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Machine Learning Data Associate Jobs in Encinitas, CA

Leidos

Senior Machine Learning Engineer

Vista, CA · On-site

$107K - $195K/yr

  • Medical

  • Retirement

  • PTO

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 ...

Apple Inc.

Machine Learning Engineer- Gen AI

San Diego, CA · On-site

$142.30 - $214.30/hr

  • Medical

  • Dental

  • Retirement

... machine learning solutions. We deliver projects from end-to-end: problem statement and ... You will perform ad-hoc statistical analyses, work closely with data engineers to generate detailed ...

Bespoke Labs

Machine Learning Engineer

San Diego, CA · On-site

About Us We are AI researchers and builders who understand how to curate data and RL environments ... deep learning proficiency (PyTorch preferred; familiar with training loops, optimizers, mixed ...

Qualcomm

Senior Engineer - Machine Learning

San Diego, CA · On-site

$110K - $152K/yr

Improve data quality and model reliability through systematic evaluation Cross-functional ... Machine learning fundamentals (supervised, unsupervised, deep learning) * Transformer architectures ...

Qualcomm

Senior Engineer - Machine Learning

San Diego, CA · On-site

$110K - $152K/yr

Improve data quality and model reliability through systematic evaluation Cross-functional ... Machine learning fundamentals (supervised, unsupervised, deep learning) * Transformer architectures ...

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All JobsMachine Learning Data Associate JobsMachine Learning Data Associate Jobs in Encinitas, CA

Machine Learning Data Associate information

See Encinitas, CA salary details

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$33

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

As of Aug 14, 2026, the average hourly pay for machine learning data associate in Encinitas, CA is $20.13, according to ZipRecruiter salary data. Most workers in this role earn between $16.54 and $21.44 per hour, depending on experience, location, and employer.

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.

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 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 much do machine learning data associates make?

Machine Learning Data Associates typically earn between $40,000 and $70,000 annually, depending on experience, location, and the complexity of data tasks. Entry-level positions may start lower, while experienced associates working with large datasets or specialized tools can earn higher salaries.

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, with opportunities for skill development and career growth in the tech industry.

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 cities near Encinitas, CA are hiring for Machine Learning Data Associate jobs?

Cities near Encinitas, CA 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 Encinitas, CA as of August 2026, with employment types broken down into 1% As Needed, 79% Full Time, 16% Part Time, and 4% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution, with an average salary of $41,862 per year, or $20.1 per hour.

Senior Machine Learning Engineer

The Marlin Alliance

San Diego, CA • On-site

$131K - $173K/yr

Full-time

Re-posted 22 days ago

Job description

The Marlin Alliance, Inc. is seeking a Senior Machine Learning Engineer to design, develop, and implement advanced machine learning models and algorithms in support of naval applications. This role requires deep technical expertise in modern machine learning methods, distributed systems, cloud-native development, and software engineering best practices. The Senior ML Engineer will collaborate with multidisciplinary teams to deliver mission-focused AI solutions that integrate into operational Navy environments.

Incorporated in 2002, The Marlin Alliance is a digital transformation company dedicated to ensuring our clients compete and win in tomorrow’s digital world. We specialize in creating technical solutions that allow for seamless execution of automated business processes and the generation of governed, machine-consumable data. From strategic planning to advanced analytics and cybersecurity, our team provides cutting-edge, cross-disciplinary solutions. We are seeking motivated professionals who share our agile, solution-oriented mindset and are ready to deliver the real, practical results relied upon by our clients.

Citizenship and Clearance requirements:

  • U.S. Citizenship required
  • No dual citizenship
  • Active TS security clearance required
  • Active TS SCI security clearance preferred

Location - ON-Site near one of the following locations:

  1. 1st Space Brigade - Fort Carson, CO
  2. Air Force TENCAP - Colorado Springs, CO
  3. NIWC LANT - Charleston, SC
  4. Buckley Space Force Base - Denver, CO
  5. NAVWAR - San Diego, CA

Travel:

  • 15%

Responsibilities:

  • Collaborate with cross-functional teams to understand and address Navy operational challenges using data pipelines and analytics.
  • Design, develop, and implement data pipelines and analytics for naval applications.
  • Perform exploratory data analysis, algorithm development, and testing.
  • Normalize and structure data to common standards for interoperability.
  • Work with multiple data formats, including CSV, JSON, XML, Parquet, and ORC.
  • Develop and deploy data pipelines and analytics in real-world operational environments.
  • Deploy, monitor, and optimize data pipelines to ensure high performance and reliability.
  • Implement event streaming pipelines using Apache Kafka, AWS Kinesis, RabbitMQ, or ZeroMQ.
  • Utilize distributed computing platforms such as AWS Lambda, Dask, or Spark.
  • Leverage cloud-native tools including AWS S3, RDS, EFS, SNS, and SQS.
  • Utilize data pipeline frameworks such as AirByte, Apache Airflow, dbt, Apache Iceberg, and Snowflake.
  • Work with GIS data using ArcGIS, PostGIS, and related tooling.
  • Implement containerized environments using Docker or Kubernetes.
  • Apply cybersecurity principles in the context of secure DoD data applications.
  • Communicate findings and engineering solutions effectively with technical and mission stakeholders.

Required Skills and Experience:

  • Experience as a data scientist, data engineer, geospatial engineer, machine learning engineer, or software engineer.
  • Proven experience developing and deploying algorithms, mathematical models, or machine learning models in real-world applications.
  • Strong programming skills in Python.
  • Familiarity with cloud platforms (e.g., AWS, Azure) or containerization technologies (e.g., Docker, Kubernetes).
  • Familiarity with software engineering best practices, including Git.
  • Strong programming skills in Java, C++, Go, or Rust.
  • Strong analytical, problem-solving, and communication skills.
  • Ability to work effectively in a collaborative team environment.
  • Ability to safely carry tools, equipment, and materials aboard ship, including ascending and descending shipboard ladders(stairwells) and navigating confined spaces while maintaining required points of contact. Tools and equipment will weigh no more than 50 lbs.
  • Ability to perform required work aboard Navy vessels and in shipboard environments, including navigating narrow passageways, ascending and descending ladders (stairwells), working on elevated platforms, and operating in variable sea conditions.
  • Ability to perform activities on a recurring basis during shipboard operations or testing evolutions.
  • Ability to comply with Navy safety requirements and wear required personal protective equipment (PPE).
  • Candidates should be prepared to complete a coding exercise as part of the interview process.

Preferred Skills and Experience:

  • Experience with distributed computing and parallel processing.
  • Experience with CI/CD pipelines and automation tools (GitHub Actions, GitLab CI, Jenkins).
  • Experience with ML frameworks such as TensorFlow, PyTorch, or scikit-learn.
  • Experience with cloud-native architecture and software API design.
  • Experience integrating machine learning into operational DoD systems or edge computing environments.
  • Familiarity with DoD AI strategies, MLOps, or data engineering in secure environments.
  • Previous experience supporting government agencies or military organizations. (NAVWAR, NIWC Pacific, or other Navy C2/ISR programs strongly preferred).

Education and Certification Requirements:

  • Bachelor of Science in Computer Science, Data Science, Geography, Math, Machine Learning, or Statistics, OR Equivalent years of relevant experience in lieu of a degree
  • Additional certifications in cloud, data engineering, GIS, or cybersecurity are a plus

Job Classification:

Associate II
$110,000 - $180,000

Disclaimer:

This job description in no way states or implies that these are the only duties to be performed by the employee(s) incumbent in this position. Employees will be required to follow any other job-related instructions and to perform any other job-related duties requested by any person authorized to give instructions or assignments. All duties and responsibilities are essential functions and requirements and are subject to possible modification to reasonably accommodate individuals with disabilities.

To perform this job successfully, the incumbents will possess the skills, aptitudes, and abilities to perform each duty proficiently. Some requirements may exclude individuals who pose a direct threat or significant risk to the health or safety of themselves or others. The requirements listed in this document are the minimum levels of knowledge, skills, or abilities.

This document does not create an employment contract, implied or otherwise, other than an “at-will” relationship.

An Equal Opportunity Employer/Protected Veterans/Individuals with Disabilities

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