360 Developer Partner Assembly jobs in Redwood City,CA

$70,304.00

This position is eligible for a monthly performance bonus of up to $1,000

Medical, dental & vision insurance

Retirement fund

Professional development training

Commuter benefits

Flexible healthcare spending account

Mental health + wellbeing employee assistance program

High School Diploma, GED, or equivalent work experience

One-year work experience in Retail Management required

One-year customer service experience required

Proficient in Microsoft Office Suite

Ability to pass a background check and drug screen, where applicable for position

Ability to speak and read English proficiently

The base salary range for this position is listed below.

USA, CA, Sunnyvale - 211,400.00 - 286,000.00 USD annually

Your Amazon package will include sign-on payments and restricted stock units (RSUs).

Final compensation will be determined based on factors including experience, qualifications, and location.

Health insurance (medical, dental, vision, prescription, Basic Life & AD&D; insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage)

401(k) matching

Paid time off

Parental leave

3+ years of scientists or machine learning engineers management experience

Knowledge of machine learning approaches and algorithms

PhD, or Master's degree

Knowledge of engineering practices and patterns for the full software/hardware/networks development life cycle, including coding standards, code reviews, source control management, build processes, testing, certification, and livesite operations

Experience programming in Java, C++, Python or related language

Experience with deep learning libraries such as PyTorch, TensorFlow, MxNet

Research publications in computer vision, deep learning or machine learning at peer-reviewed workshops, conferences or journals

Experience building machine learning models or developing algorithms for business application

Experience building complex software systems, especially involving deep learning, machine learning and computer vision, that have been successfully delivered to customers

Experience in developing and deploying LLMs in production on GPUs, Neuron, TPU or other AI acceleration hardware, or experience in machine learning, data mining, information retrieval, statistics or natural language processing

Experience with training and deploying machine learning systems to solve large-scale optimizations, or experience in development or technical support

Experience developing products for volume production

Experience with conducting research in a corporate setting

- Experience with tools such as PyTorch, TensorFlow, ONNX, TFLite, scikit-learn, numpy, scipy or edge inference frameworks

- Experience building machine learning models or developing algorithms for business application