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Model Server Assistant Jobs in San Ramon, CA (NOW HIRING)

... models for project success with clients • Spearhead consistent review of project delivery ... goals • Assist in the creation of standards (documentation/strategies/process) that become ...

... also assist in the administration of cloud services, Active Directory, and Windows server ... Support infrastructure deployment models, including Private, Public, and Hybrid. * Maintaining a ...

... also assist in the administration of cloud services, Active Directory, and Windows server ... Support infrastructure deployment models, including Private, Public, and Hybrid. * Maintaining a ...

... for model refinement. * Assist with compliance testing and validation for industry-standard ... Experience supporting AI, GPU, server, storage, networking, or data center hardware platforms.

Signal Integrity Engineer

Fremont, CA · On-site

$182K/yr

... for model refinement. * Assist with compliance testing and validation for industry-standard ... Experience supporting AI, GPU, server, storage, networking, or data center hardware platforms.

Data Architect

San Jose, CA · On-site

$74.75 - $96/hr

... assist technical staff in mastering techniques and best practices associated with data modeling ... Microsoft SQL Server, Oracle, or IBM DB2, involving implementation of database schemas, indexes ...

Ensure features are drivable by LLM agents via MCP/FastMCP servers and conversational interfaces ... Extend and maintain a typed pricing ontology using Pydantic models (e.g., SKU, Proposition, Persona ...

Ensure features are drivable by LLM agents via MCP/FastMCP servers and conversational interfaces ... Extend and maintain a typed pricing ontology using Pydantic models (e.g., SKU, Proposition, Persona ...

The role will also assist with developing and benchmarking system performance models, developing ... Create network and server rack face elevations, floor plans, wiring diagrams, and detailed port ...

Showing results 21-40

Model Server Assistant information

See San Ramon, CA salary details

$6

$15

$23

How much do model server assistant jobs pay per hour?

As of Sep 8, 2026, the average hourly pay for model server assistant in San Ramon, CA is $15.00, according to ZipRecruiter salary data. Most workers in this role earn between $10.77 and $16.92 per hour, depending on experience, location, and employer.

What is a model server assistant?

Model Server Assistants are specialized software tools or agents designed to help manage, deploy, and maintain machine learning models on server infrastructure. They facilitate tasks such as model versioning, scaling, monitoring, and providing APIs for real-time inference. By automating these processes, Model Server Assistants make it easier for organizations to integrate machine learning models into production environments and ensure they run efficiently and reliably.

How does a model server assistant typically collaborate with data scientists and engineers on machine learning projects?

As a Model Server Assistant, you will work closely with data scientists to ensure machine learning models are properly deployed, monitored, and maintained in production environments. Your responsibilities often include updating model versions, troubleshooting deployment issues, and optimizing server performance. You’ll also collaborate with engineers to integrate models into existing systems and automate workflows, making strong communication and teamwork skills essential. This cross-functional collaboration not only helps you learn from experienced professionals but also opens up opportunities for growth into more specialized roles in machine learning operations.

What are the key skills and qualifications needed to thrive as a model server assistant, and why are they important?

To thrive as a Model Server Assistant, you need a strong understanding of machine learning models, server deployment, and basic programming skills, usually supported by a degree in computer science or a related field. Familiarity with tools like Docker, TensorFlow Serving, Kubernetes, and cloud platforms is typically required. Attention to detail, effective communication, and problem-solving abilities help set candidates apart in this role. These skills ensure efficient deployment, reliable model performance, and smooth collaboration between data science and engineering teams.

What is the difference between Model Server Assistant vs Model Trainer?

AspectModel Server AssistantModel Trainer
CredentialsTypically requires basic technical certifications or training in AI/ML support rolesOften requires advanced degrees or certifications in machine learning or data science
Work EnvironmentSupports model deployment and server management in data centers or cloud environmentsFocuses on developing and training models in labs or development environments
Employer & IndustryTech companies, AI service providers, cloud platformsResearch institutions, AI startups, tech firms

The Model Server Assistant primarily supports the deployment and maintenance of AI models on servers, ensuring smooth operation. In contrast, the Model Trainer focuses on developing and training models from scratch. While both roles require technical knowledge, the Model Server Assistant emphasizes support and management, whereas the Model Trainer emphasizes development and experimentation.

Do model server assistants make a lot of money?

Model server assistants typically earn entry-level wages that are below average for many jobs, with pay often ranging from minimum wage to moderate hourly rates depending on the employer and location. The role usually involves supporting model shoots or events and may require basic skills or certifications, but it is not generally considered a high-paying position.

What cities near San Ramon, CA are hiring for Model Server Assistant jobs?

Cities near San Ramon, CA with the most Model Server Assistant job openings:

Senior Distinguished I, Product Manager - Agentic Commerce

Fremont, CA • On-site

Walmart
Retail • 10K+ employees

$208K - $416K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 24 days ago


Key responsibilities

  • Own the product vision, roadmap, and execution for AI shopping assistant capabilities that can be integrated into external or partner-enabled agentic experiences.

  • Create scalable product requirements for assistant-driven shopping experiences, including product search, recommendations, basket creation, item modifications, product Q&A, fulfillment context, and checkout handoff.

  • Lead product development for APIs, tools, MCP servers, permissions, and integration patterns that allow Walmart agentic commerce capabilities to work reliably across multiple environments.


Walmart rating

6.0

Company rating: 6.0 out of 10

Based on 22,656 frontline employees who took The Breakroom Quiz

25th of 39 rated national retailers


Job description

Position Summary... What you'll do...Role summary:
This Agentic Infrastructure, Sr Distinguished Product Manager will lead the product strategy and roadmap delivery for Walmart’s AI-powered shopping capabilities available across external and partner-enabled experiences. This role will focus on enabling Walmart’s shopping assistant capabilities to operate beyond traditional owned surfaces, while maintaining a trusted, reliable, and customer-first commerce experience. You will define how Walmart’s AI shopping assistant can support discovery, basket building, product questions, cart actions, checkout readiness, and post-purchase use cases in flexible environments. This is a highly strategic platform role that requires product depth across AI, eCommerce, identity, payments, trust, fraud, partner integrations, and customer experience.
About the team:
The AI Shopping team leads strategic AI initiatives to drive innovation and market growth. It collaborates with external partners including OpenAI and Google, and across internal functions to develop product roadmaps, execute go-to-market strategies, and manage stakeholder relationships effectively.
What you'll do:
  • Own the product vision, roadmap, and execution for AI shopping assistant capabilities that can be integrated into external or partner-enabled agentic experiences.
  • Define the core capabilities required for an agent-to-agent architecture that helps customers discover products, build baskets, refine choices, and move toward purchase in a trusted way.
  • Create scalable product requirements for assistant-driven shopping experiences, including product search, recommendations, basket creation, item modifications, product Q&A, fulfillment context, and checkout handoff.
  • Partner closely with engineering, design, data science, platform, ecommerce, payments, fraud, identity, legal, privacy, security, customer care, and business development teams.
  • Build product guardrails for what AI assistants can do on behalf of customers, including cart changes, purchase readiness, payment, order management, and customer consent.
  • Define user experiences that support both new and returning customers, balancing low-friction entry with personalization, account linking, membership recognition, and trust.
  • Lead product development for APIs, tools, MCP servers, permissions, and integration patterns that allow Walmart agentic commerce capabilities to work reliably across multiple environments.
  • Develop instrumentation to measure adoption, activation, engagement, basket creation, conversion, failure rates, latency, customer satisfaction, and partner performance.
  • Create reusable playbooks and standards so future integrations can launch faster, more safely, and with consistent customer experience quality.
  • Collaborate with partner-facing and platform teams to evaluate integration opportunities, prioritize capabilities, and scale learnings across the broader commerce ecosystem.

What you'll bring:
  • 15+ years of product management experience, with experience in ecommerce, AI products, platform products, partner integrations, marketplace, payments, identity, or consumer technology.
  • Strong understanding of ecommerce customer journeys, including discovery, product detail, cart, checkout, fulfillment, account, and post-purchase experiences.
  • Experience building platform capabilities, APIs, MCP servers, partner integrations, or reusable product infrastructure.
  • Ability to define product requirements for complex systems involving AI models, customer-facing UX, backend services, data flows, security, and operational controls.
  • Strong product judgment around customer trust, safety, privacy, consent, reliability, and risk.
  • Experience leading cross-functional initiatives with engineering, design, analytics, legal, privacy, security, payments, fraud, and business stakeholders.
  • Strong analytical skills and experience defining product metrics, funnel measurement, experimentation plans, and operational dashboards.
  • Excellent communication skills, including the ability to simplify complex technical and strategic topics for executive and cross-functional audiences.
Preferred Qualifications
  • Experience with conversational AI, AI agents, large language models, recommendation systems, search, or personalization.
  • Experience with commerce platforms, embedded experiences, account linking, payments, fraud prevention, or third-party integrations.
  • Experience defining governance models for automated or semi-automated customer actions.
  • Experience launching products in highly regulated or high-trust environments.
  • Experience building zero-to-one products where technical architecture, customer experience, and business model are evolving together.
At Walmart, we offer competitive pay as well as performance-based bonus awards and other great benefits for a happier mind, body, and wallet. Health benefits include medical, vision and dental coverage. Financial benefits include 401(k), stock purchase and company-paid life insurance. Paid time off benefits include PTO (including sick leave), parental leave, family care leave, bereavement, jury duty, and voting. Other benefits include short-term and long-term disability, company discounts, Military Leave Pay, adoption and surrogacy expense reimbursement, and more. You will also receive PTO and/or PPTO that can be used for vacation, sick leave, holidays, or other purposes. The amount you receive depends on your job classification and length of employment. It will meet or exceed the requirements of paid sick leave laws, where applicable. For information about PTO, see https://one.walmart.com/notices. Live Better U is a Walmart-paid education benefit program for full-time and part-time associates in Walmart and Sam's Club facilities. Programs range from high school completion to bachelor's degrees, including English Language Learning and short-form certificates. Tuition, books, and fees are completely paid for by Walmart.
Eligibility requirements apply to some benefits and may depend on your job classification and length of employment. Benefits are subject to change and may be subject to a specific plan or program terms.
For information about benefits and eligibility, see One.Walmart.
Sunnyvale, California US-11656: The annual salary range for this position is $208,000.00 - $416,000.00
Bentonville, Arkansas US-30008: The annual salary range for this position is $160,000.00 - $320,000.00 Additional compensation includes annual or quarterly performance bonuses. Additional compensation for certain positions may also include :
- Stock

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Minimum Qualifications...

Outlined below are the required minimum qualifications for this position. If none are listed, there are no minimum qualifications.

Option 1: Bachelor’s degree in computer science, engineering, or related area and 13 years’ experience in product management. Option 2: 15 years’ experience in product management or related area. Preferred Qualifications...

Outlined below are the optional preferred qualifications for this position. If none are listed, there are no preferred qualifications.

Master’s degree in Computer Science, Engineering, Business Administration, or related area and 12 years’ experience as a product manager, ideally working on consumer-facing, large-scale, highly complex B2B/C products, Supervisory experience, We value candidates with a background in creating inclusive digital experiences, demonstrating knowledge in implementing Web Content Accessibility Guidelines (WCAG) 2.2 AA standards, assistive technologies, and integrating digital accessibility seamlessly. The ideal candidate would have knowledge of accessibility best practices and join us as we continue to create accessible products and services following Walmart’s accessibility standards and guidelines for supporting an inclusive culture. Primary Location... 1375 Crossman Ave, Sunnyvale, CA 94089-1114, United States of America Walmart and its subsidiaries are committed to maintaining a drug-free workplace and has a no tolerance policy regarding the use of illegal drugs and alcohol on the job. This policy applies to all employees and aims to create a safe and productive work environment.

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About Walmart

Sourced by ZipRecruiter

From our humble beginnings as a small discount retailer in Rogers, Ark., Walmart has opened thousands of stores in the U.S. and expanded internationally. Through innovation, we're creating a seamless experience to let customers shop anytime and anywhere online and in stores. We are creating opportunities and bringing value to customers and communities around the globe. Walmart operates approximately 10,500 stores and clubs in 19 countries and eCommerce websites. We employ 2.1 million associates around the world — nearly 1.6 million in the U.S. alone.

Industry

Retail and transportation and warehousing

Company size

10,000+ Employees

Headquarters location

Bentonville, AR, US

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