As a Senior Machine Learning Engineer in the Tech org, you’ll work closely with data scientists, software engineers, product managers, and designers, to develop Machine Learning technologies which help simplify the jobs of our users. You’ll work on major technical projects with large data volumes, lead the building of new features, and help shape our engineering culture and processes. Our technology team is focused on scale, quality, delivery, and thoughtful customer experience. To be set up for success in this role, you’ll need to have: 5+ years total professional experience building Machine Learning products within user-facing software apps. A capacity for a high degree of autonomy and out-of-the-box thinking. A commitment to collaborating closely with other engineers and across functions. If any of the below also describe you, this could be an exciting opportunity: Worked on a complex, high-traffic site at a startup or software-as-a-service company, ideally with large amounts of data. Experience with text modeling, NLP, and large language models. Experience serving GPU-intensive models in large-scale production environments. Interest in search. Interest in journalism, news, media or social media.
Muck Rack is the leading SaaS platform for public relations and communications professionals. Our mission is to enable organizations to build trust, tell their stories, and demonstrate the unique value of earned media. Muck Rack’s AI-powered, comprehensive, and integrated platform streamlines the PR workflow to help businesses generate positive media coverage, monitor mentions to manage brand reputation, and analyze PR’s impact on business outcomes. By combining media database, monitoring, and reporting into one dynamic platform, we empower teams to collaborate seamlessly, pitch effectively, and analyze results faster and more efficiently. Founder-controlled, fully distributed, and growing sustainably, Muck Rack has received several awards for its unparalleled culture and product from organizations like Inc., Quartz, G2, and BuiltIn. We value resilience, transparency, ownership, and customer devotion, and infuse these values into everything we do.
