Own the full data science engine for a priority vertical, from business problem to deployed model to live ROAS performance.
Build buying models that maintain positive ROAS and drive lead quality improvements across a portfolio of brands.
Establish direct partnership with vertical business stakeholders and identify net-new modeling opportunities.
Launch Potato is a digital media company that reaches over 30M monthly visitors through brands like FinanceBuzz and All About Cookies. Headquartered in South Florida with a remote-first team spanning over 15 countries, they have a high-growth, high-performance culture.
Own the full data science engine for a priority vertical, from business problem to deployed model to live ROAS performance, driving measurable revenue and media efficiency.
Deliver buying models that maintain positive ROAS and improve lead quality across a portfolio of brands.
Establish trusted, direct partnership with business stakeholders and identify net-new modeling opportunities.
Launch Potato is a profitable digital media company that connects consumers with leading brands through data-driven content and technology. With a remote-first team spanning over 15 countries and reaching 30M+ monthly visitors, they have a high-growth, high-performance culture focused on speed, ownership, and measurable impact.
Lead data initiatives using machine learning and AI to optimize ad delivery and platform performance.
Design, build, and maintain scalable AWS data pipelines for ML tooling and high-velocity ad systems.
Productionize forecasting and optimization models with robust backtesting, monitoring, and guardrail systems.
AdsByNimbus is a leader in Publisher-first mobile AdTech. The team is lean, highly capable, and deeply collaborative, offering high levels of project ownership and autonomy.
Lead data architecture, pipeline development, and data integrations on a generative AI platform to automate enterprise workflows.
Design and implement multi-zone enterprise data lakes on AWS S3 with batch and streaming ingestion pipelines.
Develop and deploy ML models on AWS SageMaker for use cases like lead scoring and predictive maintenance.
Capnexus is a comprehensive services provider specializing in designing, building, and supporting retail software. The company follows a build-as-a-service model with a culture built on outcomes and delivery, employing outstanding professionals across various platforms and verticals.
Own the end-to-end data science lifecycle for moderately complex models, from data ingestion to deployment and monitoring.
Apply expertise in machine learning and statistics to solve marketplace problems, including bidding, yield modeling, and experimentation.
Mentor junior data scientists and influence technical decisions within the team.
OpenX focuses on unleashing the economic potential of digital media companies by building digital advertising markets and technologies. The company is a growing and scaling team that values thoughtful, creative executors and a blend of market design, technical innovation, and operational excellence.
Design, build, and maintain scalable data and ML pipelines for analytics and AI systems.
Build and optimize workflows for structured and unstructured data, enabling semantic search and RAG use cases.
Manage and optimize vector databases and indexing strategies for efficient retrieval and AI-powered search.
This is a partner company seeking a Data & Machine Learning Engineer based in Brazil. They operate in a highly technical and global environment with strong emphasis on scalability, performance, and innovation.
Build and productionize ML-driven systems for personalization, search, and recommendation to drive business impact.
Utilize advanced algorithms and data mining to optimize product recommendations and improve conversion rates.
Develop AI/ML systems across search ranking, recommendation, and content intelligence to enhance user growth and outcomes.
Sporty is a remote-first company focused on delivering personalized and data-driven experiences in the gaming industry. They are a global team pursuing sustainability with a competitive salary and quarterly performance bonuses.
Lead development of core machine learning systems, fine-tuning LLMs and building NLP pipelines to extract data from insurance documents.
Architect training workflows using user feedback, and build intelligent agents for complex web interfaces.
Design evaluation pipelines and scalable systems for training, inference, and feedback in a fully remote role.
Total Performance Consulting provides AI, consulting, software development, and nearshore staffing services. The company operates with a small, fast-moving team and works on meaningful problems alongside its founders.