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Data Curation Ai Machine Learning Jobs in California

Adobe

Machine Learning Engineer 5

San Jose, CA · On-site

... data curation through eval. • Build the evaluation datasets, benchmarks, and harnesses that ... Gen AI feature from proof-of-concept to production end-to-end. • MS or PhD or equivalent ...

Masimo

Sr Engineer, AI/Machine Learning

Irvine, CA · On-site

$140K - $170K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

The key focus will be in analyzing data from different sources to discover relationships among ... Develop new advanced algorithms using, machine learning techniques, deep learning models, digital ...

Masimo

Sr Engineer, AI/Machine Learning

Irvine, CA · On-site

$140K - $170K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

The key focus will be in analyzing data from different sources to discover relationships among ... Develop new advanced algorithms using, machine learning techniques, deep learning models, digital ...

Masimo Corporation

Sr Engineer, AI/Machine Learning

Irvine, CA · On-site

$140 - $170/hr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

The key focus will be in analyzing data from different sources to discover relationships among ... Develop new advanced algorithms using, machine learning techniques, deep learning models, digital ...

XPENG

Staff Technical Program Manager

Santa Clara, CA · On-site

$151K - $196K/yr

XPENG is a leading smart technology company at the forefront of innovation, integrating advanced AI ... Understanding of machine learning data workflows, including data curation, annotation, training ...

XPENG

Staff Technical Program Manager

Santa Clara, CA · On-site

$151K - $196K/yr

XPENG is a leading smart technology company at the forefront of innovation, integrating advanced AI ... Understanding of machine learning data workflows, including data curation, annotation, training ...

Apple

Algorithm Evaluation Manager

Sunnyvale, CA · On-site

... architecture of machine learning inference pipelines and underlying infrastructure. Data ... Hands-on experience designing and managing data curation strategies and human-in-the-loop ...

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All JobsData Curation Ai Machine Learning JobsData Curation Ai Machine Learning Jobs in California

Data Curation Ai Machine Learning information

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

To thrive as a Data Curation AI Machine Learning Specialist, you need strong data management skills, a background in computer science or data science, and experience with machine learning principles. Familiarity with programming languages like Python or R, data labeling tools, and database systems, as well as certifications in machine learning or data engineering, are typically required. Attention to detail, critical thinking, and effective communication stand out as essential soft skills for managing complex datasets and collaborating with cross-functional teams. These skills ensure high-quality, well-organized data that drives accurate machine learning models and reliable AI outcomes.

What is a data curation AI machine learning specialist?

A Data Curation AI/Machine Learning specialist is a professional who manages, organizes, and prepares large datasets to be used in artificial intelligence and machine learning projects. They ensure that data is accurate, relevant, and accessible, often cleaning and labeling data so it can be effectively used to train machine learning models. Their role bridges the gap between raw data sources and the teams building AI solutions, enabling more reliable and efficient model development. They may also work with data governance, privacy, and compliance issues to ensure data quality and security.

What are some common challenges faced by data curation professionals working in AI and machine learning projects?

One of the key challenges data curation specialists encounter in AI and machine learning is ensuring the quality and consistency of large, diverse datasets. This often involves dealing with missing, incomplete, or biased data, which can impact model performance. Additionally, data curators must navigate evolving data privacy regulations and work closely with data scientists, engineers, and domain experts to align data preparation with project goals. Effective communication and a meticulous approach are crucial for maintaining data integrity and supporting robust machine learning outcomes.

What is the difference between Data Curation Ai Machine Learning vs Data Analyst?

AspectData Curation Ai Machine LearningData Analyst
Primary FocusPreparing and managing data for AI and ML modelsAnalyzing data to generate business insights
Skills RequiredData management, programming, understanding of AI/ML algorithmsStatistical analysis, data visualization, Excel, SQL
Tools UsedPython, R, SQL, data cleaning toolsExcel, Tableau, SQL, statistical software
Work EnvironmentData science teams, AI/ML projects, tech companiesBusiness departments, analytics teams, consulting firms

While Data Curation Ai Machine Learning specialists focus on preparing data for AI and machine learning models, Data Analysts interpret data to support business decisions. Both roles require strong data skills but differ in their primary objectives and tools used.

What are popular job titles related to Data Curation Ai Machine Learning jobs in California?

For Data Curation Ai Machine Learning jobs in California, the most frequently searched job titles are:

What job categories do people searching Data Curation Ai Machine Learning jobs in California look for?

The top searched job categories for Data Curation Ai Machine Learning jobs in California are:

What cities in California are hiring for Data Curation Ai Machine Learning jobs?

Cities in California with the most Data Curation Ai Machine Learning job openings:

Data Curation Ai Machine Learning jobs near you
Infographic showing various Data Curation Ai Machine Learning job openings in California as of August 2026, with employment types broken down into 10% Internship, 69% Full Time, and 21% Contract. Highlights an 100% In-person job distribution.

Senior Staff Machine Learning Engineer - Autonomous Driving Foundation Models

XPENG

Santa Clara, CA • On-site

$122K - $168K/yr

Full-time

Re-posted 2 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.
 
The Mission: We are building the next generation of L4 autonomous vehicles. Moving beyond traditional modular stacks, we are developing large-scale Vision-Language-Action (VLA) models and World Models to handle the infinite long-tail scenarios of global driving. As a Senior Staff Machine Learning Engineer, you will architect the transition from behavior cloning to intelligent, zero-shot decision-making in diverse global markets.
 
Key Responsibilities:
  • Architectural Leadership: Lead the design of end-to-end VLA architectures, bridging multi-modal perception with high-level linguistic reasoning and precise action generation.
  • World Model Development: Drive R&D in generative world models (latent dynamics) to create high-fidelity, controllable driving simulations for closed-loop training and evaluation.
  • Policy Evolution: Apply Advanced RL (Online/Offline) and IL to refine driving policies, focusing on long-horizon planning and complex multi-agent interactions.
  • Scaling & Data Strategy: Define scaling laws for driving foundation models, overseeing data curation, automated labeling, and post-training at a multi-billion parameter scale.
  • Global Generalization: Lead the model's adaptation strategy for overseas road conditions, ensuring robust performance across varying traffic laws and driving cultures.
Qualifications:
  • 5-8 years of expertise in Deep Learning, with a significant track record in VLM, VLA, or Embodied AI.
  • Proven experience in training and deploying Foundation Models (Transformers, LLMs) at scale.
  • Deep understanding of Sequential Decision Making, World Models, or Policy Gradient methods.
  • Mastery of PyTorch and expertise in distributed training (DeepSpeed, Megatron, etc.).
  • A "Product-First" mindset: The ability to balance cutting-edge research with the deterministic requirements of L4 production vehicles.
What do we provide:
  • A fun, supportive and engaging environment
  • Infrastructures and computational resources to support your ML model development/research.
  • Opportunity to work on cutting edge technologies with the top talent in the field.
  • Opportunity to make significant impact on 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 $244,140-$413,160, 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.

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