ZipRecruiter

Log In

2

Remote Edge Ai Machine Learning Jobs in California

PhysicsX

Machine Learning Engineer

San Francisco, CA · On-site +1

... edge AI models into tools that are useful and used. You've shipped ML systems end-to-end and at ... We have hybrid offices in London, New York, and Singapore; this role is remote based in the San ...

PhysicsX

Machine Learning Engineer

San Francisco, CA · On-site +1

... edge AI models into tools that are useful and used. You've shipped ML systems end-to-end and at ... We have hybrid offices in London, New York, and Singapore; this role is remote based in the San ...

BMW Group

$162K - $224K/yr

Explore and specify innovative AI-driven solutions, focusing on cutting-edge technologies like ... remote work capability (hybrid). WHAT YOU CAN LOOK FORWARD TO. * Medical, Dental, and Vision ...

BMW

Machine Learning Engineer

Mountain View, CA · On-site +1

$162K - $224K/yr

Explore and specify innovative AI-driven solutions, focusing on cutting-edge technologies like ... remote work capability (hybrid). WHAT YOU CAN LOOK FORWARD TO. * Medical, Dental, and Vision ...

GeoDelphi

Agentic AI Engineer

San Francisco, CA · Remote

Remote / Alexandria, VA Clearance: Eligibility to be cleared Are you ready to be part of a team ... EXPERIENCE * A bachelor's or master's degree in Computer Science, AI, Machine Learning, or a ...

Wings of Destiny

Machine Learning Engineer

Malibu, CA · Remote

Remote Commitment: 5-10 hours per week (flexible) Duration: 3-6 months (with potential extension ... Ensure ethical and responsible AI practices Preferred Qualifications * Experience with Python and ...

DocuSign

Machine Learning Engineer

San Francisco, CA · On-site +1

$164K - $266K/yr

What you'll do As a Machine Learning Engineer on the AI Platform team, you will design and build ... AI services Job Designation Hybrid: Employee divides their time between in-office and remote work.

next page

Showing results 1-20

All JobsRemote Edge Ai Machine Learning JobsRemote Edge Ai Machine Learning Jobs in California

Remote Edge Ai Machine Learning information

What is the difference between Remote Edge Ai Machine Learning vs Data Scientist?

AspectRemote Edge Ai Machine LearningData Scientist
Required CredentialsBachelor's or Master's in CS, AI, or related fields; experience with ML frameworksBachelor's or Master's in Statistics, CS, or related fields; strong analytical skills
Work EnvironmentRemote, often on edge devices or IoT systemsTypically office or remote, analyzing data in cloud or on-premises
Industry UsageAI development, IoT, autonomous systemsBusiness analytics, research, product development

Remote Edge Ai Machine Learning specialists focus on deploying ML models on edge devices, often requiring knowledge of embedded systems. Data Scientists analyze large datasets to extract insights, usually working in cloud environments. While both roles require strong ML fundamentals, their work environments and application areas differ significantly.

What are the most commonly searched types of Edge Ai Machine Learning jobs in California? The most popular types of Edge Ai Machine Learning jobs in California are:
What are popular job titles related to Remote Edge Ai Machine Learning jobs in California? For Remote Edge Ai Machine Learning jobs in California, the most frequently searched job titles are:
What job categories do people searching Remote Edge Ai Machine Learning jobs in California look for? The top searched job categories for Remote Edge Ai Machine Learning jobs in California are:
What cities in California are hiring for Remote Edge Ai Machine Learning jobs? Cities in California with the most Remote Edge Ai Machine Learning job openings:
Remote Edge Ai Machine Learning jobs near you
Infographic showing various Remote Edge Ai Machine Learning job openings in California as of June 2026, with employment types broken down into 60% Full Time, 20% Part Time, and 20% Contract. Highlights an 100% Remote job distribution.

Machine Learning Engineer (Hybrid- Greenfield Opportunity)

Match Made Tech

Irvine, CA • On-site, Remote

$75 - $95/hr

Other

Posted 8 days ago

Job description

AI/ML Engineer - Greenfield AI Project

UNABLE TO OFFER SPONSORSHIP- US CITIZENS & GREEN CARD ONLY

LOCATION: Irvine, CA (onsite). Monday through Thursday onsite, Fridays remote.

SPONSORSHIP NOT AVAILABLE- MUST BE US CITIZEN/ GREEN CARD HOLDER

COMPENSATION: $75-95 an hour. This is a 2-year contract that will convert to full-time.

About Us

We are on a mission to develop innovative AI solutions that will revolutionize our workforce. As we embark on an exciting new greenfield AI project, we are seeking an exceptional AI/ML Engineer to join our team and lead the development of machine learning models as part of this groundbreaking initiative.

Job Description

About the Role

We are seeking a skilled AI/ML Engineer to join our team to design, develop, and deploy machine learning models that solve real-world business challenges. You will work cross-functionally with data scientists, engineers, and product teams to bring cutting-edge AI solutions to production, with a strong focus on NLP, supervised learning, experimentation, and optimization.

Key Responsibilities
  • Model Development & Training
    • Collaborate with data scientists and stakeholders to translate project goals into scalable ML solutions.
    • Design, develop, and train models using state-of-the-art machine learning techniques and tools.
    • Select appropriate annotated datasets and transform raw data into machine learning-ready formats.
  • Data Preparation & Feature Engineering
    • Analyze and process structured/unstructured data for training and evaluation.
    • Develop feature extraction and selection pipelines to improve model performance.
  • Experimentation & Optimization
    • Run controlled experiments and perform statistical analysis to validate models.
    • Refine model hyperparameters and evaluation metrics for optimal performance.
  • Deployment & Integration
    • Work closely with ML Ops to deploy and monitor models in production environments.
    • Ensure all models are integrated seamlessly into existing systems.
  • Collaboration & Code Quality
    • Participate in code reviews, pair programming, and knowledge-sharing sessions.
    • Write testable, production-quality code that aligns with engineering best practices.
Qualifications & Skills
  • 3–5 years as an ML/AI Engineer or 1–3 years in an ML/AI leadership role
  • Proven experience building and deploying machine learning models in production
  • Solid understanding of classical ML algorithms (classification, regression, clustering)
  • Experience working with changing datasets and real-time data pipelines
  • Hands-on experience with Python and frameworks like PyTorch, TensorFlow, Scikit-learn
  • Strong knowledge of data processing (ETL), feature engineering, and statistical evaluation
  • Solid understanding of REST APIs, CI/CD, and containerized deployments (Docker, Kubernetes)
  • Strong communication, analytical thinking, and problem-solving skills
  • Bachelor's degree in Computer Science, Mathematics, Engineering, or a related quantitative field
Preferred Qualifications (Nice-to-Have)
  • Master's or PhD degree in Computer Science, Engineering, or a related field
  • Experience with neural networks and deep learning applications in computer vision, time-series analysis, or reinforcement learning
  • Familiarity with MLOps tools (MLflow, Kubeflow, SageMaker, etc.)
  • Exposure to cloud platforms (AWS, GCP, Azure)
  • Familiarity with version control and experimentation tracking tools
  • Basic knowledge of data governance, security, and compliance standards

Apply