Simplify Logo

Full-Time

Sr. Staff Machine Learning Engineer

ML Platform

Confirmed live in the last 24 hours

Coupang

Coupang

5,001-10,000 employees

E-commerce platform with rapid delivery services

Consumer Software
Consumer Goods

Compensation Overview

$159k - $324kAnnually

+ Bonus + Equity

Senior, Expert

Seattle, WA, USA

Category
Applied Machine Learning
Deep Learning
Natural Language Processing (NLP)
AI & Machine Learning
Required Skills
Kubernetes
Airflow
Tensorflow
Pytorch
Apache Spark
SQL
Natural Language Processing (NLP)
Computer Vision
Data Analysis
Requirements
  • BS, MS, or PhD degree in Computer Science or related field.
  • 10+ years of relevant experience in technology companies or organizations.
  • 5+ years of experience in Data Infrastructure, AI/ML.
  • Industry experience building end-to-end Machine Learning Platform infrastructure or building and productionizing Machine Learning models.
  • Proficient in cloud computing and data processing infrastructure and tools: Kubernetes, Airflow (or equivalent), Spark, Hive, SQL.
  • Proficient in some of the ML training and deployment frameworks like: Tensorflow, PyTorch, TensorRT, Triton backend etc.
  • Deep understanding of Machine Learning best practices like training/serving skew minimization, A/B test, feature engineering, model selection. Working knowledge on ML algorithms like gradient boosted trees, neural networks/deep learning, optimization. And domains like NLP, computer vision etc.
  • Good understanding of features that help Platform to keep up with the latest advancement of generative AI and large language models.
  • Strong ownership and ability to lead project end to end; Good communicator, both to technical and business audiences.
  • Ability to work in multicultural, cross functional team, and to deal with ambiguity in business and technology.
Responsibilities
  • You will be part of the ML Platform group under Data Platform Org, which enables ML teams across the company to iterate their projects faster from data/feature engineering, labeling, training, online and offline serving of the models.
  • You will partner closely with cross-functional ML teams to help further adopt and apply our centralized platform wherever applicable, work on feedback, and iterate our products to be more user-friendly and scalable.
  • You will work with Engineers leveraging third-party or open source, to build in-house Machine Learning tools & infrastructure - which will help develop reusable, high-performing Machine Learning systems, and enable fast model development, low-latency serving, and ease of model quality maintenance.
  • You'll have the opportunity to build a large-scale heterogeneous system integrating with GPU/Storage keep it running stable and reliable and be involved in the decision-making process.

Coupang operates as an e-commerce platform in South Korea, focusing on making shopping, dining, and daily living easier for its users. The platform caters to a wide audience, including individual consumers and small businesses, by providing a large variety of products and services. Coupang's logistics network enables fast delivery, often within hours, enhancing the shopping experience. The company generates revenue through direct sales, commissions from third-party sellers, and subscription services like Rocket WOW, which offers special perks to its members. What sets Coupang apart from its competitors is its strong emphasis on customer satisfaction and its ability to adapt to changing consumer needs. The goal of Coupang is to continue growing rapidly and to transform the traditional commerce landscape.

Company Stage

Series C

Total Funding

$3.4B

Headquarters

Seoul, South Korea

Founded

2010

Growth & Insights
Headcount

6 month growth

10%

1 year growth

25%

2 year growth

35%
Simplify Jobs

Simplify's Take

What believers are saying

  • Significant investments from firms like Capital Wealth Planning LLC and Advanced Portfolio Management LLC indicate strong market confidence in Coupang's growth potential.
  • The addition of experienced executives to the board, such as Asha Sharma, could drive innovative strategies and enhance operational efficiency.
  • Strategic partnerships and acquisitions, such as the Farfetch takeover, could open new revenue streams and market opportunities.

What critics are saying

  • Legal challenges, such as the ongoing dispute with the KFTC, could result in financial penalties and reputational damage.
  • The competitive e-commerce market requires continuous innovation and investment, which could strain resources and impact profitability.

What makes Coupang unique

  • Coupang's aggressive investment strategy and high-profile board appointments, such as Asha Sharma from Microsoft AI, set it apart in the competitive e-commerce landscape.
  • The company's strategic acquisitions, like Farfetch, and partnerships with entities like the U.S. Department of Commerce, highlight its ambition to expand and diversify its market reach.
  • Coupang's willingness to challenge regulatory decisions, as seen in its legal battle with the KFTC, demonstrates a bold approach to maintaining its business practices.

Help us improve and share your feedback! Did you find this helpful?