ZipRecruiter

Log In

2

Remote Ai Engineer Jobs in Nevada (NOW HIRING)

Deloitte

Epic Denials Management Operator

Las Vegas, NV · Remote

$17.25 - $23/hr

Position Summary Join Deloitte's AI & Engineering practice to support hospital denials management ... This is a primarily remote role supporting enterprise Epic support, with minimal travel and ...

Motional

Senior Engineer, ML Data Services

Boston, MA · On-site +1

$149K - $198K/yr

Hands-on experience using modern AI coding tools (e.g., Cursor, Claude Code, GitHub Copilot) to accelerate development, refactoring, and code review. * Ability to mentor junior engineers * BS or MS ...

Motional

Senior Engineer, ML Data Services

Pittsburgh, PA · On-site

$149K - $198K/yr

Hands-on experience using modern AI coding tools (e.g., Cursor, Claude Code, GitHub Copilot) to accelerate development, refactoring, and code review. * Ability to mentor junior engineers * BS or MS ...

previous pagenext page

Showing results 21-40

All JobsAi Engineer JobsRemote Ai Engineer JobsRemote Ai Engineer Jobs in Nevada

Remote Ai Engineer information

See Nevada salary details

$25

$54

$78

How much do remote ai engineer jobs pay per hour?

As of Sep 3, 2026, the average hourly pay for remote ai engineer in Nevada is $54.61, according to ZipRecruiter salary data. Most workers in this role earn between $44.04 and $63.41 per hour, depending on experience, location, and employer.

What is a remote AI engineer?

A Remote AI Engineer is a professional who designs, develops, and deploys artificial intelligence models and systems while working from a remote location. They use machine learning, deep learning, and data science techniques to build AI-powered applications, improve automation, and solve complex problems. Responsibilities often include data preprocessing, model training, fine-tuning, and integrating AI solutions into products or services. These engineers collaborate with cross-functional teams online, using cloud-based tools and platforms for development and deployment. Remote AI Engineers typically need strong programming skills in languages like Python, experience with frameworks like TensorFlow or PyTorch, and familiarity with cloud computing and MLOps.

What is it like collaborating with team members as a remote AI engineer?

As a Remote AI Engineer, collaboration typically occurs through virtual meetings, code reviews, shared documentation, and messaging platforms like Slack or Teams. You will work closely with data scientists, product managers, and software engineers to define requirements, design solutions, and integrate AI models into products or services. Strong communication and proactive reporting are highly valued to ensure project alignment and seamless progress. Effective collaboration in a remote setting not only enhances project outcomes but also fosters professional growth and a sense of team cohesion.

What are the most commonly searched types of Ai Engineer jobs in Nevada?

The most popular types of Ai Engineer jobs in Nevada are:

What are popular job titles related to Remote Ai Engineer jobs in Nevada?

For Remote Ai Engineer jobs in Nevada, the most frequently searched job titles are:

What job categories do people searching Remote Ai Engineer jobs in Nevada look for?

The top searched job categories for Remote Ai Engineer jobs in Nevada are:

What cities in Nevada are hiring for Remote Ai Engineer jobs?

Cities in Nevada with the most Remote Ai Engineer job openings:

Remote Ai Engineer jobs near you
Infographic showing various Remote Ai Engineer job openings in Nevada as of August 2026, with employment types broken down into 74% Full Time, and 26% Part Time. Highlights an 100% Remote job distribution, with an average salary of $113,594 per year, or $54.6 per hour.

Software Engineer, ML Dev Enablement

Motional

Las Vegas, NV • On-site, Remote

Full-time

Re-posted 6 days ago

Job description

Mission Summary:

We are looking for a Software Engineer to join our ML Infrastructure: Dev Enablement Team. Our mission is to build a frictionless development environment that empowers our researchers and engineers to rapidly innovate on deep learning models for autonomous driving.

We manage a high-scale Cloud Development Environment (CDE) platform that provides standardized, high-performance workspaces for ML development. As we evolve, in this role, you'll spearhead high-impact initiatives: designing multi-cloud setups to maximize GPU availability, driving deep-level model optimization, and building next-generation Agentic AI toolings. You will play a pivotal role in ensuring our training ecosystem remains cutting-edge, resilient and highly efficient.

What You'll Be Doing:

  • Build Agentic AI Tooling: Design, develop, and enhance Agentic AI tools and systems to automate workflows, streamline the ML lifecycle, and empower developer productivity.
  • Scale Core Infrastructure: Drive the continuous development of our core ML infrastructure and existing CDE platform, leveraging Kubernetes to build robust, high-scale distributed solutions.
  • System-Level ML Optimization: Partner closely with ML Researchers to profile and optimize distributed training jobs (PyTorch/DDP) and data pipelines. Focus on resolving system-level bottlenecks-such as data loading (I/O), memory management, and network communication overhead-to maximize GPU utilization and training throughput.
  • Collaborate Cross-Functionally: Partner with ML engineers and data scientists to understand their complex needs, bridging the gap between underlying infrastructure and model development.

What We're Looking For:

  • BS or MS in Computer Science or related field
  • Strong knowledge of software engineering principles and distributed systems.
  • Strong proficiency with Python or Go or C++
  • Experience with building on AWS services or other Cloud platforms and container orchestration using Kubernetes.
  • Experience with the various stages of the ML development lifecycle
Bonus Points:
  • Hands-on experience with ML model profiling and performance optimization for distributed training.
  • Experience managing or working with high-performance compute resources (GPUs).
  • Experience with ML frameworks such as PyTorch or Ray.
  • Experience building, integrating, or enhancing Agentic AI systems and LLM-driven developer tools.

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

Apply