Senior Research Scientist, Foundation Model, Speech Understanding

5 Days ago • 3 Years +

About the job

SummaryBy Outscal

Must have:
  • Master's or PhD in computer science, mathematics, engineering or related field
  • 3+ years of experience in one or more areas of machine learning and deep learning
  • Experience in Automatic Speech Recognition, Translation, Self-supervised Learning, Speaker Recognition, Speech Emotion Recognition, and Multimodal Foundation Models
Good to have:
  • Publications in top-tier ML/DL and speech venues
  • Deep understanding of large language models
  • Familiarity with distributed computing, deep learning frameworks, engineering principles, and strong coding skills in C/C++ and Python.
Perks:
  • 100% premium coverage for employee medical insurance
  • Health Savings Account(HSA) with a company match
  • Dental, Vision, Short/Long term Disability, Basic Life, Voluntary Life and AD&D insurance plans
  • Flexible Spending Account(FSA) Options like Health Care, Limited Purpose and Dependent Care
  • 10 paid holidays per year plus 17 days of Paid Personal Time Off (PPTO)
  • 10 paid sick days per year
  • 12 weeks of paid Parental leave and 8 weeks of paid Supplemental Disability
  • Mental and emotional health benefits through our EAP and Lyra
  • 401K company match, gym and cellphone service reimbursements
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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. Responsibilities - Conduct cutting-edge research and development in speech/audio foundation models - Collaborate with cross-functional teams to identify key research areas and contribute to the development of innovative speech/audio models. - Work with product development teams to integrate research findings into practical applications for ByteDance and other platforms. - Collaborate on team-driven projects to address complex challenges and enhance the overall effectiveness of the research team.
Qualifications
Minimum Qualifications 1. Master's or PhD in computer science, mathematics, engineering or related field 2. Have 3+ years of experience in one or more areas of machine learning and deep learning, including but not limited to: - Automatic Speech Recognition - Automatic Speech Translation - Speech/audio self-supervised learning and foundation models - Speaker recognition and verification - Speech emotion recognition - Multimodal foundation models - Large Language Model pre-training and fine-tuning Preferred Qualifications - Publications in top-tier ML/DL venues such as NeurIPS, ICLR, ICML, AAAI and speech venues such as ICASSP, ASRU, Interspeech - Deep understanding of Large Language models - Familiar with distributed computing and large scale model training - Familiar with deep learning frameworks such as Tensorflow and Pytorch. - Familiar with engineering principles and best practices. - Highly competent in algorithms and programming; Strong coding skills in C/C++ and Python. - Ability to work collaboratively in a fast-paced, multi-functional environments 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
Job Information
【For Pay Transparency】Compensation Description (annually)

The base salary range for this position in the selected city is $212800 - $389500 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.

View Full Job Description
$212.8K - $389.5K/yr (Outscal est.)
$301.1K/yr avg.
Seattle, Washington, United States

About The Company

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