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Research Scientist

About Us

Companies want to train their own large models on their own data. The current industry standard is to train on a random sample of your data, which is inefficient at best and actively harmful to model quality at worst. There is compelling research showing that smarter data selection can train better models faster—we know because we did much of this research. Given the high costs of training, this presents a huge market opportunity. We founded DatologyAI to translate this research into tools that enable enterprise customers to identify the right data on which to train, resulting in better models for cheaper. Our team has pioneered deep learning data research, built startups, and created tools for enterprise ML.

Following our $11.65M Seed round last September, we've raised a $46M Series A led by Felicis Ventures. Our investors include Radical Ventures, Amplify Partners, Microsoft, Amazon, and notable angels like Jeff Dean, Geoff Hinton, Yann LeCun and Elad Gil. With over $57.5M in total funding, we're rapidly scaling our team and computing resources to revolutionize data curation across modalities.

Join us in pushing the boundaries of what's possible in AI! Learn more about the company here.

About the Role

As a Research Scientist at DatologyAI, you will conduct research investigating how intervening on training data can improve the quality and shape the behavior of deep learning models.

  • Transform messy literature into practical improvements. The research literature is vast, rife with ambiguity, and constantly evolving. You will use your skills as a scientist to source, vet, implement, and improve promising ideas from the literature and of your own creation.

  • Conduct science driven by real-world needs. At DatologyAI, we understand that conference reviewers and academic benchmarks don’t always incentivize the most impactful research. Your research will be guided by concrete customer needs and product improvements.

  • Science is more than just experiments. We expect our Research Scientists to collaborate closely with engineers, talk to customers, and shape the product vision.

  • Nobody knows how to do your work better than you. We believe that scientists do their best work when they have the autonomy to pursue problems in the manner they prefer, and we will ensure that you are equipped with the context and resources you need to succeed.

This role is based in Redwood City, CA. We are in person 4 days a week and offer relocation assistance to new employees. We provide visa sponsorship for candidates selected for this role.

About You

We would like to hire researchers with practical experience and/or publications related to any of the following research topics:

  • Data research

    • Data pruning/curation

    • Curriculum learning

    • Synthetic data generation

    • Dataset distillation

    • Effects of training data on model behavior

  • Embedding models

  • Semantic search

  • Efficient ML

  • We would like to hire researchers with practical experience and/or publications related to training large vision (especially video), language, and multimodal models.

Candidates should also have the following qualifications:

  • Strong understanding of the fundamentals of deep learning.

  • Sufficient software engineering + deep learning framework (PyTorch or a willingness to learn PyTorch) skills to conduct large-scale research experiments and build production prototypes.

  • Demonstrated track record of success in deep learning research, whether papers, tools, or other research artifacts.

We would love it if candidates have:

  • Experience with data management and distributed data processing solutions (e.g. Spark, Snowflake, etc.)

  • Experience building + shipping ML products

Candidates do not need a PhD or extensive publications. Some of the best researchers we’ve worked with have had no formal training in machine learning, and obtained all of their experience by working in industry and building products. We believe that adaptability, combined with exceptional communication and collaboration skills are the most important ingredients for successful research in a startup environment.

Compensation and Benefits

At DatologyAI, we are dedicated to rewarding talent with highly competitive salary and significant equity. The salary for this position ranges from $150,000 to $250,000.

  • The candidate's starting pay will be determined based on job-related skills, experience, qualifications, and interview performance.

We also offer a comprehensive benefits package to support our employees' well-being and professional growth:

  • 100% covered health benefits (medical, vision, and dental).

  • 401(k) plan with a generous 4% company match.

  • Unlimited paid time off (PTO) policy.

  • Annual $2,000 wellness stipend.

  • Annual $1,000 learning and development stipend.

  • Daily lunches and snacks are provided in our office!

  • Relocation assistance for employees moving to the Bay Area.

Average salary estimate

$200000 / YEARLY (est.)
min
max
$150000K
$250000K

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 Research Scientist, DatologyAI

DatologyAI is on the lookout for a talented Research Scientist to join our bustling team in Redwood City! If you’re passionate about transforming how training data can enhance deep learning models, this role is perfect for you. At DatologyAI, we take pride in turning extensive research into practical tools for enterprise customers, helping them identify the most effective data for training. Your main responsibilities will include sifting through a vast array of literature to unearth practical improvements while meeting real-world customer needs. We see science as a collaborative effort, so you'll actively work alongside engineers, engage with customers, and help shape our product vision. We value the unique insights you can bring—your autonomy to tackle problems your way is essential to our mission. With a supportive environment, ample resources, and a focus on meaningful research, you'll see your ideas come to fruition in innovative ways. We’re excited to elevate the AI landscape and would love for you to be part of our journey. Join us at DatologyAI and make an impact in the industry with your expertise in data research, data curation, and deep learning!

Frequently Asked Questions (FAQs) for Research Scientist Role at DatologyAI
What are the responsibilities of a Research Scientist at DatologyAI?

As a Research Scientist at DatologyAI, your key responsibilities include researching how alterations to training data can enhance the quality and capability of deep learning models. You will analyze literature to extract practical improvements, conduct experiments driven by real-world applications, and collaborate with engineers to align your research with product developments. Your work will focus on utilizing data effectively to shape model behavior, ensuring that you're directly contributing to impactful results for our customers.

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What qualifications are needed for the Research Scientist position at DatologyAI?

We are looking for researchers with practical experience in data research, data pruning, or related areas like curriculum learning and synthetic data generation. A solid understanding of deep learning fundamentals is essential, along with the capability to conduct large-scale research experiments and build prototypes, preferably using frameworks like PyTorch. While a PhD isn't necessary, having a history of success in deep learning research or product development will certainly give you a competitive edge.

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What is the work environment like for a Research Scientist at DatologyAI?

At DatologyAI, we foster a collaborative and innovative work environment where Research Scientists have the autonomy to pursue their research interests. We believe that great ideas come from a supportive atmosphere where scientists can engage with engineers, customers, and stakeholders. The role is mainly in-person for four days a week in Redwood City, offering a vibrant team dynamic that encourages creativity and teamwork.

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Does DatologyAI offer relocation assistance for the Research Scientist role?

Yes, DatologyAI provides relocation assistance for our new Research Scientist team members moving to the Bay Area. We understand that making a move can be a significant decision, and we aim to support our employees during this transition to help them feel settled and ready to contribute to our mission.

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What is the salary range for a Research Scientist at DatologyAI?

The salary for the Research Scientist position at DatologyAI ranges from $150,000 to $250,000, depending on your skills, experience, qualifications, and interview performance. We reward talent competitively, and our comprehensive benefits package fully supports employee well-being and professional growth.

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Common Interview Questions for Research Scientist
How do you approach transforming literature into practical improvements for deep learning models?

When addressing this question, focus on your analytical process for extracting valuable insights from research papers. Explain how you assess the relevance of literature to current challenges and how you adapt those findings into actionable improvements that align with customer needs.

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Can you describe a time you faced challenges when conducting large-scale research experiments?

Be prepared to discuss specific challenges you encountered during a research project, such as data management issues or technical barriers. Emphasize how you approached problem-solving, whether through collaboration, adapting methodologies, or utilizing new technologies to overcome these obstacles.

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What techniques do you employ for effective data pruning or curation?

Share relevant strategies and tools you've utilized for data pruning, such as statistical methods, machine learning algorithms, or domain-specific techniques. Highlight how these efforts improved model performance, explaining why they are crucial in the research process.

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How do you ensure your research is aligned with real-world customer needs?

Discuss your process for engaging with customers and stakeholders throughout the research phase. Explain how you gather insights from their challenges and priorities, and how this feedback shapes your research questions and goals to deliver meaningful results.

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How do you prioritize between different research topics in a fast-paced startup environment?

Illustrate how you evaluate the potential impact of various research avenues against the needs of the business. Provide examples of how you have used strategic planning and collaboration with cross-functional teams to set priorities effectively.

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What experience do you have with deploying ML products in a team setting?

Detail your role in deploying machine learning products, emphasizing collaboration with engineers and product managers. Discuss the importance of communication in ensuring that the product aligns with research goals and user expectations.

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How would you approach integrating synthetic data generation into your research?

Explain your understanding of synthetic data generation techniques and their potential advantages in research. Provide examples where you've utilized synthetic data effectively in past projects or how you plan to implement it in your current research efforts.

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What deep learning frameworks are you familiar with, and how have you used them in your research?

Share your hands-on experience with deep learning frameworks like PyTorch or TensorFlow, detailing specific projects where you've utilized them. Emphasize any advanced capabilities you've leveraged to solve complex research problems or drive model efficiency.

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How do you stay updated with the latest developments in deep learning research?

Discuss your methods for staying current, whether through following prominent researchers, reading journals, attending conferences, or engaging in online communities. Highlight your commitment to continuous learning in the field of AI and deep learning.

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Why do you want to work at DatologyAI as a Research Scientist?

In your response, express your enthusiasm for DatologyAI's mission to leverage better data for model training. Discuss how their emphasis on real-world applications aligns with your values, and how you believe your research interests and skills can directly contribute to their goals.

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datologyai builds tools to automatically select the best data on which to train deep learning models. our tools leverage cutting-edge research—much of which we perform ourselves—to identify redundant, noisy, or otherwise harmful data points. the a...

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DATE POSTED
January 22, 2025

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