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Remote Research Computing Jobs in California (NOW HIRING)

Conducting research on the latest advancements in AI/ML and incorporating those findings into ... Experience with distributed computing and parallel processing frameworks, such as Apache Spark and ...

Senior Director, AI

Bodega Bay, CA · On-site +1

$257K - $402K/yr

Drive research into novel AI solutions for complex robotics challenges, such as real-time planning ... Forecast and manage the budget for cloud computing resources (GPUs, TPUs) necessary for large-scale ...

Senior Engineer, Server - NBA 2K

Novato, CA · On-site +1

$130K - $174K/yr

Build and maintain large-scale computing solutions that handle millions of concurrent players ... Demonstrated ability to research, evaluate, and integrate emerging technologies and trends to ...

In this role, you will make a positive impact on our research, predictive modeling, and long-term ... This is full-time remote position. Key Responsibilities * Develop, deploy and monitor predictive ...

Principal Software Engineer

South San Francisco, CA · Remote

$162K - $217K/yr

Remote optional Job Type: Full-time About the Role We're seeking a Principal Software Engineer to ... We build the cloud infrastructure, workflow platforms, and data platforms that R&D uses to do its ...

Decision Scientist II, Mobile

Santa Monica, CA · On-site +1

$130K - $155K/yr

Proficient in statistical computing and scripting languages such as Python, R, SQL Preferred ... D. in a quantitative field such as mathematics, computer science, operations research, or economics

Senior Software and System Architect

Santa Clara, CA · Remote

$152K - $206K/yr

The position includes researching new technologies with a focus on defining the architecture of ... Remote Your base salary will be determined based on your location, experience, and the pay of ...

Showing results 41-60

Remote Research Computing information

What is remote research computing?

Remote research computing refers to the use of computing resources, such as high-performance computers or cloud-based systems, that can be accessed from anywhere via the internet. This enables researchers to perform complex data analysis, simulations, or computational experiments without being physically present at the location of the hardware. It is especially useful for collaborative projects, large datasets, and situations where local computing power is insufficient. Researchers use secure connections and specialized software to interact with these remote resources efficiently.

What are some common challenges faced by professionals working in remote research computing, and how can they be addressed?

Professionals in Remote Research Computing often encounter challenges such as ensuring secure and efficient data transfer, collaborating with geographically dispersed teams, and troubleshooting computational issues without in-person support. To address these challenges, it's important to become proficient with remote collaboration tools, maintain clear communication with team members, and stay updated on best practices for data security and cloud resource management. Many organizations also provide virtual onboarding and regular training sessions to help remote research computing staff adapt to evolving technologies and workflows.

What are the key skills and qualifications needed to thrive in remote research computing, and why are they important?

To excel in Remote Research Computing, you need a strong background in computer science, data analysis, and scientific research methods, often supported by an advanced degree in a relevant field. Familiarity with high-performance computing (HPC) systems, cloud platforms, programming languages (such as Python or R), and experience with collaborative tools are typically required. Excellent problem-solving, communication, and self-management skills help professionals work effectively across virtual teams and complex projects. These skills and qualities are vital to ensure efficient research workflows, accurate data handling, and successful collaboration in a remote, technology-driven environment.

What are the most commonly searched types of Research Computing jobs in California?

The most popular types of Research Computing jobs in California are:

What cities in California are hiring for Remote Research Computing jobs?

Cities in California with the most Remote Research Computing job openings:

Full-time

Re-posted 17 days ago


Job description

About Orbofi


Orbofi is a pioneering AI-generated content engine, built specifically for Web3, games, and online communities. Our mission is to revolutionize the way content is created and consumed by harnessing the power of AI. We enable creators, developers, and businesses to generate high-quality, engaging content that captivates their audiences.


We're a rapidly expanding company in search of a highly skilled and experienced AI/ML Engineer to join our team. If you're passionate about developing state-of-the-art AI models and have a deep understanding of diffusion models, LLMs, Python, and other essential skills, we'd love to hear from you!
Our mission: Boost human creativity and human globalization 


Responsibilities


As an AI/ML Engineer at Orbofi, you'll be responsible for:

  • Designing, implementing, and maintaining cutting-edge AI models, with a focus on diffusion models and large language models (LLMs) for content generation.
  • Collaborating with cross-functional teams, including data scientists, engineers, and product managers, to define, develop, and deploy AI-generated content solutions.
  • Conducting research on the latest advancements in AI/ML and incorporating those findings into Orbofi's AI-generated content engine.
  • Optimizing existing AI models and algorithms for improved performance, scalability, and efficiency.
  • Ensuring the quality, accuracy, and robustness of AI-generated content by implementing rigorous testing and validation processes.
  • Developing and maintaining clear documentation for AI models, algorithms, and systems.

Qualifications


To excel in this role, you'll need:


  • 3+ years of hands-on experience in AI/ML research or development, with a strong focus on diffusion models and LLMs.
  • Proficiency in Python, TensorFlow, and PyTorch, along with a deep understanding of AI/ML libraries and tools.
  • Experience with distributed computing and parallel processing frameworks, such as Apache Spark and Hadoop.
  • A strong grasp of mathematical and statistical concepts, including linear algebra, calculus, and probability theory.
  • A track record of publishing research papers in top-tier AI/ML conferences or journals is a plus.
  • Excellent problem-solving, analytical, and communication skills, with the ability to work effectively in a collaborative, fast-paced environment.

Why Work at Orbofi


At Orbofi, you'll have the opportunity to:

  • Drive innovation in the AI-generated content space and make a lasting impact on the industry.
  • Collaborate with a diverse, talented, and passionate team dedicated to pushing the boundaries of AI.
  • Enjoy a flexible work environment, with opportunities for remote work and a healthy work-life balance.
  • Benefit from a competitive compensation package, including equity options and comprehensive benefits.
  • Thrive in a culture that values innovation, collaboration, and continuous learning.

Join the Orbofi Team


If you're a highly skilled AI/ML engineer with a passion for shaping the future of AI-generated content and Web3, we'd be thrilled to have you on our team. Apply now and help us redefine content creation in the digital age!

To apply, please submit your resume, a cover letter detailing your relevant experience, and any portfolio, GitHub profile, or research publications showcasing your AI/ML achievements.

Orbofi is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. We offer great competitive compensation, a flexible schedule, and a great mission to boost human creativity and human globalization

Employment Type: FULL_TIME