Machine Learning Engineer
StackAdapt · Alberta, Canada; British Columbia; Calgary, Alberta, Canada; California; New York; Ontario; Seattle; Toronto; Vancouver; Washington
Posted about 3 months ago
or apply directly on StackAdapt's site. We never take the application ourselves.
Is this posting real?
- This role has been open
- 81 days StackAdapt's roles stay open a median of 81 days
- Reposted
- No
- Salary listed
- No 0% of StackAdapt's roles list one
- Ghost-job risk at StackAdapt
- high 81 stale, 7 reposted of 84 open
- Hiring momentum
- 132 roles opened in the last 90 days ↑ up vs. the prior 90 days
- Last confirmed on the employer's board
- 2026-10-23
Measured from postings appearing on and disappearing from StackAdapt's own greenhouse board since 2026-08-03. Full hiring picture for StackAdapt.
About this role
As a Machine Learning Engineer at StackAdapt, you will be part of the Data Science team, focusing on building scalable data pipelines and optimizing ad models for their digital advertising platform. You will collaborate with Applied Machine Learning Scientists and Engineering teams to implement custom machine learning algorithms and work on microservice architectures that handle multiple models concurrently. This role involves tackling complex problems using large datasets in a remote-first environment.
- benefits
- 5/5
- freshness
- 1/5
- career value
- 4/5
- role clarity
- 4/5
- pay transparency
- 0/5
Scored from the posting itself — how clearly the role is described, how much it says about pay and benefits, and how recently it was listed. Not a judgement of StackAdapt as an employer.
What you need
- Ability to break down ambiguously defined tasks into actionable steps
- 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
- High GPA from a well-respected Computer Science program
- Enjoy working in a friendly, collaborative environment
What you get
- Highly competitive salary
- Retirement/401K/Pension Savings globally
- Competitive Paid time off packages including birthdays off
- Access to a comprehensive mental health care program
- Health benefits from day one of employment
- Work from home reimbursements
Worth weighing
- No specific technologies or programming languages mentioned in the stack
- Salary ranges provided are broad and may vary significantly based on location and experience
- Remote-first environment may require strong self-management skills
Summarised from StackAdapt's posting. Read the full original.
Listed by StackAdapt on their greenhouse job board, last confirmed open on 2026-10-23. PitchMeAI is not the employer.
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