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Added 26 days ago
Senior Applied Machine Learning Engineer - Asset Intelligence
MaintainX (An Autodesk Company)
Remote, Canada
$123,000 to $180,000 CAD / year
Full-time · Remote
We are seeking a highly skilled and motivated Senior Applied Machine Learning Developer to guide the technical direction and architecture of our Predictive Maintenance and Asset…
Added 12 days ago
Machine Learning Engineer - Financials
Workday
Vancouver, BC · Canada, BC, Vancouver
Full-time
…Financials Hyper Automation AI team is a small, advanced team of ML engineers charged with re-envisioning and building the next generation of ERP Financial and Accounting systems. We have…
Added 11 days ago
Software Engineer II, Machine Learning - Slack
Global Gainsight Admins Community
Toronto, ON
Full-time
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…
Added 11 days ago
Software Engineer II, Machine Learning - Slack
Salesforce
Toronto, ON
Full-time
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…
Added 11 days ago
Software Engineer II, Machine Learning - Slack
Slack
Toronto, ON
Full-time
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…
Added 12 days ago
Software Engineer II, Machine Learning - Slack
Salesforce
Toronto, ON · Canada - Toronto
Full-time
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…
Added 12 days ago
Software Engineer II, Machine Learning - Slack
Slack
Toronto, ON · Canada - Toronto
Full-time
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…
Added 1 month ago
Research Engineer - World Models
Skyfall AI
Toronto, ON
Full-time
We're looking for a Research Engineer (ML) to join our cutting-edge AI research team. This role is ideal for engineers who thrive at the intersection of AI research and scalable software…
Added 23 days ago
Vice President, AI Engineer
BMO Capital Markets
Toronto, ON
Part-time
We are seeking a highly skilled AI Engineer to join the Data Cognition Team (DCT) at BMO Capital Markets. In this role, you will design, develop, and deploy next-generation AI systems with…
Added 1 month ago
Vice President, AI Engineer
BMO
Toronto, ON · FCP
We are seeking a highly skilled AI Engineer to join the Data Cognition Team (DCT) at BMO Capital Markets. In this role, you will design, develop, and deploy next-generation AI systems with…
Added 5 months ago
LLM Serving Engineer (Cloud AI Engineering), Senior / Staff Engineer
Qualcomm
Markham, ON
Full-time
Engineering Group, Engineering Group > Machine Learning Engineering
Added 5 months ago
LLM Serving Engineer (Cloud AI Engineering), Senior / Staff Engineer
Qualcomm
Markham, Ontario
Full-time
Engineering Group, Engineering Group > Machine Learning Engineering
Added 9 days ago
Lead AI Engineer
Altus Group
Toronto, ON
Full-time
Work on meaningful technical problems at enterprise scale. You will collaborate across Architecture, Product, Engineering, Data, and Analytics teams while working within one of the most…
Added 3 months ago
Lead AI Engineer
Altus Group
Toronto, Ontario
Full-time
Work on meaningful technical problems at enterprise scale. You will collaborate across Architecture, Product, Engineering, Data, and Analytics teams while working within one of the most…
Added 2 months ago
Applied AI, Technical Lead, Forward Deployed AI Engineer
Mistral
Montreal, Quebec
Full-time
…pre-sales to post-implementation - while collaborating closely with research, product, and engineering teams to shape the future of our…
Added 2 months ago
{NEW} Applied AI, Technical Lead, Forward Deployed AI Engineer
Mistral
Montreal, Quebec
Full-time
…pre-sales to post-implementation - while collaborating closely with research, product, and engineering teams to shape the future of our…
Added 23 days ago
Physical AI Engineer
EY
Toronto, ON
Full-time
This is a hands-on engineering role at the intersection of robotics, machine learning, computer vision, multimodal AI, agentic AI, and software engineering. The successful candidate will…
Added 23 days ago
Physical AI Engineer
EY
Toronto, ON
This is a hands-on engineering role at the intersection of robotics, machine learning, computer vision, multimodal AI, agentic AI, and software engineering. The successful candidate will…
Added 9 days ago
Staff AI Engineer
Arcadia
Toronto, ON · Greater Toronto Area, Canada
$220,000 to $300,000 CAD / year
Full-time
This is not an AI research role. We're looking for a Staff-level software engineer who can define the architecture and technical direction for large-scale AI infrastructure across…
Added 10 days ago
Staff Engineer - Agentic AI
RBC
Toronto, ON
Full-time
…financial institution, we bring together a tea of architects, engineers, scientists, and product experts on a mission to revolutionize finance through world-class research, solutions, and a…
Added 12 days ago
Staff Engineer - Agentic AI
Royal Bank of Canada
Toronto, ON
Full-time
…financial institution, we bring together a tea of architects, engineers, scientists, and product experts on a mission to revolutionize finance through world-class research, solutions, and a…
Added 3 days ago
Senior AI Engineer
Tundra Technical Solutions
Toronto, ON
$80 to $88 CAD / hour
Contract
We are looking for a Senior AI / Generative AI Engineer to design, build, and scale production-grade AI systems and intelligent agents, integrating advanced AI capabilities into enterprise…
Added 1 month ago
Senior AI Engineer
Workday
Vancouver, BC · Canada, BC, Vancouver
Full-time
…cross-functional AI teams that bring together product leaders, machine learning engineers, and full-stack builders to create intelligent agents used by millions of people every day. This is…
Added 3 months ago
Senior Machine Learning Researcher
RBC
Vancouver, British Columbia · Toronto, Ontario · Montreal, Quebec
Full-time
2+ years of experience as a machine learning researcher or engineer in a product-centric environment or equivalent experience;
Added 1 month ago
Senior Machine Learning Researcher- EN
RBC
Montreal, QC
Full-time
2+ years of experience as a machine learning researcher or engineer in a product-centric environment or equivalent experience;

Slack

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 Slack's product features. Collaborate with cross-functional teams to build scalable data pipelines and maintain robust, reliable production systems.

Requirements

Requires experience with machine learning frameworks and proficiency in at least one programming language such as Python, Java, or Go. Candidates should have a strong background in computer science fundamentals and experience deploying ML models at scale.

Skills

Machine Learning
Python
Java
Go
Pytorch
Tensorflow
XGBoost
Apache Spark
Airflow
LLMs
Data Pipelines
Recommendation Systems
Generative AI
Distributed Systems
Information Retrieval
Software Engineering

Benefits

Health Insurance
Retirement Plan
Professional Development
Work-life Balance Resources

Visa sponsorship

Not detected in the job text

Keywords

Machine Learning
Software Engineering
Slack
Salesforce
Agentforce
Python
Java
Go
PHP
Ruby
Scala
C
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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