Machine Learning Engineer

StackAdapt

Machine Learning Engineer building real time data pipelines and algorithms at StackAdapt. Collaborating with Data Scientists and engineering teams to optimize digital advertising.

Posted 7/20/2026full-timeRemote • California, New York • 🇺🇸 United StatesMid-LevelSeniorWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in designing modular and scalable real-time data pipelines and implementing custom machine learning algorithms in low latency environments. Proficient in working with microservice architectures and has a strong understanding of algorithm design, concurrency, and data structures.

Highest-signal resume keywords

Real-Time Data Pipeline DesignCustom Machine Learning AlgorithmsMicroservice ArchitectureProbabilistic AlgorithmsScalable Distributed Systems

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Data Pipeline DesignMachine Learning AlgorithmsConcurrencyData StructuresAlgorithm Design

Soft Skills

CollaborationProblem-SolvingActionable Task Breakdown

Industry Keywords

Scalable SystemsLow Latency EnvironmentMicroservicesDistributed Systems

Tech Stack

Tools & technologies

Distributed Systems

About the role

Key responsibilities & impact

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

What you’ll need

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

Benefits

Comp & perks

Highly competitive salary
Retirement/ 401K/ Pension Savings globally
Competitive Paid time off packages including birthday's off!
Access to a comprehensive mental health care program
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 and hubs in London and Toronto
Robust training and onboarding program
Coverage and support of personal development initiatives (conferences, courses, books etc)
Access to StackAdapt programmatic courses and certifications to support continuous learning
An awesome parental leave program
A friendly, welcoming, and supportive culture
Our social and team events!