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Data Engineer Ml Jobs in California (NOW HIRING)

Liftoff

Software Engineer, ML Data

San Francisco, CA · On-site

$180K - $230K/yr

As a Software Engineer on the Machine Learning Data Platform team at Liftoff, you will: * Work with an experienced team of ML, Software, and Infrastructure Engineers that are building the ML platform ...

Liftoff

Software Engineer, ML Data

San Francisco, CA · On-site

$180K - $230K/yr

As a Software Engineer on the Machine Learning Data Platform team at Liftoff, you will: * Work with an experienced team of ML, Software, and Infrastructure Engineers that are building the ML platform ...

E-Solutions, Inc.

Data Engineer - AI/ML

San Jose, CA · On-site

Data Engineer - AI/ML Location: San Jose, CA Duration: 12+ Month Long-Term Contract -W2 GC-EAD,TN,OPT Required Qualifications Experience: 3+ years of professional experience building and deploying ...

Reveille Technologies

Data Engineer

Sunnyvale, CA · On-site

$136K - $163K/yr

AI ML Data Engineer Location : Sunnyvale, CA (3 days work from office) Minimum 6 to 12 years of experience as data engineer in AI ML. * Snowflake and Python/Scala/Java * SQL, No SQL database, Hadoop ...

Procore

Staff ML Data Engineer (Datagrid)

San Francisco, CA · On-site

$134K - $162K/yr

We're looking for a Staff ML Data Engineer to join Procore's AI & Frontier Models organization. In this role, you'll be responsible for designing and building the data systems that power frontier ...

Procore

Staff ML Data Engineer (Datagrid)

San Francisco, CA · On-site

$134K - $162K/yr

We're looking for a Staff ML Data Engineer to join Procore's AI & Frontier Models organization. In this role, you'll be responsible for designing and building the data systems that power ...

Procore

Staff ML Data Engineer (Datagrid)

San Francisco, CA · On-site

$134K - $162K/yr

We're looking for a Staff ML Data Engineer to join Procore's AI & Frontier Models organization. In this role, you'll be responsible for designing and building the data systems that power ...

Apple

Senior ML Data Engineer, MLO

Cupertino, CA · On-site

$68.75 - $91/hr

Minimum Qualifications 7+ years of industry experience as a data engineer serving various ML applications (vision domain preferred) Bachelor's degree in Computer Science or related field Preferred ...

Procore

Staff ML Data Engineer (Datagrid)

San Francisco, CA · On-site

$134K - $162K/yr

We're looking for a Staff ML Data Engineer to join Procore's AI & Frontier Models organization. In this role, you'll be responsible for designing and building the data systems that power ...

Cypress HCM

Data Engineer

Mountain View, CA · On-site

$70 - $95/hr

Work in a scrum team with ML & Cloud Engineers Requirements : * Hand-on experience in Big Data technologies like Apache Iceberg, Spark, Spark ML, & Kafka * Strong skills in statistical analysis ...

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Data Engineer Ml information

What does a data engineer ML do?

A Data Engineer ML (Machine Learning) is responsible for designing, building, and maintaining the data pipelines and infrastructure necessary for machine learning applications. They clean, process, and organize large datasets to ensure data quality and accessibility for data scientists and ML engineers. In addition, they may work on deploying machine learning models to production environments and optimizing data workflows for efficiency and scalability.

What are the key skills and qualifications needed to thrive as a data engineer ML?

To thrive as a Data Engineer ML, you need strong programming skills (especially in Python or Scala), knowledge of data modeling, and a solid foundation in database technologies, typically supported by a degree in computer science or a related field. Familiarity with big data frameworks (like Spark or Hadoop), cloud platforms (AWS, GCP, or Azure), and ETL tools, as well as relevant certifications, is highly beneficial. Excellent problem-solving abilities, teamwork, and clear communication help you collaborate with data scientists and stakeholders effectively. These skills are essential for building robust data pipelines and infrastructure that enable scalable, high-quality machine learning solutions.

How do data engineer ML roles typically collaborate with data scientists and machine learning engineers on projects?

Data Engineer ML professionals work closely with data scientists and machine learning engineers by building and maintaining robust data pipelines, ensuring clean and reliable datasets are readily available for modeling and analysis. They often participate in meetings to understand model requirements, help optimize data storage for performance, and support the deployment of machine learning models into production environments. Effective collaboration involves continuous communication to troubleshoot data issues, implement data validation, and scale solutions as project needs evolve. This teamwork ensures that data-driven projects move efficiently from experimentation to deployment.

What is the difference between Data Engineer Ml vs Data Scientist?

AspectData Engineer MlData Scientist
Required CredentialsBachelor's in CS, Data Engineering certificationsBachelor's/Master's in CS, Data Science certifications
Work EnvironmentBuilding data pipelines, managing databasesAnalyzing data, creating models
Employer & Industry UsageTech companies, finance, healthcareResearch institutions, tech firms, finance

Data Engineer Ml focuses on developing and maintaining data infrastructure and pipelines, while Data Scientists analyze data and build predictive models. Both roles often collaborate but serve different functions within data teams.

What are popular job titles related to Data Engineer Ml jobs in California?

For Data Engineer Ml jobs in California, the most frequently searched job titles are:

What job categories do people searching Data Engineer Ml jobs in California look for?

The top searched job categories for Data Engineer Ml jobs in California are:

What cities in California are hiring for Data Engineer Ml jobs?

Cities in California with the most Data Engineer Ml job openings:

Data Engineer Ml jobs near you
Infographic showing various Data Engineer Ml job openings in California as of August 2026, with employment types broken down into 1% As Needed, 81% Full Time, 13% Part Time, and 5% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution.

Software Engineer, ML Data

Liftoff

San Francisco, CA • On-site

$180K - $230K/yr

Full-time

Dental, Vision

Re-posted 13 days ago

Job description

About the team:

With our success over the past 10 years, we are ready to move beyond our current technologies and build the next generation ML Platform to align with our current business needs as we continue to grow. Currently using a custom setup, we handle 1.5 billion ML inferences per second, every day. We are now building a new ML platform to support neural networks at that scale to increase the intelligence of our models. 

As a Software Engineer on the Machine Learning Data Platform team at Liftoff, you will:
  • Work with an experienced team of ML, Software, and Infrastructure Engineers that are building the ML platform for Liftoff
  • Design, engineer & implement reliable, scalable, and cost-efficient systems to support data lake infrastructure, dataset generation, model training infrastructure, analytics, reporting and monitoring infrastructure
  • Deliver business results by enabling next generation ML models and technologies
  • Utilize vendor-based products (AWS, Weight & Biases, etc.), open-source technologies (PyTorch, PySpark, Trino, Hive, Iceberg, Clickhouse, etc.) and in-house tooling
Desired qualities and experience:
  • Very strong coding ability in Python and Golang.
  • Strong core CS fundamentals (data structures, algorithms, architecting systems)
  • 6+ years of industry experience
  • Experience with Spark is a plus.
  • Experience working in a high-growth startup atmosphere is a plus 
  • Experience building Machine Learning tooling or platforms, in particular when applied to large-scale problems, is a big plus
  • A passion for quality and excellence, and the ability to temper it when necessary to ship

Location:
This role is eligible for hybrid work, 2 days per week in one of our Bay Area offices in Redwood City or San Francisco.

Travel Expectations:

We offer several opportunities for in-person team gatherings, including but not limited to project meetings, regional meetups, and company-wide events. We expect our employees to attend these gatherings at least once per quarter. These gatherings provide essential opportunities for collaboration, communication, and team building.

Compensation:

Liftoff offers all employees a full compensation package that includes equity and health/vision/dental benefits associated with your country of residence. Base compensation will vary based on the candidate's location and experience.

The following are our base salary ranges for this role: 

  • SF Bay Area: $180,000 - $230,000

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