Remote ML Engineer for Real-Time Ad Optimization

StackAdapt; United Kingdom; Remote; GBP 70,000 - 90,000; Full time

Benefits offered by this job

Highly competitive salary

Retirement/401K/Pension Savings

Competitive Paid time off packages

Mental health care program

Health benefits from day one

Work from home reimbursements

Optional global WeWork membership

Comprehensive training and onboarding program

Support for personal development initiatives

Access to programmatic courses and certifications

Awesome parental leave program

Friendly and supportive culture

Social and team events

Job summary

A leading tech company is seeking a Machine Learning Engineer for their Data Science team. This role involves designing scalable data pipelines, implementing machine learning algorithms, and working in a collaborative, remote-first environment. Ideally, candidates should possess a strong background in algorithm design and data structures, along with a Bachelor's degree in Computer Science. The position offers remote work flexibility, competitive salary, and comprehensive benefits starting from day one.

Qualifications

• Ability to break down ambiguously defined tasks into actionable steps.
• Experience in implementing probabilistic or machine learning algorithms.
• High GPA from a well-respected Computer Science program.

Responsibilities

• Design modular and scalable real-time data pipelines.
• Implement custom ML algorithms in a low latency environment.
• Work on microservice architectures with thousands of ML models.

Skills

Algorithm design

Software design

Concurrency

Data structures

Machine learning algorithms

Education

Bachelor's degree in Computer Science

Job description

A leading tech company is seeking a Machine Learning Engineer for their Data Science team. This role involves designing scalable data pipelines, implementing machine learning algorithms, and working in a collaborative, remote-first environment. Ideally, candidates should possess a strong background in algorithm design and data structures, along with a Bachelor's degree in Computer Science. The position offers remote work flexibility, competitive salary, and comprehensive benefits starting from day one.