StackAdapt Logo

StackAdapt

Machine Learning Engineer

Posted 8 Days Ago
Remote
Hiring Remotely in United States
Junior
Remote
Hiring Remotely in United States
Junior
As a Machine Learning Engineer, you'll design scalable data pipelines, implement ML algorithms, and collaborate with data scientists and engineers at StackAdapt.
The summary above was generated by AI

StackAdapt is a self-serve advertising platform that specializes in multi-channel solutions including native, display, video, connected TV, audio, in-game, and digital out-of-home ads. We empower hundreds of digitally-focused companies to deliver outcomes and exceptional campaign performance everyday. StackAdapt was founded with a vision to be more than an advertising platform, it’s a hub of innovation, imagination and creativity.


We're looking to add Machine Learning Engineers to our Data Science team! This team works on solving complex problems for StackAdapt's digital advertising platform. You'll be working directly with our Data Scientists, Machine Learning Engineers, Engineering teams, and our CTO/Co-Founder on building pipelines and ad optimization models. With databases that process millions of requests per second, there's no shortage of data and problems to tackle.


Want to learn more about our Data Science Team: https://alldus.com/ie/blog/podcasts/aiinaction-ned-dimitrov-stackadapt/

Learn more about our team culture here: 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, and we are open to candidates in various of our operating locations throughout the globe!

What you'll be doing:

  • 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

What you'll bring to the table:

  • Have the ability to take an ambiguously defined task, and break it down into actionable steps
  • Have 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
  • 401K 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!

If this role speaks to you then 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



StackAdapt is a diverse and inclusive team of collaborative, hardworking individuals trying to make a dent in the universe. No matter who you are, where you are from, who you love, follow in faith, disability (or superpower) status, ethnicity, or the gender you identify with (if you’re comfortable, let us know your pronouns), you are welcome at StackAdapt. If you have any requests or requirements to support you throughout any part of the interview process, please let our Talent team know.


About StackAdapt


We've been recognized for our diverse and supportive workplace, high performing campaigns, award-winning customer service, and innovation. We've been awarded:



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

Top Skills

Data Pipelines
Machine Learning
Microservices
Python

Similar Jobs

9 Days Ago
Easy Apply
Remote
United States
Easy Apply
225K-315K
Senior level
225K-315K
Senior level
AdTech • Big Data • Machine Learning • Marketing Tech • Mobile • Software
As a Lead Machine Learning Engineer, you will build deep learning models, design scalable systems, and collaborate with an experienced team to enhance bidding decision-making in auctions.
Top Skills: AWSGoMlPysparkPythonPyTorchWeights & Biases
6 Days Ago
Remote
Hybrid
USA
110K-180K Annually
Mid level
110K-180K Annually
Mid level
Cloud • Computer Vision • Information Technology • Sales • Security • Cybersecurity
As a Machine Learning Engineer III, you'll build scalable ML systems, productionize research, optimize algorithms, and enhance cybersecurity efforts using advanced software engineering practices.
Top Skills: AirflowAWSDockerGCPJenkinsKubernetesMlflowPythonRaySparkTerraform
3 Days Ago
Easy Apply
Remote
Hybrid
United States
Easy Apply
165K-295K Annually
Senior level
165K-295K Annually
Senior level
Artificial Intelligence • Cloud • Computer Vision • Hardware • Internet of Things • Software
As a Staff Machine Learning Engineer, lead AI initiatives, optimize ML models on Edge devices, and work with petabyte-scale data. Collaborate across teams to enhance product features and drive customer success.
Top Skills: C++PythonRayRustSpark

What you need to know about the Charlotte Tech Scene

Ranked among the hottest tech cities in 2024 by CompTIA, Charlotte is quickly cementing its place as a major U.S. tech hub. Home to more than 90,000 tech workers, the city’s ecosystem is primed for continued growth, fueled by billions in annual funding from heavyweights like Microsoft and RevTech Labs, which has created thousands of fintech jobs and made the city a go-to for tech pros looking for their next big opportunity.

Key Facts About Charlotte Tech

  • Number of Tech Workers: 90,859; 6.5% of overall workforce (2024 CompTIA survey)
  • Major Tech Employers: Lowe’s, Bank of America, TIAA, Microsoft, Honeywell
  • Key Industries: Fintech, artificial intelligence, cybersecurity, cloud computing, e-commerce
  • Funding Landscape: $3.1 billion in venture capital funding in 2024 (CED)
  • Notable Investors: Microsoft, Google, Falfurrias Management Partners, RevTech Labs Foundation
  • Research Centers and Universities: University of North Carolina at Charlotte, Northeastern University, North Carolina Research Campus

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account