Applied Research Scientist

Pika; Palo Alto (CA); On-site; USD 120,000 - 160,000; Full time

Job summary

A leading AI company is seeking an Applied Research Scientist to enhance their groundbreaking video applications. The ideal candidate will have extensive experience with AI, specializing in video models and tools like PyTorch. Responsibilities include developing innovative applications and collaborating in a team to provide user-friendly features for millions of users.

Qualifications

• 6+ years of experience in computer vision, machine learning or related fields.
• Experience with diffusion models, GANs, VAEs, or relevant AI models.
• Hands-on experience in foundational video model applications.

Responsibilities

• Develop video applications such as controllable generation and editing.
• Design robust data pipelines for the applications.
• Collaborate to enhance user experience with AI features.

Skills

Computer Vision

Machine Learning

AI techniques

Strong engineering practices

Proficiency in PyTorch

Large-scale data processing

Dataset construction

Tools

PyTorch

Distributed training tools

Job description

We are seeking an Applied Research Scientist to join the Pika AI team. In this role, you will focus on developing advanced AI tools leveraging our foundation models.

You will collaborate closely with researchers, product designers, and engineers to develop models that deliver exceptional visual effects, character replacement, style transformations, and more, ensuring seamless integration into production environments.

Ideal candidates are passionate about cutting-edge applied AI techniques, including multi-modal video models, video super-resolution, conditional video generation, video editing, inpainting, and controllable generation.

Position Responsibilities

• Develop innovative video applications, including controllable generation, video editing, and consistent character generation.
• Design and build robust data pipelines essential for powering these applications.
• Collaborate with product and design teams to translate state-of-the-art algorithms into user-friendly product features, enhancing the experience for tens of millions of users.

Position Requirements

• 6 year+ experience working on computer vision, machine learning or related fields.
• Demonstrated experience with diffusion models, GANs, VAEs, or other relevant AI models.
• Direct experience working with vision transformers.
• Experience working on multi-modal video models.
• Strong engineering practices with proficiency in PyTorch, covering data processing, model training, and deployment workflows.
• Hands-on experience developing applications based on foundational video models, including video inpainting, controllable generation, and human-centric modeling.
• Proven expertise in large-scale data processing, dataset construction, and automated data cleaning.
• (Optional) Solid coding abilities and a strong grasp of algorithm fundamentals; familiarity with distributed training tools such as FSDP or DeepSpeed is a plus.

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