Senior ML Engineer Jobs in Mountain View, CA
Senior ML Engineer jobs in Mountain View are concentrated in the North Bayshore and Middlefield Road corridors, with additional demand in the Castro Street and San Antonio areas, across AI infrastructure, autonomous systems, and consumer tech. ServiceNow, Google, and Nuro are among the employers actively hiring. Find a role that fits below and apply directly.
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We exist to wow our customers. We know we're doing the right thing when we hear our customers say, "How did we ever live without Coupang?" Born out of an obsession to make shopping, eating, and living easier than ever, we're collectively disrupting the multi-billion dollar e-commerce industry from the ground up. We are one of the fastest-growing e-commerce companies that established an unparalleled reputation for being a dominant and reliable force in South Korean commerce.
We are proud to have the best of both worlds — a startup culture with the resources of a large global public company. This fuels us to continue our growth and launch new services at the speed we have been since our inception. We are all entrepreneurs surrounded by opportunities to drive new initiatives and innovations. At our core, we are bold and ambitious people that like to get our hands dirty and make a hands-on impact. At Coupang, you will see yourself, your colleagues, your team, and the company grow every day.
Our mission to build the future of commerce is real. We push the boundaries of what's possible to solve problems and break traditional tradeoffs. Join Coupang now to create an epic experience in this always-on, high-tech, and hyper-connected world.
Role Overview
What You Will do
- Design features and build large-scale machine learning models and systems to improve relevance, ranking, personalization and engagement
- Design and implement large-scale ML systems for search ranking, semantic retrieval, query understanding, and personalized product discovery using state-of-the-art techniques such as transformer-based models, contrastive learning, and vector search
- Drive innovation in search relevance and user intent modeling using large language models (LLMs), embedding-based retrieval, and multi-modal learning
- Build and optimize ML pipelines using tools such as Apache Spark, Airflow, Kubeflow, and MLflow, ensuring reproducibility, scalability, and operational excellence
- Define and track key performance metrics to evaluate model impact and identify high[1]leverage opportunities for improvement
- Collaborate cross-functionally with product, engineering, and data science teams to align technical solutions with business goals and customer experience
- Mentor and grow engineering talent, fostering a culture of technical excellence, experimentation and continuous learning
Basic Qualifications
- 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
Preferred Qualifications
- 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
- Proven ability to lead-cross-functional teams and deliver results in a multicultural, global organization
- Hands-on experience with modern ML frameworks such as TensorFlow, PyTorch, Scikit[1]learn, Keras, XGBoost, LightGMB, and H2o.ai
- Experience with ML lifecycle tools such as MLflow, Kubeflow, Weights & Biases, or Amazon SageMaker
- Excellent communication skills with the ability to explain complex technical concepts to both technical and non-technical stakeholders
- Demonstrated ability to work independently and manage ambiguity in fast-paced environments
Pay & Benefits
Our compensation reflects the cost of living across several US geographic markets. At Coupang, your base pay is one part of your total compensation.
The base pay for Staff position ranges from $152K/year to $277K/year. Pay is based on several factors including market location and may vary depending on job-related knowledge, skills, and experience.
General Description of All Benefits
- 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
- 18-21 days of the Paid Time Off (PTO) a year based on the tenure
- 12 Public Holidays
- 6 weeks Paid Parental leave
- Pre-tax commuter benefits
- MTV - [Free] Electric Car Charging Station
General Description of Other 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.
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.
Recruitment Process
- Application Review - Phone Interview - Onsite (or Virtual Onsite) Interview – Offer
- The exact nature of the recruitment process may vary according to the specific job and may be changed due to scheduling or other circumstances.
- Interview schedules and the results will be informed to the applicant via the e-mail address submitted at the application stage.
Details to Consider
- This job posting may be closed prior to the stated end date for application if all openings are filled.
- Coupang has the right to rescind an offer of employment if a candidate is found to have submitted false information as part of the application process.
- Those eligible for employment protection (recipients of veteran's benefits, the disabled, etc.) may receive preferential treatment for employment in accordance with applicable laws.
Privacy Notice Your personal information will be collected and managed by Coupang as stated in the Application Privacy Notice located below: https://www.coupang.jobs/privacy-policy/
If you need assistance and/or a reasonable accommodation in the application of recruiting process due to a disability, please contact us at usrecruiting@coupang.com.
Job Req: R0079629
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Find Senior ML Engineer JobsSenior ML Engineer Job Market in Mountain View
Who's Hiring
- ServiceNow174

- Google107

- Nuro94

- Unity Technologies67

- Coupang53

Top Industries Hiring
- Technology & Software147
- Electronics & Hardware80
- Automotive53
- Banking & Financial Services53
- Artificial Intelligence40
Senior ML Engineer Jobs in Mountain View: Frequently Asked Questions
How do I get a senior ml engineer job in Mountain View?
The strongest path into Mountain View's senior ml engineer market is demonstrating hands-on experience with large-scale model training, deployment infrastructure, or applied research. North Bayshore and the Middlefield corridor house the heaviest concentration of AI and autonomous systems teams, so candidates with production ML systems experience and familiarity with distributed computing frameworks stand out most with the tech-forward employers that dominate this market.
Which companies hire senior ml engineers in Mountain View?
Employers hiring senior ml engineers in Mountain View right now include ServiceNow, Google, and Nuro, based on current listings on Migrate Mate as of September 2026. Mountain View's employer mix skews heavily toward established technology platforms and well-funded AI-focused startups, many headquartered along the 101 corridor between North Bayshore and the San Antonio district.
Are there remote senior ml engineer jobs in Mountain View?
Yes, though senior ml engineer roles tied to hardware, robotics, or on-site compute clusters tend to require in-person presence. About 43% of senior ml engineer openings tied to Mountain View are remote or hybrid as of September 2026, with the most flexibility found in roles focused on model evaluation, research, and MLOps that don't depend on physical lab access.
How can I get a senior ml engineer job in Mountain View with little or no experience?
The most realistic entry path locally is through a machine learning engineer or ML research engineer role at one of Mountain View's many mid-stage AI startups, which tend to have smaller teams and broader early-career scope than the larger platforms. Building a portfolio of deployed models, contributing to open-source ML tooling, and targeting applied-science internship pipelines at North Bayshore-based companies gives candidates the clearest route toward a senior track.
Which industries hire the most senior ml engineers in Mountain View?
The sectors hiring the most senior ml engineers in Mountain View are Technology & Software, Electronics & Hardware, and Automotive, based on current listings on Migrate Mate as of September 2026. Mountain View's position as a long-standing hub for search, advertising technology, and autonomous systems means demand in these sectors is structural rather than cyclical, sustaining consistent openings across seniority levels.
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See All 896+ Senior ML Engineer Jobs in Mountain View
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