Software Engineer in Large Model System Graduate (Machine Learning Sys-US) - 2024 Start (BS/MS)

6 Months ago • Upto 1 Years • Research & Development • $112,200 PA - $177,000 PA

Job Summary

Job Description

ByteDance Doubao Team is seeking talented Software Engineers to join their team in 2024. You'll be responsible for developing machine learning systems for large-scale models, focusing on areas like search, recommendation, advertising, and content creation. You'll design and build the architecture of these systems, ensuring high concurrency, reliability, and scalability. The role involves working with various sub-directions of machine learning systems, including resource scheduling, model training, inference, data management, and workflow. You'll also iterate and refine the system based on user needs. This position offers graduates a chance to contribute to cutting-edge AI technology and shape the future of user interactions.
Must have:
  • Graduate in Computer Science or related field
  • Experience with distributed and parallel computing
  • Knowledge of machine learning algorithms and platforms
  • Proficiency in programming languages like C/C++, Go, Python
Good to have:
  • ACM/ICPC, NOI/IOI competition experience
  • NLP, CV algorithm and technology knowledge
  • Experience with large model training
  • GPU-based high-performance computing expertise
  • Prior internship, work experience, coding competitions, or publications
  • Curiosity towards new technologies and entrepreneurship
  • Strong creativity and problem-solving skills
Perks:
  • 100% premium coverage for employee medical insurance
  • 75% premium coverage for dependents
  • Health Savings Account (HSA) with a company match
  • Dental, Vision, 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

Job Details

Responsibilities
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. Why Join Us 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." About the team Founded in 2023, ByteDance Doubao Team is dedicated to crafting the industry's most advanced LLMs. We aim to lead global research and foster both technological and social progress. With a long-term vision and a strong commitment to the AI field, the Team conducts research in a range of areas including natural language processing (NLP), computer vision (CV), and speech recognition and generation. It boasts a robust international presence with labs and research facilities in China, Singapore, and the US. Leveraging substantial data and computing resources and through continued investment in these domains, our team has built a proprietary general-purpose model with multimodal capabilities. This model supports over 50 downstream business services including Doubao, Coze, and Dreamina, which are available to enterprise customers via the Volcano Engine. Currently, the Doubao App is the most used AIGC application in the China market. We are looking for talented individuals to join our team in 2024. As a graduate, you will get unparalleled opportunities for you to kickstart your career, pursue bold ideas and explore limitless growth opportunities. Co-create a future driven by your inspiration with TikTok. Successful candidates must be able to commit to a start date before the end of 2024. Please state your availability and graduation date clearly in your resume. Applications will be reviewed on a rolling basis. We encourage you to apply early. Candidates can apply to a maximum of two positions and will be considered for jobs in the order you apply. The application limit is applicable to TikTok and its affiliates' jobs globally. Responsibility: Responsible for the machine learning system development of the company's large-scale models, researching new applications and solutions of related technologies in areas such as search, recommendation, advertising, content creation, conversation, and customer service, meeting the growing demand for intelligent interaction from users, and comprehensively improving users' lifestyles and communication methods in the future world. The main work directions include: ·Responsible for the design and development of the architecture of large-scale machine learning systems, solving technical difficulties such as high concurrency, high reliability, and high scalability of the system. ·Covering various sub-directions of machine learning system, including resource scheduling, model training, model inference, data management, and workflow ·Iterate and develop the system using customer-driven scenarios.
Qualifications
·Graduate with a background in Computer Science, related technical field or equivalent industrial experience ·Master distributed, parallel computing principles; know the recent advances in computing, storage, networking, and hardware technologies; ·Familiar with the state-of-the-art machine learning algorithms and mainstream platforms (e.g., Tensorflow, Pytorch, MxNet); ·Master at least one or two programming languages in Linux environment such as C/C++, Go, Python, etc; Preferred Experience: ·Winners of ACM/ICPC, NOI/IOI and other competitions ·Familiar with NLP, CV-related algorithms, and technologies, and experienced in large model training ·Experience in GPU based high-performance computing ·Demonstrated a related technical experience from previous internship, work experience, coding competitions, or publications ·Curiosity towards new technologies and entrepreneurship ·High levels of creativity and quick problem-solving capabilities ByteDance 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 ByteDance, 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. We are passionate about this and hope you are too. ByteDance Inc. 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 earlycareers.accommodations@bytedance.com. By submitting an application for this role, you accept and agree to our global applicant privacy policy, which may be accessed here: https://jobs.bytedance.com/en/legal/privacy.
Job Information
【For Pay Transparency】Compensation Description (annually)

The base salary range for this position in the selected city is $112200 - $177000 annually.

Compensation may vary outside of this range depending on a number of factors, including a candidate’s qualifications, skills, competencies and experience, and location. 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.

Our company benefits are designed to convey company culture and values, to create an efficient and inspiring work environment, and to support our employees to give their best in both work and life. We offer the following benefits to eligible employees:

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. The Company reserves the right to modify or change these benefits programs at any time, with or without notice.

For Los Angeles County (unincorporated) Candidates:

Qualified applicants with arrest or conviction records will be considered for employment in accordance with all federal, state, and local laws including the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act. Our company believes that criminal history may have a direct, adverse and negative relationship on the following job duties, potentially resulting in the withdrawal of the conditional offer of employment:

1. Interacting and occasionally having unsupervised contact with internal/external clients and/or colleagues;

2. Appropriately handling and managing confidential information including proprietary and trade secret information and access to information technology systems; and

3. Exercising sound judgment.

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