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Contract Computer Vision Deep Learning Engineer Jobs in Long Beach, CA

Adapt Talent

TLM - Computer Vision

Los Angeles, CA · On-site

$19.75 - $26.25/hr

Masters or PhD in computer science, mathematics, engineering with 5 years of related working ... Advanced research and development experience in computer vision/deep learning (preferring ...

Hadrian

Machine Learning Engineer

Los Angeles, CA · On-site

... deep learning experience • 5+ years of experience in Computer Vision and/or Machine Learning ... software engineering skills and prior web development experience using Javascript/TypeScript or ...

HADRIAN

Machine Learning Engineer

Los Angeles, CA

$250K/yr

Bachelors in Computer Science, Electrical Engineering, Mechanical Engineering (or similar discipline), or an equivalent amount of deep learning experience * 5+ years of experience in Computer Vision ...

Voxelcloud

Machine Learning Engineer

Los Angeles, CA · On-site

MS degree in computer science, engineering, or mathematics * 2-3 years of relevant experience in building deep learning solutions for computer vision problems * Proficient with at least one major ...

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All JobsContract Computer Vision Deep Learning Engineer JobsContract Computer Vision Deep Learning Engineer Jobs in Long Beach, CA

Contract Computer Vision Deep Learning Engineer information

See Long Beach, CA salary details

$51K

$127.8K

$144.6K

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

As of Jun 25, 2026, the average yearly pay for contract computer vision deep learning engineer in Long Beach, CA is $127,770.00, according to ZipRecruiter salary data. Most workers in this role earn between $117,200.00 and $138,300.00 per year, depending on experience, location, and employer.
What are popular job titles related to Contract Computer Vision Deep Learning Engineer jobs in Long Beach, CA? For Contract Computer Vision Deep Learning Engineer jobs in Long Beach, CA, the most frequently searched job titles are:
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Contract Computer Vision Deep Learning Engineer jobs near you
Infographic showing various Contract Computer Vision Deep Learning Engineer job openings in Long Beach, CA as of June 2026, with employment types broken down into 65% Full Time, 31% Part Time, 2% Contract, and 2% Nights. Highlights an 87% Physical, 2% Hybrid, and 11% Remote job distribution, with an average salary of $127,770 per year, or $61.4 per hour.
Sr. Computer Vision Engineer (Deep Learning)

Sr. Computer Vision Engineer (Deep Learning)

Harbinger

Garden Grove, CA • On-site

$180K - $240K/yr

Other

Medical, Dental, Vision, Retirement, PTO

Posted 11 days ago

Job description

Sr. Computer Vision Engineer (Deep Learning)

Mountain View, CA

Harbinger is an American commercial electric vehicle (EV) company on a mission to transform an industry starving for innovation. Harbinger's best-in-class team of EV, battery, and drivetrain experts have pooled their deep experience to bring a first-of-its-kind EV platform to support the growing demand for medium-duty EVs and Hybrids. Harbinger: Familiar Form, Revolutionary Foundation.

We are seeking a highly skilled Senior Deep Learning Engineer to drive the development and deployment of advanced perception models for Advanced Driver Assistance Systems (ADAS). The successful candidate will play a key role in designing cutting-edge neural network architectures, optimizing model performance, and ensuring reliable deployment on embedded platforms. This position requires a balance of deep technical expertise, strong analytical thinking, and cross-functional collaboration. This role would sit in Mountain View, CA with PhantomAI, Harbinger's ADAS division.

Responsibilities
  • Design and implement advanced deep learning architectures to enhance perception capabilities within ADAS systems.
  • Maintain and continuously improve existing models by optimizing performance, addressing issues, and refining architecture and algorithms.
  • Perform detailed root cause analysis of production issues and develop sustainable, high-quality solutions.
  • Optimize model performance with a focus on latency, efficiency, and resource utilization for real-time embedded deployment.
  • Integrate and validate deep learning algorithms on automotive-grade hardware and embedded SoCs.
  • Collaborate closely with data engineering, data annotation, and platform engineering teams to ensure smooth data flow and seamless model integration.
  • Provide regular updates and technical reports on model development, maintenance progress, and performance metrics to management.
Required Qualifications
  • 5+ years of professional experience developing, training, validating, and deploying deep learning-based perception models for ADAS or related computer vision applications.
  • In-depth understanding of training and inference pipelines, including data loading, augmentation, and loss function design.
  • Advanced degree (M.S. or Ph.D.) in Computer Vision, Robotics, Machine Learning, or a closely related discipline, or equivalent industry experience.
  • Strong proficiency in Python and a deep understanding of software design principles and development best practices.
  • Expertise in PyTorch (preferred) or TensorFlow for large-scale model development and experimentation.
  • Practical experience with data pipelines, distributed training, and machine learning experiment management tools.
  • Proven ability to work effectively in a collaborative, cross-functional team environment.
Preferred Qualifications
  • Comprehensive understanding of machine learning algorithms, including classification, regression, and clustering methods.
  • Experience deploying and optimizing models for embedded or automotive SoCs (e.g., NVIDIA Drive, TI TDA4, Qualcomm Snapdragon).
  • Proficiency in model optimization techniques such as quantization, pruning, and knowledge distillation.
  • Doctorate (Ph.D.) in Computer Science, Artificial Intelligence, or related field is a plus.
  • Strong programming experience in Python and/or C++ within Linux development environments.
  • Familiarity with automotive perception workflows, datasets, and evaluation frameworks (e.g., KITTI, Waymo, Euro NCAP)

Key Benefits & Perks: Comprehensive Health, Dental & Vision (HDV) – 100% employee covered Early-stage Stock Options Robust Retirement Savings (401k, HSA, FSA) Generous Paid Time Off (PTO) & Parental Leave Annual Vacation Bonus Wellness & Fertility Benefits Cell Phone Stipend Complimentary Meals & Stocked Kitchens

$180,000 - $240,000 USD

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