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Machine Learning Data Associate Jobs in Denton, TX

HEB

Data Engineering Manager

Dallas, TX

You will partner closely with Product Management, Data Science, Machine Learning Engineering, Search Engineering, Customer Experience, and senior technology leaders to deliver strategic initiatives ...

TeleWorld Solutions Inc

Machine Learning Engineer

Plano, TX · On-site

$53.50 - $71/hr

As a Performance Assurance Machine Learning Engineer, you will work under the coaching of Senior ... You will utilize skills to query databases to extract data, use skills in Python or R to analyze ...

Addison Group

Machine Learning Developer

Dallas, TX · On-site

$115K - $140K/yr

Job Title: Machine Learning Developer Location (city, state): Dallas, Texas - onstie 5x a week ... Collaborate with data scientists to deploy models using tools such as MLflow, AutoML, Unity Catalog ...

Addison Group

Machine Learning Developer

Dallas, TX · On-site

$115K - $140K/yr

Job Title: Machine Learning Developer Location (city, state): Dallas, Texas - onstie 5x a week ... Collaborate with data scientists to deploy models using tools such as MLflow, AutoML, Unity Catalog ...

Vizient, Inc.

AVP, Machine Learning & Modeling

Irving, TX · On-site

$156K - $290K/yr

Oversee teams of data scientists, modelers, and ML engineers to deliver innovative and scalable ... Strategic Leadership and Vision Provide strategic direction for the organization's machine learning ...

Vizient

AVP, Machine Learning & Modeling

Irving, TX

$156K - $290K/yr

Oversee teams of data scientists, modelers, and ML engineers to deliver innovative and scalable ... Strategic Leadership and Vision Provide strategic direction for the organization's machine learning ...

Quarterhill

Machine Learning Engineer

Frisco, TX · On-site

You'll work with large-scale image and video data, building and optimizing production-grade vision ... Contribute to our machine learning repositories and optimize models for performance, scalability ...

Yum! Brands

Machine Learning Engineer II

Plano, TX · On-site

As a Machine Learning Engineer, you will play a crucial role in developing and deploying cutting ... data streaming. * Experience working with containerization technologies such as Docker and ...

Varsity Tutors

Machine Learning Tutor

Dallas, TX · Remote

$40/hr

Guides students through data preprocessing, feature selection, building and comparing ... Familiar with machine learning curricula and common challenges such as understanding bias-variance ...

Varsity Tutors

Machine Learning Tutor

Mckinney, TX · Remote

$40/hr

Guides students through data preprocessing, feature selection, building and comparing ... Familiar with machine learning curricula and common challenges such as understanding bias-variance ...

Varsity Tutors

Machine Learning Tutor

Plano, TX · Remote

$40/hr

Guides students through data preprocessing, feature selection, building and comparing ... Familiar with machine learning curricula and common challenges such as understanding bias-variance ...

Varsity Tutors

Machine Learning Tutor

Fort Worth, TX · Remote

$40/hr

Guides students through data preprocessing, feature selection, building and comparing ... Familiar with machine learning curricula and common challenges such as understanding bias-variance ...

Varsity Tutors

Machine Learning Tutor

Irving, TX · Remote

$40/hr

Guides students through data preprocessing, feature selection, building and comparing ... Familiar with machine learning curricula and common challenges such as understanding bias-variance ...

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All JobsMachine Learning Data Associate JobsMachine Learning Data Associate Jobs in Denton, TX

Machine Learning Data Associate information

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How much do machine learning data associate jobs pay per hour?

As of Sep 12, 2026, the average hourly pay for machine learning data associate in Denton, TX is $17.57, according to ZipRecruiter salary data. Most workers in this role earn between $14.42 and $18.70 per hour, depending on experience, location, and employer.

What is a machine learning data associate?

Machine Learning Data Associates are professionals who support the development of machine learning models by preparing, labeling, and validating data sets. Their work ensures that data used for training algorithms is accurate, consistent, and properly annotated. They may also assist with data cleaning, quality checks, and sometimes basic data analysis tasks. This role is crucial in industries where high-quality labeled data is essential for building effective AI systems.

What are the key skills and qualifications needed to thrive as a machine learning data associate?

To thrive as a Machine Learning Data Associate, you need strong analytical skills, attention to detail, and a basic understanding of data annotation and labeling processes, often supported by a degree in computer science or a related field. Familiarity with data management tools, annotation platforms, and sometimes scripting languages like Python is typically required. Strong communication, collaboration, and problem-solving abilities help you work efficiently with data science teams and ensure high-quality outcomes. These skills and qualities are crucial for producing accurate datasets that directly impact the effectiveness of machine learning models.

How does a machine learning data associate typically collaborate with data scientists and engineers within a project team?

As a Machine Learning Data Associate, you play a vital role in supporting data scientists and engineers by annotating, cleaning, and organizing large datasets to ensure high data quality. You'll frequently communicate with team members to clarify labeling guidelines, provide feedback on data inconsistencies, and report any edge cases encountered during annotation. This collaboration ensures that the datasets used for training machine learning models are accurate and comprehensive, directly impacting the success of the project. Expect regular team meetings and ongoing feedback loops to maintain alignment with evolving project requirements.

What is the difference between Machine Learning Data Associate vs Data Analyst?

AspectMachine Learning Data AssociateData Analyst
Required SkillsData cleaning, labeling, basic programming, understanding of ML workflowsData interpretation, visualization, statistical analysis
Work EnvironmentTech companies, AI startups, research labsBusiness, finance, marketing, healthcare sectors
Common CertificationsData Science certifications, Python, SQLExcel, Tableau, SQL certifications

The main difference is that Machine Learning Data Associates focus on preparing and labeling data specifically for machine learning models, while Data Analysts interpret data to generate insights for business decisions. Both roles require strong data skills and often overlap, but their primary objectives and work environments differ.

How do I become a machine learning data associate?

To become a machine learning data associate, candidates typically need a high school diploma or equivalent, with some roles preferring a bachelor's degree in computer science, data science, or related fields. Relevant skills include data annotation, understanding of machine learning concepts, and proficiency with tools like Excel, SQL, or data labeling platforms. Gaining experience through internships or certifications can improve job prospects in this field.

Is a Machine Learning Data Associate a good job?

A Machine Learning Data Associate role involves preparing and managing data for machine learning models, often requiring skills in data cleaning, annotation, and familiarity with tools like Python or SQL. It can be a good entry-level position for those interested in AI and data science, offering opportunities to develop technical skills and gain industry experience. Compensation and job satisfaction vary depending on the employer and location, but it generally provides a solid foundation for a career in machine learning or data analysis.

What cities near Denton, TX are hiring for Machine Learning Data Associate jobs?

Cities near Denton, TX with the most Machine Learning Data Associate job openings:

Machine Learning Data Associate jobs near you
Infographic showing various Machine Learning Data Associate job openings in Denton, TX as of August 2026, with employment types broken down into 1% As Needed, 81% Full Time, 14% Part Time, and 4% Contract. Highlights an 84% Physical, 5% Hybrid, and 11% Remote job distribution, with an average salary of $36,542 per year, or $17.6 per hour.

Data Engineering Manager

Dallas, TX

HEB
Retail • 10K+ employees
Learn more about HEBexternal

Full-time

Re-posted 15 days ago

Job description

Responsibilities

We are seeking an experienced Data Engineering Manager to lead the design, development, and delivery of scalable data platforms and data products that power personalized customer experiences across digital retail channels. This leader will manage and develop a team of Data Engineers responsible for building reliable, secure, and high-performance data pipelines, machine learning data infrastructure, and customer data solutions that enable personalized product search, search ranking, recommendations, customer segmentation, behavioral analytics, and omnichannel personalization.

As a people leader, you will be responsible for hiring, onboarding, coaching, performance management, succession planning, and career development while fostering a culture of innovation, operational excellence, and continuous improvement. You will partner closely with Product Management, Data Science, Machine Learning Engineering, Search Engineering, Customer Experience, and senior technology leaders to deliver strategic initiatives that drive measurable business outcomes.

The ideal candidate combines deep expertise in modern data engineering and large-scale data platforms with proven leadership experience and a strong understanding of customer behavior data, personalization systems, recommendation engines, and cloud-based technologies.

Key Responsibilities & Essential FunctionsLeadership & Team Management
  • Lead, mentor, and develop a high-performing team of Data Engineers across one or more engineering squads.
  • Foster an environment of accountability, collaboration, innovation, and customer-centric thinking.
  • Manage all people leadership responsibilities, including hiring, onboarding, performance reviews, career development, promotions, succession planning, compensation planning, and employee engagement.
  • Coach and mentor engineers in engineering best practices, technologies, processes, and career growth.
  • Empower team members to be autonomous, highly effective, and capable of delivering scalable solutions.
  • Establish engineering standards, coding practices, operational excellence frameworks, and delivery processes.
  • Drive Agile planning, sprint execution, prioritization, and delivery of strategic initiatives.
Data Platform & Engineering
  • Lead the design, development, and operation of scalable batch, streaming, and real-time data platforms.
  • Develop and maintain data products supporting:
    • Personalized product search
    • Search relevance and ranking optimization
    • Product recommendations
    • Nice to have:
    • Customer segmentation
    • Customer identity and householding
    • Behavioral analytics
    • Omnichannel personalization
  • Design scalable data architectures utilizing modern lakehouse, data lake, and cloud-native patterns.
  • Build and support feature stores, APIs, and data services used by machine learning and personalization systems.
  • Ensure high levels of data quality, reliability, observability, governance, security, and compliance.
  • Optimize platform performance, scalability, availability, and cost efficiency.
  • Implement monitoring, alerting, SLA management, and incident response procedures for production data platforms.
Technical Strategy & Architecture
  • Develop technical roadmaps aligned with business priorities and long-term organizational objectives.
  • Lead the technical design and delivery of complex initiatives across multiple systems and platforms.
  • Recommend improvements to architecture, scalability, reliability, security, performance, and operational processes.
  • Evaluate emerging technologies and industry best practices to enhance platform capabilities.
  • Guide engineering teams on architectural decisions, code quality, design reviews, and technical standards.
  • Assist in diagnosing and resolving highly complex technical and operational issues.
Customer Personalization & Machine Learning Enablement
  • Build foundational data capabilities that support:
    • Product recommendation engines
    • Purchase behavior analysis
    • Real-time personalization
    • Search relevance optimization
    • Behavioral event processing
      Nice to Have:
    • Customer 360 platforms
    • Customer identity resolution
    • Clickstream analytics
  • Partner with Data Scientists and Machine Learning Engineers to operationalize and scale personalization models.
  • Enable experimentation, A/B testing, feature engineering, and measurement frameworks that improve customer experiences.
Cross-Functional Collaboration
  • Collaborate closely with Product Management, Data Science, Machine Learning Engineering, Search Engineering, Customer Experience teams, and business stakeholders.
  • Translate business objectives into scalable technical solutions and execution plans.
  • Communicate technical strategy, progress, risks, recommendations, and outcomes to leaders and stakeholders.
  • Lead cross-functional initiatives with significant business impact and organizational visibility.
Operational Excellence
  • Establish operational objectives, work plans, staffing strategies, and resource allocations.
  • Ensure adherence to budgets, timelines, and performance requirements.
  • Implement strategic policies, processes, and standards that support departmental and organizational objectives.
  • Drive continuous improvement through modern engineering practices, automation, observability, and operational excellence.
Qualifications & Key RequirementsWork Experience
  • 8+ years of experience in software engineering, data engineering, or related technical disciplines.
  • 3+ years of experience leading and developing engineering teams.
  • Proven experience delivering large-scale data platform, analytics, or machine learning infrastructure initiatives.
  • Experience managing technical roadmaps, cross-functional projects, and engineering delivery.
Knowledge, Skills & Abilities
  • Strong leadership skills with demonstrated success building and managing high-performing engineering teams.
  • Expert knowledge of data architecture, distributed systems, software design patterns, and engineering best practices.
  • Deep understanding of data modeling, ETL/ELT, streaming architectures, and event-driven systems.
  • Strong expertise with:
    • Python
    • SQL
    • Apache Spark
    • Kafka
    • Data orchestration frameworks
  • Experience with cloud platforms such as AWS and/or Google Cloud Platform.
  • Experience with modern data lake and lakehouse architectures.
  • Experience building APIs, data products, and services supporting machine learning applications.
  • Strong understanding of scalability, reliability, security, observability, and performance engineering.
  • Ability to lead technical strategy while balancing business priorities and organizational goals.
  • Strong communication and stakeholder management skills.
Preferred Qualifications
  • Experience in retail, e-commerce, digital commerce, or customer-facing digital products.
  • Experience supporting:
    • Personalized product search
    • Search ranking and relevance systems
    • Recommendation engines
    • Customer personalization platforms
    • Customer 360 initiatives
  • Experience working with clickstream, behavioral, transactional, and customer identity data.
  • Familiarity with:
    • Recommendation systems
    • Collaborative filtering
    • Embeddings and feature engineering
    • Vector search and semantic search technologies
    • MLOps platforms
    • Feature stores
    • Experimentation frameworks and A/B testing
  • Experience supporting machine learning platforms and production AI/ML workloads.
Education
  • Bachelor's degree in Computer Science, Engineering, Information Systems, Data Science, or a related field, or equivalent combination of education and professional experience.
Physical Demands & Working Conditions
  • Ability to function in a fast-paced, multi-priority environment.
  • Ability to travel as needed.
  • May require occasional extended hours to support critical business initiatives and production events.

The responsibilities and qualifications outlined above describe the general nature and level of work assigned to this position and are not intended to be an exhaustive list of all duties, responsibilities, or skills required. Duties may be modified at any time based on business needs.


Last revised: 11/01/2024

Qualifications:UNAVAILABLEEducation:UNAVAILABLEEmployment Type: FULL_TIME

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