Research Scientist (Multiple Positions)
San Jose
Full Time Mid-level / Intermediate USD 224K - 410K
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
Conduct cutting-edge research in retrieval and recommendation algorithms and multi-modality modeling with focus on developing machine learning (ML) models for understanding short-form videos using various modalities, including video frames, text descriptions, and background audio that are fundamental to moderation, searching, and recommendation for short-form videos.
Work on Data-driven training (with hyperparameters search) of the neural network models.
Perform offline evaluation (pseudo-A/B test) of the trained models using real-world short-form videos and document each model's detailed specification, training procedure, and evaluation result.
Communicate with the internal content moderation team on the technical needs (specifications and resources) to develop software for neural network models.
Review and analyze latest literature on the state-of-the-art neural network models for video understanding.
Publish research papers that benefit the academic community.
Qualifications
Qualifications
Must have a Master’s degree or foreign equivalent degree in Computer Science, Engineering (any), Information Technology, Machine Learning, Data Science, Mathematics, Statistics, Information Management, Digital Commerce, Marketing or a related field, and 2 years of related work and/or research experience; OR, a Bachelor’s degree or foreign equivalent degree in Computer Science, Engineering (any), Information Technology, Machine Learning, Data Science, Mathematics, Statistics, Information Management, Digital Commerce, Marketing or a related field and 5 years of post-bachelor’s, progressive related work and/or research experience.
Of the required experience, must have 2 years of work and/or research experience in each of the following:
Using data analysis tools SQL, PySpark, NumPy, and Pandas to handle large-scale datasets;
Programming using Python and PyTorch to build large-scale learning systems;
Developing data-driven prediction models using machine learning, and neural network/deep learning;
Signal processing for image, video, or audio data preprocessing; and
Preparing technical documentation, including technical proposals or patents, or publishing conference or journal papers.
Travel Requirement: International travel required up to 10%.
Type: Full time, 40 hours/week
Location: San Jose, CA
Salary Range: $224682 - $410000 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 - $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.
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: Computer Science Data analysis Deep Learning Engineering Machine Learning Mathematics NumPy Pandas PySpark Python PyTorch Research SQL Statistics
Perks/benefits: 401(k) matching Career development Equity / stock options Health care Insurance Medical leave Parental leave
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