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Director Data Analyst Machine Learning Jobs in Temecula, CA

Coordinate data collection and annotation efforts. * Work with real-time data and content coming from various data sources. * Manage machine learning data pipelines. * Design tests for machine ...

Coordinate data collection and annotation efforts. * Work with real-time data and content coming from various data sources. * Manage machine learning data pipelines. * Design tests for machine ...

We are seeking a Senior Machine Learning Engineer to work on MLOPS that support the testing, and ... Data Science & Technical Foundation * MS or Ph.D. in Data Science, Engineering, Applied Science or ...

We are seeking a Senior Machine Learning Engineer to work on MLOPS that support the testing, and ... Data Science & Technical Foundation * MS or Ph.D. in Data Science, Engineering, Applied Science or ...

We are seeking a Senior Machine Learning Engineer to work on MLOPS that support the testing, and ... Data Science & Technical Foundation * MS or Ph.D. in Data Science, Engineering, Applied Science or ...

... machine learning engineers to enable advanced analytics and AI applications. This internship ... Computer Science Data Engineering Information Systems or a related technical field Hands-on ...

... machine learning engineers to enable advanced analytics and AI applications. This internship ... Computer Science Data Engineering Information Systems or a related technical field Hands-on ...

Data Engineering Intern

San Clemente, CA · On-site

$17.75 - $23.25/hr

... machine learning engineers to enable advanced analytics and AI applications. This internship ... Computer Science Data Engineering Information Systems or a related technical field Hands-on ...

... machine learning engineers to enable advanced analytics and AI applications. This internship ... building production-ready data systems within a fast-paced, innovative environment. KEY ...

In a field of applied research such as Data Science, Machine Learning, Mathematics, Statistics, Business Analytics, or Public Health * 3+ years of experience; Direct experience in clinical research ...

In a field of applied research such as Data Science, Machine Learning, Mathematics, Statistics, Business Analytics, or Public Health * 3+ years of experience; Direct experience in clinical research ...

FP&A Analyst

Carlsbad, CA · On-site +1

$70K - $80K/yr

As a recognized leader in AI and machine learning, our team leverages data and patented technology ... Reporting to the Director of FP&A, you'll produce management-facing reports, help build the annual ...

New

... machine learning, reinforcement learning, deep learning. * End-to-end experience in research projects, including study design, simulation/testing, data cleaning, data analysis, and reporting.

... machine learning, reinforcement learning, deep learning. * End-to-end experience in research projects, including study design, simulation/testing, data cleaning, data analysis, and reporting.

Senior Data Engineer

Carlsbad, CA · On-site

$109K - $148K/yr

... analytics platform * Architect and design next generation data platform with appropriate new technologies * Work with executives, product managers, machine learning scientists, and engineers to ...

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Director Data Analyst Machine Learning information

See Temecula, CA salary details

$33.8K

$82.1K

$135.1K

How much do director data analyst machine learning jobs pay per year?

As of Aug 20, 2026, the average yearly pay for director data analyst machine learning in Temecula, CA is $82,103.00, according to ZipRecruiter salary data. Most workers in this role earn between $62,100.00 and $96,400.00 per year, depending on experience, location, and employer.

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

AspectDirector Data Analyst Machine LearningData Scientist
Required CredentialsBachelor's or Master's in Data Science, Computer Science, or related fields; experience in machine learningBachelor's or Master's in Data Science, Statistics, Computer Science; strong programming skills
Work EnvironmentLeads teams, manages projects, strategic planningHands-on data analysis, model development, experimentation
Employer & Industry UsageTech companies, finance, healthcare, retailResearch institutions, tech firms, consulting

The main difference is that the Director Data Analyst Machine Learning oversees teams and strategic initiatives, while Data Scientists focus on developing models and analyzing data directly. The director role emphasizes leadership and project management, whereas data scientists are more hands-on with technical tasks.

What are popular job titles related to Director Data Analyst Machine Learning jobs in Temecula, CA?

For Director Data Analyst Machine Learning jobs in Temecula, CA, the most frequently searched job titles are:

What job categories do people searching Director Data Analyst Machine Learning jobs in Temecula, CA look for?

The top searched job categories for Director Data Analyst Machine Learning jobs in Temecula, CA are:

What cities near Temecula, CA are hiring for Director Data Analyst Machine Learning jobs?

Cities near Temecula, CA with the most Director Data Analyst Machine Learning job openings:

Machine Learning Engineer

NTENT

Carlsbad, CA • On-site

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 22 days ago


Job description

Machine Learning Engineer
Position: Full time
Location: Carlsbad office
About Us:
NTENT provides a Platform-as-a-Service (PaaS), allowing industry partners to customize, localize and integrate search technologies directly into their business-to-consumer offerings. We are a unique group of brilliant minds intent on discovering, learning and building. We work in a vibrant atmosphere, with an emphasis on personal and professional development. This is an opportunity to tackle complex problems usually reserved for a handful of large companies in the search industry.
About the Opportunity:
We are looking for a talented Machine Learning Engineer to join our team and deliver machine learning-driven products. The right candidate will work on development, deployment, and lifecycle management of machine learning models for various large-scale applications (natural language understanding, web search and ranking, recommendation, personalization, dialog/conversation management).
Keywords:
Machine learning, natural language processing, learning-to-rank, online learning, deep learning, interactive machine learning, machine teaching, conversational agents, human computer interaction
Duties and Responsibilities:
  • Design, implement, and deploy machine learning algorithms.
  • Manage machine learning algorithm lifecycle.
  • Coordinate data collection and annotation efforts.
  • Work with real-time data and content coming from various data sources.
  • Manage machine learning data pipelines.
  • Design tests for machine learning algorithm effectiveness and performance monitoring.
  • Design tools and interfaces for interactive machine learning and teaching.
  • Research and development on cutting-edge machine learning technologies.

Qualifications and Skills:
  • Graduate degree in Computer Science with a strong background in machine learning required.
  • Strong problem-solving abilities, solid background in algorithms and data structures required.
  • Strong programming skills in Python and Scala required. Experience in other programming languages (eg. Java, R, Haskell) a plus.
  • Solid knowledge of machine learning tools (eg. scikit-learn, tensorflow, keras, pytorch, Spark MLlib) required.
  • Experience with distributed and streaming data technologies (eg. Hadoop, Spark, Kafka) required.
  • Experience with building and deploying API's with Docker and Kubernetes required.
  • Experience with natural processing tasks (eg. named entity recognition, language modeling, vector representations) required.
  • Experience with Elastic Search, Lucene a plus but not required.
  • Experience with ranking algorithms a plus but not required.
  • Experience with interactive machine learning (eg. active learning, reinforcement learning, machine teaching) a plus but not required.

The ideal candidate will be self-motivated, possess excellent communication skills (both oral and written) and be able to work independently. A keen interest in various aspects of natural language processing is essential in our multi-disciplinary team.
We offer a full comprehensive benefits package including medical, dental and vision. Employees receive a generous time off (PTO) plan and 13 holidays per year. We also offer 401(k) benefits, long term disability benefits and life.