Machine Learning Engineer

March 6

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Blue Rose Research

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Blue Rose Research is a company focused on research development and innovation. They may work on projects involving scientific and technological advancement, aiming to push the boundaries of knowledge and contribute to various fields through research. Their platforms suggest opportunities for contact and application, indicating a collaborative and growth-oriented approach.

11 - 50 employees

🔬 Science

📋 Description

• Develop applied ML models and end-to-end pipelines for real-time insights. • Construct agentic workflows using off-the-shelf and custom fine-tuned LLMs. • Augment workflows with embedding databases. • Train, debug, and optimize deep learning runs on GPU servers. • Conduct deep learning experiments and contribute new ideas to improve our data science approach. • Deliver actionable guidance to important internal stakeholders. • Build subject matter context and think critically about what the data is saying.

🎯 Requirements

• Has 2+ years of professional data engineering and/or machine learning experience. • Has significant experience with applied statistics and data modeling. Has developed strong instincts about how to select the right modeling approach for a problem, tune models, evaluate model performance, and diagnose and debug modeling issues. • Has experience with SQL and relational databases. Can quickly orient themselves to a new dataset, perform exploratory analysis, spot data quality issues, and justify decisions about how to handle imperfect data. Experience working with political data specifically is helpful, but not required. • Has experience building and owning production-level deep learning pipelines using real-world data, and deploying models for both real-time interactive use and batch processing. • Is a strong Python programmer, and is familiar with standard software development tools and best practices, including cloud deployment, dependency management and versioning, and debugging cutting-edge libraries with incomplete documentation. • Has experience with NLP and training transformer ML models using PyTorch, or similar tools like TensorFlow/JAX. • Experience with Agentic workflows, vector embeddings, and RAG systems. • Is familiar with cloud services, distributed systems, and other DevOps tools (Docker, Kubernetes, Terraform, etc.) • Thrives in multi-disciplinary teams working with engineers, statisticians and political experts. Is excited about working with less technical stakeholders and seeing how their work impacts real-world decision making. • Willingness to engage with the wider progressive political ecosystem and develop domain knowledge in addition to technical insight. • Has strong oral and written communication skills, especially in a remote environment. • Is a kind person and a team player who contributes to a warm working environment.

🏖️ Benefits

• medical, dental, and health benefits