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Associate In Computer Science Jobs in Bay Point, CA

Food Science Associate

Livermore, CA ยท On-site

$16.50 - $21.50/hr

The Food Science Associate works on the characterization of plant proteins and other food ... computer screen or counter. Interacts closely with personnel in other departments and Company ...

Food Science Associate

Livermore, CA ยท On-site

$16.50 - $21.50/hr

The Food Science Associate works on the characterization of plant proteins and other food ... or standing at a computer screen or counter. ยท Interacts closely with personnel in other ...

Food Science Associate

Livermore, CA ยท On-site

$16.50 - $21.50/hr

The Food Science Associate works on the characterization of plant proteins and other food ... or standing at a computer screen or counter. โ€ข Interacts closely with personnel in other ...

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 ...

Master's in Computer Science * Experience using flat file db such as MongoDB * Experience in REST/SOAP API services * Experience in Java EE and application servers such as Tomcat, websphere or ...

Master's in Computer Science Experience using flat file db such as MongoDB Experience in REST/SOAP API services Experience in Java EE and application servers such as Tomcat, websphere or weblogic ...

Master's in Computer Science * Experience using flat file db such as MongoDB * Experience in REST/SOAP API services * Experience in Java EE and application servers such as Tomcat, websphere or ...

Computational Materials Scientist

Walnut Creek, CA ยท On-site +1

$90K - $140K/yr

... data science, and computer science to help us develop a software framework for designing and ... in the future * work with top-tier human capital in research, engineering, and venture capital ...

... data science, and computer science to help us develop a software framework for designing and ... in the future * work with top-tier human capital in research, engineering, and venture capital ...

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 ...

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 ...

Data Science Engineer

Livermore, CA ยท On-site

$134K - $161K/yr

Bachelor's degree in Computer Science, Data Science, Engineering, Mathematics, Statistics, or a related technical field, or the equivalent combination of education and related experience. * Broad ...

Cloud Architect

San Francisco, CA ยท On-site

$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 ...

Salesforce Developer

San Francisco, CA

$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 ...

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Associate In Computer Science information

See Bay Point, CA salary details

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

As of Jul 3, 2026, the average hourly pay for associate in computer science in Bay Point, CA is $20.90, according to ZipRecruiter salary data. Most workers in this role earn between $16.63 and $22.21 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 Bay Point, CA are hiring for Associate In Computer Science jobs? Cities near Bay Point, CA with the most Associate In Computer Science job openings:
Infographic showing various Associate In Computer Science job openings in Bay Point, CA as of June 2026, with employment types broken down into 85% Full Time, 9% Part Time, 3% Temporary, and 3% Contract. Highlights an 97% Physical, 1% Hybrid, and 2% Remote job distribution, with an average salary of $43,475 per year, or $20.9 per hour.

Research Scientist - Computer Vision

Epsilon Health

San Francisco, CA โ€ข On-site

Full-time

Posted 12 days ago


Job description

About Us
We're tackling one of healthcare's most critical challenges in medical imaging and diagnostics. Our company operates at the intersection of cutting-edge AI and clinical practice, building technology that directly impacts patient outcomes. We've assembled one of the industry's most comprehensive and diverse medical imaging datasets and have a proven product-market fit with a substantial customer pipeline already in place.
Role Overview
We're seeking a Research Scientist with deep expertise in Computer Vision to join our ML team. You'll be at the forefront of developing and deploying state-of-the-art vision models for medical imaging applications. This role focuses on training and scaling vision encoders for radiology diagnosis across multiple modalities including X-rays, CT scans, and MRI. You'll work with one of the largest and most diverse medical imaging datasets in the industry, pushing the boundaries of what's possible in AI-assisted diagnosis while maintaining the rigor required for clinical deployment.
Key Responsibilities
  • Design, train, and scale vision foundation models for radiology applications across X-ray, CT, and MRI modalities, implementing self-supervised / contrastive learning frameworks.
  • Evaluate model performance rigorously across academic benchmarks, internal offline datasets, and live production data.
  • Contribute hands-on to all stages of model development including dataset curation, architecture design, distributed training, and production deployment.
  • Stay current with cutting-edge research in computer vision and medical imaging AI.
  • Drive research and technical excellence through conference publications and technical blog posts, establishing best practices for training robust medical imaging models at scale.
Qualifications
  • 6+ years of academia/industry experience in computer vision/machine learning
  • Deep expertise in training vision encoder models at scale (e.g. ViT, ConvNeXt). Strong foundation in contrastive learning, self-supervised learning, and foundation model pretraining.
  • Track record of implementing complex models from research papers and adapting them to new domains
  • Proficiency in PyTorch or JAX, with experience training models on multi-GPU/distributed systems
  • Hands-on experience with medical imaging applications, particularly radiology (X-ray, CT, MRI)
  • Strong software engineering skills and ability to write production-quality code

Preferred Qualifications
  • Publications at top-tier conferences (CVPR, ICCV/ECCV, NeurIPS, ICLR, MICCAI)
  • Experience with 3D medical image processing and retrieval tasks
  • Knowledge of vision-language models and multimodal learning
  • Experience with model interpretability and explainability methods
  • Understanding of clinical evaluation metrics, clinical workflows, and healthcare data (DICOM, HL7, etc.)