Machine Learning Engineer Intern - Winter 2027
StackAdapt is the leading technology company that empowers marketers to reach, engage, and convert audiences with precision. With 465 billion automated optimizations per second, the AI-powered StackAdapt Marketing Platform seamlessly connects brand and performance marketing to drive measurable results across the entire customer journey. The most forward-thinking marketers choose StackAdapt to orchestrate high-impact campaigns across programmatic advertising and marketing channels.
What you'll be doing:
- Design modular and scalable real time data pipelines to handle huge datasets
- Understand and implement custom ML algorithms in a low latency environment
- Work on microservice architectures that run training, inference, and monitoring on thousands of ML models concurrently
What you'll bring to the table:
- Have the ability to take an ambiguously defined task, and break it down into actionable steps
- Have deep understanding of algorithm and software design, concurrency, and data structures
- Experience in implementing probabilistic or machine learning algorithms
- Interest in designing scalable distributed systems
- A high GPA from a well-respected Computer Science program
- Enjoy working in a friendly, collaborative environment with others
The compensation range listed for this role reflects the expected base hourly pay for candidates located in the posting country based on a global rate. It is informed by market data and the approved budget for this position. StackAdapt maintains different compensation ranges for roles across other countries and regions, and final offers will be aligned to the candidate’s current location. We do not ask candidates about current or prior compensation history, and we will not use such information, if volunteered, in setting an offer.
This range represents base hourly compensation only.
Factors Influencing Final Compensation:
- The final compensation offer will be determined by a variety of factors, which may include, but are not limited to: the candidate's specific experience, technical skills, knowledge, abilities, and relevant education, licensure, and certifications.
- Other business factors, such as organizational needs and budget alignment, may also be considered in the final offer.
StackAdapter's Enjoy:
- Highly competitive salary
- Access to StackAdapt programmatic courses and certifications to support continuous learning
- A friendly, welcoming, and supportive culture
- Our social and team events!
Please note: Benefits and perks may vary depending on your country of employment and the nature of your engagement. In locations where StackAdapt does not have a legal entity, employment and benefits are administered in accordance with local regulations and partner policies.
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Skills
As published by greenhouse · 13 questions
Basics
First Name, Last Name, Email, Phone, Resume/CV, Cover Letter, Location
Short answers (3)
- Preferred First Name optional
- LinkedIn Profile optional
- What are your salary expectations (hourly)?
Pick from a list (9)
- If hired by StackAdapt, do you intend to hold any secondary employment, advisory position (e.g. membership on a board of directors), or volunteer position that (1) is on behalf of a business that would be competitive in nature to the business of StackAdapt, (2) conflict with your ability to perform your duties at StackAdapt, or (3) conflict with your working hours at StackAdapt
- Are you legally authorized to work in the country the job you are applying for is primarily located?
- Do you now or will you in the future require StackAdapt to sponsor you for authorization to work in the country the job you are applying for is primarily located?
- Have you previously worked at StackAdapt?
- Are you currently enrolled in an accredited co-op program?
- Are you scheduled to complete an official co-op work term during Winter 2027?
- What is your preferred work term length?
- Please indicate the province/territory from which you will be working from.
- Which statement best describes how you currently use AI tools in work/life?
Attachments (1)
- Please upload your transcript and co-op history.