Machine Learning Engineer

Employment Type: Full-Time Location Type: Remote First

Position Overview

StackAdapt is seeking talented Machine Learning Engineers to join our Data Science team. This team is at the forefront of solving complex challenges for StackAdapt's digital advertising platform, a self-serve platform specializing in multi-channel solutions including native, display, video, connected TV, audio, in-game, and digital out-of-home ads. You will collaborate directly with Data Scientists, fellow Machine Learning Engineers, Engineering teams, and our CTO/Co-Founder to build robust pipelines and sophisticated ad optimization models. With databases processing millions of requests per second, you will have ample opportunity to work with vast amounts of data and tackle challenging problems.

Learn more about our Data Science Team: https://alldus.com/ie/blog/podcasts/aiinaction-ned-dimitrov-stackadapt/ Learn more about our team culture: https://www.stackadapt.com/careers/data-science Watch our talk at Amazon Tech Talks: https://www.youtube.com/watch?v=lRqu-a4gPuU

StackAdapt is a Remote First company, open to candidates globally.

Responsibilities

• 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.

Requirements

• Ability to take an ambiguously defined task and break it down 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.
• A high GPA from a well-respected Computer Science program.
• Enjoy working in a friendly, collaborative environment with others.

StackAdapters Enjoy

• Competitive salary + equity
• RRSP matching
• 3 weeks vacation + 3 personal care days + 1 Culture & Belief day + birthdays off
• Access to a comprehensive mental health care platform
• Health benefits from day one of employment
• Work from home reimbursements
• Optional global WeWork membership for those who want a change from their home office
• Robust training and onboarding program
• Coverage and support of personal development initiatives (conferences, courses, etc.)
• Access to StackAdapt programmatic courses and certifications to support continuous learning
• Mentorship opportunities with industry leaders
• An awesome parental leave policy
• A friendly, welcoming, and supportive culture
• Our social and team events!

Application Instructions

If this role speaks to you, please apply. We'd love to speak with you. Due to a high volume of interest, only those shortlisted for interview will be contacted. #LI-KR1

About StackAdapt

StackAdapt is a diverse and inclusive team of collaborative, hardworking individuals trying to make a dent in the universe. We are committed to fostering a workplace where everyone feels welcome, regardless of who you are, where you are from, who you love, your faith, disability status, ethnicity, or gender identity. Please let our Talent team know if you have any requests or requirements to support you throughout any part of the interview process.

We have been recognized for our diverse and supportive workplace, high-performing campaigns, award-winning customer service, and innovation. Awards include:

• Ad Age Best Places to Work 2024
• G2 Top Software and Top Marketing and Advertising Product for 2024
• Campaign’s Best Places to Work 2023 for the UK
• 2024 Best Workplaces for Women and in Canada by Great Place to Work®
• #1 DSP on G2 and leader in a number of categories including Cross-Channel Advertising

#LI-Remote