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Internship Google Robotics Engineer Jobs in Nevada

Figure

Service Technician - Commercial Site Team

Reno, NV · On-site

$20.50 - $28/hr

Its robots are engineered to perform a variety of tasks in the home and commercial markets. Figure ... Familiarity with computer based tools such as but not limited to CMD prompt, Google Suite, in house ...

Figure

Service Technician - Commercial Site Team

Reno, NV · On-site

$20.50 - $28/hr

Its robots are engineered to perform a variety of tasks in the home and commercial markets. Figure ... Familiarity with computer based tools such as but not limited to CMD prompt, Google Suite, in house ...

Danaher

$94K - $111K/yr

By submitting your interest, you'll be among the first to know when internship opportunities open ... Analyzing data from tools like Google Analytics, PowerBI, Excel, and Looker Studio to extract ...

Danaher

Digital Analyst Internships

Sparks, NV · On-site

$100K - $119K/yr

By submitting your interest, you'll be among the first to know when internship opportunities open ... Analyzing data from tools like Google Analytics, PowerBI, Excel, and Looker Studio to extract ...

Danaher

Digital Analyst Internships

Carson City, NV · On-site

$96K - $114K/yr

By submitting your interest, you'll be among the first to know when internship opportunities open ... Analyzing data from tools like Google Analytics, PowerBI, Excel, and Looker Studio to extract ...

Danaher

Digital Analyst Internships

Las Vegas, NV · On-site

$94K - $111K/yr

By submitting your interest, you'll be among the first to know when internship opportunities open ... Analyzing data from tools like Google Analytics, PowerBI, Excel, and Looker Studio to extract ...

Danaher

Digital Analyst Internships

Henderson, NV · On-site

$89K - $105K/yr

By submitting your interest, you'll be among the first to know when internship opportunities open ... Analyzing data from tools like Google Analytics, PowerBI, Excel, and Looker Studio to extract ...

Danaher

$91K - $108K/yr

By submitting your interest, you'll be among the first to know when internship opportunities open ... Analyzing data from tools like Google Analytics, PowerBI, Excel, and Looker Studio to extract ...

Danaher

$100K - $119K/yr

By submitting your interest, you'll be among the first to know when internship opportunities open ... Analyzing data from tools like Google Analytics, PowerBI, Excel, and Looker Studio to extract ...

Danaher

$96K - $114K/yr

By submitting your interest, you'll be among the first to know when internship opportunities open ... Analyzing data from tools like Google Analytics, PowerBI, Excel, and Looker Studio to extract ...

Motional

Remote Vehicle Assistance Agent

Las Vegas, NV · On-site +1

Work closely with various engineering teams for system testing and testing of new scenarios * Work ... Prior experience in autonomous vehicle operations, automotive, robotics, fleet operations ...

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Internship Google Robotics Engineer information

What does an Internship Google Robotics Engineer do?

An Internship Google Robotics Engineer works as part of Google's robotics teams, assisting in the research, design, and development of robotic systems and technologies. Interns may collaborate on projects involving hardware, software, machine learning, or artificial intelligence to help solve real-world problems. Their responsibilities often include programming, testing prototypes, data analysis, and working closely with experienced engineers. This role provides hands-on experience and mentorship, giving interns a chance to contribute to innovative projects while building valuable technical skills.

What types of projects can I expect to work on as an Internship Google Robotics Engineer, and how much autonomy will I have?

As an Internship Google Robotics Engineer, you will typically be involved in hands-on projects that contribute to ongoing research or the development of new robotic systems. Projects may include tasks such as improving perception algorithms, testing hardware prototypes, or developing software for robot navigation and manipulation. Interns generally work closely with experienced engineers and researchers, receiving mentorship while also being encouraged to take ownership of specific project components. This collaborative environment allows you to develop technical skills and gain insight into how cross-functional teams operate within Google's robotics division.

What are the key skills and qualifications needed to thrive as an Internship Google Robotics Engineer, and why are they important?

To excel as an Internship Google Robotics Engineer, a solid understanding of robotics fundamentals, programming (especially in Python or C++), and coursework in computer science, engineering, or a related field is typically required. Familiarity with ROS (Robot Operating System), simulation tools like Gazebo, and version control systems such as Git are commonly expected; relevant project experience or academic research is a plus. Problem-solving ability, teamwork, and effective communication are vital soft skills that distinguish top candidates in collaborative and fast-paced environments. These competencies are crucial for contributing to innovative projects, adapting to complex challenges, and ensuring effective collaboration within multidisciplinary teams.
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Internship Google Robotics Engineer jobs near you

Generative AI Automation Engineer - Remote Job

EnthuZiastic

Sparks, NV • On-site

Other

Re-posted 10 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