Senior/Staff Machine Learning Engineer at StackAdapt

Germany

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Not SpecifiedCompensation

Senior (5 to 8 years), Expert & Leadership (9+ years)Experience Level

Full TimeJob Type

UnknownVisa

Advertising, TechnologyIndustries

Requirements

Ability to take an ambiguously defined task and break it down into actionable steps
Ability to follow through complex projects to completion, both by independent implementation and by coordinating others
Deep understanding of algorithm and software design, concurrency, and data structures
Experience in implementing probabilistic or machine learning algorithms
Experience in designing scalable distributed systems
High GPA from a well-respected Computer Science program or equivalent experience in a competitive, innovative tech company
Enjoy working in a friendly, collaborative environment

Responsibilities

Design modular and scalable real-time data pipelines to handle huge datasets
Suggest, implement, and coordinate architectural improvements for big data ML pipelines
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

Skills

Key technologies and capabilities for this role

Machine LearningProbabilistic AlgorithmsAlgorithmsData StructuresConcurrencySoftware DesignDistributed Systems

Questions & Answers

Common questions about this position

Is this position remote, and where is it located?

This is a remote position available in the UK.

What benefits does StackAdapt offer?

Benefits include competitive salary, private medical insurance, company pension scheme, work from home reimbursements, personal development support, awesome parental leave policy, friendly culture, social events, and a walk and wander policy allowing work anywhere in the world for up to 90 days a year.

What key skills are required for the Senior/Staff Machine Learning Engineer role?

Required skills include deep understanding of algorithm and software design, concurrency, and data structures; experience implementing probabilistic or machine learning algorithms; experience designing scalable distributed systems; and ability to break down ambiguous tasks and follow through complex projects.

What is the company culture like at StackAdapt?

The culture is friendly, welcoming, supportive, and collaborative, with social and team events held virtually.

What makes a strong candidate for this Machine Learning Engineer position?

Strong candidates have a high GPA from a respected Computer Science program or equivalent experience in a competitive tech company, plus the ability to handle ambiguous tasks, lead complex projects, and thrive in a collaborative environment.

StackAdapt

Programmatic advertising and digital marketing platform

About StackAdapt

StackAdapt specializes in programmatic advertising, which uses software to automate the buying of digital ads. The company provides a platform that enables businesses to run display, video, and native advertising campaigns efficiently. Its main product is a Demand Side Platform (DSP) that allows advertisers to purchase digital ad space in real-time, ensuring that ads reach the right audience at the right moment. Unlike many competitors, StackAdapt does not require monthly minimum spending, giving clients flexibility in their advertising budgets. The company also offers a Creative Studio to help clients enhance their ad content for better results. StackAdapt is particularly recognized for its expertise in native advertising, boasting the largest scale in the industry with numerous integrations and partnerships. The goal of StackAdapt is to empower agencies and brands to maximize their digital advertising efforts through a comprehensive and flexible platform.

Toronto, CanadaHeadquarters

2014Year Founded

$4.2MTotal Funding

SERIES_BCompany Stage

Consumer Software, EntertainmentIndustries

1,001-5,000Employees