4 machine learning engineer jobs found

Mission We are seeking a Document Analyst / AI Engineer to operate, enhance, and industrialize our document classification pipeline across enterprise content systems (Documentum, SharePoint, Confluence) with AI and financial domain background and education. The role blends hands-on ML engineering, infrastructure-as-code (Ansible), model management via Nvidia NIM, and observability (Grafana), ensuring accurate classification, robust operations at scale (100k+ financial documents), and continuous evaluation and improvement. This position will maintain and extend the current production pipeline that uses an unsupervised approach with multi-class detection, optional summarization, and rigorous evaluation. You also will study and research the migration from unsupervised to supervised approaches, with the creation of the training dataset, training models on our documents, model versioning, and continuous evaluation (precision/recall/F1), as well as compare various machine...

The Company We are Alloy Therapeutics— a biotechnology ecosystem company empowering the global scientific community to make better medicines together. Through a community of partners, we democratize access to pre-competitive tools, technologies, services, and company creation capabilities that are foundational for discovering and developing therapeutic biologics. The company facilitates affordable, non-exclusive access to the entire drug discovery community from academic scientists, small and medium biotech, to the largest biopharma. At Alloy, we believe our industry should compete on getting the best drugs to patients as quickly as possible, not exclusive access to the best platforms. As a reflection of our relentless commitment to the scientific community, we reinvest 100% of its revenue in innovation and access to innovation.   MAY THE BEST DRUG WIN. Alloy is headquartered in Waltham, MA with additional labs in Basel, CH; Cambridge, UK; and Athens, GA. Successful...

About Hilo Imagine leveraging your expertise in data analytics and business intelligence to directly shape how a fast-growing healthtech company makes decisions that impact millions of people. Hilo by Aktiia is revolutionising cardiovascular health monitoring with the world’s first continuous blood pressure monitor. Our solution empowers patients and physicians with unprecedented insights into blood-pressure patterns. Backed by over $100M in funding from top-tier investors across Europe and the US, Hilo is a fast-moving startup rooted in 20+ years of research at the Swiss Center for Electronics and Microtechnology (CSEM). Our CE-certified, Class IIa medical device is already available in multiple countries, and we continue to expand our technology and market presence. Hilo is seeking a highly hands-on Senior Data Analytics Lead to own and advance the company’s BI and analytics ecosystem. You will shape the BI platform (Metabase), ensure data accuracy and consistency,...

We're proud to work with many incredible companies, accelerating their ability to build their products. We've spent years watching talented engineering teams lose momentum to the same frustrating bottleneck: waiting. Waiting for CI to finish. Waiting for builds to complete. Waiting for tests to run. After experiencing this pain firsthand at companies of every size, we set out to build the developer infrastructure platform we'd always wanted to use. Something that would seamlessly integrate with our workflows and the tools teams already love—but make everything dramatically faster and more cost-effective. Today, we're already accelerating hundreds of companies around the world, helping them ship features instead of waiting for infrastructure. We've built something that feels almost magical in its simplicity: change your runs-on line, mount your toolchain cache directory and suddenly your builds are 5x faster. About the role Namespace's approach is low-friction,...