Machine Learning Jobs at ByteDance with Visa Sponsorship
ByteDance builds some of the most computationally intensive ML systems in the world, and Machine Learning roles here span recommendation engines, computer vision, NLP, and large-scale model training. The company has a strong track record of sponsoring international talent across multiple visa categories for this function.
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Get Access To All JobsLocation:
San Jose
Team:
Technology
Employment Type:
Regular
Job Code:
A105778
Responsibilities:
- Design and implement ML compiler for proprietary custom edge NPU architectures that meet latency, memory and power targets.
- Implement operator fusion, memory planning and target lowering passes that support both static and dynamic shape compilation flows.
- Apply knowledge of hardware architecture to optimize latency, memory footprint and bandwidth, most importantly power and thermal constraints.
- Work closely with architecture and runtime engineers to define, develop and debug ML inference on target hardware platforms.
MINIMUM QUALIFICATIONS
- Master's degree in Computer Science, Electrical Engineering, Computer Engineering, or a related field, or equivalent practical experience.
- 3+ years of industry experience in compiler development, ML systems.
- Solid understanding of compiler fundamentals: IR design, graph transformations, scheduling, memory planning.
- Strong understanding of deep learning model structures of both CNNs and Transformers.
- Understanding of hardware concepts: memory, cache, DMA, tiling, vectorization, systolic array, etc.
- Strong C/C++ or Rust proficiency.
PREFERRED QUALIFICATIONS
- 5+ years of relevant industry experience.
- Understanding of quantization concepts (e.g. Observers, static/dynamic quantization).
- Experience with ML compiler stacks such as torch.compile, MLIR, XLA, IREE or TVM.
COMPENSATION
- The base salary range for this position in the selected city is $212800 - $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 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:
Regular
Job Code:
A105778
Responsibilities:
- Design and implement ML compiler for proprietary custom edge NPU architectures that meet latency, memory and power targets.
- Implement operator fusion, memory planning and target lowering passes that support both static and dynamic shape compilation flows.
- Apply knowledge of hardware architecture to optimize latency, memory footprint and bandwidth, most importantly power and thermal constraints.
- Work closely with architecture and runtime engineers to define, develop and debug ML inference on target hardware platforms.
MINIMUM QUALIFICATIONS
- Master's degree in Computer Science, Electrical Engineering, Computer Engineering, or a related field, or equivalent practical experience.
- 3+ years of industry experience in compiler development, ML systems.
- Solid understanding of compiler fundamentals: IR design, graph transformations, scheduling, memory planning.
- Strong understanding of deep learning model structures of both CNNs and Transformers.
- Understanding of hardware concepts: memory, cache, DMA, tiling, vectorization, systolic array, etc.
- Strong C/C++ or Rust proficiency.
PREFERRED QUALIFICATIONS
- 5+ years of relevant industry experience.
- Understanding of quantization concepts (e.g. Observers, static/dynamic quantization).
- Experience with ML compiler stacks such as torch.compile, MLIR, XLA, IREE or TVM.
COMPENSATION
- The base salary range for this position in the selected city is $212800 - $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 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 57+ Machine Learning at ByteDance jobs
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Get Access To All JobsTips for Finding Machine Learning Jobs at ByteDance Jobs
Align your research portfolio to ByteDance's systems
ByteDance prioritizes ML engineers who have worked at scale, meaning distributed training, model optimization, or ranking systems. Tailor your resume and GitHub to reflect these areas before applying, since generic deep learning experience blends into the background.
Target roles outside the H-1B lottery window
ByteDance sponsors multiple visa types, including E-3 for Australians and H-1B1 for Singaporean and Chilean nationals. If you hold one of these passports, applying outside the April lottery cycle gives you a direct path without waiting a full registration year.
Clarify sponsorship scope during the offer stage
At the offer stage, confirm whether ByteDance's in-house immigration team handles your filing or whether they use outside counsel. For ML roles, premium processing is common given project start dates, but verify this before signing so your timeline assumptions are accurate.
Prepare for a longer PERM timeline if you want permanence
ByteDance files EB-2 and EB-3 green card petitions for ML roles, but PERM labor certification through DOL currently takes over a year before an I-140 can even be filed. Factor this into your career planning, especially if you're starting on a visa with a short authorized period.
Use Migrate Mate to filter open ML roles by visa type
Not every ByteDance ML posting is tied to active sponsorship. Use Migrate Mate to filter Machine Learning openings at ByteDance by the visa categories you qualify for, so you're applying to roles where your status is already a match.
Document your specialized contributions before interviews
USCIS requires that H-1B petitions demonstrate a specific specialty occupation. For ML roles, gather evidence that your position requires a degree in computer science, statistics, or a directly related field, not just general engineering, to support a clean petition filing.
Machine Learning at ByteDance jobs are hiring across the US. Find yours.
Find Machine Learning at ByteDance JobsFrequently Asked Questions
Does ByteDance sponsor H-1B visas for Machine Learning roles?
Yes, ByteDance sponsors H-1B visas for Machine Learning positions and has consistently done so across engineering and research functions. Sponsorship is typically handled through their internal immigration team. If you're subject to the H-1B cap, you'll need to enter the annual USCIS registration lottery in March, with employment starting October 1 at the earliest.
How do I apply for Machine Learning jobs at ByteDance?
You can apply through ByteDance's careers portal or find open Machine Learning roles filtered by visa sponsorship eligibility on Migrate Mate. Before applying, review whether the role sits within TikTok, Lemon8, or another ByteDance product vertical, since hiring managers and team structures differ. Tailoring your application to the specific product area improves your chances of clearing the initial screen.
Which visa types does ByteDance commonly use for Machine Learning roles?
ByteDance sponsors H-1B, H-1B1, E-3, and employment-based Green Cards (EB-2 and EB-3) for Machine Learning roles. H-1B is the most common path for most international candidates. Australian nationals can use the E-3, and nationals of Singapore or Chile can use the H-1B1, both of which bypass the lottery entirely and allow for faster, more predictable timelines.
What qualifications does ByteDance expect for Machine Learning roles?
Most ByteDance ML roles require a bachelor's degree at minimum in computer science, statistics, or a closely related field, with many research-oriented positions expecting a master's or PhD. Practically, hiring teams look for experience with large-scale training infrastructure, familiarity with PyTorch or JAX, and evidence of shipping models in production environments rather than purely academic research output.
How long does the visa sponsorship process take for a ByteDance Machine Learning offer?
For H-1B cap cases, the timeline runs from March registration through an October 1 start date, roughly seven months minimum. E-3 and H-1B1 petitions can move faster since they're not lottery-dependent and can be filed year-round. ByteDance commonly uses USCIS premium processing for ML roles, which reduces the adjudication window to around 15 business days once the petition is filed.
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