Description:

StackAdapt is a self-serve advertising platform specializing in multi-channel solutions including native, display, video, connected TV, audio, in-game, and digital out-of-home ads.
The company empowers hundreds of digitally-focused companies to deliver outcomes and exceptional campaign performance every day.
The Machine Learning Engineer will join the Data Science team to solve complex problems for StackAdapt's digital advertising platform.
Responsibilities include designing modular and scalable real-time data pipelines to handle huge datasets, implementing custom ML algorithms in a low latency environment, and working on microservice architectures that run training, inference, and monitoring on thousands of ML models concurrently.
StackAdapt is a Remote First company, open to candidates in various operating locations globally.

Requirements:

Candidates must have the ability to take ambiguously defined tasks and break them down into actionable steps.
A deep understanding of algorithm and software design, concurrency, and data structures is required.
Experience in implementing probabilistic or machine learning algorithms is necessary.
An interest in designing scalable distributed systems is expected.
A high GPA from a well-respected Computer Science program is preferred.
Enjoyment of working in a friendly, collaborative environment with others is essential.

StackAdapt offers a competitive salary and equity.
Employees benefit from RRSP matching and 3 weeks of vacation, along with 3 personal care days, 1 Culture & Belief day, and birthdays off.
Access to a comprehensive mental health care platform and health benefits from day one of employment is provided.
Work from home reimbursements and an optional global WeWork membership are available for those seeking a change from their home office.
The company has a robust training and onboarding program, along with coverage and support for personal development initiatives such as conferences and courses.
Employees have access to StackAdapt programmatic courses and certifications to support continuous learning and mentorship opportunities with industry leaders.
An excellent parental leave policy and a friendly, welcoming, and supportive culture are part of the benefits.
Social and team events are organized to foster community within the company.