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Research Scientist Intern - France

Jasper is the purpose-built generative AI platform for marketing. Our mission is to elevate marketers with the power of AI, to achieve better outcomes through their workflows and open up new business opportunities. Jasper securely trains on brand and strategy, accelerates content and campaign production, and helps Marketers measure and optimize performance as part of an end-to-end solution.  

Jasper has been recognized as "one of the Top 15 Most Innovative AI Companies of 2024" by Fast Company. We have nearly 100k marketing team users with a growing roster of Enterprise and Fortune 500 logos including: Morningstar, Anthropologie, Prudential, Cushman & Wakefield, Wayfair, and more. Our teams are building multi-modal AI and working with the top AI platforms. We were one of the first partners of both OpenAI and Anthropic. With the Clipdrop acquisition, Jasper is redefining visual marketing across all modalities, offering advanced image features like background replacement, image upscaling, product staging, and more to our customers. We are transforming how marketers create, innovate, and captivate audiences.

We value being customer-obsessed and helping each other achieve the best outcomes through collaboration. We’re not just building solutions, we’re creating experiences that captivate and amaze us. We strive to deliver moments of wonder and delight that enable our customers to be more effective and creative in ways they never thought possible. Learn more at jasper.ai.

About the Role

Jasper Research is seeking a highly motivated intern to advance the frontiers of image-editing applications. In this role, you will be instrumental in developing state-of-the-art image models while collaborating closely with our talented team of researchers and engineers. The internship duration is 4 to 6 months, with a preference for a 6-month commitment.

Context

Diffusion Models (DM) have proven to be one of the most efficient class of generative models for many tasks ranging from image synthesis, video generation, audio or 3D applications. They have raised particular interest and enthusiasm for text-to-image applications where they outperform other approaches. However, their usability for real-time applications remains limited by the intrinsic iterative nature of their sampling mechanism. At inference time, these models aim at iteratively denoising a sample drawn from a Gaussian distribution to finally create a sample belonging to the data distribution. Nonetheless, such a denoising process requires multiple evaluations of a potentially very computationally costly neural function such that their faster counterparts such as Generative Adversarial Networks (GANs) and Variational AutoEncoders (VAEs) still tend to be preferred.

Goal of the internship

The main goal of this internship is to explore ideas to improve the sampling speed of diffusion models by exploring diverse recent ideas such as rectified flows or consistency models that allowed to reduce the number of sampling steps requires to sample efficiently from a trained diffusion model. This internship is a research internship the end goal of which is to write a research paper and share open-source if enough material

We have currently identified two potential starting paths for the internship:

  1. Distillation-based methods that aims at extracting the knowledge of a pre-trained teacher model with a student model. In this approach the student is trained to predict the output of the teacher but in fewer steps

  2. Simulation-free techniques such as rectified flows that can learn straighter ODE trajectories leading to potentially less approximation errors when solving the ODE (at sampling time).

Required Qualifications

  • Currently enrolled in a Ph.D. or M.Sc program in Machine Learning, applied mathematics or computer science.

  • A strong interest in the field, with a potentially proven track record through personal projects or previous experience in image generation.

  • Being available for period of 4 to 6 months (6 months preferred)

  • The ideal candidate will possess a strong critical thinking and problem-solving mindset, coupled with excellent teamwork skills.

Nice to have

  • Strong programming Python skills, including software engineering best practices to produce high-quality code.

  • Experience with distributed training and large-scale systems with PyTorch

  • Proven track record of achieving significant results as demonstrated by first-authored publications in major conferences and journals such as CVPR, ECCV, ICCV, ICLR, NeurIPS

What We Offer

  • Flexible remote work options with an office in central Paris

  • Competitive compensation package

Our Culture

We value practical problem-solving abilities and a genuine passion for data. We're looking for data engineers who can transform raw data into actionable insights that drive business success. While we maintain high standards, we encourage applications from candidates who may not meet all criteria but demonstrate strong potential and a commitment to continuous learning.

Our goal is to be a diverse workforce that is representative at all job levels as we know the more inclusive we are, the better our product will be. We are committed to celebrating and supporting our differences and that diversity is essential to innovation and makes us better able to serve our customers. We hire people of all levels and backgrounds who are excited to learn and develop their skills. 

We are an equal opportunity employer. Applicants will not be discriminated against because of race, color, creed, sex, sexual orientation, gender identity or expression, age, religion, national origin, citizenship status, disability, ancestry, marital status, veteran status, medical condition, or any protected category prohibited by local, state or federal laws.

By submitting this application, you acknowledge that you have reviewed and agree to Jasper's CCPA Notice to Candidates, available at legal.jasper.ai/#ccpa.

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What You Should Know About Research Scientist Intern - France, Jasper AI

Join Jasper as a Research Scientist Intern in Paris, where you’ll be at the forefront of innovating state-of-the-art image-editing applications. In this exciting role, you'll collaborate with a talented team of researchers and engineers to enhance diffusion models, particularly focusing on improving their sampling speed for real-time applications. At Jasper, we’re committed to pushing the boundaries of what’s possible in generative AI, particularly for marketing, and we need your brainpower to help us achieve that. Over the course of 4 to 6 months (we prefer 6 months!), your primary mission will be exploring cutting-edge ideas like distillation-based methods and simulation-free techniques. This internship not only provides invaluable work experience but also offers the opportunity to contribute to research papers to share your findings with the wider community. A strong foundation in machine learning, applied mathematics, or computer science is beneficial, especially if you have a flair for image generation and a knack for critical thinking. With our flexible remote work options and a vibrant office in the heart of Paris, you’ll love being part of our dynamic culture where innovation meets creativity. If you're curious, eager to learn, and passionate about shaping the future with AI, we would love for you to apply and become a part of our journey at Jasper.

Frequently Asked Questions (FAQs) for Research Scientist Intern - France Role at Jasper AI
What responsibilities does a Research Scientist Intern at Jasper in Paris have?

As a Research Scientist Intern at Jasper in Paris, you will engage in developing and refining state-of-the-art image models. Your core responsibilities will involve exploring innovative approaches to enhance sampling speeds for diffusion models, collaborating closely with researchers and engineers, and potentially publishing your findings in research papers.

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What qualifications are needed for the Research Scientist Intern position at Jasper?

For the Research Scientist Intern role at Jasper, candidates should ideally be enrolled in a Ph.D. or M.Sc. program in machine learning, applied mathematics, or computer science. A strong interest and background in image generation is essential, along with proficiency in critical thinking and problem-solving skills.

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How long is the Research Scientist Internship at Jasper in Paris?

The Research Scientist Internship at Jasper lasts between 4 to 6 months, with a preference for candidates willing to commit to a 6-month duration. This time frame provides ample opportunities for meaningful contributions and learning experiences.

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What kind of projects can a Research Scientist Intern expect to work on at Jasper?

Interns at Jasper can expect to work on advancing the frontiers of image-editing applications. Specific projects may focus on improving diffusion model sampling speeds through methods like distillation and simulation-free techniques, contributing to both theoretical and practical advancements in AI.

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Is programming experience necessary for the Research Scientist Intern role at Jasper?

While strong programming skills, especially in Python, and knowledge of software engineering practices are preferred, they are not strictly mandatory. A genuine passion for data and problem-solving is crucial, and candidates are encouraged to showcase their potential, even if they may not meet all technical criteria.

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Common Interview Questions for Research Scientist Intern - France
Can you explain your experience with machine learning, specifically related to image generation?

In answering this question, detail any projects or research you have undertaken in machine learning, emphasizing what you learned about image generation. Highlight specific technologies used, challenges faced, and outcomes to show your hands-on experience.

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What interests you most about working with diffusion models at Jasper?

Share your genuine interest in the applications of diffusion models and how they align with your academic pursuits. Discuss your excitement about contributing to innovative solutions and how the role reflects your passion for advancing AI technologies.

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Describe a project where you used critical thinking to solve a complex problem.

Use the STAR method (Situation, Task, Action, Result) to narrate a relevant project. Focus on the problem at hand, the critical thinking strategies you employed, and the positive outcome that resulted from your efforts.

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How would you approach improving sampling speed for diffusion models?

Outline your thought process for identifying potential improvements, referencing recent techniques such as rectified flows or consistency models. Highlight your analytical skills and how you would evaluate results through experimentation.

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What do you understand about the ethical implications of AI technologies?

Discuss the importance of ethics in AI. Mention aspects like data privacy, bias in models, and the responsibility of AI practitioners to ensure safe and equitable deployment of technologies, showing your awareness of implications beyond just technical aspects.

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Can you tell us about a publication or project you are proud of?

Choose a pertinent project or publication to discuss. Explain what it involved, your contributions, results achieved, and why you take pride in it, demonstrating your capability to deliver impactful work.

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Describe your programming experience and which languages you are proficient in.

Detail your programming background, emphasizing your proficiency in Python, any experience with frameworks like PyTorch, and relevant projects where you applied these skills. Mention your understanding of software engineering best practices.

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How do you keep current with developments in AI and machine learning?

Explain the resources you utilize, such as academic journals, conferences, blogs, or online courses, to stay informed about the latest trends in AI and machine learning. This demonstrates your passion for continuous learning and development.

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What is your experience with teamwork in research settings?

Share examples of collaborative projects, emphasizing your ability to communicate effectively, share knowledge, and contribute positively to a team dynamic. Highlight any feedback received that demonstrates your teamwork skills.

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Why do you want to intern at Jasper specifically?

Express your admiration for Jasper’s innovative approach to AI in marketing and how it aligns with your academic and career goals. Discuss what you hope to gain from this internship and how you can contribute to Jasper's mission.

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Jasper is a leading AI content platform that empowers creators and businesses to unlock their creative potential. The tech behind Jasper's AI ensures that outputs are free of plagiarism and don't showcase any inherent biases.

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DATE POSTED
December 19, 2024

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