Analytics Engineer Jobs at ByteDance with Visa Sponsorship
Analytics Engineer roles at ByteDance sit at the intersection of data infrastructure and product intelligence, supporting TikTok, CapCut, and other high-scale platforms. ByteDance has a well-established sponsorship process for this function, covering both temporary work visas and permanent residence pathways for qualified candidates.
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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 109+ Analytics Engineer at ByteDance jobs
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Get Access To All JobsTips for Finding Analytics Engineer Jobs at ByteDance Jobs
Tailor your portfolio to ByteDance's data stack
ByteDance's analytics teams run on large-scale event data pipelines, often using Spark, Flink, and internal data platforms. Showcase projects involving real-time data modeling, pipeline optimization, or multi-product attribution to signal you can contribute from day one.
Target roles tied to specific ByteDance products
ByteDance hires Analytics Engineers across TikTok, CapCut, Lark, and its ads infrastructure. Applying to a role tied to a specific product line, rather than a generic listing, puts you in front of teams with active headcount and clearer sponsorship timelines.
Understand how PERM affects your green card timeline
For EB-2 or EB-3 sponsorship, ByteDance must complete a DOL PERM labor certification before filing your immigrant petition. PERM audits can add six to twelve months to the process, so ask your recruiter whether the role is flagged for permanent residence sponsorship from the start.
Browse open Analytics Engineer roles on Migrate Mate
Filtering specifically for Analytics Engineer roles at ByteDance with verified sponsorship history saves time compared to broad job boards. Use Migrate Mate to surface current openings and cross-reference which visa types ByteDance has actively used for this function.
Prepare your credential documentation before receiving an offer
ByteDance's immigration team moves quickly once an offer is extended. Have your degree transcripts, any credential evaluation for non-U.S. degrees, and employment verification letters ready so the H-1B or E-3 petition can be filed without delays on your end.
Analytics Engineer at ByteDance jobs are hiring across the US. Find yours.
Find Analytics Engineer at ByteDance JobsFrequently Asked Questions
Does ByteDance sponsor H-1B visas for Analytics Engineers?
Yes, ByteDance sponsors H-1B visas for Analytics Engineer roles. The company has a structured immigration program that handles both the Labor Condition Application filing with the DOL and the subsequent H-1B petition with USCIS. Because H-1B selection depends on the annual lottery for most applicants, timing your application cycle and having a backup option like the E-3 or H-1B1 matters if you're eligible.
How do I apply for Analytics Engineer jobs at ByteDance?
Applications go through ByteDance's careers portal, where Analytics Engineer roles are listed by product area and team. You can also find verified sponsorship-confirmed openings on Migrate Mate, which filters specifically for roles where ByteDance has an active sponsorship track record for this function. Tailoring your resume to reflect large-scale data modeling, pipeline development, and the specific product you're targeting improves your chances of reaching the technical screen.
Which visa types does ByteDance use for Analytics Engineer roles?
ByteDance uses H-1B, H-1B1, and E-3 visas for temporary work authorization, along with EB-2 and EB-3 immigrant visa pathways for permanent residence sponsorship. H-1B1 is available to Chilean and Singaporean nationals, while E-3 is exclusive to Australian citizens. If you qualify for either of those, they bypass the H-1B lottery entirely and can substantially shorten your path to starting work.
What qualifications does ByteDance expect for Analytics Engineer roles?
ByteDance typically expects a bachelor's degree or higher in computer science, statistics, data engineering, or a related quantitative field. Hands-on experience with SQL, distributed data processing frameworks like Spark or Flink, and data modeling in a production environment is standard. Familiarity with event-level behavioral data and experience supporting product or growth analytics teams at scale stands out given the nature of ByteDance's platforms.
How long does the visa sponsorship process take at ByteDance for this role?
For H-1B sponsorship, ByteDance files in the April lottery window, with an October 1 start date if selected. Premium processing through USCIS can reduce adjudication to around 15 business days once petitioned. E-3 and H-1B1 petitions move faster since there's no lottery. PERM-based Green Card sponsorship adds a separate multi-step process through DOL that typically takes one to two years before an immigrant petition can be filed.
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