Research Scientist in Foundation Model (Music) - 2025 Start (PhD)

3 Hours ago • All levels

About the job

SummaryBy Outscal

Research Scientist in Foundation Model (Music) at ByteDance Doubao Team. Requires PhD in Computer Science or related field. Experience in deep learning and music intelligence, including deep generative models, representation learning, and music information retrieval.
Responsibilities
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. 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. Team Intro The Speech team's mission is to empower content interaction and creation using speech & audio related technologies. The team focuses on cutting-edge R&D in areas like speech & audio, music processing, natural language understanding and multimodal deep learning. The team builds AI training and inference systems based on GPUs and advances the state-of-the-art of AI system technologies to accelerate large audio/music language models. The team is also responsible for the development of the complete engineering cycle of large models, including data preparing/processing, model training/evaluation/deployment, etc. 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 ByteDance. 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 ByteDance and its affiliates' jobs globally. Responsibilities ·Conduct cutting-edge machine learning research and development in music understanding and generation. ·Transfer advanced technologies to ByteDance products. ·Explore new products with music intelligence technology at its core.
Qualifications
Minimum Qualifications • Ph.D. graduate with a background in computer science, mathematics, engineering, or a related field • Experience in one or more areas of deep learning and music intelligence, including but not limited to: - Deep generative models - Representation learning - Sequence classification - Music information retrieval and source separation - Speech recognition and synthesis - Natural language processing •Must obtain work authorization in the country of employment at the time of hire, and maintain ongoing work authorization during employment. Preferred Qualifications • Publications in top-tier venues such as NeurIPS, ICLR, ICML, ICASSP, INTERSPEECH, ACL, EMNLP, ISMIR. • Familiar with deep learning frameworks such as Tensorflow and PyTorch. • Highly competent in algorithms and programming; Strong coding skills in Python and C/C++. • Familar with large-scale training and data processing. • Familiar with engineering principles and best practices. • Ability to work collaboratively in a fast-paced, multi-functional environment. 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 enrich life. 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 https://shorturl.at/cdpT2 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 $194000 - $410000 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.

$194.0K - $410.0K/yr (Outscal est.)
$302.0K/yr avg.
San Jose, California, United States

About The Company

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