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Computer Vision Deep Learning Engineer Jobs in California

XPENG

Senior Computer Vision Engineer

Santa Clara, CA · On-site

$143.80K - $189.60K/yr

We are seeking a talented Computer Vision / Machine Learning Engineer to develop and optimize multi ... with deep learning frameworks (e.g., PyTorch, TensorFlow) and computer vision libraries (e.g ...

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Computer Vision Deep Learning Engineer information

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$47.9K

$119.9K

$135.7K

How much do computer vision deep learning engineer jobs pay per year?

As of May 30, 2026, the average yearly pay for computer vision deep learning engineer in California is $119,924.00, according to ZipRecruiter salary data. Most workers in this role earn between $110,000.00 and $129,800.00 per year, depending on experience, location, and employer.

What is a Computer Vision Deep Learning Engineer job?

A Computer Vision Deep Learning Engineer designs, develops, and optimizes deep learning models for tasks like image recognition, object detection, and segmentation. They work with large datasets, train neural networks, and fine-tune models to achieve high accuracy. The role involves using frameworks like TensorFlow or PyTorch, implementing computer vision algorithms, and deploying models for real-world applications. Strong programming skills in Python and experience with deep learning techniques are essential.

What are the key skills and qualifications needed to thrive in the Computer Vision Deep Learning Engineer position, and why are they important?

To thrive as a Computer Vision Deep Learning Engineer, you need a strong background in machine learning, computer vision, mathematics, and programming (usually Python or C++), often supported by a relevant degree such as computer science, electrical engineering, or a related field. Experience with frameworks like TensorFlow, PyTorch, OpenCV, and familiarity with cloud computing environments or GPU acceleration are typically essential, with additional value from certifications in AI or deep learning. Strong problem-solving abilities, teamwork, and clear communication are valuable soft skills for collaborating on complex research and product development projects. These skills and qualifications ensure effective design, implementation, and integration of state-of-the-art computer vision solutions within multidisciplinary teams and real-world applications.

What are some typical challenges faced by Computer Vision Deep Learning Engineers in their daily work?

Computer Vision Deep Learning Engineers often face challenges such as handling large, complex datasets, tuning deep learning models to achieve high accuracy, and optimizing processing speed for real-time applications. They may encounter difficulties with noisy or incomplete data, require advanced troubleshooting when models underperform, and must stay updated with rapid advancements in the field. Collaboration with data scientists, software engineers, and product teams is common, so balancing technical depth with effective communication is key. Overcoming these challenges requires strong analytical skills, continuous learning, and a proactive problem-solving mindset.
More about Computer Vision Deep Learning Engineer jobs
What are the most commonly searched types of Computer Vision Deep Learning Engineer jobs in California? The most popular types of Computer Vision Deep Learning Engineer jobs in California are:
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What job categories do people searching Computer Vision Deep Learning Engineer jobs in California look for? The top searched job categories for Computer Vision Deep Learning Engineer jobs in California are:
What cities in California are hiring for Computer Vision Deep Learning Engineer jobs? Cities in California with the most Computer Vision Deep Learning Engineer job openings:
Computer Vision Deep Learning Engineer jobs near you
Infographic showing various Computer Vision Deep Learning Engineer job openings in California as of May 2026, with employment types broken down into 3% As Needed, 95% Full Time, 1% Part Time, and 1% Contract. Highlights an 84% Physical, 2% Hybrid, and 14% Remote job distribution, with an average salary of $119,924 per year, or $57.7 per hour.
Sr Machine Learning Engineer - Safety Experience

Sr Machine Learning Engineer - Safety Experience

Roblox

San Mateo, CA

Other

Posted 28 days ago

Job description

The Rights Manager team and the Content Suitability team that are part of our Safety Experience are looking to hire a Sr Machine Learning Engineer for their respective teams.

The Safety Experience organization builds the tools and systems that give Roblox Users and Creators control over their experience and empower moderators to enforce our community standards. These teams focus on education, intervention, visibility, and action.

We focus on:

  • Monitoring and influencing user behavior (User Safety)
  • Building efficient and scalable moderation platforms (Foundation)
  • Providing transparency and education for parents and developers (User Safety)
  • Giving users agency in managing their own safety (User Safety)
  • Give IP owners the ability to manage their creations on Roblox (Rights & Guidelines)
  • Providing users fast and accurate support with the Customer Care Chatbot (Customer Care)

You will:

  • Work on implementation of machine learning solutions for safety-related systems
  • Help to foster a culture of technical excellence and inclusivity
  • Break down long-term product requirements into iterative deliverable stages, ensuring continuous improvement
  • Craft and build large-scale machine learning models with billions of parameters, ensuring production-readiness
  • Facilitate challenging technical decisions, demonstrating empathy and finding common understanding
  • Collaborate with cross-functional teams to execute on ML-based problems

You have:

  • MS or PhD degree + 2+ years of experience in Computer Vision, Deep Learning, or a related field. You have solid fundamentals in Computer Vision and Deep Learning.
  • Experience with the full ML lifecycle, including training, deployment, and continuous monitoring.
  • Experience with similarity detection and/or digital watermarking. This includes work on developing and re-training embedding models, including multi-modal models
  • Strong coding skills with proficiency in one or more programming languages and experience with building large-scale systems

You are:

  • Experienced in the safety, integrity, or content moderation domain.
  • Familiar with large-scale content understanding problems (e.g., text, image, video classification).
  • Experienced with cloud-based ML platforms and infrastructure.

Apply