What You’ll Do
- Lead applied AI projects from concept to impact — prototype, validate, and help teams deploy practical ML and GenAI solutions.
- Collaborate cross-functionally: Partner with product, engineering, and research teams to scope problems, identify opportunities, and co-develop solutions.
- Act as an internal consultant: Advise teams on ML/AI best practices, model evaluation, and productive use of generative technologies.
- Design robust experiments and establish evaluation pipelines for model reliability, accuracy, and business impact.
- Bridge research and production: Package research insights into usable APIs, tools, or workflows for other teams.
- Explore new techniques (e.g., LLMs, embeddings models, retrieval-augmented generation, agentic workflows) to enhance developer and security experiences.
- Share knowledge and mentor peers, helping elevate the organization’s AI literacy and capabilities.
What We’re Looking For
- 6+ years of experience in applied data science, machine learning, or AI research
- Strong Python skills and hands-on experience with ML/AI libraries and platforms such as Databricks, OpenAI API, and Scikit-learn
- Comfortable working with large, messy, or unstructured datasets — you know how to turn chaos into features, insights, and beautiful visualizations
- Deep familiarity with LLMs and GenAI ecosystems (e.g. OpenAI, Claude, Hugging Face): skilled in prompt engineering, parameter tuning, and evaluating model behavior against ground truth
- Experience taking ML or GenAI systems from prototype to production, even if small-scale or incremental
- Strong analytical thinking, experimentation skills, and appreciation for trustworthy, data-driven evaluation
- Proficiency with Git and collaborative code workflows (GitHub or similar)
- A balanced mindset — equally comfortable exploring research ideas and implementing production-ready systems
- Proactive and self-directed: you don’t wait for perfect specs; you find meaningful problems and drive them to completion
Bonus Points
- Experience with AI-assisted coding tools (Copilot, Claude Code, Codex, etc.)
- Familiarity with agentic workflows, Model Context Protocol (MCP), and tool-use integrations
- Exposure to cybersecurity, anomaly detection, or code analysis
- Understanding of MLOps practices (MLflow, AWS SageMaker, model serving, or monitoring)
Top Skills
What We Do
The Sonatype journey started almost 15 years ago, just as the concept of “open source” software development was gaining steam. From our humble beginning as core contributors to Apache Maven, to supporting the world’s largest repository of open source components (Central), to distributing the world's most popular repository manager (Nexus), we’ve played a meaningful role in helping the world embrace the power of open innovation.
We empower developers and security professionals with intelligent tools to innovate more securely at scale. Our platform addresses every element of an organization’s entire software development life cycle, including third-party open source code, first-party source code, and containerized code. Sonatype identifies critical security vulnerabilities and code quality issues and reports results directly to developers when they can most effectively fix them. This helps organizations develop consistently high-quality, secure software which fully meets their business needs and those of their end-customers and partners. More than 2,000 organizations, including 70% of the Fortune 100, and 15 million software developers rely on our tools and guidance to help them deliver and maintain exceptional and secure software.
Why Work With Us
We're on a mission to change how the world innovates by making software development easier. Already used by 15 million developers, we have lofty goals for our technology to be in the hands of every engineering team. And, we need you to do that. Join us!
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