Job Description
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)
Things we are proud of
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2025 AI Compliance Solution of the Year - AI Breakthrough Awards
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2025 DEVIES Award to our SBOM Manager new product for its innovation and impact in developer technology
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2024 Industry Leader in Forrester-Wave for Software Composition Analysis (2024 Q4 report)
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2023 Fast Company Best Places for Innovators
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2023 Gartner's Magic Quadrant
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2023 Software Report's Top 100 Software Companies
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2023 BuiltIn Best Places to Work
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2022 Frost & Sullivan Technology Innovation Leader Award
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2022 PeerSpot Silver Peer Award in Software Composition Analysis
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2022 Tech Ascension Best DevOps Security Solution Award
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2022 NVCT Cyber Company of the Year
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Company Wellness Week - We shut down company operations for a week to enable all employees to pursue personal growth and enjoy a much-needed and deserved rest.
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Paid Volunteer Time Off (VTO)
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Expansion of Sonatype’s India Innovation Hub in Hyderabad, reflecting our continued growth, commitment to innovation, and investment in talent to advance AI-driven software security globally
