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Apprentice Machine Learning Testing Jobs in Santa Paula, CA

Amgen Inc. (IR)

Data Scientist

Thousand Oaks, CA · On-site

$134 - $182/hr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

Designing, writing, and testing data / ML pipelines and other advanced analytic / visualization ... A working understanding of common machine learning algorithms and approaches (NNs, RF classifiers ...

NextDeavor Inc.

Production Assembler 1

Simi Valley, CA

$17.60 - $22/hr

  • Medical

  • Dental

  • Vision

  • Retirement

Vocational training, apprenticeships, or equivalent experience in a related field * Ability to ... Prior sewing experience or comfort learning industrial sewing machines * Troubleshooting knowledge ...

SAAZ Micro Inc

Senior Algorithm/Software Engineer

Camarillo, CA · On-site

$125K - $164K/yr

... machine learning and spiking neural network (SNN) approaches for low-power or bandwidth-constrained imaging systems. * Verification & Testing Pipelines: Build robust simulation environments, ground ...

NextDeavor Inc.

Production Assembler I

Simi Valley, CA · On-site

$11.94 - $14.93/hr

  • Medical

  • Dental

  • Vision

  • Retirement

Your work directly supports production lines and downstream assembly or testing teams in an onsite ... Vocational training, apprenticeship, or equivalent experience in a related field * Good mechanical ...

NextDeavor Inc.

4/10-Production Assembler 1

Simi Valley, CA · On-site

$12 - $14.92/hr

  • Medical

  • Dental

  • Vision

  • Retirement

Conduct in-process testing and follow safety policies * Maintain regular, consistent, and punctual ... Vocational training, apprenticeship, or equivalent experience in a related field * 1-2 years of ...

SITECH

Be Seen First

Machine Control/GPS Technician Field Technician - SITECH Pacific

Oxnard, CA · On-site

$36 - $44/hr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Lead technology installations, including equipment setup, system testing, calibration, and customer ... If you are a technician who enjoys troubleshooting, learning new technology, and helping customers ...

AeroVironment, Inc.

CNC Programmer/Machinist

Simi Valley, CA · On-site

$31 - $48/hr

  • Medical

  • Dental

  • Vision

  • Retirement

Utilize insights into how the machine shop integrates with broader engineering and research ... Oversee and implement measurement, testing, and documentation procedures to evaluate completed ...

AeroVironment

CNC Programmer/Machinist

Simi Valley, CA · On-site

$31 - $48/hr

  • Medical

  • Dental

  • Vision

  • Retirement

Utilize insights into how the machine shop integrates with broader engineering and research ... Oversee and implement measurement, testing, and documentation procedures to evaluate completed ...

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Showing results 21-40

All JobsApprentice Machine Learning Testing JobsApprentice Machine Learning Testing Jobs in Santa Paula, CA

Apprentice Machine Learning Testing information

See Santa Paula, CA salary details

$11

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How much do apprentice machine learning testing jobs pay per hour?

As of Aug 20, 2026, the average hourly pay for apprentice machine learning testing in Santa Paula, CA is $19.67, according to ZipRecruiter salary data. Most workers in this role earn between $16.59 and $21.49 per hour, depending on experience, location, and employer.

What does an apprentice machine learning testing do?

An Apprentice Machine Learning Testing professional assists in evaluating and validating machine learning models to ensure they perform as expected. They typically work under the guidance of experienced data scientists or engineers, running tests, analyzing results, and helping to identify issues such as bias or inaccuracies in algorithms. Their responsibilities may also include developing test cases, writing reports, and learning about data preprocessing and evaluation metrics. This role is ideal for those who are new to the field and want to build foundational skills in machine learning quality assurance.

What kinds of projects or tasks can I expect to work on as an apprentice machine learning testing?

As an Apprentice Machine Learning Testing, you’ll typically assist in evaluating machine learning models by designing and running tests, analyzing model outputs, and helping identify issues like bias or overfitting. You may work closely with data scientists and software engineers to validate model performance and ensure results align with project objectives. Your daily tasks might include preparing test datasets, executing automated testing scripts, and documenting findings to help improve model reliability. This role often serves as a valuable introduction to practical machine learning workflows and quality assurance processes in technical teams.

What are the key skills and qualifications needed to thrive as an apprentice machine learning testing, and why are they important?

To thrive as an Apprentice in Machine Learning Testing, a foundational understanding of statistics, programming (especially Python), and basic machine learning concepts is essential, often supported by a degree or coursework in computer science or a related field. Familiarity with tools such as TensorFlow, PyTorch, Jupyter Notebooks, and version control systems is typically required. Strong analytical thinking, attention to detail, and effective communication skills help apprentices collaborate and identify testing issues efficiently. These skills ensure accurate model validation, effective troubleshooting, and contribute to the robust deployment of machine learning solutions.

What is the difference between Apprentice Machine Learning Testing vs Machine Learning Engineer?

AspectApprentice Machine Learning TestingMachine Learning Engineer
Required CredentialsBasic understanding of ML concepts, often pursuing relevant certifications or degreesAdvanced degrees (BSc, MSc, PhD) in CS or related fields, with extensive experience
Work EnvironmentEntry-level, supervised testing environments, often in training programsFull-time, independent development and deployment of ML models in production
Employer & Industry UsageInternships, training programs, entry-level roles in tech companiesEstablished tech firms, startups, research institutions

Apprentice Machine Learning Testing roles focus on learning and assisting with testing ML models under supervision, while Machine Learning Engineers design, build, and deploy ML systems independently. The apprentice position is ideal for gaining foundational skills, whereas the engineer role requires advanced expertise and experience.

What job categories do people searching Apprentice Machine Learning Testing jobs in Santa Paula, CA look for?

The top searched job categories for Apprentice Machine Learning Testing jobs in Santa Paula, CA are:

What cities near Santa Paula, CA are hiring for Apprentice Machine Learning Testing jobs?

Cities near Santa Paula, CA with the most Apprentice Machine Learning Testing job openings:

Apprentice Machine Learning Testing jobs near you

Real Estate Data Scientist - Remote

Harbor Freight Tools

Calabasas, CA • On-site, Remote

$98K - $147K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 24 days ago

Job description

The Real Estate Data Scientist is responsible for developing advanced analytical models and data-driven tools that support strategic real estate decisions across the organization. This role partners closely with Real Estate, Finance, Marketing, and Supply Chain teams to deliver predictive insights related to site selection, network optimization, sales forecasting, and market planning. This role incorporates advanced spatial modeling, geostatistics, and geospatial data engineering to evaluate trade areas, quantify market potential, and optimize network performance.
This position combines strong statistical modeling, data engineering, and business acumen to translate complex data into actionable recommendations. The Real Estate Data Scientist plays a critical role in advancing the organization's use of machine learning, automation, and predictive analytics to improve decision quality and scalability. This is a senior individual contributor role with no direct people management responsibility.
Duties and Responsibilities
  • Advanced Analytics & Predictive Modeling
    • Develop and deploy predictive models for site selection, sales forecasting, cannibalization, and market potential.
    • Build and maintain machine learning models using regression, classification, clustering, optimization, and spatial modeling techniques.
    • Apply spatial statistical methods (e.g., spatial regression, geographically weighted regression, spatial autocorrelation) to capture geographic variation in demand drivers.
    • Develop trade area and customer draw models (e.g., Huff/gravity models) to estimate market share and competitive impact.
    • Incorporate spatial features such as proximity, co-tenancy, demographics, traffic patterns, and nearby store performance into predictive models.
    • Design methodologies for forecasting store performance under various scenarios, including spatial and competitive effects.
    • Continuously monitor and improve model performance and accuracy. 
  • Data Engineering & Automation
    • Design scalable data pipelines integrating real estate, customer, demographic, sales, and geospatial datasets (parcel, census, traffic, mobility, POI data).
    • Perform geospatial data processing including geocoding, spatial joins, coordinate transformations, and spatial indexing (e.g., H3 or similar frameworks).
    • Write efficient SQL and Python workflows to automate recurring analyses, spatial feature engineering, and model refreshes.
    • Ensure data quality, consistency, and reproducibility across analytical outputs, including alignment of spatial boundaries and geographic hierarchies.
  • Real Estate Strategy & Decision Support
    • Partner with Real Estate teams to support site selection, market entry, relocations, and closures.
    • Develop drive-time and network-based trade area analyses to assess accessibility and market reach.
    • Conduct market coverage and white space analysis to identify expansion opportunities and underserved areas.
    • Build location-allocation and network optimization models to determine optimal site placement.
    • Quantify cannibalization and competitive effects using spatial overlap and proximity-based modeling.
    • Provide quantitative insights for Real Estate Committee (REC) evaluations and executive decisions.
    • Develop scoring frameworks and decision tools to prioritize opportunities.         
  • Visualization & Communication
    • Create clear, compelling visualizations and dashboards (Tableau, Power BI, or similar) to communicate insights.
    • Develop interactive geospatial visualizations including trade area maps, performance heatmaps, and market opportunity analyses.
    • Present analytical findings and recommendations to senior leadership and non-technical stakeholders.
  • Experimentation & Innovation
    • Design and execute experiments (A/B tests, quasi-experimental designs) to evaluate real estate strategies.
    • Implement geo-based testing frameworks (e.g., test vs. control markets) to measure impact of site decisions.
    • Apply causal inference methods (e.g., difference-in-differences, synthetic control) accounting for geographic spillovers.
    • Explore new data sources (e.g., mobility, foot traffic) and modeling techniques to enhance predictive capabilities.
    • Contribute to building a best-in-class real estate analytics capability.
  • Cross-Functional Collaboration
    • Work closely with GIS, Data Engineering, Finance, Marketing, and IT teams to align data and models.
    • Partner with GIS teams to ensure alignment between spatial analysis, mapping, and production data pipelines.
    • Translate business problems into analytical solutions and actionable insights.
Scope
  • Staff supervision and development:  No
  • Decision making: 
    • Develops models and analytical frameworks used in strategic decision-making
  • Travel:  Up to 10%
  • Flex Designation:  Anywhere

The anticipated salary range for this position is $98,500-$147,800 depending on location, knowledge, skills, education and experience. This position is also eligible for an annual discretionary bonus. In addition, we offer comprehensive and competitive benefits to Associates (and their families) such as medical, dental, vision, life insurance, short-term and long-term disability. Eligible Associates are able to enroll in our company's 401k plan. Associates will accrue paid time off up to 236 hours per year (inclusive of PTO, floating holidays, and paid holidays). Paid sick time up to 80 hours per year unless otherwise required by law.

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