Staff Machine Learning Engineer, Personalization
Coupang · Mountain View, USA
Posted about 3 months ago
or apply directly on Coupang's site. We never take the application ourselves.
Is this posting real?
- This role has been open
- 80 days Coupang's roles stay open a median of 80 days
- Reposted
- No
- Salary listed
- No 1% of Coupang's roles list one
- Ghost-job risk at Coupang
- high 683 stale, 14 reposted of 717 open
- Hiring momentum
- 1065 roles opened in the last 90 days ↑ up vs. the prior 90 days
- Last confirmed on the employer's board
- 2026-10-22
Measured from postings appearing on and disappearing from Coupang's own greenhouse board since 2026-08-03. Full hiring picture for Coupang.
About this role
The Staff Machine Learning Engineer for Personalization at Coupang will focus on building scalable machine learning platforms to enhance search ranking and recommendation systems. Responsibilities include designing and implementing large-scale ML systems, optimizing ML pipelines, and collaborating with cross-functional teams to align technical solutions with business goals. The role also involves mentoring engineering talent and driving innovation in search relevance and user intent modeling.
- benefits
- 5/5
- freshness
- 1/5
- career value
- 4/5
- role clarity
- 4/5
- pay transparency
- 0/5
Scored from the posting itself — how clearly the role is described, how much it says about pay and benefits, and how recently it was listed. Not a judgement of Coupang as an employer.
What you need
- Bachelor's degree in computer science, electrical engineering, mathematics, statistics or closely related fields
- 4+ 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
Nice to have
- Master’s or PhD in relevant technical fields
- Experience with search systems, information retrieval or recommendation engines
- Experience with LLMs, embeddings, and vector search technologies
- Experience with cloud platforms such as AWS, Google Cloud Platform including services like Vertex AI, BigQuery or SageMaker
- Experience working in startup or high-growth environments
What you get
- Annual bonus is 0-20% of the base salary
- Medical/Dental/Vision/Life, AD&D insurance
- Flexible Spending Accounts (FSA) & Health Savings Account (HSA)
- Long-term/Short-term Disability
- Employee Assistance Program (EAP) program
- 401K Plan with Company Match
Worth weighing
- No specific mention of the tech stack beyond ML frameworks and tools, which may imply reliance on established technologies rather than cutting-edge innovations.
- The role is positioned in a fast-paced environment which may lead to ambiguity and require strong problem-solving skills.
- The recruitment process may vary, and the job posting may close early if all openings are filled.
Summarised from Coupang's posting. Read the full original.
Listed by Coupang on their greenhouse job board, last confirmed open on 2026-10-22. PitchMeAI is not the employer.
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