Machine Learning Engineer

Robotics Technologies - Menlo Park, CA

Full-time

Menlo Park, CA

Merchant Wholesalers, Durable Goods

About the position

The Machine Learning Engineer position at Robotics Technologies LLC is a critical role that focuses on developing and implementing machine learning models and algorithms. The ideal candidate will have a strong background in programming, particularly with multicore CPUs and vector cores, and will be expected to work collaboratively within a team to tackle complex challenges in the field of machine learning. This position requires a basic understanding of machine learning networks, including architectures such as ResNet and ResNeXt, as well as familiarity with machine learning operators like convolutions and fully connected layers. In addition to technical skills, the candidate must possess excellent communication abilities, as they will be required to articulate complex concepts to team members and stakeholders. Experience with machine learning frameworks such as Caffe2 and Pytorch is highly desirable, as is a general understanding of computer architecture. The role is designed for individuals who are eager to learn and grow within the field of machine learning, contributing to innovative projects that leverage cutting-edge technologies. Robotics Technologies LLC is committed to fostering an inclusive workplace, welcoming applicants from diverse backgrounds, including women, minorities, individuals with disabilities, and veterans. The company adheres to equal opportunity employment practices, ensuring that all hiring, promotion, and compensation decisions are made without discrimination based on race, color, religion, sex, sexual orientation, gender identity, age, disability, national origin, or any other protected status.

Responsibilities

• Develop and implement machine learning models and algorithms.
• Collaborate with team members to solve complex problems in machine learning.
• Utilize programming skills on multicore CPUs and vector cores.
• Apply knowledge of machine learning networks such as ResNet and ResNeXt.
• Work with machine learning operators including convolutions and fully connected layers.
• Communicate effectively with team members and stakeholders regarding project progress and challenges.

Requirements

• Previous experience with programming on multicore CPUs and vector cores is preferred.
• Basic understanding of machine learning networks such as ResNet and ResNeXt.
• Basic understanding of machine learning operators such as convolutions and fully connected layers.
• Team player with excellent communication skills.
• Experience with machine learning frameworks such as Caffe2 and Pytorch is a plus.
• Understanding of general computer architecture is a plus.