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Selected role

Machine Learning Engineer - Large Language Models

ByteDance San Jose, CA

$187k - $359k Senior Full-time

Responsibilities
About the Team:

The Applied Machine Learning Enterprise team combines system engineering and machine learning to develop and operate Large Language Model (LLM) service platform that offers businesses Model-as-a-Service solutions (MaaS) to both the big model vendors and users. The Applied Machine Learning Enterprise US team drives the design, development, and operation of MaaS solutions in US and rest of world overseas of mainland China. We are building full stack end-to-end solutions covering text and multi-modality LLM algorithms, LLM training/finetuning/inference frameworks, heterogeneous hardware architectures, prompting engineering, LLM model alignment, and intelligent agents, etc. We are actively seeking talented Software Development Engineer specializing in Large Language Models (LLM) to join our dynamic team.

Responsibilities:

lead the creation of next-generation, high-capacity LLM platforms and innovative products.
work closely with cross-functional teams to plan and implement projects harnessing LLMs for diverse purposes and vertical domains.
maintain a deep passion for contributing to the success of large models is essential in this innovative and fast-paced team environment.

Qualifications
Minimum Qualifications:

Bachelor’s or Master’s degree in Computer Science, Data Science, Mathematics, or a related field (Master’s preferred).
3–5 years of experience in machine learning, data engineering, or software development, with a track record of delivering end-to-end projects from prototype design to production deployment.
Programming: Proficient in Python (core), familiar with Java and ML toolchains (e.g., scikit-learn).
Familiarity with front-end frameworks, like React, Angular, or Vue.js
Familiarity with HTML/CSS/JavaScript and responsive design principles, capable of independently developing and optimizing model-related interfaces.
Strong ability in data structure design, modeling, and visualization (e.g., Matplotlib/Tableau); experience in complex dataset cleaning, feature engineering, and statistical analysis.

Preferred Qualifications:

Communication & Collaboration: Excellent cross-functional communication skills; ability to clearly convey technical value to non-technical stakeholders and align team objectives.

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

Job Information
【For Pay Transparency】Compensation Description (Annually)

The base salary range for this position in the selected city is $187040 - $359720 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.

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