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Remote Amazon Data Science Jobs in Nevada (NOW HIRING)

$139K - $168K/yr

Take end-to-end ownership of Machine Learning systems -- from prototyping, data pipelines and ... D. in Computer Science, Engineering or a related technical field * Strong understanding of ...

New

$139K - $168K/yr

Take end-to-end ownership of Machine Learning systems -- from prototyping, data pipelines and ... D. in Computer Science, Engineering or a related technical field * Strong understanding of ...

New

Meteorologist

Elko, NV · On-site +1

$40K/yr

Degree in Meteorology, Atmospheric Science, or another natural science major that includes: * At ... Using current hydro-meteorological data to monitor conditions and assist with forecast preparation ...

Field Botanist

Reno, NV · On-site +1

$26 - $34/hr

Collect, record, and manage botanical data using GPS and other field data collection tools ... Ability to work in remote outdoor environments for extended periods. The wage range for this ...

Bachelor's degree in Computer Science, Cyber Security, Information Security, Engineering ... This compensation range is specific to Remote role and takes into account the wide range of factors ...

IT Manager

Las Vegas, NV · On-site +1

$90K - $111K/yr

... life sciences, transportation, food & beverage, consumer products, and energy. With a dynamic ... Collaborate with Legal and Finance teams to ensure compliance with data privacy laws (e.g., GDPR ...

IT Manager

Las Vegas, NV · On-site +1

$87K - $106K/yr

... life sciences, transportation, food & beverage, consumer products, and energy. With a dynamic ... Collaborate with Legal and Finance teams to ensure compliance with data privacy laws (e.g., GDPR ...

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Remote Amazon Data Science information

What is the difference between Remote Amazon Data Science vs Remote Amazon Data Analyst?

AspectRemote Amazon Data ScienceRemote Amazon Data Analyst
Required CredentialsBachelor's/Master's in Data Science, Statistics, or related fields; programming skills in Python/R; experience with machine learningBachelor's in Data Analysis, Business, or related fields; proficiency in Excel, SQL, and data visualization tools
Work EnvironmentCollaborative teams, cross-functional projects, remote data science platformsRemote reporting, data interpretation, and visualization tasks within Amazon teams
Employer & Industry UsageAmazon's data science teams focusing on predictive modeling, ML, and AIAmazon's data analysis teams focusing on reporting, dashboards, and business insights

Remote Amazon Data Science involves developing machine learning models and advanced analytics, requiring programming and statistical skills. In contrast, Remote Amazon Data Analyst roles focus on interpreting data, creating reports, and supporting decision-making with less emphasis on coding. Both roles are integral to Amazon's data-driven strategies but differ in technical complexity and daily tasks.

What are popular job titles related to Remote Amazon Data Science jobs in Nevada? For Remote Amazon Data Science jobs in Nevada, the most frequently searched job titles are:
What cities in Nevada are hiring for Remote Amazon Data Science jobs? Cities in Nevada with the most Remote Amazon Data Science job openings:
Machine Learning Systems Engineer

Machine Learning Systems Engineer

Motional

Las Vegas, NV • On-site, Remote

Other

Re-posted 4 days ago


Job description

Mission Summary:

We are looking for a Machine Learning Systems Engineer to join our ML Acceleration team. In this role, you will be responsible for the core systems that enable our researchers to train frontier models at scale, focusing obsessively on speed, cost, reliability, and throughput. You will work at the intersection of machine learning research and high-performance systems engineering. Your work will directly impact our ability to scale large-scale distributed model training and reduce the time-to-convergence for our next generation of models.

What you'll be doing:

  • Performance Profiling & Optimization: Utilize profiling tools (e.g., Nsight, PyTorch Profiler) to identify bottlenecks in data loading, gradient computation, and communication. Implement optimizations like kernel fusion, sharding, and tiling to improve step time.
  • Distributed Training: Optimize distributed training pipelines using frameworks such as PyTorch Distributed.
  • Kernel Development: Design and maintain high-performance GPU kernels in Triton or CUDA for state-of-the-art ML workloads.
  • Data Pipeline Engineering: Optimize robust data loading pipelines that maximize training throughput.

What we're looking for:

  • Education: Bachelor's, Master's degree, or PhD in Computer Science, Computer Engineering, or a related technical discipline.
  • Software Engineering: Strong proficiency in Python.
  • ML Frameworks: Extensive hands-on experience with PyTorch.
  • ML Knowledge: Experience optimizing machine learning model execution during training and inference, alongside a strong understanding of fundamental machine learning concepts, architectures, and processes.
  • Problem Solving: Exceptional analytical and problem-solving skills, with a bias for action and a data-driven approach to technical challenges.

We encourage a hybrid schedule with in-office time at one of our locations in Boston, Pittsburgh, or Las Vegas to support collaboration, or this role can be fully remote.