ZipRecruiter

Log In

1

Machine Learning Data Engineer Jobs in California

Apple

Machine Learning - Data Scientist

Sunnyvale, CA · On-site

The Video Engineering Data Analytics and Quality group is seeking an expert in evaluating machine learning and deep learning models, including foundation models and multimodal systems. This role will ...

Apple

Machine Learning - Data Scientist

Sunnyvale, CA

$150K - $277K/yr

The Video Engineering Data Analytics and Quality group is seeking an expert in evaluating machine learning and deep learning models, including foundation models and multimodal systems. This role will ...

Sesame

Data Engineer, Machine Learning

San Francisco, CA · On-site

$120 - $160/hr

You'll collaborate directly with machine learning engineers and researchers -- your job is to make sure they have the right data, in the right shape, at the right time to train, evaluate, and ship ...

Sesame

Data Engineer, Machine Learning

San Francisco, CA · On-site

$170K - $240K/yr

You'll collaborate directly with machine learning engineers and researchers - your job is to make sure they have the right data, in the right shape, at the right time to train, evaluate, and ship ...

Symhas

Machine Learning Lead

Pleasanton, CA · On-site

Machine Learning Lead We are looking for a senior Machine Learning Lead to drive ML strategy and ... Lead the full ML lifecycle: data exploration, feature engineering, model training, evaluation, and ...

IT America Inc

Sr. Data Engineer (AI + AWS)

Irvine, CA · On-site

$122K - $147K/yr

Position: Sr. Data Engineer (AI + AWS) Location: Irvine/LA, CA (Onsite) Duration: Long term ... machine learning data infrastructure. The ideal candidate will have experience building cloud ...

Abaka AI

Machine Learning Engineer

Mountain View, CA · On-site

Abaka AI is built on a mission to be the world's most trusted data partner for AI companies. They are seeking a Machine Learning Engineer to design and develop scalable training pipelines for ...

Abaka AI

Machine Learning Engineer

Mountain View, CA · On-site

Abaka AI is built on the mission to be the world's most trusted data partner for AI companies, supporting global partners with reliable and scalable data solutions. The Machine Learning Engineer will ...

previous pagenext page

Showing results 21-40

All JobsMachine Learning Data Engineer JobsMachine Learning Data Engineer Jobs in California

Machine Learning Data Engineer information

See California salary details

$43.9K

$128K

$175.2K

How much do machine learning data engineer jobs pay per year?

As of Aug 10, 2026, the average yearly pay for machine learning data engineer in California is $128,018.00, according to ZipRecruiter salary data. Most workers in this role earn between $113,000.00 and $135,700.00 per year, depending on experience, location, and employer.

Can a machine learning data engineer become a machine learning engineer?

A machine learning data engineer can transition to a machine learning engineer role by developing skills in model development, algorithms, and deployment, often requiring knowledge of programming languages like Python and frameworks such as TensorFlow or PyTorch. Gaining experience in building and deploying machine learning models is essential for this career progression.

What are the key skills and qualifications needed to thrive in the machine learning data engineer position, and why are they important?

To thrive as a Machine Learning Data Engineer, you typically need strong programming skills in Python or Scala, a deep understanding of data structures, algorithms, and machine learning concepts, as well as a degree in computer science or a related field. Experience with big data tools like Spark, Hadoop, and cloud platforms such as AWS or Azure, along with knowledge of data pipelines and ETL processes, is highly valuable; certifications in these areas can be advantageous. Problem-solving ability, attention to detail, and strong communication skills help professionals excel when working with diverse technical teams and stakeholders. These skills ensure data engineers can effectively build reliable, scalable data systems that support the development and deployment of machine learning models.

What is a machine learning data engineer?

A Machine Learning Data Engineer is responsible for designing, building, and maintaining the data infrastructure that supports machine learning models. They develop data pipelines, ensure data quality, and optimize data storage for efficient processing. This role involves working with large-scale datasets, implementing ETL processes, and collaborating with data scientists to deploy machine learning models. Strong knowledge of databases, cloud platforms, and programming languages like Python and SQL is essential. Their work enables organizations to leverage machine learning effectively by providing reliable and scalable data solutions.

What are the typical daily responsibilities of a machine learning data engineer?

As a Machine Learning Data Engineer, your daily responsibilities often include designing, building, and maintaining data pipelines that efficiently move and transform data for machine learning applications. You may clean, preprocess, and validate large datasets, optimize storage solutions, and work closely with data scientists to ensure data is accessible and usable for model training and evaluation. Regular collaboration with software engineers and business analysts is common to align project goals and solve data-related challenges. Staying up to date with the latest tools and technologies is also important, as you'll help enable scalable and efficient deployment of machine learning solutions.

What are popular job titles related to Machine Learning Data Engineer jobs in California? For Machine Learning Data Engineer jobs in California, the most frequently searched job titles are:
What job categories do people searching Machine Learning Data Engineer jobs in California look for? The top searched job categories for Machine Learning Data Engineer jobs in California are:
Machine Learning Data Engineer jobs near you
Infographic showing various Machine Learning Data Engineer job openings in California as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 12% Part Time, 2% Temporary, and 3% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution, with an average salary of $128,018 per year, or $61.5 per hour.

Senior Machine Learning Data Curation Engineer

XPENG

Santa Clara, CA • On-site

$134K - $161K/yr

Full-time

Posted 19 days ago

Job description

XPENG is a leading smart technology company at the forefront of innovation, integrating advanced AI and autonomous driving technologies into its vehicles, including electric vehicles (EVs), electric vertical take-off and landing (eVTOL) aircraft, and robotics. With a strong focus on intelligent mobility, XPENG is dedicated to reshaping the future of transportation through cutting-edge R&D in AI, machine learning, and smart connectivity.
 
We are seeking a Machine Learning Data Curation Engineer to spearhead the data pipeline development and dataset management for our core AI initiatives. You will bridge the gap between raw data and robust, high-performance machine learning models by designing intelligent tools for data collection, cleaning, and annotation.
 
Key Responsibilities:
  • Dataset Lifecycle Management: Oversee the collection, organizing, cleaning, and maintenance of large-scale, high-quality datasets for model training.
  • Pipeline Development: Build and maintain scalable data processing pipelines and automated intelligent agents to continuously ingest, clean, and enrich training data.
  • Quality & Benchmarking: Define, track, and optimize dataset quality metrics (e.g., diversity, absence of bias) to directly improve ML model performance.
  • Annotation & Labeling: Design and manage data annotation workflows, collaborating with domain experts to ensure clear, accurate classification protocols.
  • Governance & Compliance: Maintain data provenance, ensure compliance with data governance policies (e.g., GDPR, HIPAA if applicable), and enforce data security measures.
 
Qualifications:
  • Education: Bachelor's or Master's degree in Computer Science, Data Science, Engineering, or a highly quantitative field.
  • Technical Skills:
    • Proficiency in programming languages like Python or SQL.
    • Experience with Big Data tools and cloud platforms (e.g., AWS, GCP, BigQuery).
    • Familiarity with ML frameworks (e.g., PyTorch, Hugging Face).
  • Experience: 3+ years managing large-scale datasets, developing data curation heuristics, and working alongside ML researchers or data scientists.
  • Analytical Mindset: Strong problem-solving skills to identify data quality anomalies, address model biases, and establish evaluation frameworks.
 
What do we provide:
  • A fun, supportive and engaging environment.
  • Infrastructures and computational resources to support your work.
  • Opportunity to work on cutting edge technologies with the top talents in the field.
  • Opportunity to make a significant impact on the transportation revolution by the means of advancing autonomous driving.
  • Competitive compensation package.
  • Snacks, lunches, dinners, and fun activities.
 
The base salary range for this full-time position is $174,720 - $295,680, in addition to bonus, equity and benefits. Our salary ranges are determined by role, level, and location. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position across all US locations. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training.
 
We are an Equal Opportunity Employer. It is our policy to provide equal employment opportunities to all qualified persons without regard to race, age, color, sex, sexual orientation, religion, national origin, disability, veteran status or marital status or any other prescribed category set forth in federal or state regulations.

Apply