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Associate In Computer Science Jobs in Napa, CA (NOW HIRING)

DEUNA

Data Science intern

San Francisco, CA · On-site

Currently pursuing a Bachelor's or Master's degree in: * Computer Science * Data Science * Statistics * Mathematics * Engineering * Economics * Physics * Or a related quantitative field. We may use ...

DEUNA

Data Science intern

San Francisco, CA

Currently pursuing a Bachelor's or Master's degree in: * Computer Science * Data Science * Statistics * Mathematics * Engineering * Economics * Physics * Or a related quantitative field. We may use ...

Intology

Research Scientist

San Francisco, CA · On-site

PhD or equivalent research experience in Computer Science, Machine Learning, Artificial Intelligence, or a related field. Exceptional candidates with strong research contributions are encouraged to ...

Jobsbridge

Cloud Architect

San Francisco, CA

$76.50 - $97.50/hr

S. in Computer Science, Engineering, or Information Technology, or military experience - At least 6 years- experience in systems architecture - At least 4 years- Open-Source Software tools and ...

Incorporan.Inc

Salesforce Developer

San Francisco, CA · On-site

$65.50 - $86.50/hr

... degree in computer science or equivalent experience DESIRED SKILLS -- Active Salesforce Certified Platform Developer I (401) certification -- Active Oracle Certified Java Associate Programmer ...

Incorporan.Inc

Salesforce Developer

San Francisco, CA · On-site

$65.50 - $86.50/hr

... degree in computer science or equivalent experience DESIRED SKILLS -- Active Salesforce Certified Platform Developer I (401) certification -- Active Oracle Certified Java Associate Programmer ...

Ripple

Senior Data Scientist

San Francisco, CA · On-site

$201K - $210K/yr

Must have a Bachelor's degree or foreign equivalent in Computer Science, Computer Engineering, Electrical Engineering or a related field, plus 5 years of experience in Data Science. Alternatively ...

SynergisticIT

Python/R developer - Remote

San Francisco, CA · On-site

$61.75 - $79.75/hr

Recent computer science/engineering/mathematics/statistics or science graduates or people looking to switch careers or who have had gaps in employment and looking to make their careers in the tech ...

Amazon

Senior Applied Scientist

San Francisco, CA · On-site

$107K - $147K/yr

BASIC QUALIFICATIONS - Experience programming in Java, C++, Python or related language - PhD in Computer Science, Electrical Engineering, Robotics, or a related - field - • 4+ years of hands-on ...

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All JobsAssociate In Computer Science JobsAssociate In Computer Science Jobs in Napa, CA

Associate In Computer Science information

See Napa, CA salary details

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How much do associate in computer science jobs pay per hour?

As of Jul 4, 2026, the average hourly pay for associate in computer science in Napa, CA is $21.55, according to ZipRecruiter salary data. Most workers in this role earn between $17.16 and $22.88 per hour, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as an Associate in Computer Science, and why are they important?

To thrive as an Associate in Computer Science, you need a solid understanding of programming languages, problem-solving skills, and a relevant associate degree or certification. Familiarity with coding tools, databases, and version control systems like Git is typically required. Strong analytical thinking, teamwork, and effective communication help you excel in collaborative and technical environments. These abilities are crucial for delivering reliable solutions, adapting to new technologies, and supporting project goals in IT settings.

What are some common challenges faced by an Associate in Computer Science when working on team-based projects?

Associates in Computer Science often encounter challenges such as coordinating with team members who have varying skill levels and communication styles. Balancing individual coding tasks with collaborative responsibilities like code reviews, pair programming, and integrating code can be demanding, especially under tight deadlines. Additionally, staying up-to-date with rapidly evolving technologies and adapting to different project management methodologies (such as Agile or Scrum) are frequent hurdles. However, these challenges also offer valuable learning opportunities and foster professional growth.

What is the difference between Associate In Computer Science vs Computer Support Specialist?

AspectAssociate In Computer ScienceComputer Support Specialist
Required CredentialsAssociate degree in Computer Science or related fieldHigh school diploma or equivalent; certifications like CompTIA A+ often preferred
Work EnvironmentEducational institutions, tech companies, or research labsHelp desks, corporate IT departments, or technical support centers
Industry UsageAcademic programs, entry-level tech roles, internshipsCustomer support, troubleshooting, hardware/software assistance

The Associate In Computer Science typically prepares individuals for entry-level technical roles or further education in computer science, focusing on foundational knowledge. In contrast, a Computer Support Specialist primarily provides technical support and troubleshooting services in various organizations. While both roles involve technical skills, the Associate In Computer Science emphasizes broader computer science concepts, whereas the Computer Support Specialist focuses on user support and problem resolution.

What are Associate in Computer Science jobs?

Associate in Computer Science jobs are entry-level positions typically requiring a two-year associate degree in computer science or a related field. These roles often include responsibilities like technical support, software testing, IT assistance, or junior programming tasks. They are designed to give recent graduates practical experience in the tech industry and can serve as a stepping stone to more advanced positions. Many employers seek candidates with strong problem-solving skills, a basic understanding of programming languages, and familiarity with computer systems. This role is a good starting point for those looking to build a career in technology.
What cities near Napa, CA are hiring for Associate In Computer Science jobs? Cities near Napa, CA with the most Associate In Computer Science job openings:
Associate In Computer Science jobs near you
Infographic showing various Associate In Computer Science job openings in Napa, CA as of June 2026, with employment types broken down into 79% Full Time, 17% Part Time, 2% Temporary, and 2% Contract. Highlights an 97% Physical, 1% Hybrid, and 2% Remote job distribution, with an average salary of $44,828 per year, or $21.6 per hour.

Research, Pre-Training Science

Thinking Machines Lab

San Francisco, CA • On-site

$350K - $475K/yr

Full-time

Medical, Dental, Vision, PTO

Posted 12 days ago

Job description

Thinking Machines Lab's mission is to empower humanity through advancing collaborative general intelligence. We're building a future where everyone has access to the knowledge and tools to make AI work for their unique needs and goals.
We are scientists, engineers, and builders who've created some of the most widely used AI products, including ChatGPT and Character.ai, open-weights models like Mistral, as well as popular open source projects like PyTorch, OpenAI Gym, Fairseq, and Segment Anything.
About the Role
The role of pre-training researchers sits at the core of our roadmap. This work advances the science of how large models learn from data. You'll explore new pre-training methods, architectures, and learning objectives that make model training efficient, robust, and aligned with human goals.
This role blends fundamental research and practical engineering, as we do not distinguish between the two roles internally. You will be expected to write high-performance code and read technical reports. It's an excellent fit for someone who enjoys both deep theoretical exploration and hands-on experimentation, and who wants to shape the foundations of how AI learns.
Note: This is an "evergreen role" that we keep open on an on-going basis to express interest in this research area. We receive many applications, and there may not always be an immediate role that aligns perfectly with your experience and skills. Still, we encourage you to apply. We continuously review applications and reach out to applicants as new opportunities open. You are welcome to reapply if you get more experience, but please avoid applying more than once every 6 months. You may also find that we put up postings for singular roles for separate, project or team specific needs. In those cases, you're welcome to apply directly in addition to an evergreen role.
What You'll Do
  • Research and develop new methodologies for pre-training.
  • Work in areas such as scaling, architecture, algorithms, or optimization of large scale training runs depending on your research interest and experience.
  • Design data curricula and sampling strategies that improve learning dynamics and model generalization.
  • Collaborate with infrastructure and data teams to conduct large-scale experiments efficiently and reproducibly.
  • Publish and present research that moves the entire community forward. Share code, datasets, and insights that accelerate progress across industry and academia.
Skills and Qualifications
Minimum qualifications:
  • Ability to design, run, and analyze experiments thoughtfully, with demonstrated research judgment and empirical rigor.
  • Experience with distributed or high-performance computing environments.
  • Proficiency in Python and familiarity with at least one deep learning framework (e.g., PyTorch, TensorFlow, or JAX). Comfortable with debugging distributed training and writing code that scales.
  • Bachelor's degree or equivalent experience in Computer Science, Machine Learning, Physics, Mathematics, or a related discipline with strong theoretical and empirical grounding.
  • Clarity in communication, an ability to explain complex technical concepts in writing.

Preferred qualifications - we encourage you to apply even if you don't meet all preferred qualifications, but at least some:
  • A strong grasp of probability, statistics, and ML fundamentals. You can look at experimental data and distinguish between real effects, noise, and bugs.
  • Prior experience training or analyzing large-scale models, or contributing to pre-training or foundation model research.
  • Strong publication record or open-source contributions in representation learning, optimization, scaling laws, or other areas of pre-training.
  • Familiarity with curriculum learning, data selection, or active learning techniques.
  • Experience designing or maintaining evaluation frameworks for large models.
  • Contributions to open datasets, research publications, or data tooling.
  • PhD in Computer Science, Machine Learning, Physics, Mathematics, or a related discipline with strong theoretical and empirical grounding; or, equivalent industry research experience.
Logistics
  • Location: This role is based in San Francisco, California.
  • Compensation: Depending on background, skills and experience, the expected annual salary range for this position is $350,000 - $475,000 USD.
  • Visa sponsorship: We sponsor visas. While we can't guarantee success for every candidate or role, if you're the right fit, we're committed to working through the visa process together.
  • Benefits: Thinking Machines offers generous health, dental, and vision benefits, unlimited PTO, paid parental leave, and relocation support as needed.

As set forth in Thinking Machines' Equal Employment Opportunity policy, we do not discriminate on the basis of any protected group status under any applicable law.
Thinking Machines Lab will consider for employment qualified applicants with criminal histories in a manner consistent with the requirements of the California Fair Chance Act, the San Francisco Fair Chance Ordinance, and any other applicable state or local fair chance ordinance or law.

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