Research Scientist Graduate (Foundation Model, Vision and Language) - 2025 Start (PhD)

1 Week ago • All levels • Research & Development

About the job

SummaryBy Outscal

Must have:
  • Research and engineering experience in computer vision and natural language processing.
  • Experience in multi-modal understanding, vision and language, such as multimodal pre-training, visual instruction tuning, alignment learning.
  • Work with very large-scale datasets and build very large-scale datasets to scale up foundation models.
  • Experience with language models and apply them in various downstream tasks.
  • Highly competent in algorithms and programming; Strong coding skills in Python and popular deep learning frameworks.
  • Ability to work independently; Strong communication skills.
Good to have:
  • Publications in top-tier venues such as CVPR, ECCV, ICCV, NeurIPS, ICLR, ICML, EMNLP, ACL, NAACL.
  • Impactful open-source projects on GitHub and a demonstrated engineering ability to quickly solve new challenges.
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, 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
  • 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 our EAP and Lyra
  • 401K company match
  • Gym and cellphone service reimbursements
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Responsibilities
Established in 2023, the ByteDance Doubao (Seed) Team is dedicated to building industry-leading AI foundation models. We aim to do world-leading 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 has labs and researcher roles 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. In the Chinese market, Doubao models power over 50 ByteDance apps and business lines, including Doubao, Coze, and Dreamina, and was launched to external enterprise clients through Volcano Engine. The Doubao app is the most used AIGC app in China. 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 Welcome to the Doubao-Vision team, where we spearhead multi-modality foundation models on visual understanding and visual generation. Our mission is to solve the visual intelligence problem for AI. We conduct cutting-edge research on areas like vision and language, large vision models, and generative foundation models. The team is a mix of experienced research scientists and engineers, aiming to advance the research boundaries in foundation models and apply our technologies to our rich application scenarios, whereas a feedback loop is created to help further improve our foundation technologies. Join us in shaping the future of AI technologies and revolutionizing our product experience for global users. We are looking for talented individuals to join our team in 2025. 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 an onboarding date by end of year 2025. We will prioritize candidates who are able to commit to these start dates. 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 for a maximum of TWO positions and will be considered for jobs in the order you applied for. The application limit is applicable to Bytedance and its affiliates' jobs globally. Responsibilities - Conduct cutting-edge research and development in computer vision and natural language processing, especially in the areas of multi-modality, vision and language, etc. - Enhance multimodal understanding and reasoning (images and videos etc), throughout the entire development process, encompassing data acquisition, model evaluation, pre-training, SFT, reward modeling, and reinforcement learning, to bolster overall performance. - Synthesize large-scale, high-quality multi-modal data through methods such as rewriting, augmentation, and generation to improve the abilities of foundation models in various stages (pretraining, SFT, RLHF). - Investigate and implement robust evaluation methodologies to assess model performance at various stages (ranging from covering diverse multimodal skills to improving user preference alignment), unravel the underlying mechanisms and sources of their abilities, and utilize this understanding to drive model improvements.
Qualifications
Minimum Qualifications: - Research and engineering experience in one or more areas of computer vision and natural language processing, including but not limited to: Experience in multi-modal understanding, vision and language, such as multimodal pre-training, visual instruction tuning, alignment learning, and other related topics. - Work with very large-scale datasets, and build very large-scale datasets to scale up foundation models. - Experience with language models and apply them in various downstream tasks. - Highly competent in algorithms and programming; Strong coding skills in Python and popular deep learning frameworks. - Work and collaborate well with team members. - Ability to work independently; Strong communication skills. Preferred Qualifications: - Candidates with publications in top-tier venues such as CVPR, ECCV, ICCV, NeurIPS, ICLR, ICML, EMNLP, ACL, NAACL, etc - Candidates with impactful open-source projects on GitHub and a demonstrated engineering ability to quickly solve new challenges. 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 $250000 - $430000 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
$250.0K - $430.0K/yr (Outscal est.)
$340.0K/yr avg.
San Jose, California, United States

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