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Middle Class Jobs in California (NOW HIRING)

XPENG is a leading Chinese Smart EV company that designs, develops, manufactures, and markets Smart EVs that appeal to the large and growing base of technology-savvy middle-class consumers. Founded ...

XPENG is a leading Chinese Smart EV company that designs, develops, manufactures, and markets Smart EVs that appeal to the large and growing base of technology-savvy middle-class consumers. Founded ...

Use hands-on methods, movement, and projects that stick long after class ends * Teach life skills ... to middle schoolers this age group lights you up, not wears you out Can connect a fraction to a ...

Bel Aire School - grades 3, 4 and 5; and Del Mar Middle School - grades 6, 7 and 8. District enrollment is approximately 1,050 students, with class size averaging typically 23-24 students. RUSD ...

Middle School Science Teacher

San Jose, CA · On-site

$53K - $70K/yr

Middle School Science Teacher at Escuela Popular Share on X Print Application Deadline Until Filled ... class offerings, and services to meet the increasing need. By 2002, EP achieved independence and ...

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Middle Class information

See California salary details

$5

$22

$27

How much do middle class jobs pay per hour?

As of Jun 30, 2026, the average hourly pay for middle class in California is $22.78, according to ZipRecruiter salary data. Most workers in this role earn between $20.62 and $25.38 per hour, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Middle School Teacher, and why are they important?

To thrive as a Middle School Teacher, you need a strong grasp of subject matter, classroom management skills, and a teaching certification or relevant degree. Familiarity with learning management systems, educational technology tools, and standardized assessment platforms is often required. Excellent communication, patience, and the ability to motivate and engage adolescents are standout soft skills in this role. These skills and qualifications are crucial for fostering a positive learning environment and effectively supporting student academic and personal growth.

What are examples of middle class workers?

Middle class workers include professionals such as teachers, nurses, office managers, and skilled tradespeople like electricians and plumbers. These roles typically require post-secondary education or specialized training and offer moderate income levels that fall between lower and upper income brackets.

What are some common challenges faced by professionals working in middle management positions?

Professionals in middle management roles often face the challenge of balancing expectations from both upper management and their direct reports. They are responsible for translating strategic directives into actionable plans while also advocating for their team's needs. Effective communication, time management, and conflict resolution are crucial, as middle managers frequently mediate between different departments and ensure projects stay on track. Navigating organizational change and maintaining team morale are also common aspects of the role.

What is the best job for middle class?

The best jobs for the middle class typically include roles such as administrative managers, teachers, healthcare professionals, and skilled trades like electricians or plumbers. These positions often offer stable salaries, benefits, and opportunities for advancement, requiring relevant education, certifications, or experience. Job stability and earning potential vary based on industry and location.

Are you middle class if you make $100,000 a year?

Middle class status varies by location and household size, but in many regions, earning $100,000 annually generally places a household within the middle class income range. Factors such as cost of living, family expenses, and local income distributions influence this classification. For job seekers, understanding regional economic standards can help assess income expectations accurately.

What is the difference between Middle Class vs Customer Service Representative?

AspectMiddle ClassCustomer Service Representative
Required CredentialsHigh school diploma or equivalent; some roles may require associate degreesHigh school diploma or equivalent; on-the-job training
Work EnvironmentVaries from office settings to retail or service industriesCall centers, retail stores, or online support
Industry UsageBroad socioeconomic class, not industry-specificCustomer service across multiple industries like retail, telecom, and banking

The comparison between Middle Class and Customer Service Representative highlights that the middle class is a socioeconomic group, whereas a customer service representative is a specific job role within various industries. While both may require similar educational backgrounds, their work environments and industry applications differ significantly. Understanding these distinctions helps clarify career paths and socioeconomic classifications.

What does 'middle class' mean?

The term 'middle class' refers to a social and economic group that falls between the working class and the upper class. Members of the middle class typically have moderate incomes, stable employment, and may have some level of higher education. They often work in professional, managerial, or administrative jobs and are able to afford a comfortable standard of living, including home ownership, discretionary spending, and savings. The exact definition of 'middle class' can vary depending on the country, region, and economic context.

What jobs are in the middle class?

Middle-class jobs typically include roles such as teachers, nurses, administrative managers, skilled tradespeople, and office workers. These positions often require a college degree or specialized training and offer salaries that fall within the middle-income range, providing stability and benefits.
What cities in California are hiring for Middle Class jobs? Cities in California with the most Middle Class job openings:
Infographic showing various Middle Class job openings in California as of June 2026, with employment types broken down into 4% As Needed, 53% Full Time, 25% Part Time, 2% Temporary, 14% Contract, and 2% Nights. Highlights an 88% Physical, 3% Hybrid, and 9% Remote job distribution, with an average salary of $47,379 per year, or $22.8 per hour.

Staff Machine Learning Engineer

XPENG

Santa Clara, CA • On-site

Full-time

Posted 6 days ago


Key responsibilities

  • Develop and improve 2D traffic sign detection models for autonomous driving perception systems.

  • Prepare, clean, curate, and analyze training and evaluation datasets for traffic sign recognition model iteration.

  • Build and maintain evaluation pipelines for traffic sign recognition models, including offline metrics, scenario-based evaluation, regression testing, and error analysis.


Job description

Job Summary:
XPENG is a leading smart technology company at the forefront of innovation, integrating advanced AI and autonomous driving technologies into its vehicles. They are seeking a Staff Machine Learning Engineer to work on Traffic Sign Recognition model development for autonomous driving systems, responsible for improving model performance and collaborating with various teams.
Responsibilities:
• Develop and improve 2D traffic sign detection models for autonomous driving perception systems.
• Analyze TSR-related scenarios and failure cases, including missed detections, false positives, occlusions, small objects, rare signs, region-specific signs, and adverse weather or lighting conditions.
• Prepare, clean, curate, and analyze training and evaluation datasets for TSR model iteration.
• Design and execute model training experiments, including data sampling, augmentation, loss tuning, class imbalance handling, and hard-case mining.
• Build and maintain evaluation pipelines for TSR models, including offline metrics, scenario-based evaluation, regression testing, and error analysis.
• Collaborate with data teams to define mining strategies for long-tail TSR scenarios and improve dataset coverage.
• Optimize models for production deployment, including ONNX / TensorRT / quantization / inference acceleration.
• Work with deployment and platform teams to validate model performance on onboard or edge compute platforms.
• Track model performance across versions and support continuous improvement through data-model-evaluation feedback loops.
• Debug issues across the full stack, including data quality, labeling, model behavior, evaluation mismatch, and deployment consistency.
Qualifications:
Required:
• Master’s, or PhD degree in Computer Science, Electrical Engineering, Robotics, Computer Vision, Machine Learning, or a related field.
• 3-5 years of strong hands-on experience with computer vision models, especially object detection.
• Experience with detection architectures such as YOLO, Faster R-CNN, DETR/Deformable DETR, RT-DETR, RTMDet, or similar models.
• Proficiency in Python and deep learning frameworks such as PyTorch or TensorFlow.
• Solid understanding of object detection training workflows, including dataset preparation, augmentation, loss functions, evaluation metrics, and model debugging.
• Experience with common detection metrics such as mAP, precision/recall, false positive/false negative analysis, and class-level performance breakdown.
• Strong data analysis and problem-solving skills.
• Ability to work cross-functionally with model, data, infrastructure, and deployment teams.
Preferred:
• Experience in autonomous driving, ADAS, robotics, or safety-critical perception systems.
• Experience with traffic sign recognition, traffic light recognition, road object detection, or small-object detection.
• Familiarity with long-tail scenario mining, hard negative mining, class imbalance handling, and dataset curation.
• Experience with ONNX, TensorRT, model quantization, C++ inference pipelines, CUDA, or edge deployment.
• Experience debugging training-to-deployment consistency issues, including preprocessing mismatch, postprocessing mismatch, quantization accuracy drop, or runtime performance bottlenecks.
• Familiarity with large-scale data pipelines, scenario tagging, or automated data mining workflows.
• Strong engineering discipline in experiment tracking, reproducibility, regression testing, and model version management.
Company:
XPENG is a leading Chinese Smart EV company that designs, develops, manufactures, and markets Smart EVs that appeal to the large and growing base of technology-savvy middle-class consumers. Founded in 2014, the company is headquartered in Guangzhou, CHN, with a team of 10001+ employees. The company is currently Late Stage.