Software Engineer Graduate (AIGC Platform - Monetization GenAI) - 2025 Start (PhD)

1 Month ago • All levels • Devops • $145,000 PA - $250,000 PA

Job Summary

Job Description

This role is for a Software Engineer Graduate within the Generative AI team under Monetization Technology. The team develops cutting-edge Generative AI technologies across various modalities to enhance creative efficiency for advertisers, agencies, and creators. Responsibilities include enhancing the Generative AI Platform's availability, scalability, and cost-efficiency, engineering robust data processing and large language model pipelines, and providing a cutting-edge platform for ML model development. The ideal candidate will drive engineering excellence, optimize resource use, and stay updated on machine learning infrastructure advancements to accelerate model deployment and enhance platform performance.
Must have:
  • Enhance Generative AI Platform availability, scalability, and cost-efficiency.
  • Engineer robust data processing and large language model pipelines.
  • Drive engineering excellence and optimization for ML platform resources.
  • Provide cutting-edge platform for model researchers and data pipeline engineers.
  • Stay abreast of latest advancements in machine learning infrastructure.
  • PhD in Computer Science, Computer Engineering, or related field.
  • Proficiency in Python and deep learning frameworks like PyTorch.
  • Strong skills in Linux, Docker, Kubernetes, high-performance computing, IaC.
  • Expertise in scaling and optimizing generative AI in GPU environments.
  • Expertise in scaling generative AI models using parallel techniques on GPUs.
  • Proven ability to guide and automate model deployment efficiently.
Good to have:
  • Good experience in CUDA, training/inference FP8/FP4 optimization etc.
  • Deep understanding of cloud infrastructure platforms like GCP/Azure.
  • Experience collaborating with DevOps/SRE teams for large-scale ML project deployments.
  • Familiarity with scheduling services like Linux Slurm, Kubernetes Volcano, or third-party tools like Run.AI.
  • Experience in large-scale ML training and deployment, familiarity with distributed computing frameworks such as Ray.io.
  • Strong problem-solving skills, and proficient in communication, collaboration, and project management.
Perks:
  • day one access to medical, dental, and vision insurance
  • 401(k) savings plan with company match
  • paid parental leave
  • short-term and long-term disability coverage
  • life insurance
  • wellbeing benefits
  • 10 paid holidays per year
  • 10 paid sick days per year
  • 17 days of Paid Personal Time (prorated upon hire with increasing accruals by tenure)
  • additional discretionary bonuses/incentives
  • restricted stock units

Job Details

Responsibilities

We are Generative AI team under Monetization Technology. Our team focuses on developing cutting-edge Generative AI techs across all modalities, including text, image, videos, landing pages, etc., and creates industry-leading technical solutions to improve creative efficiency for advertisers, agencies and creators. We are committed to automated creative workflows by leveraging Generative AI technologies, to increase overall revenue for advertisers, agencies and creators. We aim to drive and lead the generative AI in the ads tech and creative industry, powering products and driving values for our clients, creators, and the whole ecosystem. We are looking for infrastructure engineers who are excited to grow their business understanding, build highly scalable and reliable software/infrastructure, partner across functions with global teams, and make big impacts. If you are someone who welcomes challenges, we are eager to have you on the team! We are looking for talented individuals to join our team in 2025. As a graduate, you will get unparalleled opportunities for you to kickstart your career, pursue bold ideas and explore limitless growth opportunities. Co-create a future driven by your inspiration with ByteDance. Successful candidates must be able to commit to an onboarding date by end of year 2025. We will prioritize candidates who are able to commit to these start dates. Please state your availability and graduation date clearly in your resume. Applications will be reviewed on a rolling basis. We encourage you to apply early. Candidates can apply for a maximum of TWO positions and will be considered for jobs in the order you applied for. The application limit is applicable to ByteDance and its affiliates' jobs globally. Responsibilities - Work closely with infrastructure architects and SREs and to enhance the Generative AI Platform's availability, scalability, and cost-efficiency. - Engineer robust, high-performance data processing and large language model training/inference pipelines, drive engineering excellence and optimization initiatives to ensure the most effective use of resources, including cost optimization and performance tuning of the ML platform. - Provide a cutting-edge platform to model researchers and data pipeline engineers, accelerating the development and deployment of innovative ML models. - Stay abreast of the latest advancements in machine learning infrastructure to implement solutions that enhance platform efficiency and performance.

Qualifications

Minimum Qualifications:

1. PhD in Computer Science, Computer Engineering, or a related field.

2. Proficiency in Python and familiarity with deep learning frameworks like PyTorch. Strong skills in Linux, Docker, Kubernetes, and high-performance computing principles, including Infrastructure as Code (IaC).

3. Demonstrated expertise in scaling and optimizing generative AI engineering tasks in GPU-intensive environments.

4. Expertise in scaling generative AI models using sequence parallel, model parallel, and pipeline parallel techniques on multiple GPUs.

5. Proven ability to guide and automate the acceleration of model deployment efficiently, enhancing platform capabilities and reducing time-to-market for new features.

Preferred Qualifications:

1. Technical Skills: A strong preference for candidates with good experience in CUDA, training/inference FP8/FP4 optimization etc.

2. Deep understanding of cloud infrastructure platforms like GCP/Azure, and experience collaborating with DevOps/SRE teams for large-scale ML project deployments.

3. Experience with Scheduling Services: Familiarity with scheduling services like Linux Slurm, Kubernetes Volcano, or third-party tools like Run.AI, etc.

4. Distributed Computing: Experience in large-scale ML training and deployment, familiarity with distributed computing frameworks such as Ray.io.

5. Strong problem-solving skills, and proficient in communication, collaboration, and project management.

Job Information

【For Pay Transparency】Compensation Description (Annually):

The base salary range for this position in the selected city is $145000 - $250000 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:​

1. Interacting and occasionally having unsupervised contact with internal/external clients and/or colleagues;​

2. Appropriately handling and managing confidential information including proprietary and trade secret information and access to information technology systems; and​

3. 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

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About The Company

Founded in 2012, ByteDance's mission is to inspire creativity and enrich life. With a suite of more than a dozen products, including TikTok 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.
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