Machine Learning Engineer, SMB (Multiple Positions)

Bytedance • San Jose, CA

357d • $172,931 - $250,000

About The Position

Founded in 2012, ByteDance's mission is to inspire creativity and enrich life. With a suite of more than a dozen products, including TikTok, as well as platforms specific to the China market, including Toutiao, Douyin, and Xigua, ByteDance has made it easier and more fun for people to connect with, consume, and create content. Creation is the core of ByteDance's purpose. Our products are built to help imaginations thrive. This is doubly true of the teams that make our innovations possible. Together, we inspire creativity and enrich life - a mission we aim towards achieving every day. To us, every challenge, no matter how ambiguous, is an opportunity; to learn, to innovate, and to grow as one team. Status quo? Never. Courage? Always. At ByteDance, we create together and grow together. That's how we drive impact - for ourselves, our company, and the users we serve. Join us.

Requirements

• Must have a Master's degree in Computer Science, Engineering (any), Information Technology, Machine Learning, Data Science, Data Analytics, Statistics, Mathematics, or a related quantitative field, and 1 year of related work experience; OR a Bachelor's degree in Computer Science, Engineering (any), Information Technology, Machine Learning, Data Science, Data Analytics, Statistics, Mathematics, or a related quantitative field, and 3 years of related work experience.
• Of the required experience, must have 1 year of experience in each of the following: Coding using Python or C++; Developing code and identifying issues in Linux environment; Designing and implementing backend features using Python, Java, or C++ and refining, maintaining, and operating backend systems in a collaborative manner; and Translating business requirements into technical solutions, ensuring alignment with organizational goals and objectives.

Responsibilities

• Design and implement SMB product or platform features.
• Develop, deploy, optimize, troubleshoot and operate large distributed systems.
• Implement and run series of experiments and iterations and engage with machine learning system architects and develop key components in architecture.
• Understand and work on SMB architecture, technical stack and strictly follow engineering practices in the team.
• Manage owned feature priorities, deadlines, deliverables, and quality.
• Responsible for the maintenance of delivered features and systems.

Benefits

• Employees have day one access to medical, dental, and vision insurance.
• 401(k) savings plan with company match.
• Paid parental leave.
• Short-term and long-term disability coverage.
• Life insurance.
• Wellbeing benefits.
• 10 paid holidays per year.
• 10 paid sick days per year.
• 17 days of Paid Personal Time (prorated upon hire with increasing accruals by tenure).

What This Job Offers

• Job Type: Full-time
• Career Level: Entry Level
• Industry: Professional, Scientific, and Technical Services
• Education Level: Master's degree