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Remote Robotics Research Jobs in California (NOW HIRING)

General Motors

Principal AI/ML Engineer

Sunnyvale, CA · On-site +1

$296K - $423K/yr

... research to production deployment on vehicles.This role requires someone who canset technical ... MS or PhD in Computer Science, Robotics, Machine Learning, orrelatedfield.

Thermo Fisher Scientific

Sr Staff AI Architect

Carlsbad, CA · On-site +1

$143K - $185K/yr

This is a remote role open in the US only. What will you do? The AI & Data Architect will define ... Experience architecting enterprise RPA (UiPath) platforms. * Knowledge of Intelligent Process ...

Thermo Fisher Scientific

Sr Staff AI Architect

Carlsbad, CA · On-site +1

$143K - $185K/yr

This is a remote role open in the US only. What will you do? The AI & Data Architect will define ... Experience architecting enterprise RPA (UiPath) platforms. * Knowledge of Intelligent Process ...

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Remote Robotics Research information

What are the key skills and qualifications needed to thrive as a remote robotics researcher?

To thrive as a Remote Robotics Researcher, you need a strong background in robotics, computer science, and engineering, often supported by an advanced degree (Master's or PhD) in a related field. Familiarity with programming languages (such as Python or C++), robotics operating systems (like ROS), and simulation tools (e.g., Gazebo, MATLAB) is typically required. Exceptional problem-solving, independent research skills, and effective virtual communication help you excel in remote, collaborative environments. These competencies are crucial for advancing robotics innovation while efficiently contributing to distributed research teams.

What are some common challenges faced by professionals in remote robotics research, and how are they typically addressed?

One common challenge in remote robotics research is effective collaboration across distributed teams, especially when working in different time zones. Researchers often rely heavily on digital communication tools and version control systems to coordinate experiments, share results, and troubleshoot issues in real-time. Another challenge is accessing and managing physical robotics hardware remotely, which is often addressed by using simulation environments and remote access protocols. Successful professionals in this field develop strong communication skills, adaptability, and familiarity with remote testing platforms to overcome these hurdles.

What is remote robotics research?

Remote robotics research involves studying and developing robotic systems and technologies from a location that is not physically on-site, often using digital communication tools and remote access to hardware or simulations. Researchers in this field might design algorithms, run simulations, or control robots over the internet to test new ideas. This approach enables collaboration across different regions and can reduce costs associated with travel and physical infrastructure. It also allows researchers to work with advanced robotics platforms that may be located in specialized labs or facilities around the world.
What are the most commonly searched types of Robotics Research jobs in California? The most popular types of Robotics Research jobs in California are:
What are popular job titles related to Remote Robotics Research jobs in California? For Remote Robotics Research jobs in California, the most frequently searched job titles are:
What job categories do people searching Remote Robotics Research jobs in California look for? The top searched job categories for Remote Robotics Research jobs in California are:
What cities in California are hiring for Remote Robotics Research jobs? Cities in California with the most Remote Robotics Research job openings:
Remote Robotics Research jobs near you

Generative AI Automation Engineer - Remote Job

EnthuZiastic

San Diego, CA • Remote

Full-time

Re-posted 18 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