Meta AR/VR Job | Software Engineer, Machine Learning – Reality Labs
Job（岗位）: Software Engineer, Machine Learning – Reality Labs
Type（岗位类型）: Machine Learning
Citys（岗位城市）: Redmond, WA
Date（发布日期）: 2023-5-27
Summary（岗位介绍）
Reality Labs at Meta is building products that make it easier for people to connect with the ones they love most, enjoy top-notch, wire-free VR, and push the future of computing platforms. We are a team of world-class experts developing and shipping products at the intersection of hardware, software and content.
As a Machine Learning Engineer on the Reality Labs team at Meta, you can help build new, innovative hardware and software that radically redefine the way people work, play and connect. What we build today could one day be the norm. So to be here today is to truly be at the heart of change and the frontier of what’s to come. We’re the people helping to define the metaverse. We may not have all the answers. But together, we’re getting closer.
Qualifications（岗位要求）
6+ years of experience in software engineering, or a relevant field or 4+ years of experience if you have a PhD
2+ years of experience in one or more of the following areas: machine learning, recommendation systems, pattern recognition, data mining, artificial intelligence, or related technical field
Experience with developing machine learning models at scale from inception to business impact
Knowledge developing and debugging in C/C++ and Java, or experience with scripting languages such as Python, Perl, PHP, and/or shell scripts
Experience demonstrating technical leadership working with teams, owning projects, defining and setting technical direction for projects
Bachelor’s degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience.
Description（岗位职责）
Play a critical role in setting the direction and goals for a sizable team, in terms of project impact, ML system design, and ML excellence
Adapt standard machine learning methods to best exploit modern parallel environments (e.g., distributed clusters, multicore SMP, and GPU)
Re-evaluate the trade-offs of already shipped features/ML systems, and you are able to drive large efforts across multiple teams to reduce technical debt, designing from first principles when appropriate
Leading a team from a technical perspective to develop ML best practices and influence engineering culture
Be a go-to person to escalate the most complex online/production performance and evaluation issues, that require an in-depth knowledge of how the machine learning system interacts with systems around it
Develop highly scalable classifiers and tools leveraging machine learning, data regression, and rules based models
Suggest, collect and synthesize requirements and create effective feature roadmap
Code deliverables in tandem with the engineering team
Additional Requirements（额外要求）
Masters degree or PhD in Computer Science or a related technical field
Exposure to architectural patterns of large scale software applications
