Posted 13 months ago
Machine Learning Engineer, AI Decisioning
@ hireVouch
Remote in Canada
Overview
hireVouch is hiring an early Machine Learning Engineer to build an AI decisioning intelligence layer for its data activation products. The role covers personalization, automated experimentation, predictive audiences, content generation and budget optimization, working from problem definition through modeling and infrastructure.
Responsibilities:
- Build personalization and product recommendation models
- Automate experimentation across messaging options
- Develop predictive audience models for conversion and churn
- Explore LLM-based content generation
- Optimize marketing budget and CAC
Requirements summary:
- Experience with machine learning and predictive modeling
- Ability to define problems and build solutions from scratch
- Experience partnering with customers
Tools & skills
Source and dates
Source type not verified · cats
- Employer posting date
- 2025-10-03
- First seen by our source
- 2026-10-10
- Source record updated
- 2026-11-05
These dates describe the source record, not a live verification that the employer is still hiring. Check the original posting.
Job details
| Seniority | Entry level |
| Department | Software development |
| Work setting | Office |
| Physical demands | physical low · computer high |
Summary and details written by AI from the posting; the employer’s posting is the authority.
hireVouch
Saved company profile
Historical company information from a saved The Jobs API profile (LinkedIn/Crunchbase fields). It is not live-verified; figures may have changed. Missing values remain unknown.
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Full company description
Our Edge Hiring and retaining skilled talent is paramount for your company’s success. Finding the right people – who have the right skills and right personality fit – can be incredibly challenging in today’s job market. Here at hireVouch we can help you acquire the highest calibre candidates through the relationships we have formed over more than a decade. Our approach is an ethical one. Rather than use the often-employed aggressive methods typical of the recruitment industry, our focus is placed largely on referral-based networking. Getting it right really matters to us. Let us leverage our network of talent that has already been vouched for by leading professionals in the industry to help your business grow. Services Offered Contingency and Retained Search Here at hireVouch we focus on sourcing best-in-class candidates for rewarding positions in Canada and the US. We have extensive expertise in Contingency, Retained and Temporary placement, primarily within the IT sector. On-Site Search Assistance We have a trusted network of HR and search professionals who can provide on-site search services to help fulfill immediate needs as well as help train internal staff in finding the highest quality talent Company Marketing Strategy We know how competitive the job market can truly be and how important it is to have a strategy to attract talent. At hireVouch we have extensive expertise in helping companies better market themselves. We can provide the tools and knowledge that will assist you in making your business a highly attractive place to work. Developing a company marketing strategy is key to hiring the talent you need to grow.
- LinkedIn followers
- 68,412
- People associated on LinkedIn
- 7
- Reported office locations
- 215 Spadina Avenue, 4th Floor, Toronto, Ontario M5T 2C7, CA
- Other recorded names
- hireVouch
- Profile identifies a recruitment agency
- Yes
Our Edge Hiring and retaining skilled talent is paramount for your company’s success. Finding the right people – who have the right skills and right personality fit – can be incredibly challenging in today’s job market. Here at hireVouch we can help you acquire the highest calibre candidates through the relationships we have formed over more than a decade. Our approach is an ethical one. Rather than use the…
| Field | Value |
|---|---|
| Industry | Staffing and Recruiting |
| Company size | 2-10 employees |
| Headquarters | Toronto, Ontario |
| Organization type | Privately Held |
| Year founded | 2016 |
| Open jobs on Jobsy | 175 |
| View page |
About the Role
We’re looking to hire a machine learning engineer as we expand our data activation products to include an intelligence layer. While hundreds of companies use our products today to sync data into their SaaS systems to automate and improve operations, there’s a lot of surface area we haven’t touched in helping companies figuring out which customers to message, what content to put in messages, and when to send messages. A lot of this work today is done manually through intuition and guesswork, and we believe that adding machine learning could have a step function impact for our customers. And given our access to data warehouses and databases, we are perfectly placed to make use of a company’s customer data in building a powerful intelligence layer.
Some of the problems we’ll be working on include:
- Personalization and Product Recommendation: There are often many options for what content a company could message a user with, including which products to show from catalogues. Given this large state space, how can we help personalize messages with the most relevant content for each user?
- Automated Experimentation: Helping companies intelligently navigate and automate experiments across the extensive number of options for messaging customers.
- Predictive Audiences: Building models to predict which users are most likely to convert, churn, or take desired actions.
- Content Generation: Particularly with recent advances in LLMs, how can we help marketers generate text, images, and creatives that are compelling to their customers?
- Budget Optimization: Helping companies assess which marketing spend is driving the most incremental conversions, and where the marginal CAC is lowest.
As an early machine learning engineer, you will help build comprehensive solutions to the above domains from scratch. Responsibilities will be highly varied and include working on customer research, problem definition, predictive modeling, machine learning infrastructure, and partnering with customers.
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