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Entrylevel Ai Ml Engineer Jobs in Santa Rosa, CA

... strong RL/ML expertise, excellent technical judgment and an interest in applying frontier AI ... If you're an RL/ML engineer excited by the opportunity to work on challenging problems with real ...

... strong RL/ML expertise, excellent technical judgment and an interest in applying frontier AI ... If you're an RL/ML engineer excited by the opportunity to work on challenging problems with real ...

ML Agent Engineer

Bodega Bay, CA · On-site

$142K - $263K/yr

We're seeking research engineers to build systems for breakthrough innovations in AI agents ... Hands-on experience with distributed ML systems - CI/CD at scale, distributed testing, or ML ...

AI ENGINEER

Windsor, CA · On-site

$120 - $180/hr

Deploy and operate ML workloads on Google Kubernetes Engine (GKE) with secure and optimized VPC ... engineers, and business stakeholders to deliver production-ready AI solutions. Required Skills:

Posted today

As a ML Engineer, you will: * Work with stakeholders throughout the organization to identify ... NLTK, Stanford CoreNLP, Wikipedia corpus, etc.) PROPRIUS is an AI Industry recruiting firm. We're ...

About Ema Ema is building the world's leading Agentic AI platform to transform enterprise ... Work across the complete lifecycle of ML model development, including problem definition, data ...

Our client is a fast-moving startup doing ambitious work in AI. They're hiring early-career ... Experience with ML training, data pipelines, or internal tooling * Internships or research at ...

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Entrylevel Ai Ml Engineer information

See Santa Rosa, CA salary details

$36.1K

$97.5K

$155.3K

How much do entrylevel ai ml engineer jobs pay per year?

As of Sep 4, 2026, the average yearly pay for entrylevel ai ml engineer in Santa Rosa, CA is $97,507.00, according to ZipRecruiter salary data. Most workers in this role earn between $72,700.00 and $119,200.00 per year, depending on experience, location, and employer.

What is the difference between Entrylevel Ai Ml Engineer vs Data Scientist?

AspectEntrylevel Ai Ml EngineerData Scientist
Required CredentialsBachelor's in CS, AI, or related field; knowledge of ML frameworksBachelor's or higher in CS, Statistics, or related; strong analytical skills
Work EnvironmentDeveloping and deploying ML models, coding, testingData analysis, statistical modeling, data visualization
Employer & Industry UsageTech companies, startups, AI-focused firmsTech, finance, healthcare, research institutions

While both roles involve working with data and machine learning, an Entrylevel Ai Ml Engineer primarily focuses on building and deploying ML models, whereas a Data Scientist emphasizes analyzing data, creating insights, and statistical modeling. The roles often overlap but differ in daily tasks and focus areas.

What are popular job titles related to Entrylevel Ai Ml Engineer jobs in Santa Rosa, CA?

For Entrylevel Ai Ml Engineer jobs in Santa Rosa, CA, the most frequently searched job titles are:

What job categories do people searching Entrylevel Ai Ml Engineer jobs in Santa Rosa, CA look for?

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What cities near Santa Rosa, CA are hiring for Entrylevel Ai Ml Engineer jobs?

Cities near Santa Rosa, CA with the most Entrylevel Ai Ml Engineer job openings:

$40/hr

Full-time

Re-posted 20 days ago


Key responsibilities

  • Build and ship AI-powered full stack applications, including model integration and user-facing interfaces.

  • Partner with data scientists to bring ML models into production by wrapping them in APIs, optimizing inference pipelines, and monitoring performance.

  • Own end-to-end data pipelines supporting model training, validation, and deployment workflows.


Job description

JOB SUMMARY

We are building an AI-first company - which means AI isn't a feature we bolt on; it's the foundation of how we design products, make decisions, and ship software. As an Associate AI/ML Full Stack Developer, you'll be on the front lines of that mission: building intelligent, production-ready applications that put machine learning at the core of the user experience.

This is a role for someone who wants to grow fast. You'll work alongside experienced engineers and data scientists on real problems, ship code that matters, and develop deep expertise at the intersection of AI/ML and full stack development - all in service of one of the most consequential industries in the world.

Key Responsibilities:
  • Build and ship AI-powered full stack applications - from model integration to user-facing interfaces - using modern frameworks and cloud-native infrastructure.
  • Partner with data scientists to bring ML models into production: wrapping them in APIs, optimizing inference pipelines, and monitoring performance in live environments.
  • Own end-to-end data pipelines that support model training, validation, and deployment workflows.
  • Develop frontend experiences (React or similar) that surface AI-driven insights in intuitive, responsive interfaces.
  • Contribute to backend services and microservices that power model serving, data ingestion, and business logic.
  • Participate in code reviews and collaborative design discussions - learning from senior engineers while sharing your own perspective.
  • Stay current with the AI/ML landscape: new architectures, tooling, and frameworks move fast, and so do we.
What you'll need:

Required:

  • Bachelor's degree in Computer Science or a related technical field (or equivalent practical experience).
  • Solid grounding in data structures, algorithms, and object-oriented programming.
  • Understanding of core AI/ML concepts: supervised and unsupervised learning, neural networks, model evaluation.
  • Proficiency in at least one backend language - Python strongly preferred given its centrality to the ML ecosystem.
  • Hands-on experience with web development (React, Angular, or comparable framework).
  • Comfort with both SQL and NoSQL databases.
  • A problem-solving mindset and genuine curiosity about how AI can change the way software works.

Nice to Have:

  • Experience with Python ML libraries: TensorFlow, PyTorch, or Scikit-learn.
  • Familiarity with cloud platforms (AWS, GCP, or Azure) and deploying ML workloads in the cloud.
  • Exposure to LLM APIs, prompt engineering, or retrieval-augmented generation (RAG) patterns.
  • Knowledge of MLOps tooling: experiment tracking, model registries, CI/CD for ML pipelines.
  • Project or coursework experience building AI/ML applications end-to-end.

Who you are:

  • You think AI-first - when approaching a problem, your instinct is to ask how intelligence can be built into the solution, not added as an afterthought.
  • You move fast and learn faster. You're comfortable with ambiguity and excited by the pace of change in the AI space.
  • You communicate clearly and collaborate naturally across disciplines - you can talk to a data scientist about model architecture and to a product manager about tradeoffs.
  • You take ownership. You don't wait to be told what to do next; you find the next important thing and work on it.
  • You care about craft - clean code, thoughtful documentation, and systems that are built to last.

Base Compensation: $40/hr