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.
StackAdapt is looking to add Senior and Staff Machine Learning Engineers to its data science team to solve complex problems for its digital advertising platform.
The role involves working directly with Data Scientists, Machine Learning engineers, Engineering teams, and the CTO/Co-Founder on building pipelines and ad optimization models.
Responsibilities include designing modular and scalable real-time data pipelines to handle huge datasets, suggesting and implementing architectural improvements for big data ML pipelines, understanding and 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 located anywhere in North America.

Requirements:

Candidates must have the ability to take ambiguously defined tasks and break them down into actionable steps.
The role requires the ability to follow through complex projects to completion, both through independent implementation and by coordinating others.
A deep understanding of algorithm and software design, concurrency, and data structures is essential.
Experience in implementing probabilistic or machine learning algorithms is required.
Candidates should have experience in designing scalable distributed systems.
A high GPA from a well-respected Computer Science program or equivalent experience in a competitive, innovative tech company is necessary.
Enjoyment of working in a friendly, collaborative environment with others is important.

StackAdapters enjoy a competitive salary plus equity.
The company offers RRSP matching and 3 weeks of vacation, along with 3 personal care days, 1 Culture & Belief day, and birthdays off.
Employees have access to a comprehensive mental health care platform and health benefits from day one of employment.
Work from home reimbursements are provided, along with an optional global WeWork membership for those who want a change from their home office.
There is a robust training and onboarding program, as well as 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.
The company has an awesome parental leave policy and promotes a friendly, welcoming, and supportive culture, along with social and team events.