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Computer Scientist jobs

• The average pay for Computer Scientist jobs is $95K per year.
• Entry-level positions start at $90K per year, while the most experienced workers can earn up to $100K per year.
• Top skills include BOOSTING, DATASETS, EXPERIMENTAL DESIGN, GENE EXPRESSION and GENOMICS.
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+60d ago
Full time · Permanent
Similar jobs pay ~$120k - $180k

Pay information not disclosed by advertiser

Key points we found

  • Develop scalable machine learning and computer vision solutions for e-commerce.
  • Analyze large volumes of data to enhance content automation.
  • Conduct research and implement novel machine learning techniques.
Expiring in 2d
Full time · Permanent
Similar jobs pay ~$70k - $90k

Pay information not disclosed by advertiser

Key points we found

  • Join a team of Graduate Software Development Engineers at Amazon/AWS.
  • Develop software end to end, from requirements to operations.
  • Work collaboratively to solve challenging problems and build innovative solutions.
Expiring in 2d
Full time · Permanent
Similar jobs pay ~$60k - $80k

Pay information not disclosed by advertiser

Key points we found

  • Join a team of Graduate Software Development Engineers at Amazon.
  • Develop software end to end, collaborating with stakeholders and owning operations.
  • Work in an inclusive environment, tackling challenges and building software for global customers.
Posted 56d ago
Full time · Permanent
Similar jobs pay ~$60k - $80k

Pay information not disclosed by advertiser

Key points we found

  • Join a high performing software engineering team in Brisbane.
  • Develop innovative software solutions for customer fulfillment processes.
  • Work collaboratively to optimize systems and improve quality.
+60d ago
Full time · Permanent
Similar jobs pay ~$60k - $80k

Pay information not disclosed by advertiser

Key points we found

  • Develop software end to end, from requirements gathering to ongoing operations.
  • Work collaboratively with a global team to solve challenging problems.
  • Experiment and learn from successes and failures in software development.