Machine Learning Engineer, TikTok Content Recommendation (Ecosystem & Cold-Start) San Jose Technology - Algorithm Regular

TikTok

San Jose (CA)

Hybrid

USD 162,000 - 317,000

Full time

21 hours ago
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Benefits offered by this job

Medical insurance
Dental and vision coverage
401(k) with company match
Parental leave
Disability insurance
Life insurance
Wellbeing benefits
Paid holidays
Paid sick days
Paid Personal Time

Job summary

TikTok is hiring a Machine Learning Engineer in San Jose for the Content Recommendation team to design and optimize large-scale recommendation algorithms, deliver end-to-end ML solutions, and improve the overall user experience across the ecosystem.

You will own the full stack ML system, work with cross-functional teams to define product strategies, and contribute to scalable infrastructure and models used in important markets.

Qualifications

  • Bachelor degree in CS or related field with 2+ years of experience.
  • Strong software development with C++ and Python.
  • Experience in ML, ML infrastructure, large-scale recommender systems.
  • Strong communication and teamwork skills.
  • Passion for solving challenging problems.

Responsibilities

  • Build industry-leading recommendation system to improve user experience.
  • Deliver end-to-end ML solutions for product challenges.
  • Own full-stack ML system and optimize algorithms.
  • Collaborate with cross-functional teams to grow TikTok in key markets.

Skills

C++/Python programming
Machine learning
Large-scale recommender systems
Communication
Team collaboration

Education

Bachelor's degree in CS or related field

Job description

Machine Learning Engineer, TikTok Content Recommendation (Ecosystem & Cold-Start)

Location:

San Jose

Employment Type:

Regular

Job Code:

A62567

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Responsibilities

About the TeamOur team is responsible for designing and optimizing TikTok's content distribution and author growth mechanism to ensure the healthy and sustainable development of TikTok's content ecosystem. Our work involves optimizing large-scale recommendation algorithms, solving optimization problems with complex constraints, designing and implementing recommendation architectures for various scenarios, and conducting complex and in-depth analyses of product data. Here, you can drive deeper into the improvement and optimization of machine learning/deep learning algorithms, including but not limited to Mathematics, CV/NLP technology, multi-task learning, multi-modal technology, meta-learning, reinforcement learning, causal inference, metric learning, graph neural networks, active learning, life long learning, etc.Responsibilities - What You'II Do- Build industry-leading recommendation system, improving user experience, the content ecosystem and platform security;- Deliver end-to-end machine learning solution to address critical product challenges;- Own the full stack machine learning system and optimize algorithms and infrastructure to improve recommendation performance.- Work with cross functional teams to design product strategies and build solutions to grow TikTok in important markets.

Qualifications

Minimum Qualifications- Bachelor degree or above in computer science or a related major, with 2+ years of related work experience;- Strong software development experience with C++, Python or other programming language;- Experience in one or more of the following areas: applied machine learning, machine learning infrastructure, large-scale recommendation system, market-facing machine learning product;- Strong communication and teamwork skills;- Passion about techniques and solving challenging problems.

Job Information

The base salary range for this position in the selected city is $162000 - $316800 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 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 breakthroughs 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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