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Remote Amazon Computer Science Jobs in Santee, CA

LMI

Data Architect - Clearance Required

San Diego, CA · On-site +1

$67.75 - $87/hr

This is a largely remote position; however, candidates must reside in the vicinity of San Diego, CA ... Bachelor's degree in computer science, data science, information systems, or a related discipline.

LMI

Data Architect - Clearance Required

San Diego, CA · On-site +1

$67.75 - $87/hr

This is a largely remote position; however, candidates must reside in the vicinity of San Diego, CA ... Bachelor's degree in computer science, data science, information systems, or a related discipline.

Dlapiper

Data Scientist

San Diego, CA · On-site +1

Bachelor's degree in computer science, data science, statistics, applied mathematics or related ... Opportunity for a hybrid work arrangement combining remote and in-office work. The specific ...

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All JobsAmazon Computer Science JobsRemote Amazon Computer Science JobsRemote Amazon Computer Science Jobs in Santee, CA

Remote Amazon Computer Science information

What is a remote Amazon computer science job?

Remote Amazon computer science jobs are roles at Amazon that allow professionals to work from locations outside of Amazon offices, focusing on computer science domains such as software development, data engineering, machine learning, and cloud computing. These positions typically require strong technical skills in programming, algorithms, and systems design, and they often support Amazon’s various products and services from a virtual setting. Remote roles offer flexibility while still enabling collaboration with global teams and contributing to large-scale projects. Candidates usually need a degree in computer science or a related field and relevant work experience.

How do remote Amazon computer science professionals typically collaborate with their teams across different time zones?

Remote Amazon Computer Science professionals often work with colleagues spread across various regions, which requires strong communication and time management skills. Teams commonly use tools like Amazon Chime, Slack, and project management platforms to coordinate meetings, share updates, and track progress asynchronously. Flexibility in scheduling and clear documentation are crucial to ensure everyone stays informed and aligned, and regular virtual stand-ups or check-ins help maintain team cohesion. Despite the remote setting, Amazon fosters a collaborative environment where engineers support each other's growth and problem-solving.

What are the key skills and qualifications needed to thrive as a remote Amazon computer science professional, and why are they important?

To thrive as a Remote Amazon Computer Science professional, you typically need a strong background in computer science fundamentals, programming (such as Java, Python, or C++), and a relevant degree or equivalent experience. Familiarity with cloud computing platforms like AWS, software development tools, and version control systems such as Git is essential. Strong problem-solving, self-motivation, and effective communication are key soft skills for collaborating remotely and driving projects forward. These skills and qualities are critical for delivering scalable, high-quality solutions while working independently within Amazon's dynamic and distributed teams.

What is the difference between Remote Amazon Computer Science vs Remote Amazon Software Development?

AspectRemote Amazon Computer ScienceRemote Amazon Software Development
Required CredentialsBachelor's in Computer Science or related field, possibly some certificationsBachelor's in Computer Science or related field, often with coding certifications
Work EnvironmentResearch, data analysis, algorithm design, theoretical workCode writing, application development, system implementation
Employer & Industry UsageAmazon research labs, data teams, algorithm groupsAmazon software engineering teams, product development
Common Search & Comparison IntentUnderstanding research roles vs development roles at AmazonDistinguishing between development and research positions at Amazon

Remote Amazon Computer Science roles focus on research, algorithms, and theoretical work, while Remote Amazon Software Development roles emphasize coding, application building, and system implementation. Both require a strong foundation in computer science but differ in daily tasks and work environment.

What cities near Santee, CA are hiring for Remote Amazon Computer Science jobs?

Cities near Santee, CA with the most Remote Amazon Computer Science job openings:

Remote Amazon Computer Science jobs near you
Infographic showing various Remote Amazon Computer Science job openings in Santee, CA as of August 2026, with employment types broken down into 72% Full Time, 18% Part Time, and 10% Contract. Highlights an 100% Remote job distribution.

Machine Learning Research Scientist (Remote)

San Diego, CA • Remote

GroupSolver
Marketing Research • 11 - 50 employees
Learn more about GroupSolverexternal

Full-time

Re-posted 17 days ago

Job description

GroupSolver is a market research tech startup based in San Diego with offices in Utah and Kosice, Slovak Republic. Combining AI and Crowd Intelligence, our technology helps decision makers and researchers find insights, which would otherwise remain hidden from traditional online surveys. Our clients include leading companies such as Google, Adidas, General Mills, Discovery, Lenovo, and Amazon. 

  • Research and development: work with and develop state-of-the-art NLP models to improve conventional market research practices. 

Basic Qualifications: 

  • MS/PhD in Computer Science, Machine Learning, Statistics, Applied Mathematics, or a related field. 
  • 2+ years of hands-on experience in predictive modeling, ML or large data analysis 
  • Algorithm and model development experience for large-scale applications 
  • Proficiency in at least one of the following languages: Python, R/Matlab, Java 
  • Comfortable working with teams in different time zones, (USA, Europe) 
  • Good communication skills, ability to explain technical concepts to non-technical audiences. 

Preferred Qualifications: 

  • Strong understanding of Transformer architecture and Attention mechanisms. 
  • 2 years of experience in NLP 
  • Familiarity with spaCy, AllenNLP, Gensim, Pytorch, Tensorflow, Deep Learning 
  • Knows the difference between RNN, CNN, LSTM, GANs. 
  • Familiar with Meta AI, Deepmind, Google AI, OpenAI and other big players.