Machine Learning Engineer, Foundation Model Applications

TikTok

4.5

(6)

San Jose, CA

Why you should apply for a job to TikTok:

  • 4.5/5 in overall job satisfaction
  • 4.5/5 in supportive management
  • 100% say women are treated fairly and equally to men
  • 100% would recommend this company to other women
  • 100% say the CEO supports gender diversity
  • Ratings are based on anonymous reviews by Fairygodboss members.
  • Employee well-being is supported via hybrid work, short-term counseling through our EAP and a premium subscription to Headspace.
  • We embrace diversity across all dimensions and provide employees with 9 employee resource groups globally, including our WOMEN ERG.
  • Comprehensive parental leave policy as well as fertility treatment through healthcare providers with a $20,000 lifetime maximum.
  • #7257229296313092411

    Position summary

    achine Learning team at TikTok, committed to spearheading innovation in leveraging cutting-edge technologies in foundation models to enhance TikTok's experience, an avenue that our organization sees as a very promising future direction. Our team culture cherishes the "First Principles Thinking" approach, and we deeply value understanding things at their core and focusing on delivering solid, well-grounded solutions.

    What you'll do:

    • Understand and optimize TikTok's industry-leading recommendation system
    • Deploy, prompt, and fine-tune cutting-edge foundation models
    • Apply foundation models to enhance TikTok's recommendation system and product offerings, improving the experience of billion-scale consumers and creators
    • Collaborate with cross-functional teams, including product managers, data scientists, and product engineers, to form and solve problems, refine machine learning algorithms, and communicate results
    • Regularly run A/B tests, perform analyses, and iterate algorithms based on results
    • Work with infrastructure teams on improving the efficiency and stability of machine learning systems

    Qualifications

    Minimum Qualifications:

    • Hands-on experience in one or more of the following areas: Machine Learning, Deep Learning, Recommender Systems, Data Mining, Natural Language Processing, or Computer Vision
    • Strong programming skills in Python and/or C/C++, and a deep understanding of data structures and algorithms
    • Familiar with architecture and implementation of at least one mainstream machine learning programming framework (TensorFlow/PyTorch/MXNet)
    • Excellent communication and teamwork skills, and a passion for learning new techniques and tackling challenging problems

    Preferred Qualifications:

    • Prior research/industry experience with deploying, prompting, and fine-tuning foundation models
    • Prior research/industry experience with applied machine learning, or large-scale recommendation systems
    • Publications at major AI-related conferences such as NeurIPS, ICML, ICLR, AAAI, IJCAI, ACL, NAACL, EMNLP, CVPR, ICCV, ECCV, KDD, ICDM, SDM, RecSys, or simply on arXiv but with large impact
    • Strong track record in AI-related competitions, or participation in public/open-source AI-related projects of high visibility
    • A strong passion for First Principles Thinking

    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 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://shorturl.at/cdpT2

    Job Information

    [For Pay Transparency] Compensation Description (annually)

    The base salary range for this position in the selected city is $126000 - $221760 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.

    Why you should apply for a job to TikTok:

  • 4.5/5 in overall job satisfaction
  • 4.5/5 in supportive management
  • 100% say women are treated fairly and equally to men
  • 100% would recommend this company to other women
  • 100% say the CEO supports gender diversity
  • Ratings are based on anonymous reviews by Fairygodboss members.
  • Employee well-being is supported via hybrid work, short-term counseling through our EAP and a premium subscription to Headspace.
  • We embrace diversity across all dimensions and provide employees with 9 employee resource groups globally, including our WOMEN ERG.
  • Comprehensive parental leave policy as well as fertility treatment through healthcare providers with a $20,000 lifetime maximum.