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Remote Amazon Computer Science Jobs in Orem, UT (NOW HIRING)

Senior Staff Agentic AI Engineer

Draper, UT · On-site +1

$99K - $134K/yr

Bachelor's Degree in Computer Science or related field of study. * 12+ years of experience in ... Amazon Web Services (AWS) * Datadog * OpenAI * Grafana * Graph Databases * Large Language Models ...

Lead Data Scientist

Draper, UT · On-site +1

$138K - $272K/yr

Bachelor's Degree in Statistics, Mathematics, Engineering, Data Science, Computer Science, or ... Normal office environment. (Remote or Hybrid), 3 to 4 days per month are required in office if ...

Regression Tester

Orem, UT · On-site +1

$110K - $130K/yr

Bachelor's degree in Computer Science, Information Technology, or related field (or equivalent ... Flexible remote/hybrid work options. * Contribute to cutting-edge recruitment and analytics ...

Bachelor's degree in Computer Science, Information Systems or related field or equivalent ... Travel Remote opportunity. Total travel could be up to 15%. The nature of the travel is being ...

Bachelor's degree in Computer Science, Information Systems or related field or equivalent ... Travel Remote opportunity. Total travel could be up to 15%. The nature of the travel is being ...

Robot System Architect V

Lehi, UT · Remote

$248K/yr

Lehi, Utah or remote or DFW, Type of hire : Contract Role Overview: JOB SUMMARY We are seeking an ... Bachelor's or master's degree in Systems Engineering, Robotic Engineering, Computer Science ...

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Remote Amazon Computer Science information

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.

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 are the most commonly searched types of Amazon Computer Science jobs in Orem, UT? The most popular types of Amazon Computer Science jobs in Orem, UT are:
What are popular job titles related to Remote Amazon Computer Science jobs in Orem, UT? For Remote Amazon Computer Science jobs in Orem, UT, the most frequently searched job titles are:
Infographic showing various Remote Amazon Computer Science job openings in Orem, UT as of July 2026, with employment types broken down into 75% Full Time, and 25% Part Time. Highlights an 100% Remote job distribution.

Data Science Intern | Fully Remote US

HireVue Inc

Sandy, UT • Remote

Part-time

Posted 9 days ago


Job description

Company Description

Hirevue is where hiring happens - transforming the way organizations discover, engage, and hire the best talent. Connecting companies and candidates anytime, anywhere, Hirevue's end-to-end hiring platform features video interviewing, assessments and conversational AI. The industry leader in science backed, modern hiring solutions powered by ethical AI, Hirevue has hosted more than 70 million video interviews and 200 million chat-based candidate engagements for over 1200 pioneering customers around the globe.

Job Description

As a Data Science Intern, you will support ongoing research initiatives that keep our enterprise products and our clients' hiring processes on the absolute cutting edge and leverage machine learning to shape the future of hiring.

Partnering closely with our world-class data scientists and cross-functional partners in Product Science and Product and Technology, you will have the opportunity to build, validate, and scale machine learning models and agentic workflows. You will also conduct applied research on systems and processes to continuously advance our natural language processing (NLP) and ethical AI capabilities.

Essential Duties and Responsibilities

Applied Research & Modeling

  • Support ongoing research initiatives that keep us on the cutting edge, including in agentic workflow development

  • Work with machine learning models to build products and conduct research

  • Write code to develop prototypes and utilities to extend or improve our product suite

Data Preparation & Quality

  • Drive the preparation of data used to train deep learning models and score unstructured data

  • Assure quality of our software in terms of content, scoring, and functionality

  • Performance modeling and data analysis

Qualifications

Required

  • Bachelor's degree required, with a Master's degree or PhD in progress in a quantitative/programming field (Computer Science, Statistics, Mathematics, Engineering, Psychology, Economics, Data Science, or related)

  • Understanding of statistics, machine learning, and deep learning fundamentals

  • Proficiency in Python, including common ML libraries (e.g., numpy, pandas, scikit-learn)

  • Experience with version control (e.g., Git)

  • Ability to analyze large datasets and draw meaningful, actionable insights

  • Strong problem-solving skills - able to synthesize information from multiple sources to solve problems

  • Team player with strong collaboration and communication skills; comfortable working closely with data scientists, engineers, and I/O Psychologists

  • Self-motivated and able to work effectively with limited supervision; strong prioritization skills

Preferred

  • Awareness of state of the art methods in machine learning, deep learning, NLP, and/or generative AI

  • Exposure to large language models (LLMs) and generative AI (e.g., prompt engineering, fine-tuning, agentic design patterns, agentic evaluation methods)

  • Familiarity with SQL and database querying

  • Familiarity with cloud platforms (AWS preferred) for ML workflows

Additional Information

All team members at Hirevue are expected to embody our core values, which are the H.E.A.R.T. of Hirevue. They are: Hero for our Customers, Enjoy the Journey, Always do the Right Thing, Reach Forwards, and Take Action and Go. 

Hirevue takes security seriously and has measures in place to protect work-related data in a remote setting. Our organization has implemented a BYOD (Bring Your Own Device) policy, HireVue uses Google User Enrollment, which ensures personal apps and data are kept separate from work apps and data should you choose to use your personal device for work purposes. HireVue can manage only the work-related aspects of the device, ensuring privacy for personal data.

Hirevue is committed to equal treatment and opportunity in all aspects of recruitment, selection, and employment. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, veteran status, or any other category protected under the law. HireVue is an equal opportunity employer; committed to a community of inclusion, and an environment free from discrimination, harassment, and retaliation. All your information will be kept confidential according to EEO guidelines.

Hirevue is NOT currently hiring in:

AK, HI, IA, ME, MS, NM or WV.

#remote-us