Senior Machine Learning Engineer
FieldguideFull Time
Senior (5 to 8 years)
Candidates must have over 5 years of experience in applied machine learning, specializing in NLP, large language models, transformers, retrieval-based methods, and multi-agent systems. They should possess strong Python programming skills, deep experience with frameworks like PyTorch and TensorFlow, and at least 2 years of experience leading applied ML teams. Proven ability to collaborate with Product, Design, and Engineering teams is also required.
The Senior Manager will lead the design, development, and delivery of advanced NLP, LLM, and agent-based systems, managing and mentoring a team of Machine Learning Engineers and Applied Scientists. They will set the technical direction for modeling efforts, review research papers, adapt techniques into prototypes, and build/deploy intelligent agent workflows. Responsibilities also include driving project plans, ensuring timely delivery of high-quality ML systems, and collaborating with cross-functional teams to integrate models and deliver customer value.
RFP response software for enterprises
Loopio specializes in simplifying the process of responding to Requests for Proposals (RFPs), Requests for Information (RFIs), Due Diligence Questionnaires (DDQs), and Security Questionnaires. Its main product is RFP response software that helps businesses manage and automate the intricate task of creating high-quality responses. The software features a smart content management system that organizes a company's knowledge base, making it easy for teams to collaborate, assign tasks, and review projects efficiently. Loopio operates on a subscription-based model, allowing clients to access its software and tools for a recurring fee. This model helps clients save time and improve the quality of their responses, enabling them to win more business. Loopio stands out from competitors by focusing on enhancing collaboration and efficiency for medium to large enterprises across various industries, including technology, healthcare, and finance.