Join Our Team as a Machine Learning Engineer at Sayari

About Sayari: At Sayari, we are at the forefront of counterparty and supply chain risk intelligence, serving as a trusted provider for government agencies, multinational corporations, and financial institutions worldwide. Our advanced network analysis platform, headquartered in Washington, D.C., leverages corporate ownership, supply chain, trade transaction, and risk intelligence data from over 250 jurisdictions to unveil hidden risks. With solutions empowering frontline analysts across more than 35 countries, Sayari is dedicated to enhancing global commercial and financial transparency using open data. Our workplace culture thrives on novel solutions to complex problems, fostering cross-team collaboration, continuous learning, and innovation.

What You Will Do

As a pivotal member of Sayari's data team, you will harness your expertise to shape our AI strategy and architecture. Using Sayari Graph, our flagship product, you'll gain direct access to structured business information sourced from vast corporate, legal, and trade records. Your role involves working alongside our Product and Software Engineering teams to develop machine learning models, thereby enriching our data, advancing entity resolution, and integrating AI features into Sayari Graph.

What You Will Need

• Over 4 years of experience in AI/ML development from prototype to production, including proficiency with classical machine learning models such as Naive Bayes, Decision Trees, KNN, and advanced techniques in NLP and LLMs.
• Extensive experience with Apache Spark and Spark ML, Apache Airflow, and various ML/MLOps tools (e.g., MLflow, Label Studio).
• Proficiency in Python and a JVM language (e.g., Scala).
• Practical experience with Google Cloud Platform and collaborative development environments utilizing git, testing, and code reviews.

Preferred Qualifications

• Familiarity with Spark libraries like GraphFrames, Spark NLP, and cuGraph.
• Experience with SQL and NoSQL databases and data warehouses such as BigQuery.
• Skills in Docker/Kubernetes and experience in team management and mentorship.

Education

Advanced degree in Computer Science, Statistics, Engineering, or a related quantitative field.

Benefits

At Sayari, you will enjoy immense growth and learning opportunities within a collaborative and inclusive culture. Benefits include exceedingly generous vacation and parental leave, a flexible schedule, competitive compensation, comprehensive health benefits, and 401K matching. Our commitment to diversity, equity, & inclusion ensures a workplace where everyone can thrive.

Sayari is proud to be an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. Sayari encourages applications from people of all backgrounds, beliefs, and identities, reaffirming our commitment to diversity and inclusion.

How to Apply

If you're ready to contribute to a high-performing, curious, and innovative team, apply today to become our Machine Learning Engineer and help shape the future of risk intelligence with Sayari.

Company Name: Sayari
Job Title: Machine Learning Engineer

We look forward to receiving your application and hopefully welcoming you to our team!