Research Engineer

deepsight.so; United States; Remote; USD 120,000 - 180,000; Full time

Benefits offered by this job

Remote within the US

Based in San Francisco

Job summary

deepsight.so is seeking a research-focused engineer to develop methods for identifying AI-generated or manipulated media. The role bridges experimentation and applied engineering, using generative and discriminative models to assess detectability and reliability.

You will design experiments, track advances in generative AI, and share findings with the wider community while collaborating with engineers to bring prototypes into production.

Qualifications

• Advanced degree in CS/ML or equivalent experience.
• Publications or demonstrated impact in CV, generative models, or media forensics.
• Experience with PyTorch or JAX to train and evaluate large models.
• Ability to work independently, set research direction, and communicate findings clearly.
• Interest in societal effects of synthetic media.

Responsibilities

• Develop methods for identifying generated or manipulated media.
• Design experiments to evaluate model performance across datasets.
• Track advances in generative AI and assess implications for detection.
• Share research findings with the broader community where appropriate.
• Collaborate with engineers to productionize research prototypes.

Skills

Independent work

Communication skills

Societal impact awareness

Education

Master’s or PhD in CS/ML or related area

Tools

PyTorch

JAX

Job description

Role overview

Research new ways to detect AI-generated and manipulated media, then help move promising methods toward production. The work bridges experimentation and applied engineering, using generative and discriminative models to assess what can be detected and how reliably.

Responsibilities

• Develop and investigate methods for identifying generated or manipulated media.
• Design experiments to evaluate model performance across varied datasets.
• Track advances in generative AI and assess their implications for detection.
• Share research findings and contribute to the wider research community where appropriate.
• Collaborate with engineers to bring research prototypes into production systems.

Requirements

• A master’s or doctoral degree in computer science, machine learning, or a related area, or equivalent experience.
• Research publications or other demonstrated impact in computer vision, generative models, or media forensics.
• Experience using PyTorch or JAX to train and evaluate large models.
• Ability to work independently, set research direction, and communicate findings clearly.
• Interest in the societal effects of synthetic media.

Benefits and work setup

• Full-time role, remote within the US or based in San Francisco.