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Oracle Machine Learning Jobs in California (NOW HIRING)

Pattern AI

Senior Data Engineer

San Mateo, CA · On-site +1

$120K - $164K/yr

Company Description PatternAI is an automated machine learning platform that reveals critical ... Experience with SQL RDBMS such as MySQL, Postgres, Oracle, SQL Server, etc., as well as NoSQL ...

Pattern AI

Senior Data Engineer

San Mateo, CA · On-site

$120K - $164K/yr

Company Description PatternAI is an automated machine learning platform that reveals critical ... Experience with SQL RDBMS such as MySQL, Postgres, Oracle, SQL Server, etc., as well as NoSQL ...

Jobsbridge

Sr. Big Data Architect

Sunnyvale, CA · On-site

$79 - $105.75/hr

... Machine Learning, etc. Understanding of HDFS, Pig, Hive, Mahout, Hbase, etc. - no development experience needed Knowledge of Big Data landscape and vendors - IBM,Oracle, Teradata, etc. Experience in ...

INVENSENSE

Sales Operations - Sr Manager

San Jose, CA · On-site

$140K - $180K/yr

Machine Learning & Advanced Analytics (40%) Identify opportunities to apply machine learning and ... as SAP or Oracle Demonstrated ability to translate analytical insights into business ...

The Voleon Group

Database Administrator (DBA)

Berkeley, CA · On-site +1

$155K - $195K/yr

Voleon is a technology company that applies state-of-the-art AI and machine learning techniques to ... Administer, monitor, and maintain relational databases (PostgreSQL, MySQL, or Oracle) in production ...

RH

RH Digital Strategy and Merchandising

Corte Madera, CA · On-site

$164K/yr

Apply data mining, data modeling, natural language processing, and machine learning to extract and ... Oracle ATG Business Control Center (BCC), Contentful, Salesforce; Databases: Oracle DB, MS SQL DB ...

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How much do oracle machine learning jobs pay per hour?

As of Jun 7, 2026, the average hourly pay for oracle machine learning in California is $60.35, according to ZipRecruiter salary data. Most workers in this role earn between $52.88 and $70.24 per hour, depending on experience, location, and employer.

What are the typical responsibilities and daily tasks of someone working in an Oracle Machine Learning position?

Professionals in Oracle Machine Learning roles are typically responsible for building, deploying, and optimizing machine learning models within Oracle Database environments. Daily tasks may include preparing and cleaning large data sets, developing algorithms using SQL, Python, or R, and interpreting results to provide actionable business insights. They often collaborate closely with data engineers, business analysts, and IT teams to understand data needs and translate business requirements into technical solutions. The role also involves monitoring model performance and making continuous improvements to ensure accuracy and efficiency. This position is dynamic and offers opportunities for ongoing learning and career growth in both data science and enterprise database management.

What are the key skills and qualifications needed to thrive in the Oracle Machine Learning position, and why are they important?

To thrive in an Oracle Machine Learning role, you need a strong foundation in machine learning algorithms, data analysis, and proficiency with Oracle Database and PL/SQL, typically supported by a degree in computer science, data science, or a related field. Experience with Oracle Machine Learning tools (such as OML4SQL or OML4Py), certifications like Oracle Certified Professional, and familiarity with platforms such as Oracle Cloud Infrastructure are highly valuable. Excellent problem-solving abilities, attention to detail, and effective communication skills help professionals collaborate across multidisciplinary teams. These competencies are crucial for designing predictive models, extracting meaningful insights from large datasets, and driving data-driven business decisions using Oracle technologies.

What is an Oracle Machine Learning job?

An Oracle Machine Learning job involves using Oracle's machine learning tools and databases to develop, deploy, and manage predictive models and AI-driven solutions. Professionals in this role work with SQL, Python, and Oracle Machine Learning (OML) to analyze data, automate processes, and optimize decision-making. Responsibilities may include data preparation, model training, and integrating machine learning models into Oracle databases and applications. This role is common in industries like finance, healthcare, and retail, where data-driven insights improve business outcomes. Strong knowledge of Oracle Cloud Infrastructure (OCI) and database management is often required.

What are popular job titles related to Oracle Machine Learning jobs in California? For Oracle Machine Learning jobs in California, the most frequently searched job titles are:
What job categories do people searching Oracle Machine Learning jobs in California look for? The top searched job categories for Oracle Machine Learning jobs in California are:
Oracle Machine Learning jobs near you
Infographic showing various Oracle Machine Learning job openings in California as of May 2026, with employment types broken down into 77% Full Time, 3% Part Time, 10% Temporary, 4% Contract, and 6% Nights. Highlights an 94% Physical, 1% Hybrid, and 5% Remote job distribution, with an average salary of $125,519 per year, or $60.3 per hour.

Senior Data Engineer

Pattern AI

San Mateo, CA • On-site, Remote

$120K - $164K/yr

Full-time

Posted 5 days ago

Job description

Company Description
PatternAI is an automated machine learning platform that reveals critical patterns in data for narrow business problems.
Job Description
We are looking for a savvy Data Engineer to join our growing team of data experts. The hire will be responsible for expanding and optimizing our data pipeline architecture, as well as optimizing data flow and collection for cross functional teams.
Responsibilities:
  • Build and deploy the data pipelines that power PatternAI's machine learning platform.
  • Develop warehouse architectures that integrate data from diverse sources.
  • Design analytics solutions for both product development and internal collaborators.

Qualifications
Experience:
  • A minimum of 4 years experience in data engineering, analytics engineering, or software engineering with an emphasis on large scale data management and processing systems.
  • Proficiency in Python and advanced SQL.
  • Advanced experience with ETL pipelines, data modeling and managing data warehouses (Snowflake, BigQuery, Redshift, etc).
  • Experience with SQL RDBMS such as MySQL, Postgres, Oracle, SQL Server, etc., as well as NoSQL systems such as MongoDB is required.
  • Experience with tools including Meltano, dbt, Airflow, and Superset is required.
  • Experience with Docker, Git and AWS (EC2, ECS, S3, Step Functions, and Athena).
  • Analytics and Business Intelligence knowledge is highly preferred.
  • Experience working with common SaaS APIs (such as CRMs) is preferred.

Additional Information
About PatternAI
PatternAI is an early stage startup that is growing rapidly and recently closed a successful round of venture funding. We are emerging from stealth and with an exciting series of machine learning products and a rapidly growing number of enterprise customers.
All your information will be kept confidential according to EEO guidelines.

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