Machine learning engineer in digital advertising

StackAdapt Inc.; United States; Hybrid; USD 109,000 - 150,000; Full time

Benefits offered by this job

Retirement/Pension savings

Paid time off, including birthday

Health benefits from day one

Work-from-home reimbursements

Global WeWork access

Global hubs in London and Toronto

Job summary

StackAdapt Inc. is seeking a capable engineer to build real time data pipelines and implement ML algorithms in a low‑latency setting. You will contribute to microservice architectures that train, infer, and monitor thousands of models concurrently.

The role emphasizes strong problem solving in distributed systems, a high CS GPA, and a collaborative, friendly team culture. This position offers international work options and competitive compensation.

Qualifications

• Ability to take ambiguously defined tasks and break them into steps.
• Deep understanding of algorithms and software design, concurrency, and data structures.
• Experience implementing probabilistic or machine learning algorithms.
• Interest in scalable distributed systems.
• High GPA from a well‑respect CS program.
• Enjoys collaborative, friendly work environments.

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.

Skills

Ambiguity breakdown

Algorithms

Concurrency

Data structures

ML algorithms

Distributed systems

GPA requirement

Education

High GPA in CS

Job description

Описание:

StackAdapt is the leading technology company that empowers marketers to reach, engage, and convert audiences with precision. With 465 billion automated optimizations per second, the AI-powered StackAdapt Marketing Platform seamlessly connects brand and performance marketing to drive measurable results across the entire customer journey. The most forward-thinking marketers choose StackAdapt to orchestrate high-impact campaigns across programmatic advertising and marketing channels.

Задачи:

• 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

Требования:

• 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

Условия:

Base Salary Band: £82,125 GBP - £112,922 GBP 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!