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Computer Science Startup Jobsexternal in Los Angeles, CA

Steg.AI

Machine Learning Scientist

Irvine, CA · On-site

$140 - $200/hr

AI is a National Science Foundation (NSF) and investor-funded startup based in Orange County, California. Our machine learning team currently consists of 3 PhDs in Computer Vision.We are looking for ...

Zoo

CAD Graphics Engine Software Engineer

Los Angeles, CA · On-site +1

$150K - $186K/yr

... startup team! What You'll Do * Develop and maintain CAD modeling algorithms (editing brep data ... B.S. in Computer Science or a related field, or equivalent professional experience * Proficiency ...

Zoo

CAD Graphics Engine Software Engineer

Los Angeles, CA · On-site +1

$145K - $195K/yr

... startup team! What You'll Do * Develop and maintain CAD modeling algorithms (editing brep data ... B.S. in Computer Science or a related field, or equivalent professional experience * Proficiency ...

Epsilon3

Software Engineer

Los Angeles, CA · On-site

... computer science concepts (algorithms, data structures, object-oriented programming, design ... Startup & Agile software development methodologies is a plus Company : Epsilon3 is the OS for ...

TRL11, Inc.

Jr Algorithms/Video Engineer

Irvine, CA · On-site

$80 - $150K/hr

Requirements * Bachelor's or higher degree in Computer Science, Data Science, Electrical ... Fast paced, energetic startup culture, where you'll learn a lot, have great impact, and have fun ...

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Computer Science Startup information

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$90K

$110.4K

$146K

How much do computer science startup jobs pay per year?

As of Sep 5, 2026, the average yearly pay for computer science startup in Los Angeles, CA is $110,444.00, according to ZipRecruiter salary data. Most workers in this role earn between $97,000.00 and $123,900.00 per year, depending on experience, location, and employer.

What is a computer science startup?

A Computer Science Startup job typically involves working in a newly founded tech company, focusing on developing innovative software, algorithms, or systems. Employees in these roles often wear multiple hats, including coding, product development, and problem-solving. Startups require adaptability, creativity, and a willingness to work in a fast-paced, evolving environment. Unlike established companies, startups may offer more autonomy and opportunities for rapid career growth but can also come with higher uncertainty.

What are the typical challenges faced in a computer science startup and how can I prepare for them?

Working in a computer science startup often involves managing rapid changes in technology, tight deadlines, and the pressure to deliver innovative solutions with limited resources. Team members frequently wear multiple hats, balancing development, testing, and sometimes even customer support or business planning. To prepare, it’s helpful to stay up-to-date with industry trends, cultivate flexibility in your work style, and strengthen your project management skills. Building a strong network and seeking mentorship within the startup and tech communities can also provide practical support and guidance. Embracing a proactive, problem-solving approach will help you navigate and thrive in this dynamic environment.

What are the key skills and qualifications needed to thrive in a computer science startup, and why are they important?

To succeed in founding or leading a computer science startup, you need a solid background in computer science or software engineering, an entrepreneurial mindset, and experience in product development. Familiarity with programming languages, cloud platforms, and agile development tools, as well as knowledge of industry certifications like AWS Certified Developer or ScrumMaster, can be highly beneficial. Strong skills in communication, problem-solving, adaptability, and leadership are crucial to navigate uncertainties and drive team collaboration. These skills and qualities are vital to innovate effectively, secure investment, and build scalable tech solutions in a highly competitive market.

What are the most commonly searched types of Computer Science Startup jobs in Los Angeles, CA?

The most popular types of Computer Science Startup jobs in Los Angeles, CA are:

What are popular job titles related to Computer Science Startup jobs in Los Angeles, CA?

For Computer Science Startup jobs in Los Angeles, CA, the most frequently searched job titles are:

What job categories do people searching Computer Science Startup jobs in Los Angeles, CA look for?

The top searched job categories for Computer Science Startup jobs in Los Angeles, CA are:

What cities near Los Angeles, CA are hiring for Computer Science Startup jobs?

Cities near Los Angeles, CA with the most Computer Science Startup job openings:

Computer Science Startup jobs near you
Infographic showing various Computer Science Startup job openings in Los Angeles, CA as of August 2026, with employment types broken down into 6% Internship, 88% Full Time, and 6% Contract. Highlights an 94% In-person, and 6% Remote job distribution, with an average salary of $110,444 per year, or $53.1 per hour.

Machine Learning Scientist

Steg.AI

Irvine, CA • On-site

$140 - $200/hr

Other

Posted 18 days ago

Job description

# Machine Learning ScientistIrvine, CA**Full Time — In Office — Irvine, CA**## About Steg.AISteg.AI's mission is to protect and authenticate digital media. We do it by writing software that uses AI technology to watermark digital media. Our watermarks are invisible to humans, but detectable by our proprietary algorithms.Founded in 2019, Steg.AI is a National Science Foundation (NSF) and investor-funded startup based in Orange County, California. Our machine learning team currently consists of 3 PhDs in Computer Vision.We are looking for a highly motivated machine learning scientist with a passion for groundbreaking AI technology for watermarking, steganography, or media provenance.## Job DescriptionYou will work with the machine learning team to design and implement state of the art deep learning algorithms for steganography with digital media (e.g. images, video, etc.), and work with the engineering team to deploy these algorithms to mobile, desktop, and cloud platforms.## Scope of Responsibility* Collaborate with the machine learning team to develop and implement novel steganography algorithms with deep learning* Collaborate with the engineering team to deploy models to customers* Benchmark new models versus older models* Disseminate findings to the team via written reports and oral presentations## Required Qualifications* Expert with PyTorch and training and testing deep learning models* Familiarity with dataset collection/curation for training deep networks* Strong collaboration, communication, and organizational skills## Bonus Qualifications* Familiarity with steganography and watermarking technologies* Familiarity with image/video compression algorithms* Computer Vision/Machine Learning publications in CVPR/ICCV/NeurIPS/etc.* Experience with deploying machine learning models to customers via mobile, desktop, or cloud service platforms## To ApplySend your resume/CV to **careers@steg.ai**Apply now #J-18808-Ljbffr

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