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Remote Human Computer Interaction Research Jobs in Nevada

Symmetry

Life Insurance Agent, Remote

Henderson, NV · Remote

$80K - $190K/yr

Research and find the best product from our 40+ A-rated carriers to protect new and existing ... computer/laptop) * Self Accountable & Self Motivated , You are your own boss * Willing to focus on ...

Quora

$202K - $234K/yr

... not just research or prototypes. You'll lay the groundwork for how we approach internal AI ... For Toronto and Vancouver based applicants, the salary range is $202,383 - $234,201 CAD + equity ...

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Remote Human Computer Interaction Research information

What are the key skills and qualifications needed to thrive as a Remote Human Computer Interaction (HCI) Researcher, and why are they important?

To thrive as a Remote Human Computer Interaction Researcher, you need a solid background in HCI, user experience (UX) design, psychology, or computer science, often supported by an advanced degree and experience with research methodologies. Familiarity with tools like Figma, usability testing platforms, statistical analysis software (e.g., SPSS, R), and qualitative data analysis systems is commonly required. Strong analytical thinking, collaboration, and clear communication skills are crucial for synthesizing findings and working with cross-functional teams. These competencies are vital for producing actionable insights that improve technology usability and enhance user satisfaction in remote and digital environments.

What are the typical challenges faced when conducting Human Computer Interaction (HCI) research remotely, and how can they be overcome?

One common challenge in remote HCI research is ensuring effective participant engagement and data quality without in-person interaction. Researchers often need to design clear instructions, choose reliable online tools for usability testing, and anticipate technical issues that participants may face. Collaborating with team members across different time zones can also require flexible communication strategies and thorough documentation. Leveraging collaborative platforms and scheduling regular check-ins can help maintain project momentum and foster a supportive virtual team environment.

What is remote human-computer interaction research?

Remote human-computer interaction (HCI) research involves studying how people interact with computers and digital devices while participants and researchers are in different locations. This approach typically uses online tools and platforms to conduct experiments, usability studies, and interviews. Remote HCI research allows for greater diversity in participants, cost savings, and flexibility in data collection. It is especially useful for studying technology use in natural, real-world settings.

What is the difference between Remote Human Computer Interaction Research vs Remote User Experience Designer?

AspectRemote Human Computer Interaction ResearchRemote User Experience Designer
CredentialsTypically requires a degree in HCI, Psychology, or related fields; research experienceRequires a background in Design, Psychology, or Human Factors; portfolio often needed
Work EnvironmentPrimarily research labs, universities, or corporate R&D teams; focus on studies and experimentsDesign studios, corporate teams, or freelance; focus on creating user interfaces and prototypes
Industry UsageUsed in academia, tech companies, and research institutions to improve technology usabilityCommon in tech, software, and product companies to enhance user experience and interface design

Remote Human Computer Interaction Research focuses on studying how humans interact with computers through experiments and research, often in academic or R&D settings. In contrast, Remote User Experience Designers apply design principles to create user-friendly interfaces, emphasizing visual and functional aspects. Both roles require understanding user needs but differ in their approach—research vs. design implementation.

What are the most commonly searched types of Human Computer Interaction Research jobs in Nevada? The most popular types of Human Computer Interaction Research jobs in Nevada are:
What are popular job titles related to Remote Human Computer Interaction Research jobs in Nevada? For Remote Human Computer Interaction Research jobs in Nevada, the most frequently searched job titles are:
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Remote Human Computer Interaction Research jobs near you
Machine Learning Systems Engineer

Machine Learning Systems Engineer

Motional

Las Vegas, NV • On-site, Remote

Other

Re-posted 6 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.

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