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Part Time Ai Software Engineer Jobs in California

Brain Gain Recruiting

Explainable AI Engineer

Palo Alto, CA · Remote

$122K - $165K/yr

Collaborate with the cloud software team and occasionally with customers * Document Explainable AI ... You will have an opportunity to start as a contractor (preferred; full-time or part-time, at least ...

Shield AI

Staff DevSecOps Engineer (R5824)

San Mateo, CA · On-site

$180K - $280K/yr

... support Shield AI's software products and platforms. As a DevSecOps Engineer, you will design ... Military fellows and part-time employees are not eligible for benefits. Please speak to your talent ...

New

Shield AI

Staff Engineer, DevOps (5431)

San Diego, CA · On-site

$150K - $220K/yr

Shield AI is building autonomous aircraft that redefine aviation. The Software Integration ... Military fellows and part-time employees are not eligible for benefits. Please speak to your talent ...

Uare.ai

AI / Video Engineer

Los Altos, CA

Working part-time with flexible hours, you'll experiment with the latest AI video generation tools ... Experience with traditional video editing software (Adobe Premiere, After Effects, DaVinci Resolve)

Uare.ai

AI / Video Engineer

Los Altos, CA · On-site

Working part-time with flexible hours, you'll experiment with the latest AI video generation tools ... Experience with traditional video editing software (Adobe Premiere, After Effects, DaVinci Resolve)

Uare.ai

AI / Video Engineer

Los Altos, CA

Working part-time with flexible hours, you'll experiment with the latest AI video generation tools ... Experience with traditional video editing software (Adobe Premiere, After Effects, DaVinci Resolve)

We Vote

Senior Software Engineer

Oakland, CA · On-site +1

$140K - $185K/yr

WeVote is building a movement of over 150 excellent, passionate, part-time volunteers (starting ... Install our software on your development machine. We need full-stack engineers who can work in both ...

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All JobsAi Software Engineer JobsPart Time Ai Software Engineer JobsPart Time Ai Software Engineer Jobs in California

Part Time Ai Software Engineer information

What is the difference between Part Time Ai Software Engineer vs Part Time Data Scientist?

AspectPart Time Ai Software EngineerPart Time Data Scientist
Required CredentialsBachelor's in CS, AI, or related field; programming skills in Python, TensorFlowBachelor's in Data Science, Statistics, or related; proficiency in R, Python, data analysis
Work EnvironmentTech companies, startups, research labs; focus on AI model developmentBusiness, healthcare, finance; focus on data analysis and insights
Employer & Industry UsageAI-focused projects across various industriesData-driven decision making in multiple sectors

Part Time Ai Software Engineers focus on developing and implementing AI models, requiring programming and AI-specific skills. Part Time Data Scientists analyze data to extract insights, often using statistical tools. Both roles are common in tech and data-driven industries, but their core responsibilities differ.

What are the most commonly searched types of Ai Software Engineer jobs in California?

The most popular types of Ai Software Engineer jobs in California are:

Part Time Ai Software Engineer jobs near you

Explainable AI Engineer

Brain Gain Recruiting

Palo Alto, CA • Remote

$122K - $165K/yr

Full-time, Part-time

Posted 19 days ago

Job description

Company Description

We’re an Industrial AI start-up founded by a Stanford professor and led by recognized leaders in Data Intelligence for Aerospace & Defense supply chain operations. Our Enterprise SaaS AI Application improves sustainment of the U.S. Air Force’s 5,000-aircraft fleet ($100B yearly budget). Having delivered $200M+ in cost avoidances, we are growing 4x in repeat contracts.

We have built and are operationally deploying hallucination-free Agentic AI for mission critical decision support that relies on proprietary Explainable AI engines for SME-explainable insights from existing data.

Job Description

We’re hiring an Explainable AI Engineer to build, verify, and validate business impact predictions based on outputs of our AI Engines. You’ll have an opportunity to learn from Stanford and Georgia Tech professors and work across algorithms and data pipelines to evolve our Explainable AI including

  • Development of Operations Research features for the AI models
  • Automation of data management towards scalability
  • Aerospace grade V&V for mission critical functions using simulations
  • Explainable AI engine interfaces to data, human users, and Agentic AI

Main Responsibilities:

  • Understand, develop, & support business impact prediction analytics in Explainable AI Engines
  • Build, evolve, verify, and validate data processing pipeline segments
  • Support scalable deployment of the AI
  • Integrate Explainable AI with LLM tools for Agentic AI experience
  • Collaborate with the cloud software team and occasionally with customers
  • Document Explainable AI for customer users and internal software developers
Qualifications

Must-haves

  • Experience building mission-critical analytical applications, working in a production environment
  • Hands-on skills in at least some of mathematical methods in:
    • Operations Research
    • Bayesian statistics
    • Monte Carlo analysis
    • Mathematical optimization
    • Decision and Control
  • Experience with MATLAB
  • Model-based development / simulation-based verification
  • Solid experience writing technical documentation
  • Strong collaboration and communication skills; experience working with a software team
  • Graduate Degree in Engineering or a related field
  • U.S. Citizenship.

Pluses

  • Supply chain and/ or sustainment in the aerospace industry
  • Experience with Java and GitHub (Actions)
  • Building SaaS applications
  • Experience with GenAI and LLM augmentation (RAG)
  • PhD

Additional Information
  • US Citizenship Required: This position requires the ability to work with Controlled Unclassified Information for the Department of Defense.
  • A background check and a drug check may be required.
  • Location: This is a remote position. USA, Nationwide.
  • You will have an opportunity to start as a contractor (preferred; full-time or part-time, at least 10 hours/ week), or a full-time employee.