Research Engineer, Media Integrity

TL;DR

Research Engineer (AI/ML): Building and optimizing machine learning techniques for assessing media trustworthiness with an accent on authenticity, provenance, and context of images, audio, and video. Focus on rapid prototyping of ML techniques, exploratory data analysis, and developing tools/frameworks to accelerate research.

Location: Mountain View, California, US

Salary: 141,000 USD – 202,000 USD + bonus + equity + benefits

Company

hirify.global is a team of scientists, engineers, and machine learning experts working to advance artificial intelligence for widespread public benefit and scientific discovery, prioritizing safety and ethics.

What you will do

• Plan and perform rapid prototyping of machine learning techniques applied to determining authenticity of media information.
• Undertake exploratory analysis to inform experimentation and research directions.
• Engage with product teams to drive the development of our research.
• Implement tools, libraries, and frameworks to speed up and enable new research.
• Report and present research findings, software developments, experimental results, and data analysis clearly and efficiently.
• Collaborate with internal and external scientific domain experts.

Requirements

• Master’s degree in Computer Science, Electrical Engineering, Science, or Mathematics, or equivalent experience.
• Applied experience with machine learning, preferably modern deep learning techniques (e.g., Transformers, Diffusion, LLMs).
• Programming experience.
• Quantitative skills in math and statistics.
• Experience exploring, analyzing, and visualizing data.

Nice to have

• Experience optimizing large-scale training and fine-tuning large models.
• Experience working with large and noisy datasets.
• Experience collaborating across fields.
• Expertise in computer vision or natural language understanding.

Culture & Benefits

• Supportive and inclusive environment where collaboration is encouraged and learning is shared freely.
• Committed to "solving intelligence" and ensuring technology is used for widespread public benefit.
• Committed to equal employment opportunity regardless of sex, race, religion or belief, ethnic or national origin.
• Benefits include bonus, equity, and health benefits.