Machine Learning Engineer

About the Company

Statt is a global AI and big data SaaS platform focused on surfacing mission-critical insights for the public policy, regulatory affairs, and strategic communications sectors. Based in the Washington, DC and Austin, TX areas, Statt is dedicated to providing solutions that empower large companies, professional services firms, government agencies, and policy organizations to navigate complex legislative, regulatory, and geopolitical landscapes. Statt was co-founded by Steve Glickman, a former senior economic policy advisor in the Obama White House, and Andrew Platt, a former Maryland state representative. For more information, visit www.statt.com.

About the Role

We are seeking a Machine Learning Engineer with approximately three to five years of experience in the field. The ideal candidate will have a strong foundation in machine learning techniques, data science principles, and advanced AI applications. This role will focus on working with Large Language Models (LLMs), Retrieval-Augmented Generation (RAG) systems, and modern ML toolchains to build state-of-the-art solutions. Familiarity with cloud infrastructure, MLops, and scalable deployment is highly valued. If you're passionate about building AI systems that solve complex real-world problems and enjoy collaborating in a fast-paced environment, we’d love to hear from you.

Responsibilities

• Model Development: Design, implement, and optimize machine learning models and algorithms using modern architectures and low-level ML techniques.
• Data Handling: Develop and maintain data pipelines, perform exploratory data analysis, and apply data preprocessing techniques to prepare high-quality inputs for ML models.
• LLM & RAG Implementation: Leverage and fine-tune Large Language Models (LLMs) and Retrieval-Augmented Generation (RAG) systems to develop intelligent, context-aware applications.
• Toolchain Expertise: Utilize frameworks and libraries such as TensorFlow, PyTorch, and Hugging Face Transformers for model training, experimentation, and deployment.
• Cloud Operations: Manage and scale machine learning workflows in cloud environments (Google Cloud and Azure), ensuring system performance and cost-efficiency.
• Collaboration: Work cross-functionally with machine learning engineers, software developers, and our product manager to align technical implementation with business objectives.
• Continuous Learning: Stay up-to-date with advancements in AI and machine learning and proactively contribute new knowledge, tools, or frameworks to the team.

Qualifications

• Experience: Approximately 5 years of professional experience in machine learning and AI development.
• Technical Skills: Proficient in Python and libraries such as NumPy, pandas, and scikit-learn. Strong understanding of statistical methods, ML algorithms, and model evaluation.
• LLMs & RAG: Hands-on experience working with LLMs and RAG systems, including fine-tuning and integrating models into production environments.
• Data Science Foundations: Knowledge of data preprocessing, feature engineering, model selection, and performance tuning.
• Cloud Operations: Experience using cloud platforms like AWS, GCP, or Azure for ML deployment and pipeline orchestration.
• Toolchain Knowledge: Familiar with modern ML toolsets (e.g., TensorFlow, PyTorch, Hugging Face), Git for version control, and collaborative development workflows.
• Problem-Solving: Demonstrated ability to break down complex problems and deliver efficient, scalable, and maintainable solutions.
• Communication: Excellent written and verbal communication skills, with the ability to explain technical concepts to both technical and non-technical audiences.

Preferred Skills

• Master’s in Computer Science, Artificial Intelligence, Data Science, or a related field
• Experience with MLops
• Relevant certifications in cloud services or machine learning technologies

Pay range and compensation package

• Competitive salary
• Equity in line with company stage and role
• Comprehensive health, dental, and vision insurance
• Unlimited PTO and flexible work arrangements
• Opportunities for professional growth and development
• Collaborative and inclusive work environment with a passionate and talented team

Equal Opportunity Statement

Statt is committed to diversity and inclusivity in the workplace.