Senior Machine Learning Engineer - Code AI/GPT

$136,800 - $355,000/Yr

Bytedance - San Jose, CA

Full-time - Mid Level

San Jose, CA

Professional, Scientific, and Technical Services

About the position

ByteDance is seeking a Senior Machine Learning Engineer to join our Dev Infra Research Center. This role is pivotal in our mission to build a global platform for creation and communication. As a member of our team, you will engage in groundbreaking research and development, pushing the boundaries of AI and machine learning. You will be responsible for developing machine learning systems that enhance developer productivity and create innovative solutions to complex challenges that have not been addressed by other tech companies. Your work will involve the deployment of machine learning services, online serving of machine learning models, and iterating on systems based on customer-driven scenarios. This position offers the opportunity to work at an unprecedented scale and velocity, making a significant impact on the world through technology. At ByteDance, we believe in the power of creativity and collaboration. Our team is dedicated to inspiring creativity and enriching lives through our products. We are looking for a top-notch AI/ML Engineer who is fluent in programming language semantics and has a strong background in machine learning algorithms and platforms. You will be part of a dynamic team that values innovation and encourages growth, allowing you to thrive in a fast-paced environment. Join us to help shape the future of AI and machine learning at ByteDance.

Responsibilities

• Development of machine learning systems, including key computing development, task scheduling, and machine learning system management and operation
• Deployment of machine learning services
• Online serving of machine learning models
• Iterate and develop the system using customer-driven scenarios

Requirements

• Master's degree or above in Computer Science or related disciplines
• 2+ years of experience in machine learning or related fields
• Mastery of distributed and parallel computing principles
• Knowledge of recent advances in computing, storage, networking, and hardware technologies
• Familiarity with state-of-the-art machine learning algorithms and mainstream platforms (e.g., Tensorflow, Pytorch, MxNet)
• Proficiency in at least one or two programming languages in a Linux environment such as C/C++, Go, Python
• Experience in GPU-based high-performance computing is a plus

Benefits

• 100% premium coverage for employee medical insurance
• Approximately 75% premium coverage for dependents
• Health Savings Account (HSA) with company match
• Dental and Vision insurance
• Short/Long term Disability insurance
• Basic Life, Voluntary Life and AD&D insurance plans
• Flexible Spending Account (FSA) options
• 10 paid holidays per year
• 17 days of Paid Personal Time Off (PPTO)
• 10 paid sick days per year
• 12 weeks of paid Parental leave
• 8 weeks of paid Supplemental Disability
• Mental and emotional health benefits through EAP and Lyra
• 401K company match
• Gym and cellphone service reimbursements