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ML/AI Researcher

Extend is building a modern document processing platform, reimagined with LLMs. We're on a mission to transform how the world works with unstructured data.

As an ML/AI Researcher at Extend, you’ll be responsible for building state-of-the-art document processing infrastructure. The work you do will impact every single customer across the millions of documents that our system ingests and processes every month.

We’re looking to hire engineers who think creatively about problems, keep up to date on the latest in AI research, push for real-world customer impact (not only theory), and are excited about helping businesses tackle one of their most painful problems with AI.

Why you should consider joining

  • We've grown revenue 15x this year to 7-figures in ARR, with our growth continuing to accelerate

  • We have a product loved by users and being used in mission-critical flows at companies like Brex, Checkr, Opendoor, Chime, and many more

  • We're building the next generation document processing platform — the market for document processing has expanded 1000x due to LLMs, and existing solutions are all low NPS

  • We're punching well above our weight, supporting customer and revenue metrics with half the team size of other startups — everyone joining at this stage will have outsized impact

  • We have a very talent dense team (e.g. former founders, world record holders) operating in a high performance culture, in-person in NYC, with high equity ownership

  • We're tackling novel, unsolved problems at the intersection of LLMs, complex data processing, and human ↔ AI interfaces

  • We're backed by world class investors, including YC, Homebrew, investors from OpenAI, and more

We're a lean team, and our customer base is growing too fast for us to keep up. We're looking for talented engineers to join our founding team ahead of our next round and execute on an ambitious roadmap.

Impact

We're powering mission-critical data processing at companies where if we get things wrong, there are real world impacts (e.g. missed payments, people can't move into homes on time).

Here's a few of the complex problems you’ll be working on:

  • Creating multimodal models for document layout awareness

  • Novel chunking strategies for handling long documents

  • Building data pipelines and evaluating model performance

  • Building a self-correcting system that automatically gets better over time

Role

  • Design novel LLM techniques for increasing the complexity of use cases and data streams that Extend can be applied to

  • Monitor existing models in production, understand what’s working well (and what isn’t), and run experiments to solve those issues

  • Have complete ownership over the work you do — as a founding team member, you’ll have the opportunity to truly own large areas of product and engineering and have direct relationship with customers.

  • Work directly with the CEO, CTO, and other founding members and help build out our team.

Average salary estimate

$125000 / YEARLY (est.)
min
max
$100000K
$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 ML/AI Researcher, Extend

At Extend, we're on a mission to radically change how businesses interact with unstructured data through our groundbreaking document processing platform. We’re searching for a talented and innovative ML/AI Researcher to join our growing team in New York. In this role, you'll be at the forefront of developing state-of-the-art document processing infrastructure, impacting the millions of documents our system processes every month for a variety of clients, including notable companies like Brex and Opendoor. We’re eager to find engineers who are not just versed in AI theory, but who are also driven by the potential for real-world applications of their work. If you’re excited about using AI to help businesses overcome challenging problems, this is the place for you. You'll collaborate closely with the founding team and take ownership of major projects, pushing the boundaries of LLMs and data workflows. Your contributions will be crucial as we tackle complex challenges, such as creating multimodal models and building self-correcting systems. Our team values creativity, innovation, and an entrepreneurial spirit. By joining us at this stage, you'll play a vital role in shaping our future and enjoy the rewards of our rapid growth. If you want to be part of a talented, high-performance culture that’s making a real difference, we’d love to hear from you!

Frequently Asked Questions (FAQs) for ML/AI Researcher Role at Extend
What are the responsibilities of an ML/AI Researcher at Extend?

As an ML/AI Researcher at Extend, you will focus on developing advanced document processing solutions using LLMs. Your responsibilities will include designing new LLM techniques, monitoring model performance in production, and experimenting to improve existing systems. You will also have the chance to take ownership of major projects and collaborate directly with the founding team to influence product direction.

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What qualifications do I need to work as an ML/AI Researcher at Extend?

Candidates for the ML/AI Researcher position at Extend should have a solid background in machine learning, particularly in large language models. Strong programming skills and experience with data processing and model evaluation are essential. Additionally, a passion for solving real-world problems with AI and the ability to work collaboratively in a team are highly valued.

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How does Extend's mission influence the work of an ML/AI Researcher?

At Extend, our mission to transform the handling of unstructured data is central to the work of an ML/AI Researcher. Your work will directly impact businesses reliant on accurate and efficient document processing. By developing novel algorithms and improving existing models, you will contribute to the essential functions of companies and help them avoid costly mistakes.

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What qualities does Extend look for in an ML/AI Researcher?

Extend seeks ML/AI Researchers who are innovative thinkers, eager to learn, and unafraid to push boundaries. A strong understanding of AI trends, combined with a practical approach to problem-solving, is fundamental. Our ideal candidate is someone who thrives in a high-performance culture and is excited about making a tangible impact on the growth of our platform.

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What growth opportunities are there for an ML/AI Researcher at Extend?

As part of the founding team at Extend, ML/AI Researchers have significant opportunities for personal and professional growth. You will be involved in crucial decision-making processes and have a chance to shape the company's direction. Additionally, working closely with experienced leaders will enhance your skills and expand your professional network in the AI industry.

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Common Interview Questions for ML/AI Researcher
Can you explain a significant machine learning project you have worked on?

When answering this question, showcase a project that highlights your technical skills and how it relates to document processing or AI. Describe the problem, your approach, the techniques used, and the outcome. Emphasize how this experience prepares you for the role at Extend.

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How do you stay current with advancements in AI and machine learning?

In your response, detail your methods for staying updated, such as following influential research papers, attending conferences, or participating in online communities. Mention specific sources or thought leaders that inspire you and explain why you believe continuous education is important in the fast-evolving AI landscape.

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How would you approach monitoring the performance of production models?

Discuss your strategies for performance evaluation, including setting up metrics, using visualization tools, collecting user feedback, and iterating based on results. Highlight your analytical skills and your ability to pivot strategies when necessary, which is crucial for the role at Extend.

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Describe a time when you faced and overcame a significant challenge in your work.

Use the STAR method (Situation, Task, Action, Result) to illustrate a specific challenge related to ML or data processing. Focus on the actions you took, the solutions you implemented, and the positive outcomes that followed. This will demonstrate your problem-solving abilities and resilience.

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What role do you think document processing plays in modern businesses?

Share your insights on the importance of efficient document processing, especially in the context of unstructured data. Discuss how it can lead to improved operational efficiency, better decision-making, and enhanced customer satisfaction. Align your response with Extend’s mission to illustrate your understanding of the industry.

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How would you design a multimodal model for document layout awareness?

Be prepared to discuss your thought process for designing a model. Consider talking about the types of data inputs you would use, the architectural choices you might make, and how these designs might enhance the processing capabilities of Extend’s platform.

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Can you explain a time when you handled long documents during data processing?

Provide specific examples of techniques you used to manage long documents, such as chunking, summarization, or hierarchical processing. Highlight any relevant tools or libraries you utilized, and speak to the outcomes of your approach.

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What strategies would you implement to improve model performance over time?

Discuss the importance of feedback loops, continuous data feeding, retraining models based on new data, and leveraging user insights. Your answer should reflect a proactive approach, essential for an ML/AI Researcher at Extend.

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How do you prioritize tasks when working on multiple ML projects?

Explain your methods for prioritization, such as assessing impact, deadlines, and resource availability. Provide an example from your experience to illustrate how effective prioritization led to successful project execution.

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How would you involve customers in the development process of AI models?

Talk about techniques such as gathering user feedback through surveys, conducting direct interviews, or A/B testing. Emphasize the importance of customer insights in shaping AI solutions that effectively meet their needs, which aligns with Extend’s focus on customer satisfaction.

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Extend allows any merchant to offer extended warranties and protection plans through our easy-to-integrate APIs or pre-built eCommerce applications. They power extended warranties both online and offl...ine while also providing consumers with a mo...

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Full-time, on-site
DATE POSTED
December 16, 2024

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