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Remote Edge Ai Machine Learning Jobs in California

Lynqex Labs

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

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 ...

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 ... This Role As a Machine Learning Engineer, you'll work closely with our Data Scientists, Simulation ...

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.

Chima

AI Engineer

San Francisco, CA · On-site +1

$100K - $300K/yr

You'll lead our implementation of new AI features and cutting-edge frameworks. * Earn trust with ... Machine Learning (ML)Software Engineer, Python - AI Training (Freelance, Remote) San Francisco, CA ...

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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.

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Remote Edge Ai Machine Learning jobs near you

Senior AI Engineer

Lynqex Labs

San Francisco, CA • On-site, Remote

$150K - $250K/yr

Full-time

Medical, Dental, Vision, Retirement

This job post has expired today. Applications are no longer accepted.

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
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