Real-Time ML Engineer — Scalable Pipelines & Low-Latency

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

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.