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Director Graduate Machine Learning Jobs in Ontario, CA

Veritone

AI/Machine Learning Engineer

Irvine, CA · On-site

At least 3 years of professional experience building and deploying software systems, with direct ... machine learning workloads and production code. DISCLOSURE Our company provides equal employment ...

Veritone

AI/Machine Learning Engineer

Irvine, CA

At least 3 years of professional experience building and deploying software systems, with direct ... machine learning workloads and production code. DISCLOSURE Our company provides equal employment ...

Boot Barn

Director, Data Science & Insights

Irvine, CA

$150K - $200K/yr

DIRECTOR, DATA SCIENCE & INSIGHTS REPORTS TO: CHIEF DIGITAL OFFICER STATUS: EXEMPT Summary Boot ... Strong understanding of machine learning, statistical modeling, experimentation, and modern AI ...

Boot Barn

Director, Data Science & Insights

Irvine, CA · On-site

$150K - $200K/yr

DIRECTOR, DATA SCIENCE & INSIGHTS REPORTS TO: CHIEF DIGITAL OFFICER STATUS: EXEMPT Summary Boot ... Strong understanding of machine learning, statistical modeling, experimentation, and modern AI ...

Chapman University

CCC Graduate Assistant

Orange, CA · On-site

$20/hr

Responsibilities * Under the supervision of the Executive Director, the GA will assist in ... learning environments. * Attend and participate in university-wide events, trainings, and workshops ...

Chapman University

CCC Graduate Assistant

Orange, CA · On-site

$20/hr

Responsibilities * Under the supervision of the Executive Director, the GA will assist in ... learning environments. * Attend and participate in university-wide events, trainings, and workshops ...

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Showing results 1-20

All JobsGraduate Machine Learning JobsDirector Graduate Machine Learning JobsDirector Graduate Machine Learning Jobs in Ontario, CA

Director Graduate Machine Learning information

See Ontario, CA salary details

$61K

$105.5K

$166.4K

How much do director graduate machine learning jobs pay per year?

As of Aug 31, 2026, the average yearly pay for director graduate machine learning in Ontario, CA is $105,469.00, according to ZipRecruiter salary data. Most workers in this role earn between $90,600.00 and $120,600.00 per year, depending on experience, location, and employer.

What is the difference between Director Graduate Machine Learning vs Data Scientist?

AspectDirector Graduate Machine LearningData Scientist
Required CredentialsAdvanced degrees (Master's/PhD), strong machine learning backgroundTypically Bachelor's or Master's, focus on data analysis and modeling
Work EnvironmentLeadership role, strategic planning, overseeing teamsHands-on data analysis, model development, experimentation
Employer & Industry UsageTech companies, research institutions, large enterprisesVariety of industries including finance, healthcare, tech
Search & Comparison IntentUnderstanding leadership roles in MLData analysis and modeling skills

The main difference is that a Director Graduate Machine Learning typically holds a leadership position overseeing ML teams and strategy, requiring advanced degrees and experience. In contrast, a Data Scientist focuses on hands-on data analysis, modeling, and experimentation without necessarily managing teams or setting strategic direction.

What cities near Ontario, CA are hiring for Director Graduate Machine Learning jobs?

Cities near Ontario, CA with the most Director Graduate Machine Learning job openings:

Director Graduate Machine Learning jobs near you

AI/Machine Learning Engineer

Veritone

Irvine, CA • On-site

Full-time

Medical, Life, Retirement, PTO

Posted 26 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. This position may be eligible for additional compensation and benefits including but not limited to: incentive compensation; health benefits; retirement benefits; life insurance; paid time off; parental leave and benefits; and 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.

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