MWDN

Artificial Intelligence

• Build modular, config-driven workflows covering scripts, hooks, avatars or LoRAs, voices, music, UI assets, and aspect ratios
• Integrate the fal Queue API to manage jobs, rate limits, webhooks, and retries
• Make runs resumable so failures do not trigger duplicate generation costs
• Fetch and cache UI assets
• Use FFmpeg to assemble clips, add subtitles and CTAs, sync talking-head audio, and mix sound
• Produce video ads in 9:16 and 1:1 formats
• Document the pipeline and provide configuration examples for the marketing team to use without writing code
• Own SDK architecture, public API, releases, and partner experience end to end
• Collaborate with AI-video creative specialists and marketing staff

AI Video Pipeline Engineer

Machine Learning Engineer

• Develop and improve real-world computer vision systems, with a strong focus on aerial image recognition
• Build solutions involving object detection, image segmentation, classification, and pattern recognition
• Train, fine-tune, evaluate, and deploy computer vision and machine learning models
• Experiment with modern vision models, foundation models, and multimodal AI technologies
• Research new AI approaches and evaluate their potential value for the product
• Rapidly build prototypes and validate technical ideas
• Improve model accuracy, reliability, performance, and inference efficiency
• Work with visual data and develop data preparation, training, and evaluation pipelines
• Explore LLMs, embeddings, vision-language models, and other emerging AI technologies
• Use AI coding tools and agents to accelerate development, research, debugging, and prototyping
• Identify ways AI can improve the overall product and user experience
• Take ownership of technical challenges from initial research through implementation and deployment
• Work directly with the client’s team in an international environment

AI/ML Engineer

• Develop and improve real-world computer vision systems, focusing on aerial image recognition
• Build solutions involving object detection, image segmentation, classification, and pattern recognition
• Train, fine-tune, evaluate, and deploy computer vision and machine learning models
• Experiment with modern vision models, foundation models, and multimodal AI technologies
• Research new AI approaches and evaluate their potential product value
• Rapidly build prototypes and validate technical ideas
• Improve model accuracy, reliability, performance, and inference efficiency
• Work with visual data and develop data preparation, training, and evaluation pipelines
• Explore LLMs, embeddings, vision-language models, and other emerging AI technologies
• Use AI coding tools and agents to accelerate development, research, debugging, and prototyping
• Identify ways AI can improve the overall product and user experience
• Take ownership of technical challenges from initial research through implementation and deployment
• Work directly with the client’s team on an all-in-one roofing professionals platform

• Develop and improve real-world computer vision systems, with a strong focus on aerial image recognition
• Build solutions involving object detection, image segmentation, classification, and pattern recognition
• Train, fine-tune, evaluate, and deploy computer vision and machine learning models
• Experiment with modern vision models, foundation models, and multimodal AI technologies
• Research new AI approaches and evaluate their potential value for the product
• Rapidly build prototypes and validate technical ideas
• Improve model accuracy, reliability, performance, and inference efficiency
• Work with visual data and develop data preparation, training, and evaluation pipelines
• Explore LLMs, embeddings, vision-language models, and other emerging AI technologies
• Use AI coding tools and agents to accelerate development, research, debugging, and prototyping
• Identify ways AI can improve the overall product and user experience
• Take ownership of technical challenges from initial research through implementation and deployment
• Work directly with the client’s team in an international environment
• Collaborate in a fast decision-making, minimal-bureaucracy culture with direct access to the co-founder

• Develop and improve real-world computer vision systems, focusing on aerial image recognition
• Build solutions involving object detection, image segmentation, classification, and pattern recognition
• Train, fine-tune, evaluate, and deploy computer vision and machine learning models
• Experiment with modern vision models, foundation models, and multimodal AI technologies
• Research new AI approaches and evaluate their potential product value
• Rapidly build prototypes and validate technical ideas
• Improve model accuracy, reliability, performance, and inference efficiency
• Work with visual data and develop data preparation, training, and evaluation pipelines
• Explore LLMs, embeddings, vision-language models, and emerging AI technologies
• Use AI coding tools and agents to accelerate development, research, debugging, and prototyping
• Identify ways AI can improve the overall product and user experience
• Own technical challenges from initial research through implementation and deployment
• Work directly with the client’s team in an international environment

• Develop and improve real-world computer vision systems, focusing on aerial image recognition
• Build solutions involving object detection, image segmentation, classification, and pattern recognition
• Train, fine-tune, evaluate, and deploy computer vision and machine learning models
• Experiment with modern vision models, foundation models, and multimodal AI technologies
• Research new AI approaches and evaluate their potential product value
• Rapidly build prototypes and validate technical ideas
• Improve model accuracy, reliability, performance, and inference efficiency
• Work with visual data and develop data preparation, training, and evaluation pipelines
• Explore LLMs, embeddings, vision-language models, and other emerging AI technologies
• Use AI coding tools and agents to accelerate development, research, debugging, and prototyping
• Identify ways AI can improve the overall product and user experience
• Own technical challenges from initial research through implementation and deployment

• Develop and improve real-world computer vision systems, focusing on aerial image recognition
• Build solutions involving object detection, image segmentation, classification, and pattern recognition
• Train, fine-tune, evaluate, and deploy computer vision and machine learning models
• Experiment with modern vision models, foundation models, and multimodal AI technologies
• Research new AI approaches and evaluate their potential product value
• Rapidly build prototypes and validate technical ideas
• Improve model accuracy, reliability, performance, and inference efficiency
• Work with visual data and develop data preparation, training, and evaluation pipelines
• Explore LLMs, embeddings, vision-language models, and other emerging AI technologies
• Use AI coding tools and agents for development, research, debugging, and prototyping
• Identify ways AI can improve the overall product and user experience
• Own technical challenges from initial research through implementation and deployment
• Work directly with the client’s team on an all-in-one roofing professionals platform

• Develop and improve real-world computer vision systems, with a strong focus on aerial image recognition
• Build solutions involving object detection, image segmentation, classification, and pattern recognition
• Train, fine-tune, evaluate, and deploy computer vision and machine learning models
• Experiment with modern vision models, foundation models, and multimodal AI technologies
• Research new AI approaches and evaluate their potential value for the product
• Rapidly build prototypes and validate technical ideas
• Improve model accuracy, reliability, performance, and inference efficiency
• Work with visual data and develop effective data preparation, training, and evaluation pipelines
• Explore the use of LLMs, embeddings, vision-language models, and other emerging AI technologies
• Use AI coding tools and agents to accelerate development, research, debugging, and prototyping
• Identify ways AI can improve the overall product and user experience
• Take ownership of technical challenges from initial research through implementation and deployment
• Work directly with the client’s team on an all-in-one roofing professionals platform

• Develop and improve real-world computer vision systems, focusing on aerial image recognition
• Build solutions involving object detection, image segmentation, classification, and pattern recognition
• Train, fine-tune, evaluate, and deploy computer vision and machine learning models
• Experiment with modern vision models, foundation models, and multimodal AI technologies
• Research new AI approaches and evaluate their potential value for the product
• Rapidly build prototypes and validate technical ideas
• Improve model accuracy, reliability, performance, and inference efficiency
• Work with visual data and develop data preparation, training, and evaluation pipelines
• Explore LLMs, embeddings, vision-language models, and other emerging AI technologies
• Use AI coding tools and agents to accelerate development, research, debugging, and prototyping
• Identify ways AI can improve the overall product and user experience
• Take ownership of technical challenges from initial research through implementation and deployment
• Work directly with the client’s team on an all-in-one roofing-professional platform for remote roof measurement, reports, estimates, and material presentations

• Develop and improve real-world computer vision systems, with a strong focus on aerial image recognition
• Build solutions involving object detection, image segmentation, classification, and pattern recognition
• Train, fine-tune, evaluate, and deploy computer vision and machine learning models
• Experiment with modern vision models, foundation models, and multimodal AI technologies
• Research new AI approaches and evaluate their potential value for the product
• Rapidly build prototypes and validate technical ideas
• Improve model accuracy, reliability, performance, and inference efficiency
• Work with visual data and develop effective data preparation, training, and evaluation pipelines
• Explore the use of LLMs, embeddings, vision-language models, and other emerging AI technologies
• Use AI coding tools and agents to accelerate development, research, debugging, and prototyping
• Identify ways AI can improve the overall product and user experience
• Take ownership of technical challenges from initial research through implementation and deployment
• Work directly with the client’s team on an all-in-one roofing-professionals platform

• Develop and improve real-world computer vision systems, focusing on aerial image recognition
• Build solutions involving object detection, image segmentation, classification, and pattern recognition
• Train, fine-tune, evaluate, and deploy computer vision and machine learning models
• Experiment with modern vision models, foundation models, and multimodal AI technologies
• Research new AI approaches and evaluate their potential product value
• Rapidly build prototypes and validate technical ideas
• Improve model accuracy, reliability, performance, and inference efficiency
• Work with visual data and develop data preparation, training, and evaluation pipelines
• Explore LLMs, embeddings, vision-language models, and emerging AI technologies
• Use AI coding tools and agents to accelerate development, research, debugging, and prototyping
• Identify ways AI can improve the overall product and user experience
• Own technical challenges from initial research through implementation and deployment
• Work directly with the client’s team on an all-in-one roofing technology platform
• Operate in an international environment with direct access to the co-founder, fast decision-making, minimal bureaucracy, and a culture of ownership and innovation

• Develop and improve real-world computer vision systems, with a strong focus on aerial image recognition
• Build solutions involving object detection, image segmentation, classification, and pattern recognition
• Train, fine-tune, evaluate, and deploy computer vision and machine learning models
• Experiment with modern vision models, foundation models, and multimodal AI technologies
• Research new AI approaches and evaluate their potential value for the product
• Rapidly build prototypes and validate technical ideas
• Improve model accuracy, reliability, performance, and inference efficiency
• Work with visual data and develop data preparation, training, and evaluation pipelines
• Explore LLMs, embeddings, vision-language models, and other emerging AI technologies
• Use AI coding tools and agents to accelerate development, research, debugging, and prototyping
• Identify ways AI can improve the overall product and user experience
• Take ownership of technical challenges from initial research through implementation and deployment
• Work directly with the client’s team on an all-in-one platform for roofing professionals

• Develop and improve real-world computer vision systems, focusing on aerial image recognition
• Build solutions involving object detection, image segmentation, classification, and pattern recognition
• Train, fine-tune, evaluate, and deploy computer vision and machine learning models
• Experiment with modern vision models, foundation models, and multimodal AI technologies
• Research new AI approaches and evaluate their potential product value
• Rapidly build prototypes and validate technical ideas
• Improve model accuracy, reliability, performance, and inference efficiency
• Work with visual data and develop data preparation, training, and evaluation pipelines
• Explore LLMs, embeddings, vision-language models, and other emerging AI technologies
• Use AI coding tools and agents to accelerate development, research, debugging, and prototyping
• Identify ways AI can improve the overall product and user experience
• Own technical challenges from initial research through implementation and deployment
• Work directly with the client’s team in an international environment

• Improve the client's computer vision capabilities, with a strong focus on aerial image recognition
• Build solutions involving object detection, image segmentation, classification, and pattern recognition
• Train, fine-tune, evaluate, and deploy computer vision and machine learning models
• Experiment with modern vision models, foundation models, and multimodal AI technologies
• Research new AI approaches and evaluate their potential value for the product
• Rapidly build prototypes and validate technical ideas
• Improve model accuracy, reliability, performance, and inference efficiency
• Work with visual data and develop data preparation, training, and evaluation pipelines
• Explore LLMs, embeddings, vision-language models, and other emerging AI technologies
• Use AI coding tools and agents to accelerate development, research, debugging, and prototyping
• Identify ways AI can improve the overall product and user experience
• Take ownership of technical challenges from initial research through implementation and deployment