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Join a high-impact team of applied researchers and engineers where you'll dive deep into the full ML lifecyclefrom comprehensive data exploration to model evaluation and performance analysis. This role offers unique exposure to cutting edge machine learning applications while building your expertise in both analytical depth and ML systems.
What you'll be doing
Conduct comprehensive exploratory data analysis and deep-dive investigations across our full data ecosystem to uncover insights that drive ML and product strategy
Analyze ML model results, performance metrics, and conduct sophisticated model evaluations that inform algorithmic improvements
Design, implement, and analyze A/B tests while serving as a key contributor to our model evaluation and experimentation processes
Build analytical pipelines and automated systems that scale our ability to measure ML effectiveness and business impact
Create advanced dashboards and reporting systems that translate complex model performance into actionable business insights

ironSource, part of Unity, is a leading large-scale ad network at the forefront of advertising technology. We are looking for a highly skilled and experienced Senior Software Engineer to join our backend team.
In this role, you will leverage your expertise in distributed systems, data engineering, and software development to design, build, and deploy high-performance solutions. You will take a leading role in developing and maintaining a cutting-edge online machine learning system powered by PyTorch/Tensorflow models and Triton inference server.

This is an opportunity to work on complex, large-scale systems that serve billions of requests, shaping the future of ad tech and ML-driven optimization.

What you'll be doing
Architect and Build: Design, develop, and deploy robust, scalable, and high-performance distributed systems that form the backbone of ironSource's next-generation ML ad network.
Real-Time Ad Serving: Engineer and optimize critical systems for real-time ad serving, enabling machine learning models to make intelligent, low-latency decisions for optimal ad selection.
ML Infrastructure Innovation: Drive the evolution of our ML capabilities by researching, evaluating, and implementing cutting-edge techniques for feature stores, data aggregation, and model serving infrastructure.
Data Pipeline Engineering: Collaborate closely with data scientists and product managers to design, build, and maintain efficient and reliable data lakes and data pipelines, ensuring high-quality data for ML training and analytics.
Operational Excellence: Take ownership of key system components, ensuring their reliability, performance, and scalability in a production environment through proactive monitoring and continuous improvement.

Technical Leadership & Architecture: Drive data infrastructure strategy and establish standardized patterns for AI/ML workloads, with direct influence on architectural decisions across data and engineering teams
DataOps Excellence: Create seamless developer experience through self-service capabilities while significantly improving data engineer productivity and pipeline reliability metrics
Cross-Functional Innovation: Lead collaboration between DevOps, Data Engineering, and ML Operations teams to unify our approach to infrastructure as code and orchestration platforms
Technology Breadth & Growth: Work across the full DataOps spectrum from pipeline orchestration to AI/ML infrastructure, with clear advancement opportunities as a senior infrastructure engineer
Strategic Business Impact: Build scalable analytics capabilities that provide direct line of sight between your infrastructure work and business outcomes through reliable, cutting-edge data solutions
What you'll be doing
Design Data-Native Cloud Solutions - Design and implement scalable data infrastructure across multiple environments using Kubernetes, orchestration platforms, and IaC to power our AI, ML, and analytics ecosystem
Define DataOps Technical Strategy - Shape the technical vision and roadmap for our data infrastructure capabilities, aligning DevOps, Data Engineering, and ML teams around common patterns and practices
Accelerate Data Engineer Experience - Spearhead improvements to data pipeline deployment, monitoring tools, and self-service capabilities that empower data teams to deliver insights faster with higher reliability
Engineer Robust Data Platforms - Build and optimize infrastructure that supports diverse data workloads from real-time streaming to batch processing, ensuring performance and cost-effectiveness for critical analytics systems
Drive DataOps Excellence - Collaborate with engineering leaders across data teams, champion modern infrastructure practices, and mentor team members to elevate how we build, deploy, and operate data systems at scale

Join the innovative and expanding team at Unity-Aura, a groundbreaking large-scale mobile platform that serves a wide variety of content, including news articles, games, videos, and more. We are seeking a motivated and detail-oriented Quality Assurance Engineer to ensure our content discovery platform delivers a seamless experience to millions of users. At Unity, you will be part of a dynamic team that combines Android development, backend services, and machine learning into a unified, complex system. This is an ideal role for individuals eager to make a substantial impact on a technically challenging product in a fast-paced environment.
What you'll be doing
Collaborate closely with software engineers, product managers, business intelligence, and UI/UX designer teams to define and execute test plans and cases.
Participate in the development lifecycle, from requirements analysis to post-deployment verification.
Conduct regression, functional, performance, and usability testing.
Perform exploratory testing to ensure a seamless user experience across multiple devices and platforms.
Stay updated with the latest QA methodologies, tools, and best practices.

Were looking for a Mobile Automation Engineer whos a genuine tech geek, creative thinker, and excellent at execution to join our engineering team. If you think about validation as craftsmanship, have satisfaction from delivering a high-quality product, have always dreamed of being part of building the next generation of Automation technology, and work with some of the top talents in the app economy industry, this is the place.
What you'll be doing
Write, execute, and maintain automated test scripts for functional, regression, and performance testing within CI/CD pipelines to enable continuous testing.
Work closely with developers, product managers, and manual QA engineers in a cross-functional Scrum team to define test strategies, improve testability, and ensure high product quality.
Investigate test failures, report defects, and continuously refine automation scripts to improve reliability and efficiency in detecting issues early in the development cycle.

Were looking for an Automation Infrastructure engineer whos a true tech geek, creative thinker, and great at execution to join our engineering team. If you think about validation as craftsmanship, have satisfaction from delivering high-quality products, always dreamed of being part of building the next generation of Automation Infrastructure technology, and work with some of the top talents in the app economy industry, this is the place.
What you'll be doing
Designing, building, and maintaining our automation infrastructure for our suite of products, ensuring they meet the highest standards of quality and functionality.
Coaching and mentoring team members on best practices for automation, fostering an environment of learning and continuous improvement.
Interact, lead technical discussions with other team members, and collaborate to solve complex issues.