2

Remote Amazon Computer Science Jobs in Sugar Land, TX

Be Seen First

Senior/Principal Machine Learning Engineer 200-300k Remote position possible Description * Develop ... D. or Master's) in computer science, computer engineering, mathematics, physics, or related field.

SAP Basis Engineer

Houston, TX · Remote

$130K - $150K/yr

Our client is seeking a remote SAP Basis Engineer/Application Support Engineer. This is a full time ... Bachelor of Science in Computer Science, Engineering, Applied Sciences, or equivalent work ...

Master's degree in Computer Science, Cyber Security, Information Security, Engineering, or Information Technology #CyberServiceNow For individuals assigned and/or hired to work in Remote role ...

Data Engineer

Houston, TX · On-site +1

$95K - $130K/yr

Lead Modeling Scientist Location : Remote Base Salary Range: $95k - $130k General Position ... Bachelor's or Master's degree or equivalent experience in Data Engineering, Computer Science ...

Data Engineer

Houston, TX · On-site +1

$95K - $130K/yr

Lead Modeling Scientist Location : Remote Base Salary Range: $95k - $130k General Position ... Bachelor's or Master's degree or equivalent experience in Data Engineering, Computer Science ...

... phone, remote tools, email, chat, and ticketing systems. * Diagnose, troubleshoot, and resolve ... Associates or Bachelors degree in Information Technology, Computer Science, or a related field, or ...

next page

Showing results 1-20

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 popular job titles related to Remote Amazon Computer Science jobs in Sugar Land, TX? For Remote Amazon Computer Science jobs in Sugar Land, TX, the most frequently searched job titles are:
What cities near Sugar Land, TX are hiring for Remote Amazon Computer Science jobs? Cities near Sugar Land, TX with the most Remote Amazon Computer Science job openings:
Infographic showing various Remote Amazon Computer Science job openings in Sugar Land, TX as of June 2026, with employment types broken down into 6% Internship, 78% Full Time, and 16% Contract. Highlights an 100% Remote job distribution.
Machine Learning Guru (Autonomous Navigation)**

Machine Learning Guru (Autonomous Navigation)**

Talentry, LLC

Houston, TX • Remote

$200K - $300K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted yesterday

Be Seen First

After you apply to this job, you can share why you’re interested to jump to the top of the candidate list.


Job description

Senior/Principal Machine Learning Engineer

200-300k

Remote position possible

Description

  • Develop solutions for autonomous driving, from experimentation to full commercialization.
  • Explore new ideas using deep learning, neural networks, and large foundation models.
  • Work on object detection, tracking, prediction, planning, control, online mapping, and more.
  • Manage the full life cycle of machine learning projects, including data analysis and model verification.
  • Collaborate with product, simulation, and algorithm teams to integrate machine learning technologies.

Qualifications

  • Advanced degree (Ph.D. or Master’s) in computer science, computer engineering, mathematics, physics, or related field.
  • In-depth knowledge and experience in machine learning and/or computer vision, employing bleeding-edge techniques.
  • Knowledge of generative models, model distillation, or model inference acceleration.
  • Familiarity with PyTorch, TensorFlow, and other machine learning platforms.
  • Ability to work independently in a fast-paced environment and collaborate on complex projects.
  • A track record of research publications in top conferences/journals is preferred.

Benefits

  • Work on cutting-edge autonomous navigation technology.
  • Opportunity to contribute to world-first innovations.
  • Vibrant and fast-paced work environment.
  • Exposure to cross-team projects and collaboration.
  • Chance to transform dreams into reality in the future of transportation.
  • Excellent salary and benefits – chance to get in on the ground floor!

** To apply, please answer all screening questions completely. Incomplete questionnaires will result in automatic rejection. **