Category User Growth Project Intern (TikTok Shop - US Operation) - 2026 Start (BS/MS)
Los Angeles, California, United States
OnsiteInternship
TikTok: Global short-form video hosting and social media platform.
Currently pursuing a Bachelors or Masters in a quantitative field; strong analytical/problem-solving skills; proficiency in SQL and Python (Pandas, NumPy); ability to work independently and communicate insights.
Santa Monica or Los Angeles or San Francisco or Palo Alto or New York City
$178k-$313k/yrOnsiteFull Time
SnapNYSE: SNAP: Develops social media applications and augmented reality technology.
5+ YOE5+ years post-Bachelor's ML experience with expertise in causal inference, experimentation, uplift modeling, and productionizing models; proficient in Python, pandas, NumPy, scikit-learn; strong communication and mentorship skills.
Centerfield: Drives customer acquisition through performance marketing and digital brands.
Currently pursuing a quantitative degree; strong Python and SQL skills; experience with pandas, NumPy, scikit-learn; working knowledge of ML and statistics; interest in LLM/GenAI; strong communication and self-starter mindset.
Areté: Develops advanced sensing and signal processing solutions for national security.
College degree in a scientific discipline or CS with focus on scientific computing; strong Python (numpy, scipy, pandas) and C/C++ skills; ability to obtain TS/SCI clearance; excellent communication and algorithm assessment skills.
ExponentNASDAQ: EXPO: Provides multidisciplinary scientific and engineering consulting for complex problems.
3+ YOEPhD in CS or related field; 3+ years Python (NumPy, Pandas, SciPy); strong data engineering, cloud, and DB skills; experience with PySpark/ R/ MATLAB/ Java; production-grade software; excellent communication; independent and collaborative work
Python, NumPy, Pandas, SciPy, PySpark, R, MATLAB, Java, Power BI
7+ YOE7+ years navigation/estimation experience, designed and flown an EKF, deep inertial/GNSS expertise, flight-grade C/C++ or Rust and Python (NumPy/SciPy), hardware-in-the-loop and sensor characterization experience, U.S. Person, on-site Los Angeles with monthly weekend travel.
Antares: Designing and manufacturing microreactors for defense and space missions.
4+ YOEBachelor's in a related technical field, 4+ years developing engineering/test/R&D software, strong Python and C++, experience with hardware integration, DAQ, test automation, and data workflows.
StudyFetch: AI-powered platform providing interactive study tools for students.
5+ YOEPhD or equivalent with 5+ years applying quantitative methods to products, experience evaluating LLMs, experimental design, causal inference, strong communication and analytics skills.
AmgenNASDAQ: AMGN: Develops and manufactures biotechnology medicines for serious diseases.
Advanced degree or equivalent experience in data science/analytics fields; expertise in AI/ML, statistical modeling, data architecture, data visualization, and finance/workforce analytics; executive communication and independent leadership.
Boston ScientificNYSE: BSX: Manufacturer of interventional medical devices and technologies.
8+ YOEBachelor's degree in CS/Software Engineering, 8+ years Android mobile development (≥2 years medical device apps), 3+ years AWS experience, expertise with Kotlin/Java/Android Jetpack, BLE and secure protocols, knowledge of medical device software standards.
Kotlin, Kotlin Multiplatform, Java, Android Jetpack, MVVM, Rx, XML data binding, Bluetooth Low Energy (BLE), AWS KMS, AWS S3, AWS DynamoDB, AWS Cognito, API Gateway, AWS EC2, AWS CloudWatch, Jenkins, Git, SonarQube, Atlassian Agile tools, TensorFlow, Pandas, NumPy, R, HTTPS, OAuth
5+ YOE5+ years post-Bachelor's ML experience (or Master's/PhD with reduced experience), strong causal inference and experimentation experience, proficiency in Python and ML libraries, production ML experience, strong communication and mentorship skills.
NetflixNASDAQ: NFLX: Global video streaming and media production service.
4+ YOE4+ years in ML production/VFX/technical production; hands-on GPU inference for image/video/audio; Python and Linux command-line experience; strong debugging, deep learning inference knowledge, and video format familiarity.
NetflixNASDAQ: NFLX: Provider of global streaming entertainment and video content.
4+ YOE4+ years running GPU-based ML inference or related technical production; hands-on Python/Linux/GPU experience; debugging production runs; knowledge of deep learning inference and video/image formats; strong communication and collaboration skills.
CHAOS Industries: Develops advanced radar and sensing systems for modern defense.
7+ YOEBachelor's degree (or equivalent) in a quantitative field, 7+ years applying advanced statistical and data-science methods, Python expertise with scientific/ML libraries, experimental design, uncertainty quantification, scalable pipelines, and eligibility for Top Secret/SCI clearance.
MarvellNASDAQ: MRVL: Designs and develops high-performance semiconductor and infrastructure solutions.
8+ YOEPh.D. or Master’s in EE/Physics/Photonics, 8+ years in silicon photonics design/characterization/production testing, expertise in integrated optics, automation with Python/LabVIEW/C++, and statistical data analysis.