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Remote Computer Science Fresh Graduate Jobs in Nevada

What We're Looking For (Must-Haves): * BS in Computer Science, Machine Learning, or a related field ... be fully remote. The salary range for this role is an estimate based on a wide range of ...

Bachelor's degree in preferably Computer Science, Information Technology, Computer Engineering, or ... remote client service delivery. Recruiting for this role ends on 06/30/2026. Work you'll do As a ...

Technical Support (On-Campus & Remote) * Provide Tier 1 and Tier 2 technical support for laptops ... Associate or bachelor's degree in information technology, Computer Science, or a related field (or ...

Technical Support (On-Campus & Remote) * Provide Tier 1 and Tier 2 technical support for laptops ... Associate or bachelor's degree in information technology, Computer Science, or a related field (or ...

Bachelor's degree preferably in Computer Science, Information Technology, Computer Engineering, or ... remote client service delivery. Recruiting for this role ends on 06/30/2026. Work you'll do As a ...

Meteorologist

Elko, NV · On-site +1

$40.74K/yr

Two semester hours of remote sensing of the atmosphere and/or instrumentation. 2. Six semester ... One full year of graduate-level education in Meteorology, Atmospheric Science or in a directly ...

Meteorologist

Las Vegas, NV · On-site +1

$40.74K/yr

Two semester hours of remote sensing of the atmosphere and/or instrumentation. 2. Six semester ... One full year of graduate-level education in Meteorology, Atmospheric Science or in a directly ...

Meteorologist

Reno, NV · On-site +1

$40.74K/yr

Two semester hours of remote sensing of the atmosphere and/or instrumentation. 2. Six semester ... One full year of graduate-level education in Meteorology, Atmospheric Science or in a directly ...

Senior Platform Architecture Engineer

Reno, NV · On-site +1

$55 - $71/hr

This position is open to remote candidates who reside in one of the following states only: Nevada ... Bachelor's degree in Statistics, Mathematics, Computer Science, Economics, Data Science, or ...

Senior Platform Architecture Engineer

Reno, NV · On-site +1

$55 - $71/hr

This position is open to remote candidates who reside in one of the following states only: Nevada ... Bachelor's degree in Statistics, Mathematics, Computer Science, Economics, Data Science, or ...

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Remote Computer Science Fresh Graduate information

What are the key skills and qualifications needed to thrive as a Remote Computer Science Fresh Graduate, and why are they important?

To thrive as a Remote Computer Science Fresh Graduate, you need a solid foundation in programming languages, algorithms, and software development principles, typically supported by a relevant degree. Familiarity with version control systems like Git, collaboration tools such as Slack or Jira, and cloud platforms is highly valued. Strong problem-solving abilities, self-motivation, and effective written communication are crucial soft skills for remote work success. These skills and qualities are essential to deliver high-quality work independently, collaborate efficiently with distributed teams, and adapt quickly to new challenges in a remote environment.

What are some common challenges Remote Computer Science Fresh Graduates face during their first year, and how can they overcome them?

Remote Computer Science Fresh Graduates often encounter challenges like adapting to distributed team communication, managing time effectively without in-person supervision, and bridging the gap between academic knowledge and practical coding tasks. To overcome these, it's helpful to proactively seek feedback, participate in virtual team meetings, and utilize collaboration tools like Slack or GitHub. Building a strong routine, asking questions early, and leveraging mentorship opportunities can also make the transition smoother and support your long-term growth.

What are remote computer science fresh graduates?

Remote computer science fresh graduates are individuals who have recently completed a degree in computer science and are seeking or starting entry-level positions that allow them to work from home or any location outside a traditional office. These roles typically involve tasks such as software development, web development, or IT support, and require strong technical skills gained through academic coursework or internships. Remote positions offer flexibility and the opportunity to work for companies worldwide, but may also require strong self-motivation and communication skills to collaborate effectively with distributed teams.
What are popular job titles related to Remote Computer Science Fresh Graduate jobs in Nevada? For Remote Computer Science Fresh Graduate jobs in Nevada, the most frequently searched job titles are:
What job categories do people searching Remote Computer Science Fresh Graduate jobs in Nevada look for? The top searched job categories for Remote Computer Science Fresh Graduate jobs in Nevada are:
What cities in Nevada are hiring for Remote Computer Science Fresh Graduate jobs? Cities in Nevada with the most Remote Computer Science Fresh Graduate job openings:
Staff Machine Learning Engineer

Staff Machine Learning Engineer

Motional

Las Vegas, NV • On-site, Remote

Other

Posted 18 days ago


Job description

Mission Summary:
At Motional, we're transforming how autonomous vehicles discover critical intelligence hidden within petabytes of multimodal sensor data. Our next-generation autonomous driving stack depends on finding the rare edge cases, long-tail scenarios, and model errors that matter most. Omnitag, our ML-powered multimodal data mining framework, is the engine that powers this discovery.

As a Staff Machine Learning Engineer, you will serve as a technical leader defining the roadmap and architecture for the machine learning systems that power our data discovery and model improvement lifecycles. Rather than focusing on a single specialized domain, you will leverage your broad ML expertise to architect massive, scalable systems, from multimodal representation learning and active learning loops to hyper-efficient production inference. You will own system-level architecture, lead multi-quarter, multi-person initiatives, and partner across the engineering organization to unblock teams and influence our department-wide technical strategy. By establishing robust processes and mentoring those around you, you will ensure our ML platforms act as a reliable, mission-critical engine for the entire autonomy stack.

What You'll Do:

  • Define Technical Strategy & Roadmaps: Develop and execute multi-quarter, high-impact technical roadmaps for core ML systems. Proactively inform leadership to guide reprioritization, ensuring initiatives consistently drive team-wide and department-level OKRs and KPIs.
  • Architect System-Level Solutions: Own the system-level architecture for complex ML products. Design scalable frameworks for massive data mining and highly optimized, real-time inference across GPU/CPU clusters.
  • Drive Cross-Functional Execution: Lead multi-person projects to completion across teams. Influence partner teams' technical roadmaps (such as Autonomy) to solve shared problems, break down silos, and build alignment.
  • Elevate Engineering Excellence: Establish department-wide standards for ML system design, code quality, testing, and deployment. Deliver processes to proactively address issues and participate in org-wide incident response planning.
  • Operate as a Generalist Expert: Apply a broad toolkit of ML techniques (deep learning, representation learning, active learning, generative AI) to solve complex, ambiguous problems. Unblock yourself and your team when facing unprecedented technical challenges.
  • Mentor and Lead: Act as a role model and technical go-to person. Coach Senior and junior engineers, lead architectural reviews, and elevate Motional's engineering culture through internal documentation, tech talks, and collaborative design.

What We're Looking For (Must-Haves):

  • BS in Computer Science, Machine Learning, or a related field (or equivalent practical experience)
  • 8+ years of hands-on ML engineering experience, with a proven track record of owning architecture, deployment, and optimization of large-scale ML systems
  • Demonstrated experience working with multimodal foundation models in ML production systems, including integration, scaling, fine-tuning, or deployment of models that process multiple data modalities (e.g., camera, LiDAR, radar, text)
  • Demonstrated technical leadership: defining multi-quarter roadmaps, leading multi-person initiatives, and driving department-level technical strategy
  • Expert-level proficiency in Python and ML frameworks (PyTorch, TensorFlow, or JAX), backed by strong software engineering fundamentals (system design, CI/CD, containerization)
  • Broad ML generalist knowledge, with practical experience spanning model training, deep learning architectures, evaluation methodologies, and production deployment at scale
  • Experience deploying ML models in cloud environments (AWS, GCP, or Azure) and optimizing for latency, throughput, and hardware efficiency
  • Proven ability to mentor peers, explain complex trade-offs to leadership, and drive consensus across disparate teams

Bonus Points (Nice-to-Haves):

  • MS/PhD in Computer Science, Machine Learning, or a related field.
  • Background in autonomous driving, robotics, or complex real-time decision-making systems.
  • Experience with massive-scale ML data mining, active learning loops, and contrastive/representation learning.
  • Familiarity with multimodal learning, sensor fusion, or large foundation models.
  • Deep knowledge of model serving tools (TF Serving, Triton, TorchServe) and enterprise MLOps platforms.
  • Demonstrated experience leading org-wide severity reviews or establishing incident response planning for mission-critical ML platforms.

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.