2

Remote Edge Ai Machine Learning Jobs in California

Senior AI Engineer

San Francisco, CA · On-site +1

$150K - $250K/yr

You will lead the development of innovative AI solutions including machine learning models, neural ... Flexible work hours and remote work options * Top‑tier equipment and home office setup

... 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 ...

... 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 ...

San Francisco, CA, US or Remote New York City, NY, US or Remote Syntes AI, Inc. is the creator of ... Your work will involve creating complex algorithms, machine learning models, and data science tools ...

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 ...

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 ...

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 ...

next page

Showing results 1-20

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:
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.

Senior AI Engineer

Lynqex Labs

San Francisco, CA • On-site, Remote

$150K - $250K/yr

Full-time

Medical, Dental, Vision, Retirement

Posted 26 days ago


Job description

We are seeking a Senior AI Engineer to join our cutting-edge AI Research team. You will lead the development of innovative AI solutions including machine learning models, neural networks, and deep learning algorithms that power our next-generation products.

Responsibilities
  • 1 Design and implement state-of-the-art machine learning models and algorithms
  • 2 Lead research projects in deep learning, computer vision, and natural language processing
  • 3 Collaborate with cross-functional teams to integrate AI solutions into production systems
  • 4 Mentor junior engineers and contribute to technical documentation
  • 5 Stay current with the latest AI research and implement novel approaches
  • 7 Work on large-scale distributed training systems
  • 8 Contribute to open-source projects and publish research papers
Requirements
  • PhD or Master's degree in Computer Science, AI, Machine Learning, or related field
  • 5+ years of hands‑on experience in machine learning and AI development
  • Expertise in Python, TensorFlow, PyTorch, and other ML frameworks
  • Experience with large‑scale AI systems and distributed computing
  • Strong research background with publications in top‑tier conferences
  • Experience with computer vision, NLP, or reinforcement learning
  • Proficiency in cloud platforms (AWS, GCP, Azure)
  • Excellent problem‑solving and communication skills
Preferred Qualifications
  • Experience with blockchain and AI integration
  • Knowledge of quantum computing and its applications
  • Previous work in fintech or healthcare AI
  • Experience with MLOps and model deployment
  • Contributions to open‑source AI projects
  • Competitive salary ($150,000 - $250,000)
  • Equity options and performance bonuses
  • Comprehensive health, dental, and vision insurance
  • $5,000 annual learning and development budget
  • Flexible work hours and remote work options
  • Top‑tier equipment and home office setup
  • Conference attendance and training opportunities
  • 401(k) with company matching
Quick Apply

Ready to Join Us? Click below to start your application.

#J-18808-Ljbffr