Data Science Engineer Jobs at ByteDance with Visa Sponsorship
ByteDance builds large-scale recommendation, content understanding, and machine learning systems that power products used by hundreds of millions of people. Data Science Engineers here work across research and production, and the company has a consistent track record of sponsoring work visas for this function across multiple visa categories.
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Location:
San Jose
Team:
Technology
Employment Type:
Regular
Job Code:
A02632A
About the Team
The Seed Infrastructures team oversees the distributed training, reinforcement learning framework, high-performance inference, and heterogeneous hardware compilation technologies for AI foundation models.
Responsibilities
1. Design, develop, and optimize high-performance inference systems for large-scale LLMs and VLMs, covering inference engines, serving frameworks, and end-to-end deployment pipelines.
-
Build state-of-the-art model inference engines through advanced performance optimization techniques such as compiler-level optimizations, parallel computing, graph fusion, efficient CUDA kernel development, low-precision computation, streaming inference, speculative decoding, and high-concurrency request optimization.
-
Collaborate closely with other research teams to identify performance bottlenecks, conduct in-depth performance analysis, and optimize large models; contribute to the development of model toolchains and the broader technical ecosystem.
Minimum Qualifications:
1. Bachelor's degree or above in Computer Science, Electrical Engineering, Software Engineering, or a related field.
-
Strong proficiency in C/C++ and Python; solid foundations in algorithms, data structures, and systems programming; familiarity with containerization and server-side debugging.
-
Hands-on experience with at least one mainstream machine learning framework (e.g., PyTorch, TensorFlow).
-
Experience deploying or optimizing LLM/VLM inference at production scale, with demonstrated impact on latency, throughput, or serving cost.
-
Familiarity with GPU architecture and experience optimizing compute-intensive operators (e.g., FlashAttention, GEMM, GEMV, Conv2D).
Preferred Qualifications:
1. Experience with large-scale LLM serving infrastructure or equivalent production LLM deployment experience.
-
Experience in GPU programming (CUDA/OpenCL) and familiarity with frameworks such as TensorRT, Triton, or CUTLASS.
-
Experience in performance modeling, profiling, and optimization, or strong knowledge of CPU/GPU architectures.
-
Familiarity with model/data parallelism frameworks for distributed inference.
Compensation Description (Annually)
The base salary range for this position in the selected city is $244800 - $450000 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:
-
Interacting and occasionally having unsupervised contact with internal/external clients and/or colleagues;
-
Appropriately handling and managing confidential information including proprietary and trade secret information and access to information technology systems; and
-
Exercising sound judgment.
About Doubao (Seed)
Established in 2023, the ByteDance Seed team is dedicated to pioneering new paths toward artificial general intelligence. We aspire to advance the frontier of intelligence to drive progress for both technology and society.
With a long-term vision for the AI sector, the Seed team's research spans MLLM, GenMedia, AI for Science, and Robotics. We maintain a global presence with laboratories and career opportunities across China, Singapore, and the United States. To date, we have launched industry-leading general foundation models and cutting-edge multimodal capabilities. Our technology powers over 50 application scenarios — including Doubao, Jimeng, TRAE, Dola and Dreamnia — and serves enterprise customers through Volcano Engine and BytePlus. Third-party data shows that the Doubao App ranks first in user volume in the Chinese market, while Doubao foundation models lead the industry in average daily token consumption.
Why Join ByteDance
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.
Diversity & Inclusion
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.
Reasonable Accommodation
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

Location:
San Jose
Team:
Technology
Employment Type:
Regular
Job Code:
A02632A
About the Team
The Seed Infrastructures team oversees the distributed training, reinforcement learning framework, high-performance inference, and heterogeneous hardware compilation technologies for AI foundation models.
Responsibilities
1. Design, develop, and optimize high-performance inference systems for large-scale LLMs and VLMs, covering inference engines, serving frameworks, and end-to-end deployment pipelines.
-
Build state-of-the-art model inference engines through advanced performance optimization techniques such as compiler-level optimizations, parallel computing, graph fusion, efficient CUDA kernel development, low-precision computation, streaming inference, speculative decoding, and high-concurrency request optimization.
-
Collaborate closely with other research teams to identify performance bottlenecks, conduct in-depth performance analysis, and optimize large models; contribute to the development of model toolchains and the broader technical ecosystem.
Minimum Qualifications:
1. Bachelor's degree or above in Computer Science, Electrical Engineering, Software Engineering, or a related field.
-
Strong proficiency in C/C++ and Python; solid foundations in algorithms, data structures, and systems programming; familiarity with containerization and server-side debugging.
-
Hands-on experience with at least one mainstream machine learning framework (e.g., PyTorch, TensorFlow).
-
Experience deploying or optimizing LLM/VLM inference at production scale, with demonstrated impact on latency, throughput, or serving cost.
-
Familiarity with GPU architecture and experience optimizing compute-intensive operators (e.g., FlashAttention, GEMM, GEMV, Conv2D).
Preferred Qualifications:
1. Experience with large-scale LLM serving infrastructure or equivalent production LLM deployment experience.
-
Experience in GPU programming (CUDA/OpenCL) and familiarity with frameworks such as TensorRT, Triton, or CUTLASS.
-
Experience in performance modeling, profiling, and optimization, or strong knowledge of CPU/GPU architectures.
-
Familiarity with model/data parallelism frameworks for distributed inference.
Compensation Description (Annually)
The base salary range for this position in the selected city is $244800 - $450000 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:
-
Interacting and occasionally having unsupervised contact with internal/external clients and/or colleagues;
-
Appropriately handling and managing confidential information including proprietary and trade secret information and access to information technology systems; and
-
Exercising sound judgment.
About Doubao (Seed)
Established in 2023, the ByteDance Seed team is dedicated to pioneering new paths toward artificial general intelligence. We aspire to advance the frontier of intelligence to drive progress for both technology and society.
With a long-term vision for the AI sector, the Seed team's research spans MLLM, GenMedia, AI for Science, and Robotics. We maintain a global presence with laboratories and career opportunities across China, Singapore, and the United States. To date, we have launched industry-leading general foundation models and cutting-edge multimodal capabilities. Our technology powers over 50 application scenarios — including Doubao, Jimeng, TRAE, Dola and Dreamnia — and serves enterprise customers through Volcano Engine and BytePlus. Third-party data shows that the Doubao App ranks first in user volume in the Chinese market, while Doubao foundation models lead the industry in average daily token consumption.
Why Join ByteDance
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.
Diversity & Inclusion
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.
Reasonable Accommodation
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
See all 118+ Data Science Engineer at ByteDance jobs
Sign up for free to unlock all listings, filter by visa type, and get alerts for new Data Science Engineer at ByteDance roles.
Get Access To All JobsTips for Finding Data Science Engineer Jobs at ByteDance Jobs
Align your portfolio to ByteDance's ML stack
ByteDance's Data Science Engineer roles consistently emphasize large-scale recommendation systems, natural language processing, and real-time inference pipelines. Before applying, build or document projects that reflect these systems specifically, not general data analysis work.
Target teams that filed LCAs previously
ByteDance hires Data Science Engineers across multiple product teams. Search DOL's public LCA disclosure data to identify which internal business units have filed for this job title, then tailor your application to those specific teams.
Clarify sponsorship scope during the offer stage
ByteDance sponsors multiple visa categories for this role. During offer negotiation, confirm in writing which visa type they intend to file, whether premium processing is included, and the expected start date relative to your current status's expiration.
Use Migrate Mate to filter open roles by visa type
ByteDance posts Data Science Engineer roles across various teams and locations with different sponsorship eligibility. Use Migrate Mate to filter these openings by the visa category you qualify for, so you're applying only where your immigration profile is a match.
Prepare for a specialty occupation documentation request
USCIS scrutinizes H-1B petitions for technology employers. Obtain a detailed offer letter specifying your degree field, the technical duties requiring that degree, and the connection between your specific educational background and the role's day-to-day responsibilities.
Time your PERM filing awareness to your offer timeline
If you're targeting a Green Card through ByteDance, understand that PERM labor certification can take 12 to 18 months before an I-140 is even filed. Raise long-term sponsorship intent early in the offer process, not after you've accepted.
Data Science Engineer at ByteDance jobs are hiring across the US. Find yours.
Find Data Science Engineer at ByteDance JobsFrequently Asked Questions
Does ByteDance sponsor H-1B visas for Data Science Engineers?
Yes, ByteDance sponsors H-1B visas for Data Science Engineer roles and has done so consistently across multiple hiring cycles. Because the H-1B is subject to an annual lottery for most applicants, ByteDance typically files petitions in April for an October 1 start date. If you're currently on OPT or a cap-exempt visa, confirm your timeline with the recruiting team early in the process.
How do I apply for Data Science Engineer jobs at ByteDance?
Apply directly through ByteDance's careers portal, where Data Science Engineer roles are listed by product team and location. To find roles that specifically match your visa category, Migrate Mate lets you filter ByteDance's open positions by sponsored visa type, so you can focus your effort on roles where your immigration profile is already a fit before submitting an application.
Which visa types does ByteDance commonly use for Data Science Engineers?
ByteDance sponsors H-1B, H-1B1, and E-3 visas for Data Science Engineers, along with EB-2 and EB-3 immigrant visa categories for permanent residence. Australian citizens should flag E-3 eligibility early, as it avoids the H-1B lottery entirely. H-1B1 is available to Chilean and Singaporean nationals and also bypasses the lottery, making both categories worth clarifying during the recruiting process.
What qualifications does ByteDance expect for Data Science Engineer roles?
ByteDance typically expects a bachelor's or master's degree in computer science, statistics, mathematics, or a closely related field. Strong Python or Scala skills, experience with distributed computing frameworks like Spark or Flink, and hands-on work with recommendation systems or deep learning models are common requirements. For H-1B purposes, USCIS requires that your specific degree field directly corresponds to the technical duties in the role, so generic STEM degrees without applied ML coursework may require additional documentation.
How do I understand the timeline from offer to visa approval for this role?
For H-1B, your employer files the petition by early April for an October 1 start date, meaning there's up to a six-month gap between offer and work authorization. For E-3 and H-1B1 visas, consular processing can move faster, sometimes within four to eight weeks of your employer obtaining a certified LCA from DOL. USCIS premium processing, if included in your offer, reduces the adjudication window to 15 business days once the petition is filed.
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