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Executive Full Stack Machine Learning Engineer Jobs in California

SBT Global, Inc.

AI Full Stack Developer

San Jose, CA

$13K/mo

As a Full-stack AI Developer, will bridge the gap between AI research and production-ready ... Implement machine learning models (using frameworks like PyTorch, TensorFlow, or scikit-learn) into ...

Nace AI

Machine Learning Engineer

Palo Alto, CA · On-site

As a Machine Learning Engineer, you will play a central role in translating cutting-edge machine ... Familiarity with data processing stacks such as Spark and Airflow. * Experience with multi-node GPU ...

cyberThink, Inc.

AI Full Stack Developer

San Jose, CA · On-site

As a Full-stack AI Developer, will bridge the gap between AI research and production-ready ... Implement machine learning models (using frameworks like PyTorch, TensorFlow, or scikit-learn) into ...

PhysicsX

Machine Learning Engineer

San Francisco, CA · On-site

We are building an AI-driven simulation software stack for engineering and manufacturing across ... Enhanced parental leave - 3 months full pay paternity and 6 months full pay maternity leave, to ...

TEKsystems

Machine Learning Engineer

San Diego, CA · Hybrid

$70 - $95/hr

We are seeking an MLOps Engineer to build, deploy, and optimize machine learning infrastructure ... As an industry leader in Full-Stack Technology Services, Talent Services, and real-world ...

Walmart

Staff, Machine Learning Engineer

Sunnyvale, CA

$130K - $260K/yr

We are looking for a strong Staff Machine Learning Engineer who has the passion to develop AI ... Design, Develop and deploy Full stack based applications. * Develop and deploy production-grade ...

Marlabs LLC

AI Full Stack Developer

San Jose, CA · On-site

AI Full Stack Developer Location: San Jose, CA - Onsite 3 days a week Duration: Fulltime JOB ... Implement machine learning models (using frameworks like , , or ) into web and mobile applications.

David AI

Full Stack Engineer

San Francisco, CA · On-site

$170K - $240K/yr

We're a tight-knit team of product engineers, infrastructure specialists, and machine learning ... About this role As a Full Stack Engineer at David AI, you'll build cutting-edge tools that help our ...

Poesis

Machine Learning Engineer

San Francisco, CA · On-site

$200K - $280K/yr

You'll work across the full machine learning lifecycle, from experimentation and model and agent ... Learning Engineer, or related role * Prior experience at a frontier AI lab, agentic startup ...

David AI

Full Stack Engineer

San Francisco, CA · On-site

We're a tight-knit team of product engineers, infrastructure specialists, and machine learning ... About this role As a Full Stack Engineer at David AI, you'll build cutting-edge tools that help our ...

Adobe, Inc.

Machine Learning Engineer

San Jose, CA · On-site

The Opportunity Adobe is looking for a Machine Learning Engineer who will apply AI and machine ... Experience with the full ML lifecycle: feature engineering, model training, evaluation, deployment ...

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Executive Full Stack Machine Learning Engineer information

Will AI replace full-stack dev?

As an Executive Full Stack Machine Learning Engineer, it is unlikely that AI will fully replace full-stack developers, as their roles require complex problem-solving, creativity, and understanding of business needs that AI cannot replicate. AI tools can automate certain coding tasks and improve efficiency, but human oversight and expertise remain essential for designing, integrating, and maintaining full-stack applications. The evolving landscape emphasizes collaboration between AI and developers rather than replacement.

What engineer makes $500,000 a year?

An executive full stack machine learning engineer can earn $500,000 or more annually, especially with extensive experience, advanced skills in AI and software development, and working at large tech companies or startups with competitive compensation packages. High salaries often include base pay, bonuses, and stock options, reflecting seniority and expertise in the field.

Will MLE be replaced by AI?

An Executive Full Stack Machine Learning Engineer designs and implements AI systems, but AI is a tool that complements rather than replaces such roles. While automation and AI advancements can handle certain tasks, skilled engineers are needed for developing, maintaining, and improving complex machine learning solutions. Continuous learning and expertise in programming, data analysis, and model deployment remain essential in this field.

What is the salary of full-stack machine learning engineer?

The salary of a full-stack machine learning engineer typically ranges from $100,000 to $150,000 annually, depending on experience, location, and company size. Senior roles or those requiring specialized skills in deep learning or cloud platforms may offer higher compensation.

What is the difference between Executive Full Stack Machine Learning Engineer vs Data Scientist?

AspectExecutive Full Stack Machine Learning EngineerData Scientist
CredentialsBachelor's/Master's in CS, Engineering, or related; often requires experience in ML and full stack developmentBachelor's/Master's in Data Science, Statistics, or related; strong analytical and statistical skills
Work EnvironmentDevelops end-to-end ML solutions, integrates backend and frontend, collaborates with engineering teamsAnalyzes data, builds models, visualizes insights, often in research or analytics teams
Industry UsageUsed in tech companies, startups, and enterprises deploying ML productsCommon in research institutions, analytics firms, and data-driven organizations

The Executive Full Stack Machine Learning Engineer focuses on building and deploying complete ML solutions, combining software engineering and data science skills. In contrast, Data Scientists primarily analyze data and develop models without necessarily handling full stack development. Both roles require strong technical credentials but differ in scope and daily tasks.

What are the most commonly searched types of Full Stack Machine Learning Engineer jobs in California? The most popular types of Full Stack Machine Learning Engineer jobs in California are:
What are popular job titles related to Executive Full Stack Machine Learning Engineer jobs in California? For Executive Full Stack Machine Learning Engineer jobs in California, the most frequently searched job titles are:
What job categories do people searching Executive Full Stack Machine Learning Engineer jobs in California look for? The top searched job categories for Executive Full Stack Machine Learning Engineer jobs in California are:
What cities in California are hiring for Executive Full Stack Machine Learning Engineer jobs? Cities in California with the most Executive Full Stack Machine Learning Engineer job openings:
Executive Full Stack Machine Learning Engineer jobs near you

AI Full Stack Developer

SBT Global, Inc.

San Jose, CA

$13K/mo

Contractor

Posted 9 days ago

Job description

Company Description

1 Yr Contract

Onsite

Mid- Level Pay Rate: ~$13,975/mo DOE

We are looking for a highly motivated AI Full Stack Developer to join our team to build, deploy, and maintain end-to-end applications that leverage generative AI models and agentic architectures. As a Full-stack AI Developer, will bridge the gap between AI research and production-ready applications, working across the entire stack from frontend interfaces to backend logic and machine learning models. Will be responsible for building, testing, and scaling AI-driven products.

Job Description
  • AI Application Development: Develop and maintain end-to-end AI applications, from user interfaces to backend logic, focusing on AI-powered features.
  • ML Model Integration: Implement machine learning models (using frameworks like PyTorch, TensorFlow, or scikit-learn) into web and mobile applications.
  • Backend & API Engineering: Build and maintain scalable backend services and RESTful APIs, often integrated with large language models (LLMs) and agentic frameworks.
  • Frontend Development: Create interactive, responsive front-end components for user interfaces using modern frameworks like React, Vue, or Next.js.
  • MLOps & Deployment: Manage end-to-end life cycles for production, including deployment workflows using Kubernetes, Cloud Run, or containerization tools to ensure high-performance applications.
  • Database Management: Manage both relational and NoSQL databases to support AI-powered functionality.
  • Collaboration: Work closely with data scientists, product managers, and designers to turn AI capabilities into user-focused products.
Qualifications

Required Qualifications & Skills

  • Experience: Proven experience (5~8 yrs. for Middle Level) as a Full Stack Developer with specialized experience in AI model deployment.
  • Backend Skills: Strong proficiency in Python and frameworks like FastAPI or Django.
  • Frontend Skills: Experience with modern JavaScript frameworks (React.js + Node.js,Next.js, Plotly Dash + FastAPI).
  • AI/ML Knowledge: Familiarity with AI model integration (e.g., OpenAI API, LangChain, PyTorch).
  • Cloud/DevOps: Experience in Cloud platforms (AWS, GCP, Azure) and container technologies (Docker, Kubernetes).
  • Education: Bachelor's or Master's degree in Computer Science, Artificial Intelligence, or a related field.

Preferred Qualifications

  • Experience with generative AI and agentic architectures.
  • Understanding of data privacy and security in AI applications.
  • PhD in Computer Science, Artificial Intelligence, Machine Learning, or a related field
  • PhD in Computer Science, Artificial Intelligence, Machine Learning, or a related field
Additional Information

All your information will be kept confidential according to EEO guidelines.

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