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Senior Natural Language Processing Algorithm Engineer

1 Hour ago • 5-8 Years • Monetization • $184,300 PA - $337,250 PA

Job Summary

Job Description

ByteDance seeks Senior Natural Language Processing (NLP) Algorithm Engineers to develop state-of-the-art NLP and ML algorithms improving user experience on their e-commerce platform. Responsibilities include developing massive knowledge graphs, collaborating with product teams, building deep learning models for e-commerce entities, establishing algorithms for merchandise assortment, performing data analysis, and mentoring junior engineers. The role requires expertise in prototyping and deploying ML/NLP models, analyzing large datasets, designing statistical tests, and processing big data with Hadoop. Domestic and/or international travel up to 10% is required.
Must have:
  • Develop state-of-the-art NLP/ML algorithms
  • Deploy machine learning services
  • Analyze large quantities of online data
  • Design and perform statistical tests
  • Process big data with Hadoop
  • Master's degree or Bachelor's with 5 years experience
Perks:
  • Medical, dental, and vision insurance
  • 401(k) savings plan with company match
  • Paid parental leave
  • Paid holidays, sick days, and personal time

Job Details

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 Develop state-of-the-art Natural Language Processing (NLP) and Machine Learning (ML) algorithms and strategies to improve user consumption experience, inspire merchants' service quality and revenue, and build a fair and flourishing ecosystem on E-commerce Platform. Participate in the development of massive knowledge graphs of real-world products to support feed ranking, recommendations, and ads. Collaborate with product managers, data scientists, and the product strategy & operation team to define product strategies and features. Develop and build deep learning models to understand and explore E-Commerce entities such as products, shops, sellers, authors and users, summarize the methods to improve efficiency, generate fundamental data and methods which are widely used in E-Commerce business, such as search, recommendation, user growth, data analysis. Establish similar algorithms and support for merchandize assortment business. Leverage the full advantage of modern ML techniques to build ML models to solve various consumption-related problems. Perform data analysis on our data to improve current products. Extract or generate features with Machine Learning models to support downstream tasks. Keep up with the state-of-art ML and NLP models/methodologies. Mentor junior Engineers.
Qualifications
Qualifications Must have a Master’s degree in Computer Science, Engineering (any), Information Technology, Data Science, Machine Learning, Mathematics, Statistics, or a related quantitative field, and 3 years of related work experience; OR a Bachelor's degree in Computer Science, Engineering (any), Information Technology, Data Science, Machine Learning, Mathematics, Statistics, or a related quantitative field, and 5 years of post-bachelor's, progressive related work experience. Of the required experience, must have 3 years of experience in each of the following: Prototyping and developing machine learning and natural language processing models; Deploying machine learning services; Analyzing large quantities of online data to improve user experiences; Designing and performing statistical tests to evaluate online recommendation results; and Processing big data with Hadoop. Travel Requirement: Domestic and/or international travel required up to 10%. Type: Full time, 40 hours/week Location: Bellevue, WA Salary Range: $184300 - $337250 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 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 lpresumes@bytedance.com. #LI-DNI #IND-DNI
Job Information
【For Pay Transparency】Compensation Description (Annually)

The base salary range for this position in the selected city is $184300 - $337250 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.

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Where imagination meets innovation, delivering limitless gaming experiences.

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