An integral part of the squad, you will collaborate with research scientists, data scientists and other engineers across PZN in prototyping and productizing state-of-the-art ML at the intersection of recommendations and long-term user satisfaction. Contribute to designing, scaling/building, evaluating, integrating, shipping, and refining reward signals for recommendations by hands-on ML development. Lead collaborations and align across PZN to integrate and A/B test mid-term signals in various recommendation systems. Promote and role-model best practices of ML systems development, testing, evaluation, etc., both inside the team as well as throughout the organization.
Work closely with the Consumer Authentication team, Product Manager, Engineering Manager, Technical Leads and other developers in the execution of projects under the team roadmap. Consistently generate simple and elegant designs, and write high-quality code that can be easily understood and leveraged by others. Work with other cross engineering teams and other organizations for the design, implementation, roll-out and maintenance of projects.
The Software Engineer role will be responsible for developing end to end systems for one of Nava's major government partners. The objective is to modernize an existing legacy enterprise platform to improve its public facing processes, and experiences which will enable users to have more access to the programs and services that they need, in real-time, in a more user friendly and uncomplicated way. This individual will be involved in everything, from strategy, and planning through to post production testing, and support.
You'll collaborate with different functions and be hands-on across the full stack: from data and modeling to software systems and observability. You’ll grow quickly, owning meaningful pieces of the products with ultimate support from experienced engineers and scientists around you. Design, build and release AI products/features that solve real user problems. Design and implement streaming/batch data pipelines to support training and inference. Write production-ready code, and move it to production with the help of cloud services and CI/CD techniques.
As a Senior Software Engineer on the PeopleGraph team, you will lead the development and optimization of our people data intelligence platform that gathers, cleanses, and analyzes information from diverse sources. You'll architect scalable solutions for our real-time API services and Databricks processing jobs while advancing our LLM-powered intelligence layer. Elevate our engineering excellence while delivering actionable people insights at scale.
This role involves leading end-to-end Ads initiatives, driving architectural decisions, mentoring peers, and tackling complex technical challenges in enhancing Reddit’s advertising platform with privacy-enhancing technologies and probabilistic user matching. You will be working with engineers, product managers, data scientists, and ads specialists.
As a Machine Learning Engineer, you will collaborate closely with senior engineers and product leaders to develop and enhance Instacart's ads systems. You will use machine learning to devise and refine solutions in crucial areas such as ads selection, ranking, auction, and pricing across all of Instacart’s consumer facing pages. You will actively contribute to initiatives, assisting in all stages from the initial concept, through prototyping and experimentation, to final implementation.
Experian Marketing Services is seeking a dynamic and experienced manager to lead our engineering team, which is building a Cloud Data Platform ecosystem. This platform will facilitate the migration of existing users from legacy components and handle large volumes of data in a highly available and scalable environment. The role involves managerial and hands-on coding skills, with the amount of time spent on development fluctuating based on team needs.