full-time
Java/Scala + bases solides Spark (debug, analyse d’échecs) ; Snowflake + SQL avancé (optimisation)
Added 28 days ago
Software Dev Engineer II, 1P Audio Video Measurement
Amazon
Toronto, ON
Full-time
…will help steer the future of advertising. Our stack includes Spark (Scala), EMR, S3, Elasticsearch, JVM-based services, and job schedulers, and cluster management services that oversee our…
Added 1 month ago
Hadoop Developer
Pyramid Consulting, Inc
ON · Ontario, Canada
Contract
Must have skills: - Hadoop Ecosystem (HDFS, YARN, Hive, HBase), Spark (SQL, Streaming), Kafka, Sqoop, Python/Scala/Java, Shell scripting, Airflow (workflow orchestration), distributed data…
Added 1 month ago
Data Engineer
Blackline Safety
Canada
Full-time
Strong proficiency in SQL, Python, Java, and/or Scala.
Added 1 month ago
Software Development Engineer III, Omnichannel Metrics (OCM) - Measurement, Ad Tech, and Data Science (MADS)
Amazon
Toronto, ON
Full-time
…distributed data pipelines processing billions of events in Spark/EMR, and build the AI-powered features that transform OCM from a reporting tool into an autonomous measurement platform.…
Added 2 months ago
Senior Forward Deployed Engineer
Shakudo
Toronto, ON
Full-time
Proficiency in at least one production programming language such as Python, Go, TypeScript, Java, or Scala.
Added 1 month ago
Java Application Developer with AI
Open Systems Technologies
Montreal, QC
Contract
3 + years of hands-on software development experience in Java ecosystem
Added 28 days ago
Software Dev Engineer II, 1P Audio Video Measurement
Amazon
Toronto, ON
…will help steer the future of advertising. Our stack includes Spark (Scala), EMR, S3, Elasticsearch, JVM-based services, and job schedulers, and cluster management services that oversee our…
Added 28 days ago
Lead Data and AI Engineer
Sanofi
Toronto, ON
Full-time
Advanced SQL and data modeling skills, with working knowledge of Python and scripting languages; Scala or Java is a plus
Added 1 month ago
Big Data Engineer
TMX Group
Toronto, ON
$130,000 to $140,000 CAD / year
Full-time
Programming: Proficiency in Python, Scala, Shell Scripting, or Java.

Salesforce

Software Engineer II, Machine Learning - Slack

Toronto, ON, Canada
Canada - Toronto, Canada

Job type: Full-time
Posting language: English
Posted: Sep 8, 2026

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Original job description

To get the best candidate experience, please consider applying for a maximum of 3 roles within 12 months to ensure you are not duplicating efforts.

Job Category

Software Engineering

Job Details

About Salesforce

Salesforce is the #1 AI CRM, where humans with agents drive customer success together. Here, ambition meets action. Tech meets trust. And innovation isn’t a buzzword - it’s a way of life. 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.

Ready to level-up your career at the company leading workforce transformation in the agentic era? You’re in the right place! Agentforce is the future of AI, and you are the future of Salesforce.

Job Description 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 search, agentic systems, recommendation, and security, but ultimately are looking for engineers who can help drive impact with machine learning across the organization.

At Slack, that impact can be huge:
* We have over 10 million daily active users relying on our product.
* At peak usage, a million messages a minute pass through Slack.
* During the week, our users spend over a billion minutes a day active in our product.

Machine learning engineers at Slack touch a great variety of parts of our technical stack. At different points, you might find yourself building data pipelines, training recommendation models, fine tuning LLMs, implementing features in our application, or analyzing experiment data. We don’t expect everyone to be an expert in everything, but we are looking for candidates with experience in Machine Learning, a strength in at least a couple of these, and who are excited to learn the rest.
This is a practical machine learning team, not a research team. Our goal is to deliver business value with machine learning and data in whatever form that takes. Sometimes that means bootstrapping something simple like a logistic regression and moving on. Other times that means developing sophisticated, finely tuned models and novel solutions to Slack’s unique problem space. We are looking for engineers who are driven by driving impact for our business, building great products for our customers, and delivering robust, reliable services with machine learning.

What you will be doing:
* 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.

You may be a fit for this role if you have:
* Experience with functional or imperative programming languages: PHP, Python, Ruby, Go, C, Scala or Java.
* Built 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 you have equivalent training, fellowship, or work experience.

Bonus Points
* Expertise in conversational agentic systems.
* Expertise in retrieval systems and search algorithms.
* Familiarity with vector databases and embeddings.
* Knowledge of using multiple data types in RAG solutions including structured, unstructured, and knowledge graphs.
* Broad experience across NLP, ML, and Generative AI capabilities.

Unleash Your Potential

When you join Salesforce, you’ll be limitless in all areas of your life. Our benefits and resources support you to find balance and be your best, and our AI agents accelerate your impact so you can do your best. Together, we’ll bring the power of Agentforce to organizations of all sizes and deliver amazing experiences that customers love. Apply today to not only shape the future - but to redefine what’s possible - for yourself, for AI, and the world.

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. 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 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.

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More about this job

Responsibilities

Develop and implement machine learning models for ranking, retrieval, and generative AI use-cases to enhance the Slack product. Collaborate with cross-functional teams to build features, maintain system health, and mentor other engineers.

Requirements

Requires experience with machine learning frameworks, data processing pipelines, and proficiency in programming languages like Python, Java, or Go. Candidates should have a bachelor's degree in a technical field or equivalent experience and strong computer science fundamentals.

Skills

Machine learning
Python
Java
Go
Pytorch
Tensorflow
XGBoost
Apache Spark
Airflow
LLMs
Data pipelines
Recommendation systems
Retrieval systems
Generative AI
Distributed systems
Software engineering

Benefits

Health insurance
Retirement benefits
Professional development
Work-life balance resources

Visa sponsorship

Not detected in the job text

Keywords

Machine Learning
Software Engineering
Slack
Salesforce
Agentforce
Python
PHP
Ruby
Go
C
Scala
Java
Pytorch
Tensorflow
Keras
XGBoost
Scikit-learn
Apache Spark
Hadoop
EMR
Map Reduce
Airflow
Dagster
Luigi
LLMs
BERT
RAG
Vector Databases
NLP
Generative AI

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