anais9
Joined 12 years ago
Joined 12 years ago
Hearst's corporate team is looking to fill two roles (in Engineering & Program Management) on its Generative AI Team, working to empower businesses across our diversified portfolio spanning publishing, health, transportation, and financial services. Our team's purview includes evaluating and benchmarking new releases, experimenting with the best ways to apply them to existing business problems, piloting POCs that demonstrate new ways of doing things, and accelerating the entire process on our team and within our various businesses through AI driven development tools & tactics.
Do you enjoy actively learning and experimenting with new tools & processes? Do you like solving problems across a wide range of domains and disciplines? Are you excited by the potential and application of emergent generative capabilities and agentic autonomous systems? Check out one of our open postings or feel free to reach out to me directly (https://www.linkedin.com/in/alexandria-redmon-5078865/):
Sr Engineer: https://eevd.fa.us6.oraclecloud.com/hcmUI/CandidateExperienc...
Sr Program Manager: https://eevd.fa.us6.oraclecloud.com/hcmUI/CandidateExperienc...
I'm personally a huge fan of the progress meter (having once thought it was redundant as well) - one other easy addition I didn't see mentioned is an "estimated reading time." Having a ballpark range for how long I should expect to spend with a piece of content greatly increases my chance of engaging with it, and the progress meter creates a tangible representation of that time (and how much of it I have left to finish consuming the content).
Between these model performance improvements and their new "artifacts" handling, I get the impression this update may sway me strongly back towards Anthropic (at least for this use case).
It supports various providers (OpenAI, Anthropic, Azure, Gemini), supplying both local and remote resources (defined by arguments and/or configuration file directives), and allows for feedback after initial implementation which is useful for troubleshooting issues in initial tack.
A few things I plan on adding soon include: - Improved source mapping - Hands-free voice mode - Image processing
Here at Hearst we've been building out generative AI use cases and fluency across our portfolio of businesses spanning well known media brands to healthcare, transportation, and financial services. While we are an established corporation with multi-national presence, the mission and support behind our generative AI team more closely resembles a well-funded early stage startup as we engage in radical business transformation empowered by nascent technology.
The ideal candidate is one who has written code but now builds systems largely leveraging agentic development tools such as Claude Code (w/ Opus 4.5) & Codex (w/ GPT-5.2), and who sees the future of development as managing swarms of AI agents rather than cranking out code by hand.
Come join our team and help flesh out the future of business on a global sale while getting deep hands-on experience with the latest and greatest tech!
Apply via https://eevd.fa.us6.oraclecloud.com/hcmUI/CandidateExperienc... or feel free to reach out to me directly at alex dot redmon at hearst dot com.