Senior Research Scientist (Multiple Positions)
San Jose
Full Time Senior-level / Expert USD 224K - 355K
ByteDance
ByteDance is a technology company operating a range of content platforms that inform, educate, entertain and inspire people across languages, cultures and geographies.Responsibilities
About ByteDance
Founded in 2012, ByteDance's mission is to inspire creativity and enrich life. With a suite of more than a dozen products, including TikTok, Lemon8, CapCut and Pico 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
Inspiring creativity is at the core of ByteDance's mission. Our innovative products are built to help people authentically express themselves, discover and connect – and our global, diverse teams make that possible. Together, we create value for our communities, inspire creativity and enrich life - a mission we work towards every day.
As ByteDancers, we strive to do great things with great people. We lead with curiosity, humility, and a desire to make impact in a rapidly growing tech company. By constantly iterating and fostering an "Always Day 1" mindset, we achieve meaningful breakthroughs for ourselves, our Company, and our users. When we create and grow together, the possibilities are limitless.
Join us.
About the Team
Our team plays a crucial role in ensuring the company’s success. We seek people who are willing to learn and put in the effort to solve problems. Our challenges are not your regular day-to-day problems - you’ll be part of a team that’s developing new solutions to new challenges. It’s working fast at scale, and we’re making a difference. We are looking for talents to join us on this exciting journey!
Responsibilities
Perform Research and Development (R&D) of Machine Learning (ML) systems, including heterogeneous computing architecture, management, monitoring, and deployment of the ML system, distributed task scheduling, ML training, ML inference, scenario driven, cross layer optimization of system and AI algorithms, hardware for ML including GPU, FPGA, and ASIC.
Perform R&D in speech and audio, multimodal processing (audio, vision, and text), natural language processing and deep learning.
Conduct cutting-edge research in artificial intelligence (AI), natural language processing and human-computer interaction technology.
Conduct R&D of technologies on ML fairness and AI ethics for products, including ML interpretability, robustness, and privacy.
Perform theoretical analysis on ML-based models and conduct large-scale simulations and verify the correctness and practicability of proposed models.
Participate in developing core systems and algorithms.
Draft technical contributions, patent applications and academic papers.
Mentor junior research scientists and interns.
Qualifications
Qualifications
Must have a PhD or foreign equivalent degree in Computer Science, Engineering (any), Information Technology, Machine Learning, Data Science, Mathematics, Statistics, or a related field, and 2 years of related work experience.
Of the required experience, must have 1 year of experience in each of the following:
Prototyping and developing machine learning and natural language processing models;
Researching methods for image and video generation to influence the development and optimization of generative models;
Developing and implementing generative neural networks for image/video generation and editing;
Collecting and analyzing large-scale datasets, including image, video, audio, and text to design ML models from the dataset using Python, Go, SQL, or PyTorch;
Designing and implementing ML models and ML algorithms and deploy them in real production environments, including mobile devices and web servers, using Python, C/C++, PyTorch, TensorRT, or ONNX; and
Analyzing deep neural networks’ prediction uncertainty (prediction variation), and developing efficient prediction uncertainty estimation algorithm for the deep neural networks using Python or TensorFlow.
Type: Full time, 40 hours/week
Location: San Jose, CA
Salary Range: $224682 - $355000 per year
To Apply, click the apply button below. Contact lpresumes@bytedance.com if you have difficulty submitting resume through the website.
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 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://tinyurl.com/RA-request
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Job Information
【For Pay Transparency】Compensation Description (Annually)
The base salary range for this position in the selected city is $224682 - $355000 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.
Benefits may vary depending on the nature of employment and the country work location. Employees have day one access to medical, dental, and vision insurance, a 401(k) savings plan with company match, paid parental leave, short-term and long-term disability coverage, life insurance, wellbeing benefits, among others. Employees also receive 10 paid holidays per year, 10 paid sick days per year and 17 days of Paid Personal Time (prorated upon hire with increasing accruals by tenure).
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.
Tags: Architecture Computer Science Deep Learning Engineering FPGA Generative modeling GPU Machine Learning Mathematics ML models NLP ONNX PhD Privacy Prototyping Python PyTorch R R&D Research SQL Statistics TensorFlow TensorRT
Perks/benefits: 401(k) matching Career development Equity / stock options Health care Insurance Medical leave Parental leave
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