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Remote Amazon Computer Science Jobs in New Jersey

Codertal

Computer Vision Engineer

Union, NJ · Remote

$113.60K - $134K/yr

Bachelor's or Master's in Computer Science, AI, Engineering, or related field. Intermediate to advanced English. Must be located within the European Union . Location & Work Setup Remote: Yes Location:

Codertal

AI Research Scientist

Union, NJ · On-site +1

Bachelor's, Master's, or PhD in Computer Science, AI, or related field. Intermediate to high level of English. Must be located within the European Union . Location & Work Setup Remote: Yes Location:

Deloitte

Databricks Engineer

Jersey City, NJ · On-site +1

Bachelor's degree preferably in Computer Science, Information Technology, Computer Engineering, or ... Experience building Databricks environments in Microsoft Azure, Amazon Web Services, or Google ...

Deloitte

Databricks Engineer

Princeton, NJ · On-site +1

Bachelor's degree preferably in Computer Science, Information Technology, Computer Engineering, or ... Experience building Databricks environments in Microsoft Azure, Amazon Web Services, or Google ...

Deloitte

Databricks Engineer

Morristown, NJ · On-site +1

Bachelor's degree preferably in Computer Science, Information Technology, Computer Engineering, or ... Experience building Databricks environments in Microsoft Azure, Amazon Web Services, or Google ...

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Remote Amazon Computer Science information

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.

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 remote Amazon computer science jobs?

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.

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 are popular job titles related to Remote Amazon Computer Science jobs in New Jersey? For Remote Amazon Computer Science jobs in New Jersey, the most frequently searched job titles are:
What job categories do people searching Remote Amazon Computer Science jobs in New Jersey look for? The top searched job categories for Remote Amazon Computer Science jobs in New Jersey are:
What cities in New Jersey are hiring for Remote Amazon Computer Science jobs? Cities in New Jersey with the most Remote Amazon Computer Science job openings:
Remote Amazon Computer Science jobs near you

Computer Science Research Assistant - Temporary

Princeton University

Princeton, NJ • On-site, Remote

$21/hr

Temporary

Posted 10 days ago

Princeton University rating

9.0

Company rating: 9.0 out of 10

Based on 26 frontline employees who took The Breakroom Quiz

18th of 528 rated colleges and universities

Job description

Overview

We are seeking a Computer Science researcher to work with the Energy Systems Analysis Group in the Andlinger Center for Energy and the Environment to convert a thesis study into a submission-ready journal article for a leading energy or interdisciplinary journal. The role is designed for the opportunity to translate a strong thesis into a high-impact academic publication.

The thesis develops CADENCE (Capital-Aware Deployment of Energy Networks with Coordinated Estimation), an extension of Princeton's Net-Zero X framework. It introduces a computational approach-using a Directed Acyclic Graph and Critical Path Method-to incorporate real-world deployment frictions, including interdependencies, capital discipline, stochastic timelines, and project abandonment. The results highlight how coordination and sequencing constraints can materially limit clean energy deployment.

Responsibilities

Working closely with Senior Research Scientist Chris Greig, the researcher will refine the thesis into a concise and compelling journal manuscript. This includes restructuring the narrative, sharpening the statement of novelty and contribution, tightening the methodological exposition, and improving the presentation of results and figures. Limited additional analysis may be undertaken to address robustness and anticipated reviewer questions.

This is a short-term, intensive collaboration with clear co-authorship and submission goals, suited to a candidate interested in research, publication, or graduate study. The position may be remote.

Qualifications

All candidates must have a strong related research background and enjoy working in teams.

Work pays $21.00/hour

Be advised that you will be contacted only if there is further interest in your application. Your candidate dashboard may not display status updates for this requisition.

Princeton University is an Equal Opportunity and all qualified applicants will receive consideration for employment without regard to age, race, color, religion, sex, sexual orientation, gender identity or expression, national origin, disability status, protected veteran status, or any other characteristic protected by law.

The University considers factors such as (but not limited to) scope and responsibilities of the position, candidate's qualifications, work experience, education/training, key skills, market, collective bargaining agreements as applicable, and organizational considerations when extending an offer. The posted salary range represents the University's good faith and reasonable estimate for a full-time position; salaries for part-time positions are pro-rated accordingly.

If the salary range on the posted position shows an hourly rate, this is the baseline; the actual hourly rate may be higher, depending on the position and factors listed above.

The University also offers a comprehensive benefit program to eligible employees. Please see this link for more information.

Standard Weekly Hours0.00Eligible for OvertimeYesBenefits EligibleNoEssential Services Personnel (see policy for detail)NoEstimated Appointment End Date10/31/2026Physical Capacity Exam RequiredNoValid Driver's License RequiredNo Experience LevelEntry Level#LI-LO1Salary Range$21.00 Minimum Hourly RateEmployment Type: TEMPORARY

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