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Remote Edge Ai Machine Learning Jobs in Poway, CA

Tealium

Sr. Engineer, AI Developer Tools (Remote)

San Diego, CA · On-site +1

$137K - $171K/yr

... AI and machine learning, fueling smarter personalization, predictive insights, and business ... Tealium Connects (remote-first working) , enabling many of us to choose where we do our best work ...

Waymo

Senior System Test Engineer, Perception

San Diego, CA · On-site +1

$110K - $151K/yr

Develop test strategies and new methodologies to support rapid scaling and rare, but critical, edge ... Strong grasp of Machine Learning fundamentals and applied statistical concepts * Solid written and ...

NTENT

Senior Data Engineer

Carlsbad, CA · On-site +1

$109K - $148K/yr

Carlsbad office (Initially Remote) About Us: NTENT provides a Platform-as-a-Service (PaaS ... NTENT utilizes a machine learning algorithmic approach to comprehend massive amounts of information ...

DataAnnotation

Financial Planner - AI Trainer

Vista, CA · Remote

$50 - $100/hr

Enjoy the flexibility of remote work and the freedom to set your own schedule. This is an ... Push the models with complex, real-world scenarios and edge cases to see where their reasoning ...

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All JobsEdge Ai Machine Learning JobsRemote Edge Ai Machine Learning JobsRemote Edge Ai Machine Learning Jobs in Poway, CA

Remote Edge Ai Machine Learning information

See Poway, CA salary details

$26.1K

$43.6K

$90K

How much do remote edge ai machine learning jobs pay per year?

As of Aug 9, 2026, the average yearly pay for remote edge ai machine learning in Poway, CA is $43,562.00, according to ZipRecruiter salary data. Most workers in this role earn between $33,200.00 and $47,100.00 per year, depending on experience, location, and employer.

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 job categories do people searching Remote Edge Ai Machine Learning jobs in Poway, CA look for? The top searched job categories for Remote Edge Ai Machine Learning jobs in Poway, CA are:
What cities near Poway, CA are hiring for Remote Edge Ai Machine Learning jobs? Cities near Poway, CA 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 Poway, CA as of August 2026, with employment types broken down into 1% As Needed, 73% Full Time, 23% Part Time, 1% Temporary, and 2% Contract. Highlights an 87% Physical, 2% Hybrid, and 11% Remote job distribution, with an average salary of $43,562 per year, or $20.9 per hour.

Staff Software Engineer - Agentic AI, ML

Kismet Search

San Diego, CA • Remote

$200K - $350K/yr

Full-time

Posted 8 days ago

Job description

TITLE: Founding ML Software Engineer – Redefine the Future of Code with AI

Position Details:

This isn’t your average engineering role. We're building what no one else has: fully autonomous systems that can modernize legacy software codebases at scale. Imagine an AI that doesn’t just autocomplete lines of code—but can understand, refactor, migrate, and test entire systems. That’s the mission.

We’re looking for engineers who aren’t afraid of the unknown. Who get excited about building things that have never been built. Who want to be part of a close-knit, ambitious team led by repeat founders and backed by tier-one investors.

This is your chance to build foundational infrastructure for the future of software development with top engineers around the world.

What You’ll Do:

  • Architect the Future: Build AI-first systems that understand and rewrite legacy code across languages, frameworks, and platforms.
  • Solve the Impossible: Tackle ambiguous, moonshot problems with no playbook—and invent the tools to solve them.
  • Work Across the Stack: Touch everything from low-level system design to distributed infrastructure to model orchestration.
  • Build AI-Native Systems: Integrate machine learning and LLMs into robust, production-grade pipelines.
  • Lead and Influence: Drive strategy, mentor peers, and shape a high-performance engineering culture from day one.

What You Bring:

  • Deep Technical Fluency: You’ve built real systems at scale. You’re fluent in at least a few languages (Python, C++, JavaScript, etc.) and aren’t scared of learning more.
  • ML/AI Experience: Solid grounding in ML, statistics, or LLM applications - ideally with experience training or deploying models.
  • Startup Energy + Big Thinker: You thrive in ambiguous environments and love taking big bets on the future.
  • Full-Stack Versatility: You’re equally comfortable designing system architecture, shipping backend code, and iterating on ML models.
  • Collaborative Mindset: You enjoy working with other sharp thinkers to push each other and the product further.

Why Join:

  • Moonshot Mission: Build a system that fundamentally changes how code is written, maintained, and modernized.
  • Proven Leadership: Join a team led by second-time founders and technical experts with a track record of success.
  • Tier-One Backing: Work with the support and resources of top investors who believe in this vision.
  • Remote First: They are globally distributed by design but tightly connected in ambition and execution. Open to anywhere in the world, preferably in the United States.

Compensation: $200,000 - $350,000 base (Or competitive offer) + benefits and Equity

Apply