Research Scientist Intern - Post-Training (Distillation) at Jasper

France

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Not SpecifiedCompensation

InternshipExperience Level

InternshipJob Type

UnknownVisa

Artificial Intelligence, MarketingIndustries

Requirements

Currently enrolled in a Ph.D. or M.Sc program in Machine Learning, applied mathematics or computer science (Ph.D. preferred)
Experience with distillation and/or improved sampling techniques for diffusion models
Genuine interest in the field and strong motivation to contribute to open-source initiatives
Proven track record through personal projects or previous experience in deep learning, especially generative models (e.g., diffusion models, GANs, VAEs, transformers)
Strong coding abilities in Python and deep learning frameworks (PyTorch, TensorFlow, JAX)
Strong critical thinking and problem-solving mindset
Excellent teamwork skills
Available for a period of 6 months
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 on GPU clusters
Experience with large-scale data processing
Contributions to open-source projects
Proven track record of achieving significant results as demonstrated by first-authored publications in major conferences

Responsibilities

Conduct literature reviews, propose and implement innovative methods to accelerate the sampling from diffusion models in the context of text-to-image and image editing
Participate in the fine-tuning stages of the training of large-scale text-to-image models
Conduct rigorous ablations
Design evaluation metrics and analyze model performance
Document research findings
Prepare technical reports
Participate in the external communication of the results
Contribute to an ambitious open-source project
Publish research findings
Engage with the broader AI community

Skills

Key technologies and capabilities for this role

Diffusion ModelsText-to-ImageImage EditingModel DistillationAdversarial Diffusion DistillationModel Fine-TuningOpen Source ModelsSampling Optimization

Questions & Answers

Common questions about this position

What is the location and work arrangement for this internship?

The role is open to candidates located in Paris and follows a hybrid setup, requiring you to come into the office when necessary. Jasper is a remote-first organization overall.

How long is the internship duration?

The internship duration is 6 months.

What education and experience are required for this role?

Candidates must be currently enrolled in a Ph.D. or M.Sc. program in Machine Learning, applied mathematics, or computer science, with Ph.D. preferred. Experience with diffusion models is implied by the role's focus on improving their sampling speed.

What will I be working on as a Research Scientist Intern?

You will design and implement methods to improve sampling speed of diffusion models for text-to-image and image editing, conduct literature reviews, participate in model training and evaluation, document findings, and contribute to open-source projects.

What is the compensation for this internship?

This information is not specified in the job description.

What kind of team will I be collaborating with?

You will collaborate closely with a talented team of researchers and engineers, as well as experts in machine learning, computer vision, and natural language processing.

What makes a strong candidate for this internship?

A strong candidate is enrolled in a Ph.D. program (preferred) in Machine Learning or related fields and has experience with diffusion models, given the focus on advancing text-to-image and image-editing technologies.

Jasper

AI tool for efficient content creation

About Jasper

Jasper.ai provides an AI-powered tool designed to assist in content creation, specifically for producing high-quality blogs quickly and cost-effectively. This tool helps marketers, especially in the B2B SaaS sector, to generate effective campaigns by streamlining the writing process. Jasper.ai's service operates on a business model that enhances productivity for clients who need a large volume of content, such as marketing agencies and e-commerce businesses. A key differentiator for Jasper.ai is its commitment to ethical practices; it ensures that its AI models are not trained on client data, maintaining user privacy and confidentiality. Additionally, the company does not retain ownership of the content generated through its tool, and all data is stored securely in U.S.-based data centers. The goal of Jasper.ai is to provide a reliable and efficient content creation solution while upholding high standards of data security.

Austin, TexasHeadquarters

2020Year Founded

$121.6MTotal Funding

SERIES_ACompany Stage

Enterprise Software, AI & Machine LearningIndustries

501-1,000Employees

Benefits

Competitive salary

Unlimited vacation policy

401(k) matching

Health, dental, & vision benefits

Happy hour & fun events

Paid holiday & sick days

Risks

Increased competition from OpenAI's ChatGPT integration with iPhone may attract Jasper's market.

Integration challenges from Clipdrop acquisition could dilute Jasper's text-focused content creation.

Market saturation in generative AI could challenge Jasper's unique value proposition.

Differentiation

Jasper offers a unique AI knowledge layer for marketing with Brand IQ and Marketing IQ.

The company ensures data security by not training AI models on client data.

Jasper's AI tool enhances productivity by reducing writing costs for high-quality content.

Upsides

Jasper's acquisition of Clipdrop expands its services to include image creation and editing.

The AI Image Suite targets B2C marketers, improving workflows and campaign launches at scale.

Generative AI's growing demand offers Jasper opportunities for personalized marketing campaigns.

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