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Applied AI Research Engineer

At World Labs, our mission is to revolutionize artificial intelligence by developing Large World Models, taking AI beyond language and 2D visuals into the realm of complex 3D environments, both virtual and real. We're the team that's envisioning a future where AI doesn't just process information, but truly understands and interacts with the world around us.

We're looking for the overachievers, the visionaries, and the relentless innovators who aren't satisfied with the status quo. You know that person who's always dreaming up the next big breakthrough? That's us. And we want you to be part of it.

We are looking for an Applied AI Research Engineer to join our team. This is a hands-on role where you'll work on mission-critical projects leveraging large-scale computing resources and collaborating closely with product teams to create transformative AI features. This role will requires you to develop and implement cutting-edge generative AI features for integration into our products. You will collaborate with research and product teams to fine-tune models, including creating datasets, performing model training, and conducting evaluations. Build demos and prototype apps to rapidly iterate and explore new user experiences enabled by specific fine-tuned models. Incorporate user feedback into the R&D process to help drive directions for future experimentation.

Key Qualifications:

  • Programming: Strong generalist Python programming skills with extensive experience using PyTorch.

  • AI Expertise: Hands-on experience with visual AI models, including diffusion models and transformers. This experience can come from professional work, academic research, or hobby projects with open-source tools like Stable Diffusion or ComfyUI.

  • Research Implementation: Passion for experimenting with and applying the latest advancements in visual generative AI to real-world applications.

  • Problem-Solving: Strong analytical mindset and ability to design solutions for complex problems in AI systems.

  • Background in training or fine-tuning visual generative AI models, preferred

  • Full-stack experience prototyping web apps, a track record of working on shipping products or a portfolio of side projects, preferred

  • Ability to mock up an MVP to demonstrate and explore the capabilities of an AI model, preferred

  • Experience developing visual creative tools or experiences, preferred

Who You Are:

  • Fearless Innovator: We need people who thrive on challenges and aren't afraid to tackle the impossible.

  • Resilient Builder: Impacting Large World Models isn't a sprint; it's a marathon with hurdles. We're looking for builders who can weather the storms of groundbreaking research and come out stronger.

  • Mission-Driven Mindset: Everything we do is in service of creating the best spatially intelligent AI systems, and using them to empower people.

  • Collaborative Spirit: We're building something bigger than any one person. We need team players who can harness the power of collective intelligence.

We're hiring the brightest minds from around the globe to bring diverse perspectives to our cutting-edge work. If you're ready to work on technology that will reshape how machines perceive and interact with the world - then World Labs is your launchpad. 

Join us, and let's make history together.

Average salary estimate

$135000 / YEARLY (est.)
min
max
$120000K
$150000K

If an employer mentions a salary or salary range on their job, we display it as an "Employer Estimate". If a job has no salary data, Rise displays an estimate if available.

What You Should Know About Applied AI Research Engineer, World Labs

At World Labs, we're searching for a passionate and innovative Applied AI Research Engineer to help us push the boundaries of artificial intelligence in the heart of San Francisco. Our mission is all about revolutionizing how AI interacts with the world, venturing into complex 3D environments that go beyond traditional language and visuals. If you’re that visionary individual who thrives on challenges and sees the impossible as a mere puzzle to solve, we want you on our team. In this hands-on role, you'll engage with cutting-edge technologies, utilizing large-scale computing resources to develop AI features that matter. By collaborating with our product teams, you'll have the opportunity to create and fine-tune powerful generative AI models. Your work will involve everything from crafting datasets, performing model training, to conducting evaluations, all while collecting user feedback to guide future experiments. With your strong Python programming skills and experience in visual AI models like diffusion models and transformers, you’ll contribute to transformative projects that change how AI perceives and interacts with its environment. At World Labs, you’ll find a collaborative spirit among fearless innovators and resilient builders – a place where your ideas can become reality. So, if you’re ready to leave a lasting impact in the field of spatially intelligent AI systems, come join us and let’s make history together!

Frequently Asked Questions (FAQs) for Applied AI Research Engineer Role at World Labs
What are the responsibilities of an Applied AI Research Engineer at World Labs?

As an Applied AI Research Engineer at World Labs, your primary responsibilities will involve developing and implementing generative AI features that integrate into our products. You'll collaborate with various teams, manage datasets, train models, and conduct evaluations. Additionally, you'll build demos and prototype applications to explore user experiences, iterating rapidly based on feedback. This role is all about innovation and real-world application of AI technologies.

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What skills are necessary for the Applied AI Research Engineer position at World Labs?

To excel as an Applied AI Research Engineer at World Labs, strong Python programming skills are essential, along with significant experience using PyTorch. You'll also need hands-on expertise in visual AI models, preferably including diffusion models and transformers. A problem-solving mindset, research implementation experience, and familiarity with full-stack development and creative tools will give you a competitive edge in this role.

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What qualifications are preferred for an Applied AI Research Engineer at World Labs?

World Labs prefers candidates for the Applied AI Research Engineer position to have a background in training or fine-tuning visual generative AI models. While it's not required, having full-stack experience in prototyping web apps and a strong portfolio of previous work or side projects will enhance your application. A passion for experimenting with the latest advancements in AI will also set you apart as a candidate.

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What kind of projects can an Applied AI Research Engineer expect to work on at World Labs?

An Applied AI Research Engineer at World Labs will work on mission-critical projects focusing on AI systems designed to interact with real and virtual complex 3D environments. You’ll be involved in developing groundbreaking generative AI features that reshape user experiences and contribute significantly to the advancement of spatially intelligent AI technologies. This role ensures that each project has a real-world impact.

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What personal attributes does World Labs look for in an Applied AI Research Engineer?

World Labs seeks fearless innovators and resilient builders to join them as Applied AI Research Engineers. They value a mission-driven mindset, collaborative spirit, and the ability to tackle challenges head-on. If you thrive in a team environment and can leverage collective intelligence to produce extraordinary results, then you'll fit right in at World Labs.

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Common Interview Questions for Applied AI Research Engineer
Can you describe your experience with generative AI models?

When answering this question, provide specific examples of models you've worked with, such as diffusion models or transformers. Highlight your role in training, fine-tuning, and implementing these models in real-world applications. Discuss your hands-on experience with tools like PyTorch and any insights gained from experimentation.

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How do you approach problem-solving within AI systems?

Demonstrate your analytical mindset by explaining a structured approach to problem-solving. Start by identifying the problem, gathering data, iterating on possible solutions, and applying innovative techniques. Share particular instances where you solved complex issues, ideally relating them back to AI or machine learning contexts.

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What collaborative experiences have you had in AI projects?

Use this opportunity to highlight teamwork and collaboration. Detail specific projects where you worked closely with researchers or product teams, describing the dynamics of your role and how collective intelligence led to significant breakthroughs. Discuss any tools or methods you employed to facilitate collaboration.

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How do you incorporate user feedback into your AI research process?

Articulate your methodology for integrating user feedback, emphasizing the importance of iterative development. Discuss how feedback informs model adjustments and influences future experiments. Provide concrete examples of when user input led to positive outcomes in your projects.

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What are the latest advancements in AI that excite you?

Show your enthusiasm for AI advancements. Discuss particular technologies or research areas that excite you, such as developments in generative AI or new algorithms. Explain why these advancements matter in real-world applications and how they could affect the future of AI.

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Describe a challenging AI problem you've faced and how you solved it.

Select a specific challenging problem and narrate the situation clearly. Break down the steps you took to find a solution, including any analytical methods, tools, or technologies you employed. Highlight not only the technical aspects but also insights you gained during the process.

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How do you stay updated with the latest AI trends and technologies?

Discuss various strategies you use, such as attending conferences, participating in online communities, or reading relevant research. Mention any key influencers, journals, or websites you follow. This shows your commitment to continual learning and staying at the forefront of the AI field.

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Can you give an example of a project where you applied AI to a real-world problem?

Provide a detailed narrative of a specific project where you applied AI to address a real-world issue. Discuss the problem, your approach to the solution, and the impact of your work. Emphasize both the technical elements and the implications of the project results.

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What tools and programming languages do you prefer for AI development?

Highlight your proficiency with languages and tools, specifically emphasizing Python and libraries such as PyTorch. Discuss why you prefer these tools in the context of building robust AI applications. Provide examples if applicable, showcasing your hands-on experience.

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Why do you want to work at World Labs as an Applied AI Research Engineer?

Craft a thoughtful response that connects your passions and skills to the mission of World Labs. Speak about your enthusiasm for working at the intersection of AI and real-world applications, and how you align with their collaborative culture. Express excitement about contributing to transformative AI technologies.

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DATE POSTED
December 3, 2024

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