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New Grad Machine Learning Jobs in Irvine, CA (NOW HIRING)

Expertise with learning new frameworks, algorithms, and technical stacks quickly. * Familiarity ... Demonstrated participation in the successful deployment, monitoring, and scaling of machine ...

Expertise with learning new frameworks, algorithms, and technical stacks quickly. * Familiarity ... Demonstrated participation in the successful deployment, monitoring, and scaling of machine ...

Expertise with learning new frameworks, algorithms, and technical stacks quickly. * Familiarity ... Demonstrated participation in the successful deployment, monitoring, and scaling of machine ...

Machine Learning Engineer

Aliso Viejo, CA · On-site

$109K - $144K/yr

... new product releases. 9. Set OKRs and success steps for self/ team and provide feedback of goals to team members 10. Identify metrics for validating the models and communicate the same in business ...

Machine Learning Engineer

Costa Mesa, CA · On-site

$62K - $100K/yr

As an AI Engineering team member, you will be instrumental in advancing new features and/or solutions from the Proof of Concept stage to full production readiness. Your role involves refining and ...

Senior Machine Learning Engineer

Irvine, CA · On-site

$131K - $173K/yr

Access on-demand professional development resources that allow you to hone existing skills and learn new ones "I can succeed as a Machine Learning Engineer at Capital Group" We are looking for ...

New Grad Registered Nurse - PCU - October 2026

Corona, CA · On-site

$2.1K - $2.8K/wk

To be considered for a New Grad interview you must have an active California RN License position ... HealthStream online learning catalogue with plenty of free CEU courses. * Competitive Compensation ...

New

Showing results 21-40

New Grad Machine Learning information

See Irvine, CA salary details

$27.4K

$45.7K

$94.5K

How much do new grad machine learning jobs pay per year?

As of Aug 23, 2026, the average yearly pay for new grad machine learning in Irvine, CA is $45,709.00, according to ZipRecruiter salary data. Most workers in this role earn between $34,900.00 and $49,400.00 per year, depending on experience, location, and employer.

What is a new grad machine learning?

New Grad Machine Learning roles are entry-level positions designed for recent graduates who have studied machine learning, artificial intelligence, data science, or related fields. These positions typically involve working with experienced data scientists and engineers to develop, implement, and improve machine learning models and algorithms. New grads in these roles often contribute to projects involving data preprocessing, model training, evaluation, and deployment. The goal is to help new graduates gain hands-on experience and grow their skills in a real-world setting while contributing to the organization's AI initiatives.

What skills and qualifications are needed to thrive as a new grad machine learning?

To thrive as a New Grad Machine Learning Engineer, you need a solid foundation in mathematics, statistics, and programming (especially Python), typically supported by a degree in computer science or a related field. Familiarity with machine learning frameworks such as TensorFlow or PyTorch, version control systems like Git, and coursework or certification in data science are highly beneficial. Strong problem-solving abilities, curiosity, and effective communication skills help you collaborate and convey complex technical concepts to diverse teams. These skills and qualities are essential for developing innovative models, ensuring project success, and integrating seamlessly into fast-paced tech environments.

What challenges do new graduates face when starting out in a machine learning role, and how can they overcome them?

New grad machine learning engineers often encounter challenges such as bridging the gap between academic knowledge and practical, production-level projects. Adapting to real-world data issues, collaborating with cross-functional teams, and understanding scalable deployment can be daunting at first. To overcome these, it's helpful to seek mentorship, proactively ask questions, and dedicate time to learning best practices in code versioning, model evaluation, and team communication. Engaging in code reviews and participating in team discussions can also accelerate the learning curve and foster professional growth.

What is the difference between New Grad Machine Learning vs Data Scientist?

AspectNew Grad Machine LearningData Scientist
Required CredentialsBachelor's in CS, Data Science, or related field; some internshipsBachelor's or Master's in CS, Statistics, or related; some experience
Work EnvironmentEntry-level, team-focused, research and developmentData analysis, modeling, cross-functional collaboration
Employer & Industry UsageTech companies, startups, research labsTech, finance, healthcare, consulting firms

New Grad Machine Learning roles typically focus on foundational skills, internships, and entry-level tasks, while Data Scientist positions often require more experience in data analysis and statistical modeling. Both roles are common in tech industries, but Data Scientists usually handle broader data analysis responsibilities.

What are popular job titles related to New Grad Machine Learning jobs in Irvine, CA?

For New Grad Machine Learning jobs in Irvine, CA, the most frequently searched job titles are:

What job categories do people searching New Grad Machine Learning jobs in Irvine, CA look for?

The top searched job categories for New Grad Machine Learning jobs in Irvine, CA are:

What cities near Irvine, CA are hiring for New Grad Machine Learning jobs?

Cities near Irvine, CA with the most New Grad Machine Learning job openings:

Infographic showing various New Grad Machine Learning job openings in Irvine, CA as of August 2026, with employment types broken down into 1% As Needed, 76% Full Time, 22% Part Time, and 1% Contract. Highlights an 89% Physical, 2% Hybrid, and 9% Remote job distribution, with an average salary of $45,709 per year, or $22 per hour.

AI/Machine Learning Engineer

Veritone, Inc.

Irvine, CA • On-site

$175 - $200/hr

Other

Medical, Life, Retirement, PTO

Posted 17 days ago


Job description

POSITION SUMMARY

The AI/ML Engineer will participate in building, documenting, and refactoring production-grade AI/ML pipelines, model integration layers, and scalable features that grow with business needs.

WHAT YOU'LL DO
  • Process: You identify and analyze areas in existing code, model inference workflows, and data pipelines for optimization, efficiency, and latency improvements.
  • Team: You partner with product, design, data, and infrastructure teams to integrate AI/ML capabilities and intelligent services into application workflows.
  • You participate in on-call support rotation for production ML services, if necessary.
  • You actively participate in team meetings: sharing knowledge on emerging AI trends, asking questions, and challenging assumptions.
  • You actively help your team meet their commitments.
  • You are open to constructive feedback from teammates and management.
  • Personal: You continuously improve your technical skills and stay current with rapid developments in the AI/ML landscape.
  • Proven track record of writing maintainable code, including unit/integration tests, evaluation benchmarks, and readable code.
  • Expertise with learning new frameworks, algorithms, and technical stacks quickly.
  • Familiarity with our tech stack: AI/ML & Data: Python, PyTorch / TensorFlow, Hugging Face, LangChain / LlamaIndex, Vector DBs (e.g., Pinecone, Qdrant, pgvector); MLOps & Infrastructure: Docker, Kubernetes, MLflow / Weights & Biases, Cloud ML Platforms (AWS SageMaker, GCP Vertex AI, etc.); Backend & API: Python, Go, Node.js, GraphQL, ElasticSearch, and Postgres.
WHAT YOU'LL NEED
  • At least 3 years of professional experience building and deploying software systems, with direct experience integrating, fine-tuning, or operating AI/ML models in production environments.
  • Deep proficiency with Python and standard ML libraries (e.g., PyTorch, NumPy, Pandas, Scikit-learn, Hugging Face).
  • Hands-on experience with LLMs, RAG architectures, prompt engineering, or traditional ML model pipelines and inference serving.
  • Ability to design and implement robust APIs and backend microservices in Python (bonus if experienced with Go or Node.js).
  • Professional experience working with RDBMSs, NoSQL DBs, and Vector Databases.
  • Demonstrated participation in the successful deployment, monitoring, and scaling of machine learning workloads and production code.
DISCLOSURE

Our company provides equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion, sex, national origin, age, disability or genetics.

(Colorado & California Only*): The Annual salary listed for the position is a range of $175,000.00-$200,00.00. This base pay is for illustrative purposes only and will be determined based on skills and experience comparable to the job requirements.

  • incentive compensation
  • health benefits
  • retirement benefits
  • life insurance
  • paid time off
  • parental leave and benefits
  • other employee perks and benefits

*Note: Disclosure as required by sb19-085 (8-5-20) of the minimum salary compensation for this role when being hired in Colorado & California.

Veritone (NASDAQ: VERI) designs human-centered AI solutions. Serving customers in the talent acquisition, media, entertainment and public sector industries, Veritone’s software and services empower individuals at the world’s largest and most recognizable brands to run more efficiently, accelerate decision making and increase profitability. Veritone’s leading enterprise AI platform, aiWARE™, orchestrates an ever-growing ecosystem of machine learning models, transforming data sources into actionable intelligence. By blending human expertise with AI technology, Veritone advances human potential to help organizations solve problems and achieve more than ever before, enhancing lives everywhere.

To learn more, visit Veritone.com.

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