AI ML Engineering Jobs at ByteDance with Visa Sponsorship
ByteDance builds some of the most computationally intensive AI systems in the world, and its AI ML Engineering roles sit at the center of that work. The company has an established sponsorship track record for this function, supporting candidates through H-1B, E-3, and Green Card pathways.
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Get Access To All JobsLocation:
San Jose
Team:
Technology
Employment Type:
Intern
Job Code:
A112542A
Team Introduction:
The EE Platform team focuses on silicon and EE architecture for AR/VR platforms to optimize the system power, latency and performance. The team innovates on customized silicon solutions for imaging, display and connectivity with HW/SW co-optimization.
Topic Content:
The rapid advancement of AI Agents is set to have a far-reaching and transformative impact on daily life. As the hardware bridge linking AI Agents to the physical world and end users, intelligent hardware acts as a vital gateway for agents to perceive their environment and recognize user intent. Enabling AI Agents to maintain round-the-clock environmental awareness and efficiently capture real-time user intentions is essential to improving their everyday service experience. This topic seeks to overcome the limitations of conventional visual perception systems. By deeply integrating sensing and computing, it explores full-stack innovation spanning from low-level hardware to high-level algorithms. Key efforts include developing next-generation sensors with real-time understanding capabilities, investigating non-traditional visual capture and compression techniques, and designing novel hardware architectures to run advanced algorithms—enabling highly efficient coordination across sensing, processing, and communication.
Topic Challenge:
Break free from the framework of conventional sensing systems, explore novel sensors, signal processing and compression schemes to achieve highly energy-efficient sensing tasks, while enabling seamless integration with large models.
Topic Value:
Breakthroughs in this research direction will enable intelligent hardware to better connect AI, users, and daily life. Against the backdrop of the AI Agent era, this will unlock the gateway to the next generation of intelligent hardware terminals and open up broader technological possibilities.
We are looking for talented individuals to join us for an internship in 2026. PhD Internships at our Company aim to provide students with the opportunity to actively contribute to our products and research, and to the organization's future plans and emerging technologies.
PhD internships at Our Company provide students with the opportunity to actively contribute to our products and research, and to the organization's future plans and emerging technologies. Our dynamic internship experience blends hands-on learning, enriching community-building and development events, and collaboration with industry experts.
Applications will be reviewed on a rolling basis - we encourage you to apply early. Please state your availability clearly in your resume (Start date, End date).
Responsibilities:
- Innovate and develop a power-efficient, low-latency, highly-intelligent all-day machine perception vision system.
- Develop necessary training, data collection/generation pipeline along with state of art ML algorithm/framework for understanding of the scene and user behaviors.
- Map the cutting edge ML algorithm to the HW accelerator, identify performance bottleneck, optimize performance and efficiency, propose more efficient HW/SW co-design for AI accelerator.
- Collaborate with the x-functions team and translate system requirements into a proper cloud-edge workload partition and edge ML accelerator HW/SW requirement.
- Perform quantitative evaluations through the use of system modeling and influence sensor, soc and software co-design.
Qualifications
Minimum Qualifications
- Currently Pursuing PhD in the fields of Electrical Engineering, Computer Science, Physics and related technical discipline.
- Experience in research in the fields of computer vision, edge ML perception algorithm and/or related AI accelerator design.
- Experience with programming tools and languages such as C/C++, MATLAB, Python.
Preferred Qualifications
- Familiar with appropriate ML frameworks and model deployment.
- Familiar with image sensor and isp.
- Good track record on top-tier conference or journal publication.
Job Information
【For Pay Transparency】Compensation Description (Hourly) - Campus Intern
The hourly rate range for this position in the selected city is $60 - $60.
Benefits may vary depending on the nature of employment and the country work location. Interns have day one access to health insurance, life insurance, wellbeing benefits and more. Interns also receive 10 paid holidays per year and paid sick time (56 hours if hired in first half of year, 40 if hired in second half of year). Interns who are not working 100% remote may also be eligible for housing allowance.
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 Pico
Founded in April 2015, Pico is a VR company committed to developing immersive and interactive VR experiences for people around the world. Pico also provides tailor-made solutions for our enterprise clients in the fields of education and healthcare.
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:
Intern
Job Code:
A112542A
Team Introduction:
The EE Platform team focuses on silicon and EE architecture for AR/VR platforms to optimize the system power, latency and performance. The team innovates on customized silicon solutions for imaging, display and connectivity with HW/SW co-optimization.
Topic Content:
The rapid advancement of AI Agents is set to have a far-reaching and transformative impact on daily life. As the hardware bridge linking AI Agents to the physical world and end users, intelligent hardware acts as a vital gateway for agents to perceive their environment and recognize user intent. Enabling AI Agents to maintain round-the-clock environmental awareness and efficiently capture real-time user intentions is essential to improving their everyday service experience. This topic seeks to overcome the limitations of conventional visual perception systems. By deeply integrating sensing and computing, it explores full-stack innovation spanning from low-level hardware to high-level algorithms. Key efforts include developing next-generation sensors with real-time understanding capabilities, investigating non-traditional visual capture and compression techniques, and designing novel hardware architectures to run advanced algorithms—enabling highly efficient coordination across sensing, processing, and communication.
Topic Challenge:
Break free from the framework of conventional sensing systems, explore novel sensors, signal processing and compression schemes to achieve highly energy-efficient sensing tasks, while enabling seamless integration with large models.
Topic Value:
Breakthroughs in this research direction will enable intelligent hardware to better connect AI, users, and daily life. Against the backdrop of the AI Agent era, this will unlock the gateway to the next generation of intelligent hardware terminals and open up broader technological possibilities.
We are looking for talented individuals to join us for an internship in 2026. PhD Internships at our Company aim to provide students with the opportunity to actively contribute to our products and research, and to the organization's future plans and emerging technologies.
PhD internships at Our Company provide students with the opportunity to actively contribute to our products and research, and to the organization's future plans and emerging technologies. Our dynamic internship experience blends hands-on learning, enriching community-building and development events, and collaboration with industry experts.
Applications will be reviewed on a rolling basis - we encourage you to apply early. Please state your availability clearly in your resume (Start date, End date).
Responsibilities:
- Innovate and develop a power-efficient, low-latency, highly-intelligent all-day machine perception vision system.
- Develop necessary training, data collection/generation pipeline along with state of art ML algorithm/framework for understanding of the scene and user behaviors.
- Map the cutting edge ML algorithm to the HW accelerator, identify performance bottleneck, optimize performance and efficiency, propose more efficient HW/SW co-design for AI accelerator.
- Collaborate with the x-functions team and translate system requirements into a proper cloud-edge workload partition and edge ML accelerator HW/SW requirement.
- Perform quantitative evaluations through the use of system modeling and influence sensor, soc and software co-design.
Qualifications
Minimum Qualifications
- Currently Pursuing PhD in the fields of Electrical Engineering, Computer Science, Physics and related technical discipline.
- Experience in research in the fields of computer vision, edge ML perception algorithm and/or related AI accelerator design.
- Experience with programming tools and languages such as C/C++, MATLAB, Python.
Preferred Qualifications
- Familiar with appropriate ML frameworks and model deployment.
- Familiar with image sensor and isp.
- Good track record on top-tier conference or journal publication.
Job Information
【For Pay Transparency】Compensation Description (Hourly) - Campus Intern
The hourly rate range for this position in the selected city is $60 - $60.
Benefits may vary depending on the nature of employment and the country work location. Interns have day one access to health insurance, life insurance, wellbeing benefits and more. Interns also receive 10 paid holidays per year and paid sick time (56 hours if hired in first half of year, 40 if hired in second half of year). Interns who are not working 100% remote may also be eligible for housing allowance.
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 Pico
Founded in April 2015, Pico is a VR company committed to developing immersive and interactive VR experiences for people around the world. Pico also provides tailor-made solutions for our enterprise clients in the fields of education and healthcare.
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 45+ AI ML Engineering at ByteDance jobs
Sign up for free to unlock all listings, filter by visa type, and get alerts for new AI ML Engineering at ByteDance roles.
Get Access To All JobsTips for Finding AI ML Engineering Jobs at ByteDance Jobs
Frame your ML experience around production systems
ByteDance prioritizes engineers who have shipped models at scale, not just researchers. Tailor your resume to highlight latency optimization, distributed training infrastructure, and serving pipelines rather than academic benchmarks or prototype work.
Target teams aligned with ByteDance product verticals
AI ML Engineering roles span TikTok recommendation, Lark productivity, and Doubao AI. Applying to a specific product vertical rather than a generic requisition signals domain intent and increases your chances of reaching a technical hiring manager.
Clarify your visa category before the offer stage
Australian citizens should confirm E-3 eligibility early. ByteDance sponsors E-3 for qualifying roles, which avoids the H-1B lottery entirely. Raising this before offer letter drafting prevents delays when the legal team begins the Labor Condition Application with DOL.
Prepare for a structured technical loop upfront
ByteDance's ML interview process typically includes a coding screen, ML system design, and a behavioral round. Preparing a documented portfolio of model architecture decisions and production tradeoffs you have owned strengthens your case across all three stages.
Understand USCIS specialty occupation requirements for your role
H-1B approval requires your position to qualify as a specialty occupation. For ML roles, a degree in computer science, statistics, or a directly related field strengthens the petition. Roles titled broadly like 'engineer' face higher USCIS scrutiny than titles tied to a specific ML function.
Use Migrate Mate to surface open AI ML Engineering roles
ByteDance posts AI ML Engineering positions across multiple teams simultaneously. Use Migrate Mate to filter specifically for ByteDance roles that include visa sponsorship, so you are targeting active requisitions rather than relying on a general careers page search.
AI ML Engineering at ByteDance jobs are hiring across the US. Find yours.
Find AI ML Engineering at ByteDance JobsFrequently Asked Questions
Does ByteDance sponsor H-1B visas for AI ML Engineers?
Yes, ByteDance sponsors H-1B visas for AI ML Engineering roles. The company works with immigration counsel to file petitions during the annual H-1B cap season, which opens in March with a lottery selection for most applicants. If you hold a U.S. master's degree or higher in a qualifying field, you fall into the advanced degree pool, which has a separate allocation under the cap.
Which visa types does ByteDance sponsor for AI ML Engineering roles?
ByteDance sponsors H-1B, H-1B1, and E-3 visas for AI ML Engineering positions, along with immigrant visa pathways including EB-2 and EB-3 for longer-term sponsorship. Australian citizens should specifically ask about E-3, which has no lottery and can be processed faster than H-1B. H-1B1 is available to nationals of Chile and Singapore under free trade agreements.
What qualifications does ByteDance expect for AI ML Engineering roles?
ByteDance typically expects a bachelor's or master's degree in computer science, electrical engineering, statistics, or a closely related field. Practical experience with large-scale model training frameworks such as PyTorch or JAX, distributed systems, and production ML pipelines carries significant weight. Research publications or contributions to open-source ML projects can strengthen your application, particularly for roles closer to applied research.
How do I apply for AI ML Engineering jobs at ByteDance?
You can apply directly through ByteDance's careers portal or find sponsorship-confirmed AI ML Engineering openings through Migrate Mate, which filters roles by visa type so you can identify positions where ByteDance has indicated sponsorship availability. When applying, tailor your materials to the specific team and product area. ByteDance recruits year-round for these roles, so timing your application around H-1B cap season in early spring matters if you need a new petition.
How long does the visa sponsorship process take if I receive an offer from ByteDance?
Timeline depends on your visa category. An E-3 or H-1B1 can move from offer to approval in four to eight weeks if your employer files promptly and the DOL certifies the Labor Condition Application quickly. A cap-subject H-1B requires waiting for the lottery in April with employment starting October 1 at the earliest. EB-2 and EB-3 Green Card sponsorship through PERM typically takes two or more years depending on your country of birth and priority date.
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