Research Engineer, Core ML - Monetization AI

Meta; Menlo Park (CA); On-site; USD 90,000 - 150,000; Full time

Job summary

An innovative firm is seeking a Research Engineer to work on cutting-edge machine learning technologies. This role involves developing large-scale model architectures, optimizing training processes, and applying advanced techniques in reinforcement learning and natural language processing. You will collaborate with cross-functional teams to tackle data challenges and design efficient ML systems. If you are passionate about research and eager to translate findings into production, this opportunity offers a dynamic environment to make a significant impact in the field of AI.

Qualifications

• Research experience in deep learning, reinforcement learning, NLP, or computer vision.
• Experience in industry, academia, or government research roles.

Responsibilities

• Develop large-scale model architectures and optimize training.
• Collaborate with teams to design efficient ML systems.

Skills

Deep Learning

Reinforcement Learning

Natural Language Processing (NLP)

Computer Vision

Python Programming

PyTorch Framework

Teamwork

Problem Solving

Education

Bachelor's Degree in a Relevant Field

Master's or PhD in a Relevant Field

Job description

Research Engineer, Core ML - Monetization AI

Join to apply for the Research Engineer, Core ML - Monetization AI role at Meta.

This role involves developing large-scale model architectures, optimizing training and signal scaling, applying advanced sequence learning, and working on generative models, graph-aware large language models, AutoML pipelines, and reinforcement learning techniques. Collaboration with cross-functional teams to design efficient ML systems and address data challenges is essential.

Minimum Qualifications:

• Research experience in deep learning, reinforcement learning, NLP, computer vision, or related fields.
• Experience in industry, academia, or government research roles.
• Programming in Python and frameworks like PyTorch.
• Work authorization in the employment country.
• Currently pursuing or holding a Bachelor's degree in a relevant technical field, completed before joining Meta.

Preferred Qualifications:

• Master's or PhD in a relevant field.
• First author publications at peer-reviewed AI conferences.
• Experience translating research into production.
• Strong teamwork and problem-solving skills.