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

Samba

AI Product Engineer

San Francisco, CA

$150K - $200K/yr

Experience building and configuring MCP (Model Context Protocol) servers * Open-source ... These tools assist our recruitment team but do not replace human judgment. Final hiring decisions ...

Clera

Founding Product Engineer

San Francisco, CA · On-site

$200K - $250K/yr

Ensure product features are drivable by LLM agents via MCP/FastMCP servers and conversational ... Extend and maintain a typed pricing ontology (Pydantic models for SKUs, propositions, personas ...

Clera

Founding Product Engineer

San Francisco, CA · On-site

$200K - $250K/yr

Ensure product features are drivable by LLM agents via MCP/FastMCP servers and conversational ... Extend and maintain a typed pricing ontology (Pydantic models for SKUs, propositions, personas ...

SK hynix America

Systems Administrator

San Jose, CA · On-site

San Jose, CA Job Type: Full-Time Work Model: Onsite Requirement: Bilingual Proficiency in English ... Administer Windows Server and Linux operating systems, including day-to-day operations for Active ...

SK hynix America

Systems Administrator

San Jose, CA · On-site

San Jose, CA Job Type: Full-Time Work Model: Onsite Requirement: Bilingual Proficiency in English ... Administer Windows Server and Linux operating systems, including day-to-day operations for Active ...

ERM

Data Specialist (Field Based)

Walnut Creek, CA · On-site

Responsibilities : • Assist in the development and maintenance of enterprise data models ... g., SQL Server, PostgreSQL). • Foundational knowledge of ETL/ELT concepts and experience ...

Danaher

Senior Staff GenAI Engineer

Sunnyvale, CA · On-site

$200K - $235K/yr

Design, build, and fine-tune GenAI models and services capable of integrating with diverse data ... Proficiency in Python and modern ML frameworks, experience with agent-assistant coding frameworks ...

ERM

Data Specialist (Field Based)

San Francisco, CA · On-site

Responsibilities : • Assist in the development and maintenance of enterprise data models ... g., SQL Server, PostgreSQL). • Foundational knowledge of ETL/ELT concepts and experience ...

Samba

AI Product Engineer

San Francisco, CA

$150K - $200K/yr

Experience building and configuring MCP (Model Context Protocol) servers * Open-source ... These tools assist our recruitment team but do not replace human judgment. Final hiring decisions ...

Fairygodboss

Lead Software Engineer

San Francisco, CA · On-site

$140 - $200/hr

Develop assistant skills/tool functions with clear interfaces, schemas, validation, error handling, and observability. * Stand up and operate MCP (Model Context Protocol) servers/integrations and ...

J.P. Morgan

Lead Software Engineer

San Francisco, CA · On-site

Develop assistant skills/tool functions with clear interfaces, schemas, validation, error handling, and observability. * Stand up and operate MCP (Model Context Protocol) servers/integrations and ...

Supermicro

Data Analyst

San Jose, CA · On-site

$90K - $110K/yr

Prepare and deliver monthly reports to support forecasting and business review processes. * Assist ... SQL Server proficiency and Data modeling - including complex queries, joins, CTEs, window functions ...

SUPERMICRO COMPUTER INC

Data Analyst

San Jose, CA · On-site

$90K - $110K/yr

Prepare and deliver monthly reports to support forecasting and business review processes. * Assist ... SQL Server proficiency and Data modeling - including complex queries, joins, CTEs, window functions ...

Super Micro Computer

Data Analyst

San Jose, CA · On-site

$90K - $110K/yr

Prepare and deliver monthly reports to support forecasting and business review processes. * Assist ... SQL Server proficiency and Data modeling - including complex queries, joins, CTEs, window functions ...

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Showing results 41-60

All JobsModel Server JobsModel Server Assistant JobsModel Server Assistant Jobs in San Ramon, CA

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 Aug 18, 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:

Model Server Assistant jobs near you

AI Product Engineer

Samba

San Francisco, CA

$150K - $200K/yr

Full-time

Re-posted 4 days ago

Job description

Samba is a media intelligence company. We know what the world is watching, reading, and thinking about — in real time, at scale, across every screen. Our data exists with the consent of over a billion people, organized into the most complete picture of consumer attention ever built. The biggest brands in the world use that picture to make smarter decisions. We think it’s the most interesting data asset on the planet, because it’s the most culturally relevant. 
WHAT YOU'LL DO

  • Build and deploy AI agents using modern agent SDKs (Claude, OpenAI, or similar) with custom tools and function calling

  • Design and build tool harnesses and execution environments for agents—both on desktop (local CLI, IDE integrations) and in the cloud (containerized, API-driven)

  • Partner with internal teams across the organization to understand their workflows, identify automation opportunities, and build agents tailored to their use cases

  • Think critically about LLM capabilities and limitations—understand the differences between models, when to use which, and how to get the best results from each

  • Develop context engineering strategies—understanding how to give LLMs the right information at the right time within token limits

  • Build and maintain custom tool libraries that agents can use to interact with internal systems, APIs, and data sources

  • Deploy and manage agents in cloud environments with proper monitoring, error handling, and cost controls

  • Optimize LLM costs and performance through prompt engineering, caching, and smart model selection

WHO YOU ARE
  • You’ve built AI agents and shipped them to production—not just prototypes

  • You’ve deployed agents in cloud environments and dealt with the real-world challenges that come with it

  • You’ve built tools, harnesses, or scaffolding that agents use to accomplish tasks

  • You use Claude Code and Cursor daily—you’re deeply comfortable with AI-assisted development, including headless mode, multi-file editing, and MCP server integration

  • You think critically about LLMs—you understand how they work under the hood, not just how to call an API
  • You understand the differences between models (Claude, GPT, Gemini, open-source) and can reason about which to use for a given task
  • You have strong product sense—you focus on what users actually need, not just what’s technically interesting
  • You’re pragmatic—you ship 80% solutions quickly and iterate based on feedback
  • You can sit with a non-technical team, understand their pain points, and translate that into an agent that actually helps
  • You take ownership and drive things from idea to measurable impact
  • You communicate clearly—you can explain complex AI systems to anyone in the company
  • You stay current with the rapidly evolving AI landscape and bring new ideas to the team
  • You’re comfortable working across cloud platforms (GCP, AWS, Azure) and containerized environments
  • Experience with advanced agent patterns or multi-agent systems
  • Experience building and configuring MCP (Model Context Protocol) servers
  • Open-source contributions to AI/ML projects
  • Familiarity with observability tools for LLM applications
  • Media, ad tech, or streaming data domain knowledge
Samba is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees.  We strive to empower connection with one another, reflect the communities we serve, and tackle meaningful projects that make a real impact.
 
Samba may collect personal information directly from you, as a job applicant, Samba may also receive personal information from third parties, for example, in connection with a background, employment or reference check, in accordance with the applicable law. For further details, please see Samba's Applicant Privacy Policy. For residents of the EU , Samba Inc. is the data controller.

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.