Sr Machine Learning Engineer, Account Integrity
Company: Aitopics
Location: San Jose
Posted on: November 13, 2024
Job Description:
Sr Machine Learning Engineer, Account IntegrityTikTok 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 UsCreation 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.The
Business Risk Integrated Control (BRIC) team is missioned to:
- Protect TikTok users, including and beyond content consumers,
creators, advertisers;
- Secure platform health and community experience
authenticity;
- Build infrastructures, platforms and technologies, as well as
to collaborate with many cross-functional teams and
stakeholders.The BRIC team works to minimize the damage of
inauthentic behaviors on TikTok platforms (e.g. TikTok, CapCut,
Lark), covering multiple classical and novel community and business
risk areas such as account integrity, engagement authenticity, anti
spam, API abuse, growth fraud, live streaming security and
financial safety (ads or e-commerce), etc. In this team you'll have
a unique opportunity to have first-hand exposure to the strategy of
the company in key security initiatives, especially in building
scalable and robust, intelligent and privacy-safe, secure and
product-friendly systems and solutions. Our challenges are not some
regular day-to-day technical puzzles -- You'll be part of a team
that's developing novel solutions to first-seen challenges of a
non-stop evolvement of a phenomenal product eco-system. The work
needs to be fast, transferrable, while still down to the ground to
making quick and solid differences.Responsibilities:
- Build machine learning solutions to respond to and mitigate
business risks in TikTok products/platforms. Such risks include and
are not limited to abusive accounts, fake engagements, spammy
redirection, scraping, fraud, etc.
- Improve modeling infrastructures, labels, features and
algorithms towards robustness, automation and generalization,
reduce modeling and operational load on risk adversaries and new
product/risk ramping-ups.
- Uplevel risk machine learning excellence on privacy/compliance,
interpretability, risk perception and
analysis.QualificationsMinimum Qualifications:
- Master or above degree in computer science, statistics, or
other relevant, machine-learning-heavy majors.
- Solid engineering skills. Proficiency in at least two of:
Linux, Hadoop, Hive, Spark, Storm.
- Strong machine learning background. Proficiency or publications
in modern machine learning theories and applications such as deep
neural nets, transfer/multi-task learning, reinforcement learning,
time series or graph unsupervised learning.
- Ability to think critically, objectively, rationally. Reason
and communicate in result-oriented, data-driven manner. High
autonomy.Preferred Qualifications:
- 3 years of industry experience in a software development
environment.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/cdpT2Job InformationThe base salary
range for this position in the selected city is $194000 - $355000
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.
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Keywords: Aitopics, Fairfield , Sr Machine Learning Engineer, Account Integrity, Engineering , San Jose, California
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