You will build and maintain modular, config-driven AI video pipelines to automate the generation of marketing assets for mobile games. This involves integrating various AI models, managing job orchestration, and ensuring high-quality output through FFmpeg processing.
Analyze and modernize complex legacy codebases using an AI-powered platform to improve system architecture. Collaborate with product and engineering teams to validate platform capabilities and suggest functional improvements.
You will design, develop, and maintain scalable backend services and microservices using Python and Flask. Additionally, you will integrate AI-powered functionality and optimize SQL databases to ensure high performance and reliability.
Develop and improve real-world computer vision systems, specifically focusing on aerial image recognition and object detection. Research new AI approaches, build prototypes, and deploy machine learning models to enhance product capabilities.
Develop, maintain, and improve web applications while integrating AI-powered features into user-facing products. Collaborate with cross-functional teams to ensure high-quality, responsive, and performant solutions.
The engineer will own the end-to-end workflow for singing voice conversion, text-to-speech model deployment, and Spanish lyrics generation. This involves fine-tuning models, optimizing inference, and integrating solutions into the existing production platform.
Develop and execute creative marketing concepts, campaigns, and content across various digital channels to drive product growth. Collaborate with cross-functional teams to analyze performance data and optimize creative strategies for maximum impact.
The User Support Engineer will manage the entire support function, including resolving tickets and implementing AI-powered automation. They will also analyze support data to identify product pain points and collaborate with cross-functional teams to improve user experience.
Troubleshoot and resolve complex technical issues across distributed Cloud SaaS systems while collaborating with engineering and product teams. Lead technical investigations and maintain high standards of customer communication for enterprise clients.
Create AI-generated video scenes and sequences by translating scripts into visual content using generative AI tools. Collaborate with creative leads to develop visual storytelling while independently managing assigned creative tasks.
Manage strategic outbound communication through executive LinkedIn profiles to build relationships with high-level decision makers. Collaborate with sales and recruitment teams while utilizing AI-powered workflows to identify and engage potential business opportunities.
Manage strategic outbound communication through executive LinkedIn profiles to build relationships with decision-makers. Continuously improve outreach messaging frameworks and collaborate with sales and recruitment teams.
The engineer will develop and scale a healthcare platform by balancing full-stack product engineering with backend, cloud, and integration tasks. Responsibilities include building patient-facing applications, managing AWS infrastructure, and ensuring secure data interoperability.
The engineer will stabilize and scale a healthcare platform by managing full-stack product development and backend cloud infrastructure. Responsibilities include building patient-facing applications, developing APIs, and ensuring secure, compliant data integration.
You will be responsible for accelerating distributed systems like Apache Spark, Hadoop, and Ray by building native Rust-based execution engines. The role involves deep performance tuning, including SIMD, cache locality, and zero-copy IO optimizations.
Design and build scalable data pipelines to process bid stream, impression, and revenue data from programmatic sources. Develop ETL/ELT workflows and maintain data warehouses optimized for ad-tech query patterns.
You will design and ship production-grade systems that integrate software engineering, data infrastructure, and AI-powered features. This includes building secure full-stack product features, creating reliable data pipelines, and implementing safe agentic workflows with strong observability.
You will build native Rust-based execution engines and accelerate distributed systems like Apache Spark, Hadoop, and Ray. The role involves deep performance tuning and taking full ownership of complex, performance-critical components.
Design and scale data infrastructure and pipelines to process massive volumes of ad-tech and CRM data for real-time analytics. Develop ETL/ELT workflows and data models to optimize campaign performance and supply analysis.
Identify and engage top-tier global IT talent using various sourcing channels and AI tools. Conduct initial screenings and maintain candidate data within the ATS to improve recruitment efficiency.
Research emerging fraud and abuse techniques to design and validate new security signals and detection mechanisms. Collaborate with engineering and data science teams to translate research insights into scalable product capabilities.
Design and build advanced AI workflows for image, video, and multi-model orchestration. Create showcase demos for investors and enterprise clients while collaborating with product teams to improve user experience.
You will work on client-side backend development and collaborate with team members to design, prototype, and assess technical feasibility. Additionally, you will be responsible for investigating and resolving issues reported by customers.
Design and develop full-stack applications for programmatic advertising workflows utilizing React, Node.js, and Python, while building and maintaining integrations with major SSPs and DSPs. Responsibilities also include implementing and optimizing Prebid configurations, developing OpenRTB-compliant handling, and ensuring compliance with privacy frameworks.
The role involves designing and building advanced workflows for image, video, AI editing, and multi-model orchestration, as well as creating showcase demos for investors, marketing, and tutorials. Additionally, the individual will explore and integrate cutting-edge AI models and help design widgets to simplify complex workflows for non-technical users.
The role involves designing and building scalable data pipelines to process real-time bid stream, impression, and revenue data from programmatic sources, while developing ETL/ELT workflows to transform raw data into analytics-ready datasets. Responsibilities also include building real-time and batch processing systems for auction analytics and developing data models for yield optimization.
The role involves owning the marketing and product frontend, ensuring it is visually appealing, highly functional, and user-friendly, while continuously implementing and maintaining new features to improve performance and usability. Responsibilities also include leveraging data metrics to guide design and development decisions through setting up analytics and collaborating with cross-functional teams.
