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Senior Applied Scientist, FinTelligence
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Applied Science Manager - Match & Affordances, Amazon Robotics
Amazon.com Services LLC —Seattle, WA
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Senior Applied Scientist - SLAM and Perception, Amazon Robotics
Amazon.com Services LLC —Denver, CO
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Applied Scientist III, Amazon - Ads Nova
Amazon.com Services LLC —New York, NY
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Sr. Applied Scientist, Selling Partner Communities (SPC)
Amazon.com Services LLC —Seattle, WA
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Amazon.com Services LLC —Sunnyvale, CA
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Machine Learning Engineer, Commerce Ads

TikTok -
San Jose, CA

Apply Now

Job Details

$156,000 - $316,800 a year

Benefits

Paid parental leave
Paid holidays
Disability insurance
Health insurance
Dental insurance
RSU
Parental leave
Vision insurance
401(k) matching
Life insurance
Paid sick time

Qualifications

Statistics
Statistics
Data structures
Research
AI platforms (beyond public GPTs)
Computational framework
Statistical analysis
Machine intelligence
Linux
Machine learning frameworks
Technical architecture

Full Job Description

Technology

Machine Learning Engineer, Commerce Ads

Location
:

San Jose

Employment Type
:

Regular

Job Code
:

A168575

Responsibilities

TikTok commerce ads team holds a strong advertiser focus and a dedication to technical excellence. We work with advertisers from all verticals, such as E-commerce, Retail, Travel etc, to make TikTok an irreplaceable growth channel for businesses of all sizes and a favorite destination for consumers to discover and purchase products, content, and services. We are on the critical path to delivering TikTok's Ads revenue and working on building the next-generation web ads solution for TikTok.

We are seeking Machine Learning Engineers who can help us to improve our existing delivery system that optimizes for advertisers' true business objectives, i.e. desired user value and effectiveness of ROI. You will have a chance to work with a fully globalized team made up of great engineering talents in different countries, and work closely with cross-functional teams to build proper and relevant connections between users, advertisers, and TikTok.

What You'll Do:

Build highly scalable machine learning systems and state-of-the-art machine learning models to improve ads ranking quality and optimize advertisers' marketing strategies. Examples include but are not limited to click through rate prediction, conversion rate prediction, intelligent format selection and user journey optimization.
Explore, develop and experiment with new features to improve model accuracy.
Understand ads platform objectives and take full advantage of modern machine learning to improve ads relevance, quality, and quantity delivered to end-users.
Collaborate with Product Managers, Designers, and other disciplines to explore the next generation of shopping experiences on TikTok.

Qualifications

Minimum Qualifications:

BS/MS degree in Computer Science, Computer Engineering, or other relevant majors, with related work experience.
Solid programming skills, including but not limited to: Go, C/C++, Python. Familiar with basic data structure and algorithms. Familiar with Linux development environment.
Good analytical thinking capability. Have essential knowledge and skills in statistics.
Good theoretical grounding in the machine and deep learning concepts and techniques (CNN/RNN/LSTM, etc.).
Familiar with the architecture and implementation of at least one mainstream machine learning programming framework (TensorFlow/PyTorch/MXNet), familiar with its architecture and implementation mechanism.

Preferred Qualifications:

Good understanding in one of the following domains: ads bidding & auction, ads quality control, and online advertising systems (familiar with one or more of these terms: CPC/CPM, CTR/CVR, Ranking /Targeting, Conversion/Budget, Campaign/Creative, Demand/Inventory, DSP/RTB).
Experience in resource management and task scheduling with large-scale distributed software (such as Spark and TensorFlow).
Relevant work or research experiences in search and recommendation.

Job Information

【For Pay Transparency】Compensation Description (Annually)

The base salary range for this position in the selected city is $156000 - $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

Apply Now

Refine Your Search

full time mxnet jobs

Machine Learning Engineer, Commerce Ads

AI Machine Learning Engineer

AI Machine Learning Engineer Staff

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Senior Applied Scientist, Ad Measurements Science

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Oliver Wyman - Sr. Lead Data Scientist or Principal Data Scientist

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Sr Applied Scientist III, Supply Chain Optimization Technologies - SCAIL

Senior Applied Scientist, FinTelligence

Applied Science Manager - Match & Affordances, Amazon Robotics

Senior Applied Scientist - SLAM and Perception, Amazon Robotics

Applied Scientist III, Amazon - Ads Nova

Sr. Applied Scientist, Selling Partner Communities (SPC)

Software - Optical Imaging Engineer, Advanced Manufacturing Engineering (AME)

Machine Learning Architect - Not an Active Opening, Building Talent Pipeline

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