Job Description
We're looking to add Senior and Staff 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 located anywhere in the UK for this position.
What you'll be doing:
Design modular and scalable real time data pipelines to handle huge datasetsSuggest, implement, and coordinate architectural improvements for big data ML pipelinesUnderstand and implement custom ML algorithms in a low latency environmentWork on microservice architectures that run training, inference, and monitoring on thousands of ML models concurrentlyWhat you'll bring to the table:
Have the ability to take an ambiguously defined task, and break it down into actionable stepsAbility to follow through complex projects to completion, both by independent implementation and by coordinating othersHave deep understanding of algorithm and software design, concurrency, and data structuresExperience in implementing probabilistic or machine learning algorithmsExperience in designing scalable distributed systemsA high GPA from a well-respected Computer Science program or equivalent experience in a competitive, innovative, tech companyEnjoy working in a friendly, collaborative environment with othersStackAdapters enjoy:
Competitive salary Private Medical Insurance coverAuto-enrolment into the company pension schemeWork from home reimbursementsCoverage and support of personal development initiatives (conferences, courses, etc)An awesome parental leave policyA friendly, welcoming, and supportive cultureOur social and team events (virtually!)Take part in our walk and wander policy and work anywhere in the world for up to 90 days a year
