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, which works on solving complex problems for the 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.
Candidates will design modular and scalable real-time data pipelines to handle huge datasets and suggest, implement, and coordinate architectural improvements for big data ML pipelines.
The position requires 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.

Requirements:

Candidates must have the ability to take an ambiguously defined task and break it 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.

StackAdapt offers a competitive salary.
Employees receive private medical insurance coverage.
There is auto-enrolment into the company pension scheme.
Work from home reimbursements are provided.
The company supports personal development initiatives, including coverage for conferences and courses.
An excellent parental leave policy is in place.
Employees enjoy a friendly, welcoming, and supportive culture.
There are social and team events held virtually.
Employees can participate in the "walk and wander" policy, allowing them to work anywhere in the world for up to 90 days a year.