Meta AR/VR Job | RL Machine Learning Engineer | Oculus

Job(岗位): RL Machine Learning Engineer | Oculus

Type(岗位类型): Operations

Citys(岗位城市): Shanghai, China

Date(发布日期): 2022-5-9

Summary(岗位介绍)

Meta’s RL organization brings together world-class experts to develop and ship groundbreaking products at the intersection of hardware, software, and platform.

Technical Operations team has the responsibility for evaluating technologies and identifying supply chain solutions that allow RL Org to deliver products to market at scale. Hardware Test Engineer drive the development and deployment of manufacturing hardware test systems. You as machine learning engineer within hardware test engineering will help design machine learning model with manufacturing test dataset and ensure the model exhibit super performance vs human or traditional test metrology.

You must be responsive, flexible and able to succeed within an open collaborative peer environment. We are looking for someone with a productive mindset who can apply his/her expertise to solve problems in creative, insightful ways.

This position is full-time and based in China (Shanghai or Shenzhen).

Qualifications(岗位要求)

BS or MS degree in Computer Science or related field

3+ years of experience in building machine learning system

Experience with at least one of major machine learning frameworks

Experience in one or both of the following areas: object detection, audio classification

Intuitive understanding of machine learning algorithms, supervised and unsupervised modeling techniques and their performance characteristics

Strong programming skills in Java, Python, or C++

Ability to fast adapt to new technology, concept, approaches, and environment, with a learning attitude and improvement mindset. Self driven for problem-solving

Description(岗位职责)

Develop machine learning models with manufacturing test dataset(image, audio file..etc)

Evaluate and optimize model to ensure their effectiveness and performance

Design machine learning infrastructure to continue scale in future

Additional Requirements(额外要求)

Extensive knowledge in deep learning and computer vision techniques

Proficiency in Python and experience with PyTorch or TensorFlow

Experience with server architectures, and distributed systems

Can-do attitude with the ability to drive results, motivate and collaborate with xfn teams to close issues in a timely manner

Ability to be in a leadership position and achieve results with minimal supervision

Travel required: up to 30% domestically or internationally combined

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