Research Engineer Jobs at ByteDance with Visa Sponsorship
ByteDance hires Research Engineers across machine learning, computer vision, natural language processing, and recommendation systems. The company actively sponsors work visas for this function, supporting candidates through the full process from initial offer through long-term status.
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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 50+ Research Engineer at ByteDance jobs
Sign up for free to unlock all listings, filter by visa type, and get alerts for new Research Engineer at ByteDance roles.
Get Access To All JobsTips for Finding Research Engineer Jobs at ByteDance Jobs
Align your research focus to ByteDance's core products
ByteDance Research Engineers work on TikTok ranking systems, DouYin recommendation algorithms, and large language model infrastructure. Framing your CV and interview narrative around these applied research areas signals fit beyond a generic ML background.
Prepare your publication record before applying
ByteDance Research Engineer roles routinely require demonstrated research output. Compile your published papers, preprints, and conference presentations early. USCIS scrutinizes specialty occupation evidence closely for research titles, so a clear record of peer-reviewed work strengthens both your application and the employer's H-1B petition.
Clarify which visa type your offer covers
ByteDance sponsors H-1B, H-1B1, and E-3 visas for Research Engineers. If you're Australian or Chilean, confirm with your recruiter whether they'll file under your treaty-specific category, since processing and renewal paths differ materially from a standard H-1B.
Understand the H-1B lottery timeline before accepting an offer
H-1B registration opens in March for an October 1 start date. If your offer arrives after the lottery closes, ask whether cap-exempt filing through a university affiliation or a change-of-status bridge is available while you wait for the next cycle.
Use Migrate Mate to filter Research Engineer roles at ByteDance
Sponsorship-specific job boards remove the guesswork of which postings are open to visa candidates. Use Migrate Mate to filter ByteDance Research Engineer openings by visa type so you're only pursuing roles where sponsorship is confirmed before you apply.
Track your I-140 approval if you're targeting a Green Card
ByteDance files EB-2 and EB-3 PERM labor certifications for Research Engineers pursuing permanent residence. Getting your I-140 approved as early as possible locks in your priority date, which is critical for Indian and Chinese nationals facing long backlogs in the employment-based queue.
Research Engineer at ByteDance jobs are hiring across the US. Find yours.
Find Research Engineer at ByteDance JobsFrequently Asked Questions
Does ByteDance sponsor H-1B visas for Research Engineers?
Yes, ByteDance sponsors H-1B visas for Research Engineer roles. The company files cap-subject petitions through the annual USCIS lottery, with an October 1 start date for selected candidates. If you're already in H-1B status with another employer, a transfer petition can be filed at any point in the year without waiting for the next lottery cycle.
Which visa types does ByteDance commonly use for Research Engineer roles?
ByteDance uses H-1B, H-1B1, and E-3 visas for Research Engineers depending on your nationality. Australian citizens can pursue the E-3, which has a dedicated annual allocation and no lottery. Chilean nationals may qualify for the H-1B1. For permanent residence, ByteDance also files EB-2 and EB-3 Green Card petitions for Research Engineers through the PERM labor certification process.
What qualifications does ByteDance expect for Research Engineer roles?
Most ByteDance Research Engineer positions require a graduate degree in computer science, machine learning, electrical engineering, or a closely related field. A PhD is preferred for roles focused on foundational model research, while MS-level candidates are competitive for applied research and systems work. Publications at venues such as NeurIPS, ICML, CVPR, or ACL carry significant weight in the selection process.
How do I apply for Research Engineer jobs at ByteDance?
Browse open Research Engineer positions on Migrate Mate to find ByteDance roles that explicitly support visa sponsorship. When applying, tailor your CV to highlight research output, relevant system-scale projects, and alignment with ByteDance's product areas such as recommendation systems, vision, or language modeling. Referrals from current ByteDance employees can accelerate recruiter review.
How do I plan my timeline if I'm applying for a ByteDance Research Engineer role on OPT or CPT?
If you're on F-1 OPT, confirm your OPT expiration date against the H-1B lottery calendar. ByteDance will need to register you in the March lottery for an October 1 start. If your OPT expires before October, a timely H-1B filing can trigger cap-gap protection, extending your authorized work period through September 30 while the petition is pending at USCIS.
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