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Research Scientist Engineer Jobs in Reno, NV (NOW HIRING)

Liberty

Engineer, Standards

Tahoe Vista, CA · On-site

Plan, research, design, update, maintain, and communicate engineering design and construction ... Bachelor of Science Degree in Engineering from an ABET accredited engineering school * Engineer-In ...

Horiba Instruments

R&D Machinist

Reno, NV · On-site

... range of scientific R&D and QC measurements. Proven quality and trustworthy performance have ... Knowledge of CNC programming and electronic equipment. * Be able to use various types of tools and ...

Teradata Corporation (SE)

Staff AI Engineer

Carson City, NV · On-site

$169.40 - $254.10/hr

Partner with product management, architecture, research, and cloud platform teams to translate ... Bachelor's degree in Computer Science, Engineering, or equivalent practical experience. * 8+ years ...

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All JobsResearch Scientist Engineer JobsResearch Scientist Engineer Jobs in Reno, NV

Research Scientist Engineer information

See Reno, NV salary details

$36.9K

$105.7K

$142.1K

How much do research scientist engineer jobs pay per year?

As of Sep 6, 2026, the average yearly pay for research scientist engineer in Reno, NV is $105,701.00, according to ZipRecruiter salary data. Most workers in this role earn between $103,700.00 and $103,700.00 per year, depending on experience, location, and employer.

What is a research scientist engineer?

Research Scientist Engineers are professionals who combine scientific research abilities with engineering expertise to solve complex technical problems. They conduct experiments, analyze data, and develop new technologies or processes, often working at the intersection of science and engineering disciplines. Their work is crucial in advancing knowledge and creating innovative solutions in fields like biotechnology, materials science, and information technology. Typically, they collaborate with multidisciplinary teams and may also publish research findings or assist in product development.

What are the key skills and qualifications needed to thrive as a research scientist engineer?

To thrive as a Research Scientist Engineer, you need a strong background in scientific research, engineering principles, and data analysis, typically supported by an advanced degree in a relevant STEM field. Proficiency in laboratory techniques, programming languages (such as Python or MATLAB), and specialized software or instrumentation is often required. Critical thinking, problem-solving abilities, and effective communication are vital soft skills for collaborating within multidisciplinary teams and presenting findings. These skills and qualities are crucial for developing innovative solutions and advancing scientific knowledge in a rigorous, collaborative environment.

How does a research scientist engineer typically collaborate with cross-functional teams in a research environment?

Research Scientist Engineers often work closely with interdisciplinary teams, including data scientists, product managers, and laboratory technicians. Collaboration usually involves regular meetings to align on project goals, share experimental results, and troubleshoot technical challenges. Effective communication is essential, as team members may have diverse technical backgrounds. This collaborative structure ensures that research progresses efficiently from hypothesis to implementation, while also providing opportunities to learn from peers in different specialties.

What is the difference between Research Scientist Engineer vs Research Scientist?

AspectResearch Scientist EngineerResearch Scientist
Required CredentialsMaster's or PhD in relevant field, engineering or science backgroundMaster's or PhD in science or related field
Work EnvironmentLaboratories, R&D departments, engineering teamsLaboratories, academic or industrial research settings
Employer & Industry UsageTech companies, engineering firms, R&D divisionsUniversities, research institutes, industrial labs
Common Search & ComparisonResearch Scientist EngineerResearch Scientist

The main difference between a Research Scientist Engineer and a Research Scientist lies in their focus areas. Research Scientist Engineers typically combine engineering principles with scientific research, often working on applied projects in tech or industrial settings. Research Scientists generally focus on fundamental scientific research, often in academic or basic research environments. Both roles require advanced degrees and involve laboratory work, but their industry applications and daily tasks differ based on their engineering or scientific emphasis.

Is research scientist engineer a good career?

A research scientist engineer is a professional who applies scientific principles to develop new technologies and solutions, often working in labs or R&D environments. The role typically requires strong analytical skills, advanced degrees, and proficiency with tools like MATLAB or Python. It can be a rewarding career for those interested in innovation and scientific discovery, with opportunities across industries such as technology, healthcare, and manufacturing.
Research Scientist Engineer jobs near you
Infographic showing various Research Scientist Engineer job openings in Reno, NV as of August 2026, with employment types broken down into 94% Full Time, and 6% Temporary. Highlights an 94% In-person, and 6% Remote job distribution, with an average salary of $105,701 per year, or $50.8 per hour.

Generative AI Automation Engineer - Remote Job

EnthuZiastic

Sparks, NV • Remote

Full-time

Re-posted 17 days ago

Job description

About Us

Our mission is to bring people together and connect them into a community to nurture each other. We aim to share a conducive environment, a joyous space to grow and excel; a world brimming with selfless love and enough kindness. We strive to enrich each of our lives with kaleidoscopic memories we make here - vibrant, lively, of all hues and colors.

Job Description

​

This is a remote position.

We are seeking a highly skilled and innovative Generative AI Automation Engineer to join our team. The ideal candidate will be responsible for designing, developing, and implementing automation solutions powered by Generative AI models. This role requires a combination of expertise in machine learning, natural language processing, software engineering, and automation frameworks to drive efficiency and innovation in business processes.

Key Responsibilities:

Generative AI Model Implementation:

  • Develop, fine-tune, and deploy Generative AI models (e.g., GPT, Stable Diffusion, DALL-E, etc.) for automation tasks.

  • Integrate pre-trained models or build custom models for specific use cases.

Automation Design and Development:

  • Design and implement AI-driven workflows and solutions to automate repetitive tasks and improve process efficiency.

  • Develop APIs, scripts, and tools for seamless integration of AI models into existing systems.

Data Management:

  • Collect, preprocess, and analyze large datasets for training and validating AI models.

  • Ensure data privacy and compliance with regulatory requirements during data handling.

System Integration:

  • Collaborate with software development and IT teams to integrate Generative AI solutions with enterprise systems.

  • Build and maintain pipelines for real-time AI inference and automation.

Monitoring and Optimization:

  • Continuously monitor AI automation solutions to ensure accuracy, efficiency, and reliability.

  • Optimize models and processes based on performance metrics and user feedback.

Research and Innovation:

  • Stay updated with the latest advancements in Generative AI and automation technologies.

  • Identify opportunities for implementing cutting-edge AI solutions to address business challenges.

Documentation and Collaboration:

  • Document technical designs, workflows, and implementation strategies.

  • Collaborate with cross-functional teams, including product managers, data scientists, and software engineers.

Requirements

Required Qualifications:

  • Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field.

  • Strong programming skills in Python, with experience in frameworks like TensorFlow, PyTorch, or Hugging Face.

  • Proficiency in designing and deploying machine learning models, particularly in Generative AI.

  • Experience with automation tools (e.g., RPA, workflow orchestration tools).

  • Familiarity with cloud platforms (AWS, Azure, or Google Cloud) and containerization technologies (Docker, Kubernetes).

  • Solid understanding of data structures, algorithms, and software design principles.

  • Strong analytical and problem-solving skills.

  • Excellent communication and teamwork abilities.

Preferred Qualifications:

  • Experience with NLP, image generation, or multimodal AI models.

  • Hands-on experience with APIs for AI services like OpenAI, Cohere, or Google AI.

  • Familiarity with prompt engineering and fine-tuning Generative AI models.

  • Knowledge of MLOps practices for deploying and maintaining AI solutions.

  • Previous experience in automation or workflow optimization projects.

Benefits

Why Join Us?

  • Work with cutting-edge Generative AI technologies.

  • Collaborate with a team of forward-thinking innovators.

  • Make a tangible impact on the future of automation and AI-driven processes.

If you are passionate about leveraging Generative AI to create innovative automation solutions, we invite you to apply and be a part of our dynamic and growing team.

Apply