Machine Learning Engineer

We are seeking an experienced Machine Learning Engineer to lead initiatives and drive the development of key, net-new features. As the lead ML expert, you will be responsible for spearheading projects such as real-time audio transcription, relevance detection, and the conversion of unstructured information into structured content. Additionally, you will play a crucial role in improving the targeting capabilities of our notification system and enhancing our video operations through the development of models for moderating video content and optimizing thumbnail generation and selection. Your expertise will guide prioritization and impact analysis across ML initiatives, while also identifying opportunities to leverage new AI/ML tooling within our workflow.

• Lead initiatives and drive the development of key, net-new features in machine learning
• Spearhead projects such as real-time audio transcription, relevance detection, and conversion of unstructured information into structured content
• Improve the targeting capabilities of the notification system
• Enhance video operations through the development of models for moderating video content and optimizing thumbnail generation and selection
• Guide prioritization and impact analysis across machine learning initiatives
• Identify opportunities to leverage new AI/ML tooling within the workflow
• Enhance the rigor and accuracy of predictive analytics
• Scale the infrastructure to support the nationwide launch and accommodate the fast-growing user base
• Process thousands of hours of audio every day for incident detection
• Build machine learning models for audio analysis and targeting
• Alert users to relevant incidents in a scalable manner across different geographic densities and demographics
• Ingest high-quality video at low-latency for mobile video streaming

• Experienced Machine Learning Engineer
• Expertise in real-time audio transcription, relevance detection, and conversion of unstructured information into structured content
• Ability to improve targeting capabilities of notification system
• Proficiency in developing models for moderating video content and optimizing thumbnail generation and selection
• Strong background in predictive analytics and ability to enhance rigor and accuracy
• Proactive and innovative individual with a passion for machine learning
• Track record of delivering impactful solutions in machine learning
• Ability to handle scaling challenges and support nationwide launch
• Familiarity with processing large amounts of audio data for incident detection
• Knowledge of analytics and ability to scale incident alerts across different geographic densities and demographics
• Experience with mobile video streaming and ability to handle high-quality video at low latency.

• Competitive salary range of $190,000-$210,000 annually
• Equity
• Medical, dental, and vision insurance
• Flexible spending accounts
• Paid time off
• Company holidays
• Stock option plan
• Commuter benefits
• Various wellness perks