(GENERAL HIRE) MACHINE LEARNING ENGINEER GRADUATE (TIKTOK RECOMMENDATION) - 2025 START (BS/MS)
Company: TikTok
Location: San Jose
Posted on: November 8, 2024
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Job Description:
Responsibilities
Find out more about the daily tasks, overall responsibilities, and
required experience for this opportunity by scrolling down now.
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
its offices include New York, London, Dublin, Paris, Berlin, Dubai,
Jakarta, Seoul, and Tokyo.Why Join Us
Creation is the core of TikTok's purpose. Our platform is built to
help imaginations thrive. This is doubly true of the teams that
make TikTok possible. Together, we inspire creativity and bring joy
- a mission we all believe in and aim towards achieving every day.
To us, every challenge, no matter how difficult, is an opportunity;
to learn, to innovate, and to grow as one team. Status quo? Never.
Courage? Always. At TikTok, we create together and grow together.
That's how we drive impact - for ourselves, our company, and the
communities we serve. Join us.About the Team
The recommendation algorithm team plays a central role in the
company, driving critical product decisions and platform growth.
The team is made up of machine learning researchers and engineers,
who support and innovate on production recommendation models and
drive product impact. The team is fast-paced, collaborative and
impact-driven.Responsibilities - What You'll Do
- Build industry-leading recommendation system, improving user
experience, 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.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
TikTok.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
TikTok and its affiliates' jobs globally.Qualifications
Minimum Qualifications:
- Bachelor degree or above in the field of computer science or a
related technical discipline
- Proficient coding skills and strong algorithm & data structure
using C++/Python or other programming language
- Experienced in Machine Learning, familiar with at least one Deep
Learning framework, e.g. PyTorch, Tensorflow.
- Experienced in one or more of the following areas, e.g. NLP, CV,
Recommender System, and Machine Learning, etc
- Effective communication and teamwork skills
Preferred Qualifications:
- Authors of published papers in top academic conferences is an
advantage
- Winners of algorithm and machine learning competitions such as
ACM and Kaggle is an advantage
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 this link.Job
Information:
---For Pay Transparency---Compensation Description (annually)
The base salary range for this position in the selected city is
$119,000 - $177,000 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.Our company benefits are designed to
convey company culture and values, to create an efficient and
inspiring work environment, and to support our employees to give
their best in both work and life. We offer the following benefits
to eligible employees:We cover 100% premium coverage for employee
medical insurance, approximately 75% premium coverage for
dependents and offer a Health Savings Account (HSA) with a company
match. As well as Dental, Vision, Short/Long term Disability, Basic
Life, Voluntary Life and AD&D insurance plans. In addition to
Flexible Spending Account (FSA) Options like Health Care, Limited
Purpose and Dependent Care.Our time off and leave plans are: 10
paid holidays per year plus 17 days of Paid Personal Time Off
(PPTO) (prorated upon hire and increased by tenure) and 10 paid
sick days per year as well as 12 weeks of paid Parental leave and 8
weeks of paid Supplemental Disability.We also provide generous
benefits like mental and emotional health benefits through our EAP
and Lyra. A 401K company match, gym and cellphone service
reimbursements. The Company reserves the right to modify or change
these benefits programs at any time, with or without notice.
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Keywords: TikTok, Pleasanton , (GENERAL HIRE) MACHINE LEARNING ENGINEER GRADUATE (TIKTOK RECOMMENDATION) - 2025 START (BS/MS), Engineering , San Jose, California
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