Help build the critical infrastructure that powers the future of intelligent, agent-driven systems at Upwork. You’ll be responsible for collecting high-quality training data, building scalable featurization pipelines, and delivering performant systems to support model training and inference at scale. This role is built for Explorers , engineers who thrive in ambiguity, move fast with instinct, and are energized by greenfield challenges.
Design, build, document, and maintain custom state of the art RNAseq and other OMICs data-analysis pipelines and front-end tools for a large user base. Detect and resolve software bugs and performance issues. Provide on-demand technical support for applications. Educate and train colleagues in usage of these tools.
Nava is seeking a Data Engineer to modernize data architectures and pipelines in government programs. You'll design and implement data models and databases, improve data pipelines, enhance data security, and write code to process data more efficiently. You will deploy and operate mission-critical, highly-available, and scalable systems by adopting and defining standards and best practices in data engineering.
The Data Engineer will curate and optimize our data and data pipeline architecture, as well as optimizing data flow and collection for various application teams. The hire will support our application experts, software developers, database architects, and data analysts on a Data Roadmap strategy and will ensure optimal data delivery architecture is consistent throughout ongoing projects. They must be comfortable supporting the data needs of multiple teams, systems, and products.
We’re seeking a hands-on Analytics Engineering Lead to head our data infrastructure and modeling efforts. In this role you will manage a small team while also contributing directly as an individual contributor. You’ll collaborate closely with our analytics, data science, and ML teams to deliver high-quality, reliable data to the whole company.
Rackner is seeking an experienced and visionary Principal Data Scientist to lead our talented and dynamic team. In this senior leadership role, you will combine technical expertise, business acumen, and leadership capabilities to collaborate with senior stakeholders. Your focus will be to understand and define client needs in Big Data Analytics, Artificial Intelligence (AI), and Machine Learning (ML).
Responsible for designing, planning, and implementing scalable, cloud-based, and on-premise data and ML architectures and backend services, you will collaborate with internal teams, clients, and stakeholders to build state-of-the-art solutions across Big Data, machine learning, and real-time analytics environments. Focus will be on delivering high-quality, innovative solutions while adhering to best practices in architecture, security, and compliance.