Lead Machine Learning Engineer, Ad Performance

Y-Axis; Teletrabalho; BRL 150.000 - 200.000; Tempo integral

Resumo da oferta

A leading technology company is seeking a Lead Machine Learning Engineer to join their team in Brazil, specifically in Manaus. The role involves building scalable ML systems to enhance advertising performance and improve ad targeting across global platforms. Candidates should have over 10 years of experience in machine learning, software development, and a strong skill set in programming languages such as Python and SQL. This position offers remote work opportunities and will require strong communication and project management skills.

Qualificações

• 10 years or more of experience in machine learning and related fields.

Responsabilidades

• Elevate advertising performance by building scalable ML systems.
• Collaborate to design and refine algorithms to improve ad targeting.

Conhecimentos

Machine Learning

Software Development

Advertising Systems

Ad Performance Optimization

Recommendation Systems

Advertising Algorithms

NLP

Computer Vision

Python

SQL

TensorFlow

PyTorch

Distributed Data Processing

Cloud Infrastructure

Analytical Problem-Solving

Communication

Project Management

Descrição da oferta de emprego

Lead Machine Learning Engineer, Ad Performance at LP Careers Page

Full Time

Start Date : Immediate

Expiry Date : 13 Jan, 26

Posted On : 15 Oct, 25

Experience : 10 year(s) or above

Remote Job : Yes

Telecommute : Yes

Sponsor Visa : No

Advertising Services

Description

Skills

Machine Learning, Software Development, Advertising Systems, Ad Performance Optimization, Recommendation Systems, Advertising Algorithms, NLP, Computer Vision, Python, SQL, TensorFlow, PyTorch, Distributed Data Processing, Cloud Infrastructure, Analytical Problem-Solving, Communication, Project Management

Responsibilities

Elevate Launch Potato's advertising performance by building scalable, production-ready ML systems that optimize revenue while enhancing user experience.

Collaborate across teams to design, deploy, and refine algorithms that improve ad targeting, relevance, and efficiency at global scale.