Machine Learning Ops Engineer, Global SRE San Jose Regular

TikTok

San Jose (CA)

Hybrid

USD 288,000 - 480,000

Full time

14 days+
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Benefits offered by this job

Medical insurance
Dental insurance
Vision insurance
401(k) match
Paid time off

Job summary

TikTok is hiring a Machine Learning Ops Engineer in San Jose to support a Global SRE team. You will define SLOs, keep online and offline ML tasks stable, and scale GPU training across regions.

You will work on AIGC ML tasks, resource planning, cost management, and ensuring efficient ML operations within Monetization Products and Technology.

Qualifications

  • Bachelor's degree in Computer Science or Software Engineering or equivalent.
  • Expertise in Linux operating systems, networking and storage.
  • Experience programming in Python/Go/C/C++/Java and production operations.

Responsibilities

  • Set SLOs for online ML serving systems and maintain stability.
  • Maintain stability of offline ML training tasks and improve success rate.
  • Roll out GPU model training in Non-China regions.
  • Ensure stability of AIGC-related ML tasks.
  • Plan and manage ML resource costs and efficiency.

Skills

Python
Go
C
C++
Java
Linux
Networking
Storage
SRE
Communication

Education

Bachelor's degree in Computer Science or Software Engineering

Job description

Machine Learning Ops Engineer, Global SRE
Location:

San Jose

Employment Type:

Regular

Job Code:

A181865

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Responsibilities

MLOps - Global SRE team is responsible for the stability of machine learning systems under the Global Monetization Products and Technology organization, to ensure the stable and efficient operations of machine learning models from data preparation, development, training, deployment, serving and so on.

  1. Responsible for setting SLOs of online machine learning serving systems, maintaining the stability of the online serving systems.
  2. Responsible for maintaining stability of offline machine learning training tasks, improving the success rate of the training tasks.
  3. Responsible for rolling out GPU model training in Non-China regions.
  4. Responsible for stability of AIGC related machine learning tasks.
  5. Responsible for resource management and planning of machine learning resources, including: cost and budget, resource efficiency enhancement, offline and online resources tides, etc.
Qualifications
Minimum Qualifications
  1. Bachelor's degree in Computer Science or Software Engineering, similar technical field of study, or equivalent practical experience.
  2. Expertise in Linux operating systems, networking, storage.
  3. Experience programming in at least one of the following programming languages: Python, Go, C, C++, or Java.
  4. Experience in troubleshooting application issues, or production operations.
  5. Effective communication skills and a sense of ownership and drive.
Preferred qualifications
  1. Experience in SRE of machine learning systems.
  2. Experience in SRE of ads/recommendation/search systems.
Job Information

The base salary range for this position in the selected city is $254400 - $480000 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;
  3. Exercising sound judgment.
About TikTok

TikTok is the leading destination for short-form mobile video. At TikTok, our mission is to inspire creativity and bring joy. TikTok's global headquarters are in Los Angeles and Singapore, and we also have offices in New York City, London, Dublin, Paris, Berlin, Dubai, Jakarta, Seoul, and Tokyo.

Why Join Us

Inspiring creativity is at the core of TikTok's mission. Our innovative product is 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 bring joy - a mission we work towards every day.

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. Every challenge is an opportunity to learn and innovate as one team. We're resilient and embrace challenges as they come. By constantly iterating and fostering an "Always Day 1" mindset, we achieve meaningful breaks for ourselves, our company, and our users. When we create and grow together, the possibilities are limitless. Join us.

Diversity & Inclusion

TikTok 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 TikTok, our mission is to inspire creativity and bring joy. 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.

TikTok Accommodation

TikTok 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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