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Temporary Computer Vision Engineer Jobs in Hawthorne, CA

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 ...

Support computer vision and AI-related automation initiatives, including pilots and trials ... Industrial Engineering, Systems Engineering or Mechanical Engineering is preferred. * 4 years of ...

Support computer vision and AI-related automation initiatives, including pilots and trials ... Industrial Engineering, Systems Engineering or Mechanical Engineering is preferred. * 4 years of ...

Support computer vision and AI-related automation initiatives, including pilots and trials ... Industrial, System Engineering or Mechanical Engineering is preferred. * 2 years of work experience ...

You'll build intelligent systems that power personalization, content generation, computer vision, and decision automation. We're looking for a hands-on AI Engineer who loves to build. You'll design ...

The Project Engineer will support multiple strategic and tactical projects related to parcel ... Support computer vision and AI-related automation initiatives, including pilots and trials ...

Machine Learning Engineer

Torrance, CA · On-site

$160K - $250K/yr

... computer vision, and machine learning can meaningfully augment or automate complex engineering ... judgment. As a Senior Machine Learning Engineer, you will play a key role in designing, building ...

... computer vision, and machine learning can meaningfully augment or automate complex engineering ... judgment. As a Senior Machine Learning Engineer, you will play a key role in designing, building ...

Showing results 41-60

Temporary Computer Vision Engineer information

See Hawthorne, CA salary details

$49.3K

$123.5K

$139.8K

How much do temporary computer vision engineer jobs pay per year?

As of Aug 8, 2026, the average yearly pay for temporary computer vision engineer in Hawthorne, CA is $123,540.00, according to ZipRecruiter salary data. Most workers in this role earn between $113,400.00 and $133,700.00 per year, depending on experience, location, and employer.

Are temporary computer vision engineers in demand?

Temporary computer vision engineers are in demand due to the growing adoption of AI and machine learning across industries such as healthcare, automotive, and retail. Skills in deep learning frameworks like TensorFlow or PyTorch and experience with image processing increase employability in this field. The demand for contract roles often correlates with project-based needs and technological advancements.
What are the most commonly searched types of Computer Vision Engineer jobs in Hawthorne, CA? The most popular types of Computer Vision Engineer jobs in Hawthorne, CA are:
What job categories do people searching Temporary Computer Vision Engineer jobs in Hawthorne, CA look for? The top searched job categories for Temporary Computer Vision Engineer jobs in Hawthorne, CA are:
What cities near Hawthorne, CA are hiring for Temporary Computer Vision Engineer jobs? Cities near Hawthorne, CA with the most Temporary Computer Vision Engineer job openings:

Senior Backend Software Engineer

Otter

Los Angeles, CA • On-site

$167K - $230K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 27 days ago


Job description

Who we are
In the past, to be a successful restaurateur, you simply had to have a passion for food and a passion for people - but to succeed as a digital restaurateur you also need to have a passion for technology. We believe in the joy of serving others, and that's why we created Otter - to help restaurateurs succeed in online food delivery. Restaurants around the world, both large and small, including Chick-fil-A, Ben & Jerry's, KFC, and Eataly trust our software to power their delivery business. We increase sales, reduce order issues, and decrease delivery headaches.
What you'll do
As a Backend Engineer on the Otter Verify team, you will design, implement, and scale the core infrastructure powering our real-time edge computer vision product. This role sits at an intersection of real-time compute, large scale data streaming, and physical hardware.
We are looking for strong product-minded or infrastructure-focused backend engineers. While our domain involves edge computing and computer vision, you do not need to be an expert in those fields today. If you are a backend generalist who loves solving complex scaling problems, designing robust APIs, and learning new technologies, this will be an exciting project for you.
Core Responsibilities
  • Design and implement robust, high-throughput edge services and APIs capable of handling large volumes of real-time data.
  • Optimize backend systems for low latency, high reliability, and efficient resource utilization.
  • Help bridge the gap between our cloud infrastructure and physical edge devices.
  • Work closely with other engineering teams to deploy and scale production-ready systems.
  • Maintain high code quality through testing, code reviews, and robust system monitoring.

What we're looking for
  • Basic Qualifications
    • Strong production experience designing, building, and maintaining scalable distributed systems and robust APIs.
    • Our stack heavily utilizes Java and Python, but we care more about your engineering fundamentals than the specific languages you've used.
    • Familiarity with relational and/or NoSQL databases (e.g., PostgreSQL, MongoDB, Redis)
    • Debugging, system design, and architectural thinking skills.
    • A strong desire to dive into new domains like edge computing, Linux-based systems, and computer vision pipelines.

    Preferred Qualifications
    • Any background or interest in IoT, hardware integration, or deploying computer vision/ML models.
    • Familiarity with Linux-based environments or containerization (Docker, Kubernetes).
    • Experience with message brokers or streaming tools (e.g., Kafka, RabbitMQ, MQTT) for real-time data.
    • Exposure to cloud platforms (AWS, GCP, or Azure).

Why join us
  • Demand for online food delivery is growing really fast! In the last 5 years, just in the US, the overall market has expanded 10X from $10B to $100B, and could expand to $500bn- $1T by 2030.
  • Changing the restaurant industry: You'll be part of a team that helps restaurants succeed in online food delivery.
  • Collaborative environment: You will receive support and guidance from experienced colleagues and managers, helping you to learn, grow and achieve your goals, and you'll work closely with other teams to ensure our customer's success.

What else you need to know
This role is based in our Los Angeles office. As a company driven by innovation and continuous change, close collaboration is essential. We're constantly reimagining our industry, creating new products, and refining our processes, and we do our best work together. That's why all of our office-based teams work onsite, five days a week.
The base salary range for this role is $167,000 - $230,000 per year.
Actual compensation will be determined on an individual basis and may vary depending on experience, skills, and qualifications.
Base salary is just one part of your total rewards package. You may also be eligible for equity awards and an annual performance-based bonus.
Benefits Summary (USA Full-Time Exempt Employees):
  • Medical, dental, and vision insurance (multiple plans, incl. HSA options)
  • Company-paid life and disability insurance (short- and long-term)
  • Voluntary insurance: accident, critical illness, hospital indemnity
  • Optional supplemental life insurance for self, spouse, and children
  • Pet insurance discount
  • 401(k)
  • Health Savings Account (HSA)
  • Flexible Spending Accounts (Healthcare, Dependent Care, Commuter)
  • Time Off policies:
    • Discretionary vacation days
    • 8 paid holidays per year
    • Paid sick time
    • Paid Bereavement leave
    • Paid Parental Leave

Benefits are subject to change at the company's discretion.
Atoms accepts applications on an ongoing basis.
Ready to join us as we serve those who serve others?
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