Jampp

Data Engineer

• Own the architecture and technical roadmap for key pieces of Jampp's data infrastructure
• Design and implement scalable, incremental, and maintainable ETL processes from varied sources
• Partner with Data Scientists and Senior/Staff engineers on scalable data models and pipelines supporting real-time ML infrastructure
• Drive data consistency and reliability standards across systems and machine learning inputs
• Identify and resolve systemic bottlenecks through benchmarking, root-cause diagnosis, and architectural solutions
• Build and evolve tools and frameworks enabling company-wide data access and reliable, scalable transformations
• Mentor and coach mid-level and junior engineers
• Contribute to technical decisions about tooling and infrastructure choices

Senior Data Engineer

Data Scientist

• Define and drive the technical strategy for Jampp’s deep learning and embedding-based modeling architecture
• Design, develop and iterate advanced DNN architectures for prediction and optimization, initially focusing on CPI/CPA use cases and expanding into real-time bidding, bid optimization, ranking and campaign optimization
• Define strategies for learning rich representations of high-cardinality entities such as users, devices, creatives, publishers, advertisers, apps, campaigns and placements
• Lead reusable embedding and representation-learning approaches across the platform
• Improve the performance, scalability and generalization of machine learning models using raw signals and learned representations
• Develop real-time prediction and decision-making models for programmatic advertising under strict latency and scale constraints
• Evaluate modeling approaches and technologies for large-scale DSP and RTB systems
• Establish technical standards and best practices for model development, experimentation, evaluation and productionization
• Guide modeling initiatives from problem definition and experimentation through production deployment and continuous improvement
• Design, code and deploy machine learning models and production tools, primarily in Python
• Collaborate with ML Engineers, Data Engineers and Software Engineers on training infrastructure, data pipelines, feature infrastructure, serving architecture and feedback loops
• Analyze model and product performance metrics and their impact on bidding decisions, campaign performance, user response and business outcomes
• Mentor and guide Data Scientists
• Communicate technical findings, architectural decisions, trade-offs and recommendations to technical and non-technical stakeholders
• Collaborate with Data Science and ML teams across Jampp and Affle on shared capabilities and machine learning solutions

Senior Data Engineer

Principal Data Scientist – Deep Learning