New Grad 2027: Machine Learning Backend Engineer (AML MLDev)

Machine Learning Backend Engineer Graduate (AML MLDev) - 2027 Start Life at ByteDance Our CultureOur Philosophy Teams Advertising & SalesCorporate FunctionsDesignE-CommerceGlobal OperationsMarketing & CommunicationsProductTechnology How We Hire Applying to ByteDanceInterview TipsFrequently Asked Questions Locations Early Careers Early Careers at ByteDanceAmericasAsia PacificEurope, the UK and the Middle EastGlobal Frontier Tech Recruitment ProgramPhD OpportunitiesFAQs Blog Jobs Apply EN 日本語 Join us as we work together to inspire creativity and enrich life around the globe.

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Location

San Jose Team: Technology Employment Type: Regular Job Code: A155204 Apply to this job Share this listing:

Responsibilities

• Data AML is ByteDance's Machine Learning mid-platform, providing training and inference systems for recommendation/advertising for businesses such as Douyin, Jinri Toutiao, and Xigua Video.
• It provides powerful Machine Learning computing power for internal business units within the company and conducts research on some general and innovative algorithms for issues in these businesses.
• We are looking for talented individuals to join our team.
• As a graduate, you will get opportunities to pursue bold ideas, tackle complex challenges, and unlock limitless growth.
• Successful candidates must be able to commit to an onboarding date by the end of the year.
• Please state your availability and graduation date clearly in your resume.
• Candidates can apply to a maximum of two positions and will be considered for jobs in the order you apply.
• The application limit is applicable to our Company and its affiliates' jobs globally.
• Applications will be reviewed on a rolling basis - we encourage you to apply early.

Job Description

• Responsible for the computational performance optimization of ByteDance's recommendation mid-platform models, conduct in-depth tuning for inference/training bottlenecks in business scenarios, and improve computing utilization.
• Lead the design and development of high-performance kernel libraries, covering general-purpose and business-customized kernels, including general computation and communication parallelism, to ensure the ultimate performance of kernels.
• Deeply cultivate model compilation optimization technology, and based on directions such as graph optimization, kernel fusion, computation scheduling, and code generation, build and improve the mid-platform model compilation system.
• Collaborate with the business and algorithm teams to identify performance issues, provide full stack performance analysis, bottleneck diagnosis, and optimization solutions, consolidate general-purpose performance optimization components, toolchains, and platform capabilities, and empower multiple internal business.

Minimum Qualifications

• Individuals who are completing or have recently completed a Bachelor's/ Master's degree in Software Development, Computer Science, Computer Engineering, or a related technical discipline, or a related discipline.
• Familiar with mainstream model compilation stacks (such as TVM, MLIR, XLA, etc.), with relevant experience in development, and optimization;
• Proficient in C/C++ development, familiar with assembly, CPU/GPU architecture, and cache mechanism, with practical experience in high-performance kernel development;
• Familiar with the underlying principles of deep learning frameworks (such as TensorFlow, PyTorch, OneFlow, etc.), understand the computational graph structure, inference/training execution process, and have experience in implementing model graph optimization and compilation optimization;
• Possess strong abilities in independent thinking, problem decomposition, performance troubleshooting, and practical optimization, and be able to independently overcome complex performance bottlenecks;

Preferred Qualifications

• Have experience in joint hardware and software design, and possess experience in heterogeneous computing projects;
• Have experience in contributing to or developing open-source deep learning kernel libraries, compilers, or inference engines;
• Have in-depth research experience on the underlying architecture and mechanisms of at least one machine learning framework (TensorFlow / PyTorch / MxNet or other self-developed frameworks).

Job Information 【For Pay Transparency】

Description

(Annually) The base salary range for this position in the selected city is $128000 - $256000 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 Us Founded in 2012, ByteDance's mission is to inspire creativity and enrich life. With a suite of more than a dozen products, including TikTok, Lemon8, CapCut and Pico as well as platforms specific to the China market, including Toutiao, Douyin, and Xigua, ByteDance has made it easier and more fun for people to connect with, consume, and create content. 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 Apply to this job