Real-Time ML Engineer – Low-Latency Pipelines (Remote)

StackAdapt; Canada; Remote; CAD 178,000 - 245,000; Full time

Benefits offered by this job

Competitive salary

Retirement plans

Paid time off

Mental health programs

Health benefits from day one

Work from home reimbursements

Optional WeWork membership

Training

Personal development support

Parental leave

Supportive culture

Job summary

StackAdapt seeks a Machine Learning Engineer for its Data Science team to build real-time data pipelines and ad optimization models for a high-throughput digital advertising platform. The role focuses on scalable systems and low-latency ML in production.

The candidate will design pipelines, implement ML algorithms, and work with microservices handling training, inference, and monitoring of thousands of models concurrently. A strong CS background and GPA are expected.

Qualifications

• Strong algorithm and software design skills.
• Experience with probabilistic or machine learning algorithms.
• Interest in scalable distributed systems.
• A high GPA from a reputable Computer Science program.

Responsibilities

• Designing scalable real-time data pipelines
• Implementing custom ML algorithms in low latency environments
• Working on microservice architectures for training, inference, and monitoring thousands of ML models concurrently

Skills

Algorithm design

Software design

ML algorithms

Probabilistic methods

Distributed systems

Education

Bachelor's degree in CS

Job description

StackAdapt seeks a Machine Learning Engineer for its Data Science team to build real-time data pipelines and ad optimization models for a high-throughput digital advertising platform. The role focuses on scalable systems and low-latency ML in production.

The candidate will design pipelines, implement ML algorithms, and work with microservices handling training, inference, and monitoring of thousands of models concurrently. A strong CS background and GPA are expected.