Senior Staff ML Infra Engineer – Search & Discovery

Coupang; Mountain View (CA); On-site; USD 174,000 - 299,000; Full time

Benefits offered by this job

Flexible Spending Accounts (FSA)

Health Savings Account (HSA)

401K Plan with Company Match

Paid Time Off (PTO)

Job summary

Coupang in Mountain View, California is seeking a Senior Staff Software Engineer for their Search & Discovery team. The role involves designing and implementing durable software solutions for managing structured and unstructured data for ML model training. Candidates should have a bachelor's degree and 8 years of professional experience in applied machine learning, along with proficiency in Python or Java. The position offers a competitive salary range and various benefits, including a 401K plan and paid time off.

Qualifications

• 8 years of professional experience in applied machine learning.
• Experience in machine learning, deep learning, and statistical modeling.
• Proficiency in Python and/or Java, with experience in building production grade ML systems.

Responsibilities

• Drive the execution of end-to-end data platform for ML efforts.
• Optimize the core data logging and ML model training pipelines.
• Develop scalable data infrastructure for batch and real-time processing.

Skills

Machine learning

Data analysis

Python

Java

Education

Bachelor's degree in computer science or related field

Tools

Tensorflow

Pytorch

Hadoop

Spark

Job description

Role Overview

As our Senior Staff Software Engineer, ML infra Engineer for Search & Discovery organization, you will be in charge of designing and implementing durable & efficient software solutions that handle massive volume of structured and unstructured data needed to train complex ML models and efficiently serve them online.

What You Will Do

• Proactively drive the execution of end-to-end data platform, data quality roadmap for Search & Discovery ML efforts
• Take ownership, consolidate and optimize the Search & Discovery core data logging, processing, and ML model training pipelines
• Develop and scale data infrastructure that powers batch and real-time data processing, monitoring, and debugging for ML experiments
• Drive design and implementation of scalable ML based ranking system and online ML inference services
• Build strong cross‑functional partnerships with Data Scientists, Analysts, Product Managers, Indexing Platform Engineers, Ranking Engineers and Data Platform Engineers to understand both the offline and online needs and deliver on those needs
• Research, analyze and select technical approaches for solving difficult and challenging development and integration problems, coach and mentor other engineers in process and methodologies

Basic Qualifications

• Bachelor's degree in computer science, electrical engineering, mathematics, statistics or closely related fields
• 8 years of professional experience in applied machine learning
• Experience in machine learning, deep learning, and statistical modeling
• Proficiency in Python and/or Java, with experience in building production grade ML systems

Preferred Qualifications

• Computer science fundamentals: data structures, algorithms, performance complexity, and implications of computer architecture on software performance (e.g., I/O and memory tuning)
• Experience with Big Data tools and ETL frameworks (Hadoop, Hive, Presto, Spark, Scala, Apache Airflow, etc.)
• Experience with ML frameworks such as Tensorflow and Pytorch
• Experience with deploying highly robust and scalable data pipelines processing petabytes of data
• Experience in managing mission critical services with high throughput and low latency
• Experience with integrating applications and platforms with cloud technologies (i.e., AWS and GCP)
• Strong verbal and written communication skills
• Ability to conduct meetings and make professional presentations, and explain complex concepts and technical material to non‑technical users
• Experience with machine learning platform for search & discovery related rankings is a strong plus

Compensation

The base pay for this position ranges from $174,000K/year to $299,000K/year. Pay is based on several factors including market location and may vary depending on job‑related knowledge, skills, and experience.

Benefits

• Flexible Spending Accounts (FSA) & Health Savings Account (HSA)
• Long‑term/Short‑term Disability
• Employee Assistance Program (EAP) program
• 401K Plan with Company Match
• 18-21 days of Paid Time Off (PTO) a year based on the tenure
• 12 Public Holidays
• Paid Parental leave
• MTV – Free Electric Car Charging Station

Additional Compensation

Other Compensation includes, but is not limited to, bonuses, equity, or other forms of compensation that would be offered to the hired applicant in addition to their established salary range or wage scale.

Equal Opportunity Employer

Coupang is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to actual or perceived race (including traits historically associated with race, including but not limited to hair texture and protective hair styles), color, religion, religious creed (including religious dress and grooming practices), sex or gender (including pregnancy, childbirth, breastfeeding, and medical conditions related to pregnancy, childbirth or breastfeeding), gender identity, gender expression, sexual orientation, ancestry, national origin (including language use restrictions), age (40 and over), physical or mental disability, medical condition, genetic information, HIV/AIDS or Hepatitis C status, family status (including but not limited to marital or domestic partnership status), military or veteran status, use of a trained dog guide or service animal, political activities or affiliations, ancestry, citizenship, family and medical leave status, status as a victim of any violent crime, or any other characteristic or class protected by the laws or regulations in the locations where we operate. Coupang is also committed to providing a safe work environment for its employees and its consumers.

If you need assistance and/or a reasonable accommodation in the application of recruiting process due to a disability, please contact us at [e-mail].