Machine Learning Engineer, SMB - San Jose, CA, United States - TikTok

Description

TikTok is the leading destination for short-form mobile video. TikTok has global offices including Los Angeles, New York, London, Paris, Berlin, Dubai, Singapore, Jakarta, Seoul and Tokyo.
Creation is the core of TikTok's purpose. Our platform is built to help imaginations thrive. This is doubly true of the teams that make TikTok possible.
At TikTok, we create together and grow together. That's how we drive impact - for ourselves, our company, and the communities we serve.

SMB engineering team is responsible for developing software to empower all small and medium businesses to succeed by building scalable platforms, seamless products and comprehensive solutions.

In the next few years, while SMB revenue will be the significant portion of total ads business, as an engineering team, we also dedicate ourselves to solving challenging but interesting problems in a more scalable and innovative way through advanced software architecture, engineering practice and cutting-edge algorithms.

At the same time, we closely work with strategies, data scientists, product managers, operations and sales teams. Diversity in skills, culture and background is our source of power.

We are looking for machine learning engineers who are passionate about innovating, creating and evolving scalable and reliable software, architecture and technical solutions to systematically and aggressively enable our SMB customers' success and grow our company's revenue.

You will work on many different challenging problems, such as creative recommendation, ads delivery, personalized coupons, LLM-based customer support, etc.

Design and implement SMB product or platform features.

• Implement and run series of experiments and iterations, engage with machine learning system architects and develop key components in architecture.
• Manage owned feature priorities, deadlines, deliverables, and quality. Bachelor's degree in computer science or related technical discipline
• 3+ years of experience in software engineering. Strong Computer Science fundamentals (algorithms, data structures, software design) and problemsolving skills
• 2 years of experience with data structures or algorithms in either an academic or industrial setting.
• 2 years of experience with machine learning algorithms and tools (e.g., TensorFlow), artificial intelligence, deep learning and/or natural language processing.
• Have relevant experience in advertising, ecommerce and video industries.
• Master's degree or PhD in Electrical Engineering, Computer Science, or a related field.
• Machine Learning or GPUs) or similar highperformance designs, advanced LLM architecture.
• Understanding of computer architecture/memory subsystem architecture.

TikTok is committed to creating an inclusive space where employees are valued for their skills, experiences, and unique perspectives.

Our platform connects people from across the globe and so does our workplace. At TikTok, our mission is to inspire creativity and bring joy.

To achieve that goal, we are committed to celebrating our diverse voices and to creating an environment that reflects the many communities we reach.

TikTok is committed to providing reasonable accommodations in our recruitment processes for candidates with disabilities, pregnancy, sincerely held religious beliefs or other reasons protected by applicable laws.

If you need assistance or a reasonable accommodation, please reach out to us at tt.

Base pay is one part of the Total Package that is provided to compensate and recognize employees for their work, and this role may be eligible for additional discretionary bonuses/incentives, and restricted stock units.

We cover 100% premium coverage for employee medical insurance, approximately 75% premium coverage for dependents and offer a Health Savings Account(HSA) with a company match.

As well as Dental, Vision, Short/Long term Disability, Basic Life, Voluntary Life and AD&D insurance plans. In addition to Flexible Spending Account(FSA) Options like Health Care, Limited Purpose and Dependent Care.

Our time off and leave plans are: 10 paid holidays per year plus 17 days of Paid Personal Time Off (PPTO) (prorated upon hire and increased by tenure) and 10 paid sick days per year as well as 12 weeks of paid Parental leave and 8 weeks of paid Supplemental Disability.

We also provide generous benefits like mental and emotional health benefits through our EAP and Lyra. A 401K company match, gym and cellphone service reimbursements.