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๐ ByteDance Machine Learning Engineer Graduate 2027 (E-Commerce Risk Control) in Seattle: $121.6K–$243.2K, Apply Now | Placement Officer
๐ Quick Summary
ByteDance (the company behind
TikTok) is hiring a Machine Learning Engineer Graduate for its E-Commerce
Risk Control team in Seattle, for a 2027 start (Job Code: A24747,
Regular, Technology team). You'll build AI-native risk intelligence systems for
TikTok's products and platforms, using a multi-agent architecture with
tool-augmented (ReAct-style) reasoning. You need to be completing or to have
recently completed a Bachelor's in Computer Science, Computer Engineering or
a related field, with strong ML fundamentals, Python, SQL/Hive and
Hadoop, and solid data structures and algorithms. The listed base salary is
$121,600–$243,200 a year, plus possible bonuses and RSUs. Applications
are reviewed on a rolling basis, so apply early.
|
Detail |
Info |
|
๐ข
Company |
ByteDance
(TikTok) |
|
๐ผ
Role |
Machine
Learning Engineer Graduate, E-Commerce Risk Control, 2027 Start |
|
๐
Job Code |
A24747 |
|
๐
Location |
Seattle, USA |
|
๐ง๐ป
Type |
Regular
(full-time), Technology team |
|
๐
Education |
Completing
or recently completed Bachelor's in CS/Computer Engineering or related |
|
๐ฐ
Base Salary |
$121,600–$243,200
per year (+ possible bonuses and RSUs) |
๐ข About ByteDance
Founded in 2012, ByteDance's
mission is to inspire creativity and enrich life. Its products include TikTok,
Lemon8, CapCut and Pico, plus platforms for the China market such as Toutiao,
Douyin and Xigua. The company describes its culture around curiosity, humility,
impact and an "Always Day 1" mindset.
๐ง๐ป Detailed Job Description
About the Team ๐ค
The team is building the next
generation of AI-native risk intelligence systems. Large-scale AIGC
(AI-generated content) production and adversaries who experiment
systematically, for example with large-scale template variation and rapid
iteration, mean traditional rule-based and single-model approaches are no
longer enough. The team is moving from monolithic LLM applications to a structured
multi-agent architecture built around:
·
๐ ️ Tool-augmented
reasoning (ReAct-style systems)
·
๐งฉ Modular
skill composition
·
๐ Execution
traceability and observability
·
๐ Feedback-driven
system evolution
·
๐ Cross-domain
risk reasoning
Key Responsibilities ✅
1.
๐ง Develop
and implement innovative ML algorithms to manage business risks in TikTok's
products and platforms
2.
๐งช Prototype
novel solutions, run experiments to validate hypotheses and share insights
with Product and Tech teams
3.
๐ค Collaborate
with multidisciplinary teams to improve current automation processes
4.
๐️ Build
efficient data querying infrastructure for real-time and offline analysis,
and find ways to strengthen risk defense
5.
๐ Define
risk control metrics, promote data-driven practices and align teams on
numeric goals
6.
๐ Document
technical processes and communicate results through writing, visualizations
and presentations
Minimum Qualifications ๐ฏ
·
๐
Completing or recently completed a Bachelor's in Computer Science,
Computer Engineering or a related discipline
·
๐ค
Proficiency in modern ML theory and applications, including ensemble trees,
deep neural networks, transfer/multi-task learning, reinforcement learning,
graph theory and unsupervised learning
·
๐
Experience with Python, SQL/Hive and Hadoop
·
๐งฎ
Strong grasp of data structures and algorithms and excellent problem
solving
·
๐
Detail-oriented, with good time management and strong analytical skills
Preferred Qualifications ⭐
·
๐
Completing or recently completed a Master's in Software Development, CS,
Computer Engineering or related
·
๐ป
Software engineering experience from internships, work, coding competitions
or publications
·
๐
Internship or research experience, especially in e-commerce or risk control
·
๐ก
Curiosity about new technologies and entrepreneurship
·
⚡ Creativity
and quick problem solving
Important Application Rules ๐
·
⏳ You must be
able to commit to an onboarding date by the end of the year
·
๐ State
your availability and graduation date clearly on your rรฉsumรฉ
·
2️⃣ You can
apply to a maximum of two positions, and you'll be considered in the
order you apply. This limit applies to ByteDance and its affiliates' jobs globally.
·
๐
Applications are reviewed on a rolling basis, so apply early
๐ Batches Eligible (Based on the Job Description)
The posting says "completing
or recently completed" a Bachelor's degree, and the role is a 2027
start. My reading:
·
✅ Class of
2027 graduates, the main target for a 2027 start
·
✅ Class of
2026 graduates who have recently completed their degree and are available
·
⭐ Master's
students and graduates (2026 or 2027) are explicitly preferred
·
⚠️ Class of
2028 and later aren't a fit for this start date
·
⚠️ Older
graduates should check with recruiters whether they still count as
"recently completed"
·
๐ Branches:
Computer Science, Computer Engineering or a related discipline
The listing doesn't say anything
about visa sponsorship or work authorization, so confirm that requirement on
the official application page.
๐ Job Location
Seattle, USA. The posting
doesn't specify remote or hybrid work. Other ByteDance and TikTok Seattle
engineering listings I found were marked in-person, so plan for on-site work
unless the recruiter says otherwise.
๐ฐ Expected Salary: What the Job Pays and How It Compares
The offer ๐ต
The listed base salary range is
$121,600–$243,200 a year in the selected city. Pay can vary with
qualifications, skills and experience, and the role may include discretionary
bonuses and restricted stock units (RSUs).
How it compares
|
Source |
What it shows |
|
ByteDance
grad ML role (Data-Search-Recommendation, BS/MS, 2026 start) |
Base range
of about $112,725–$177,840 |
|
ByteDance ML
Engineer Graduate (E-Commerce Recommendation, PhD, 2026 start, Seattle) |
Range of
about $130K–$246K |
|
ByteDance
Research Engineer Graduate (PhD, Seattle) |
Range of
about $178K–$342K |
|
Interview
Query, TikTok ML engineers |
Average base
of about $198,150, from 20 data points, versus about $142,835 for ML
engineers overall |
|
ByteDance
Senior ML Engineer (Seattle) |
Range of $178,069–$341,734
plus equity |
Takeaway ๐: This role's
range is higher than the BS/MS graduate role listed at about $112K–$178K and
sits close to other Seattle graduate ML postings. Where you land in the band
depends on your degree level (a Master's or PhD tends to fall higher),
experience, and competing offers. Total pay can be higher once bonuses and RSUs
are included.
๐ Benefits Listed
·
๐ฅ Day-one
medical, dental and vision insurance
·
๐ฐ 401(k)
with company match
·
๐ถ Paid
parental leave
·
๐ก️
Short-term and long-term disability coverage, plus life insurance
·
๐ง
Wellbeing benefits
·
๐ด 10
paid holidays, 10 paid sick days and 17 days of paid personal
time (prorated on hire, increasing with tenure)
๐ ️ Essential Skills to Land This Job
Technical skills ๐ป
1.
Python, the main ML language here
2.
SQL,
Hive and Hadoop for large-scale data querying
3.
ML
fundamentals: ensemble trees (XGBoost,
LightGBM), deep neural networks, transfer and multi-task learning,
reinforcement learning, graph methods and unsupervised learning
4.
Data
structures and algorithms
5.
LLM
and agent basics: ReAct-style reasoning, tool use,
multi-agent design (a strong differentiator given the team's focus)
6.
Experiment
design, A/B testing and metrics definition
7.
Data pipelines
for real-time and offline analysis
8.
Bonus:
e-commerce, fraud or risk-control experience; competitive programming;
publications
Soft skills ๐ค
·
Clear
communication through documents, visuals and presentations
·
Attention to
detail and time management
·
Cross-team
collaboration with Product and Tech
·
Curiosity,
creativity and quick problem solving
๐ Pro Tips to Apply and Get Shortlisted
1.
๐
State
your graduation date and availability clearly on your rรฉsumรฉ, since the
posting explicitly asks for both.
2.
⚡ Apply
early. Reviews are rolling, so late applicants may miss out.
3.
2️⃣ Choose
your two applications carefully. You're limited to two, considered in the
order you apply, across ByteDance and its affiliates globally.
4.
๐ฏ Tailor
your rรฉsumรฉ. Use the posting's terms: risk control, multi-agent,
tool-augmented reasoning, ensemble trees, Hive, Hadoop and experimentation.
5.
๐งช Show
ML projects with results. Include metrics such as precision, recall, AUC or
latency, and what you personally built.
6.
๐ค Build
something agentic. A small ReAct-style agent with tool use and logging
shows you understand the team's direction.
7.
๐ Highlight
fraud, abuse, moderation or e-commerce work if you have any, even from a
class project or Kaggle.
8.
๐️ Practice
SQL and big data. Be ready to write queries and explain how you'd process
large datasets.
9.
๐งฎ Revise
DSA and ML theory. Expect both coding and ML fundamentals questions.
10. ๐ Mention competitions,
publications and internships, which the posting lists as preferred.
❓ Frequently Asked Questions (FAQs)
Q1. What is the job code for this role?
A24747.
Q2. Where is the job located?
Seattle, USA.
Q3. What is the salary?
A base salary of $121,600–$243,200 per year, plus possible bonuses and
RSUs.
Q4. Who can apply?
People completing or who recently completed a Bachelor's in Computer Science,
Computer Engineering or a related field. Master's candidates are preferred.
Q5. Is this for the 2027 batch?
It's a 2027 start role, so the Class of 2027 is the main target. Recent
2026 graduates may also fit.
Q6. Do I need work experience?
No professional experience is required, but internships, research, competitions
or publications are preferred.
Q7. What programming skills are required?
Python, SQL/Hive and Hadoop, with strong data structures and algorithms.
Q8. How many ByteDance jobs can I apply to?
A maximum of two positions, and this applies globally to ByteDance and its
affiliates.
Q9. Is the role remote?
The posting doesn't say. Similar Seattle listings appear to be in-person, so
confirm with the recruiter.
Q10. What is the team working on?
AI-native risk intelligence systems, moving to a structured multi-agent
architecture for TikTok's platforms.
๐ Conclusion
The ByteDance E-Commerce Risk Control ML Engineer Graduate role is a strong pick for new grads who want to work on multi-agent AI systems at scale. The base pay is high, the benefits are solid and the work is on the front line of AIGC-era risk problems. Make sure your ML fundamentals, Python and SQL are sharp, put your graduation date on your rรฉsumรฉ, use your two applications wisely and apply early. ๐
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