Applied AI Engineer

Air is a Creative Ops System for creative teams. Our product automates the mindless tasks that creatives and marketers do every day to manage content and unlocks creativity through image recognition, automated versioning, and approval workflows. We launched in March 2021 and have raised +$70m from world-class venture capital groups including Avenir, Tiger Global, Headline Ventures, Lerer Hippeau, WndrCo, and Slack Ventures.

The Role

Help shape the future of creative work as our first Applied AI Engineer.

At Air, we’re redefining how creative teams organize and access their work. As an experienced AI Engineer, you’ll play a pivotal role in building intelligent systems that power our platform, delivering cutting-edge search and discovery capabilities to teams worldwide. You’ll join a talented team of engineers and work closely with our cofounders, marketing, and other cross-functional teams. You’ll have the opportunity to lead...

About Our Company

We are an innovative security platform pioneering comprehensive deepfake detection. As a graduate of Y Combinator and Comcast NBCUniversal LIFT Labs alumni, and supported by DCVC, We're at the forefront of proactive deepfake and AI-generated content detection. Our technology is developed by a seasoned leadership team with over 20 years of experience in applied research, specializing in machine learning, data science, and cybersecurity.

With cutting-edge models designed to combat current and future fabrication techniques, We are the premier solution for detecting and deterring fraudulent text, audio, and visual content. We collaborate with government agencies and enterprise clients to bolster security measures and combat fraud effectively.

Requirements

Responsibilities

• Address scalability challenges by optimizing neural networks, particularly during inference.
...

We're seeking highly skilled AI engineering candidates to join our dynamic startup. Our focus is on revolutionizing retrieval augmented generation (RAG) pipelines, constantly pushing boundaries and discovering new features and limitations alongside our clients.

Requirements

As a key member of our team, you'll collaborate directly with the founding members to enhance our core RAG pipeline continually. This involves iterating on the evaluation suite and implementing cutting-edge techniques like fine-tuning cross-encoders. Additionally, you'll benefit from the guidance of prominent academics in the field, including advisors like Douwe Kiela, the original RAG paper author.

Here are indicators that you’d be a great fit:

• You have previous experience building RAG pipelines.
• You prioritize and excel in LLM evaluations.

Skills: Django, Python, Machine...

About Our Company

We are an innovative security platform pioneering comprehensive deepfake detection. As a graduate of Y Combinator and Comcast NBCUniversal LIFT Labs alumni, and supported by DCVC, We're at the forefront of proactive deepfake and AI-generated content detection. Our technology is developed by a seasoned leadership team with over 20 years of experience in applied research, specializing in machine learning, data science, and cybersecurity.

With cutting-edge models designed to combat current and future fabrication techniques, We are the premier solution for detecting and deterring fraudulent text, audio, and visual content. We collaborate with government agencies and enterprise clients to bolster security measures and combat fraud effectively.

Requirements

Responsibilities

• Address scalability challenges by optimizing neural networks, particularly during inference.
...

We're seeking highly skilled AI engineering candidates to join our dynamic startup. Our focus is on revolutionizing retrieval augmented generation (RAG) pipelines, constantly pushing boundaries and discovering new features and limitations alongside our clients.

Requirements

As a key member of our team, you'll collaborate directly with the founding members to enhance our core RAG pipeline continually. This involves iterating on the evaluation suite and implementing cutting-edge techniques like fine-tuning cross-encoders. Additionally, you'll benefit from the guidance of prominent academics in the field, including advisors like Douwe Kiela, the original RAG paper author.

Here are indicators that you’d be a great fit:

• You have previous experience building RAG pipelines.
• You prioritize and excel in LLM evaluations.

Skills: Django, Python, Machine...

Why we’re hiring?

The demand for our services has exceeded our expectations and outpaced our ability to build the product. We’re seeking our very first employee to join us as we apply the latest in LLMs technology to one of the most meaningful sectors in the world.

Requirements

What You’ll Be Doing Here:

Own: what you’ll be responsible for

• Lead the development of applied AI: As the lead for Applied AI, you will partner directly with our CTO to create our core LLM workflows from prototype to production. This role comes with significant responsibility, and we are seeking someone who is excited by this level of ownership.
• Advance applied AI: You're someone who keeps up with the latest developments in AI and seeks to apply these advancements to solve real problems. As a result, you'll be solving frontier problems by combining LLMs with software.
• Build for...

Why we’re hiring?

The demand for our services has exceeded our expectations and outpaced our ability to build the product. We’re seeking our very first employee to join us as we apply the latest in LLMs technology to one of the most meaningful sectors in the world.

Requirements

What You’ll Be Doing Here:

Own: what you’ll be responsible for

• Lead the development of applied AI: As the lead for Applied AI, you will partner directly with our CTO to create our core LLM workflows from prototype to production. This role comes with significant responsibility, and we are seeking someone who is excited by this level of ownership.
• Advance applied AI: You're someone who keeps up with the latest developments in AI and seeks to apply these advancements to solve real problems. As a result, you'll be solving frontier problems by combining LLMs with software.
• Build for...