dun bradstreet

Data Scientist, AI Engineer (R-18525)

Customer Success Director - Financial Services (R-18514)

Data Administrator - Junior (R-18400)

Accountant - m/f/d (R-18284)

External Communications Associate (R-18515)

Employee Communications Associate (R-18516)

Sales Enablement Manager (R-18503)

Account Executive I, Digital Audience Solutions (R-18506)

Enterprise Account Executive (R-18505)

Dun & Bradstreet is seeking a Data Scientist, AI Engineer to drive innovation using Machine Learning and Generative AI. This role involves transforming complex business problems into scalable GenAI solutions, collaborating across teams, and working on cutting-edge projects. Key responsibilities include leveraging Large Language Models for insights, applying AI engineering best practices, and managing the full ML development cycle from data collection to deployment. The ideal candidate will have an advanced degree in a quantitative field and strong proficiency in Python, SQL, LLMs, and Big Data platforms.

Business Development Manager

Why We Work at Dun & BradstreetDun & Bradstreet unlocks the power of data through analytics, creating a better tomorrow. Each day, we are finding new ways to strengthen our award-winning culture and accelerate creativity, innovation and growth. Our 6,000+ global team members are passionate about what we do. We are dedicated to helping clients turn uncertainty into confidence, risk into opportunity and potential into prosperity. Bold and diverse thinkers are always welcome. Come join us! Learn more at dnb.com/careersWe are hiring a Data Scientist, AI Engineer to join our team and help drive innovation through Machine Learning and Generative AI.The Data Scientist, AI Engineer will work on cutting-edge projects, transforming complex business problems into scalable GenAI solutions, and collaborating across teams to deliver results.<h3 class="text-xl md:text-2xl font-bold mt-8 mb-3 text-gray-800">Responsibilities:</h3><ul class="list-disc list-inside my-5 pl-5 space-y-2 text-gray-700"><li class="leading-relaxed">Leverage Large Language Models (LLMs) to extract actionable insights from unstructured text data, designing and implementing robust GenAI pipelines tailored to diverse business needs.</li><li class="leading-relaxed">Stay current with the rapidly evolving GenAI landscape, continuously exploring and applying state-of-the-art techniques, tools, and research to enhance model performance and innovation.</li><li class="leading-relaxed">Apply AI engineering best practices to design, build, and deploy intelligent agents and modular GenAI systems, integrating tools such as LangChain and vector databases to enable dynamic reasoning and autonomous task execution.</li><li class="leading-relaxed">Design and implement full ML development cycle: data collection, transformation, experimentation, model training, model finetuning, deployment, and monitoring.</li><li class="leading-relaxed">Translate internal and client business cases into machine learning and GenAI frameworks.</li><li class="leading-relaxed">Balance independent work with collaborative team efforts.</li></ul><h3 class="text-xl md:text-2xl font-bold mt-8 mb-3 text-gray-800">Required Qualifications:</h3><ul class="list-disc list-inside my-5 pl-5 space-y-2 text-gray-700"><li class="leading-relaxed">Advanced degree (PhD or Master’s) in Physics, Mathematics, Computer Science, or a related quantitative field.</li><li class="leading-relaxed">Proficiency in Python and SQL, with hands-on experience in core machine learning and data science frameworks such as Hugging Face, Pandas, NumPy, Scikit-learn, and PyTorch.</li><li class="leading-relaxed">Hands-on experience with large language models (LLMs); parameter efficient finetuning (PEFT), Chain-of-Thought (CoT) prompting, RAG, LLM-as-a-judge.</li><li class="leading-relaxed">Hands-on experience with Agentic AI development and orchestration libraries- LangChain and LangGraph .</li><li class="leading-relaxed">Strong background in supervised/unsupervised Machine Learning frameworks, NLP, unstructured data analysis, and GenAI/LLMs.</li><li class="leading-relaxed">Proficient in working with Big Data platforms (e.g., Databricks, Snowflake), with a strong foundation in data engineering and the ability to independently troubleshoot and resolve data-related issues.</li><li class="leading-relaxed">Excellent communication skills with the ability to explain complex concepts clearly.</li><li class="leading-relaxed">Demonstrate intellectual honesty, curiosity, and practical problem-solving.</li></ul>Benefits We Offer<ul class="list-disc list-inside my-5 pl-5 space-y-2 text-gray-700"><li class="leading-relaxed">Generous paid time off in your first year, increasing with tenure.</li><li class="leading-relaxed">Up to 16 weeks 100% paid parental leave after one year of employment.</li><li class="leading-relaxed">Paid sick time to care for yourself or family members.</li><li class="leading-relaxed">Education assistance and extensive training resources.</li><li class="leading-relaxed">Do Good Program: Paid volunteer days & donation matching.</li><li class="leading-relaxed">Competitive 401k with company matching.</li><li class="leading-relaxed">Health & wellness benefits, including discounted Wellhub membership rates.</li><li class="leading-relaxed">Medical, dental & vision insurance for you, spouse/partner & dependents.</li></ul>

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- This assessment gives us an idea of your C++ skills - Companies that evaluate this skillset in interviews: Rockstar Games, Ubisoft, Mayhem Studios, etc. - 10 Multiple Choice questions - Average time to complete: 7 to 10 minutes

Let's assess your Data Structures! 📋 &nbsp;- This assessment gives us an idea of your problem solving skills using DSA - Companies that evaluate this skillset in interviews: MPL, LILA Games, GSN Games, etc. - 10 Multiple Choice questions - Average time to complete: 7 to 10 minutes

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Reducto

Backend/AI Engineer

Founding Security Engineer

Founding Forward Deployed Engineer

Product Designer (2nd)

Founding Support Engineer (Remote)

Machine Learning Engineer

VP Marketing

flying wild hog

Finance Manager

skybox labs 

Senior Environment Artist - Assets | Destiny 2

This role involves working on the core API that powers document parsing for hundreds of companies. You will integrate cutting-edge LLMs, optimize document processing pipelines, and build infrastructure for state-of-the-art document understanding at scale. The company helps AI teams ingest real-world enterprise data with high accuracy, focusing on unstructured file formats like PDFs and spreadsheets. They have grown significantly, working with leading AI teams and enterprises, and are backed by world-class investors.

Frontend Engineer

Founding Infrastructure Engineer

Founding Head of Marketing

Solutions Engineer

<h3 class="text-xl md:text-2xl font-bold mt-8 mb-3 text-gray-800">About Reducto</h3>Reducto helps AI teams ingest real world enterprise data with state of the art accuracy.The vast majority of enterprise data — from financial statements to health records — is locked in unstructured file formats like PDFs and spreadsheets. We train vision models to read those documents the way a human would, and make it possible to build products, train models, and automate processes at scale.We’ve grown incredibly quickly, growing revenue by 7x YOY, and now work with hundreds of companies ranging from leading AI teams (Harvey, Vanta, Scale), through to enterprise (FAANG, top 3 trading firm).We're raised over 100M from world class investors like A16z, Benchmark, and First Round Capital, and are looking for a Backend/AI Engineer.<h3 class="text-xl md:text-2xl font-bold mt-8 mb-3 text-gray-800">The Opportunity</h3>As a Backend/AI Engineer, you'll work on our core API that powers document parsing for hundreds of companies. You'll integrate cutting-edge LLMs, optimize document processing pipelines, and build the infrastructure that makes state-of-the-art document understanding accessible at scale.<h3 class="text-xl md:text-2xl font-bold mt-8 mb-3 text-gray-800">We would love to meet you if you:</h3><ul class="list-disc list-inside my-5 pl-5 space-y-2 text-gray-700"><li class="leading-relaxed">Philosophy: You are your own worst critic. You have a high bar for quality and don't rest until the job is done right—no settling for 90%. We want someone who ships fast, with high agency, and who doesn't just voice problems but actively jumps in to fix them.</li></ul><ul class="list-disc list-inside my-5 pl-5 space-y-2 text-gray-700"><li class="leading-relaxed">Experience: You have 2+ years of experience building real world applications and integrating LLMs into production systems</li></ul><ul class="list-disc list-inside my-5 pl-5 space-y-2 text-gray-700"><li class="leading-relaxed">Language: You're exceptional at Python</li></ul><ul class="list-disc list-inside my-5 pl-5 space-y-2 text-gray-700"><li class="leading-relaxed">Tools: Build your own tools as needed—like a quick Streamlit app to test hypotheses or create a dataset.</li></ul><ul class="list-disc list-inside my-5 pl-5 space-y-2 text-gray-700"><li class="leading-relaxed">Approach: A quantitative approach to building products. Ability to debug, experiment, and iterate fast. You should be comfortable getting hands-on with the full development lifecycle, from ideation to shipping to users.</li></ul><h3 class="text-xl md:text-2xl font-bold mt-8 mb-3 text-gray-800">The core work will include:</h3><ul class="list-disc list-inside my-5 pl-5 space-y-2 text-gray-700"><li class="leading-relaxed">Integrating and optimizing LLM calls for structured extraction, form filling, and document understanding tasks</li></ul><ul class="list-disc list-inside my-5 pl-5 space-y-2 text-gray-700"><li class="leading-relaxed">Making improvements to API design and pre-processing algorithms (chunking, structured extraction, etc.) based on customer feedback</li></ul><ul class="list-disc list-inside my-5 pl-5 space-y-2 text-gray-700"><li class="leading-relaxed">Building and improving document processing pipelines that handle everything from PDFs to spreadsheets at scale</li></ul><ul class="list-disc list-inside my-5 pl-5 space-y-2 text-gray-700"><li class="leading-relaxed">Experimenting with new techniques and output structures to improve LLM accuracy and reduce latency</li></ul><ul class="list-disc list-inside my-5 pl-5 space-y-2 text-gray-700"><li class="leading-relaxed">Building internal tooling and evals to better understand/analyze failure cases</li></ul><ul class="list-disc list-inside my-5 pl-5 space-y-2 text-gray-700"><li class="leading-relaxed">Working directly with the founders and customers to shape the product direction and engineering strategy</li></ul><h3 class="text-xl md:text-2xl font-bold mt-8 mb-3 text-gray-800">Bonus points if you:</h3><ul class="list-disc list-inside my-5 pl-5 space-y-2 text-gray-700"><li class="leading-relaxed">Have prior experience founding a company or building products at early stages</li></ul><ul class="list-disc list-inside my-5 pl-5 space-y-2 text-gray-700"><li class="leading-relaxed">Have experience with prompt engineering, fine-tuning, or building AI agents</li></ul><ul class="list-disc list-inside my-5 pl-5 space-y-2 text-gray-700"><li class="leading-relaxed">Are ambitious and driven, and care a lot about doing great work with great people</li></ul><ul class="list-disc list-inside my-5 pl-5 space-y-2 text-gray-700"><li class="leading-relaxed">Keep up with the latest developments in ML/AI</li></ul>This is an in person role at our office in SF. We're an early stage company which means that the role requires working hard and moving quickly. Please only apply if that excites you.<h3 class="text-xl md:text-2xl font-bold mt-8 mb-3 text-gray-800">About Reducto</h3>Nearly 80% of enterprise data is in unstructured formats like PDFsPDFs are the status quo for enterprise knowledge in nearly every industry. Insurance claims, financial statements, invoices, and health records are all stored in a structure that’s simply impractical for use in digital workflows. This isn’t an inconvenience—it’s a critical bottleneck that leads to <a href="https://www.reducto.ai/blog/the-real-cost-of-manual-document-processing" target="_blank" rel="noopener noreferrer" class="text-blue-600 hover:text-blue-800 hover:underline transition-colors duration-200">dozens of wasted hours every week</a>.Traditional approaches fail at reliably extracting information in complex PDFsOCR and even more sophisticated ML approaches work for simple text documents but are unreliable for anything more complex. Text from different columns are jumbled together, figures are ignored, and tables are a nightmare to get right. Overcoming this usually requires a large engineering effort dedicated to building specialized pipelines for every document type you work with.<a href="https://www.reducto.ai/" target="_blank" rel="noopener noreferrer" class="text-blue-600 hover:text-blue-800 hover:underline transition-colors duration-200">Reducto</a>breaks document layouts into subsections and then contextually parses each depending on the type of content. This is made possible by a combination of vision models, LLMs, and a suite of heuristics we built over time. Put simply, we can help you:<ul class="list-disc list-inside my-5 pl-5 space-y-2 text-gray-700"><li class="leading-relaxed">Accurately extract text and tables even with nonstandard layouts</li></ul><ul class="list-disc list-inside my-5 pl-5 space-y-2 text-gray-700"><li class="leading-relaxed">Automatically convert graphs to tabular data and summarize images in documents</li></ul><ul class="list-disc list-inside my-5 pl-5 space-y-2 text-gray-700"><li class="leading-relaxed">Extract important fields from complex forms with simple, natural language instructions</li></ul><ul class="list-disc list-inside my-5 pl-5 space-y-2 text-gray-700"><li class="leading-relaxed">Build powerful retrieval pipelines using Reducto’s document metadata</li></ul><ul class="list-disc list-inside my-5 pl-5 space-y-2 text-gray-700"><li class="leading-relaxed">Intelligently chunk information using the document’s layout data</li></ul><h3 class="text-xl md:text-2xl font-bold mt-8 mb-3 text-gray-800">Benefits at Reducto</h3>At Reducto, we’re invested in the well-being and growth of our team. Here’s what we currently offer:<ul class="list-disc list-inside my-5 pl-5 space-y-2 text-gray-700"><li class="leading-relaxed">Unlimited PTO: We believe great work requires recharging.</li></ul><ul class="list-disc list-inside my-5 pl-5 space-y-2 text-gray-700"><li class="leading-relaxed">Lunch: Receive a free lunch to eat with your teammates daily at the office</li></ul><ul class="list-disc list-inside my-5 pl-5 space-y-2 text-gray-700"><li class="leading-relaxed">Reimbursed Transportation: Provide us with your receipts and we’ll take care of the costs</li></ul><ul class="list-disc list-inside my-5 pl-5 space-y-2 text-gray-700"><li class="leading-relaxed">Insurance: Generous health insurance covering medical, dental, and vision.</li></ul><ul class="list-disc list-inside my-5 pl-5 space-y-2 text-gray-700"><li class="leading-relaxed">Health and Wellness Budget: We provide up to $150/mo reimbursement for health and wellness spending, such as gym memberships, fitness classes, or similar.</li></ul><ul class="list-disc list-inside my-5 pl-5 space-y-2 text-gray-700"><li class="leading-relaxed">Parental Leave: Work with us to build a leave schedule that works for you and your family</li></ul>Reducto is an Equal Opportunity Employer committed to diversity and inclusion in the workplace. All qualified applicants will receive consideration for employment without regard to sex, race, color, age, national origin, religion, physical and mental disability, genetic information, marital status, sexual orientation, gender identity/assignment, citizenship, pregnancy or maternity, protected veteran status, or any other status prohibited by applicable national, federal, state or local law.

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This assessment gives us an idea of your C++ skills- Companies that evaluate this skillset in interviews: Rockstar Games, Ubisoft, Mayhem Studios, etc.- 10 Multiple Choice questions- Average time to complete: 7 to 10 minutes

Let's assess your Data Structures! - This assessment gives us an idea of your problem solving skills using DSA- Companies that evaluate this skillset in interviews: MPL, LILA Games, GSN Games, etc.- 10 Multiple Choice questions

Data Structures and Algorithms

Let's assess your Programming Patterns! ????- This assessment gives us an idea of your code architecture skills- Companies that evaluate this skillset in interviews: Dirtcube, PTW, Playshifu, etc.

Programming Patterns

Let's assess your OOPs skills! ????- This assessment gives us an idea of your fundamental OOPS concepts and Solid principles skills- Companies that evaluate this skillset in interviews: Hitwicket, GSN Games, Tomo Club, etc.

Object Oriented Programming

Let's assess your Unity Skills ????- This assessment gives us an idea of your Unity fundamentals- Companies you can apply for after taking this assessment: Godspeed games, Salvation Games, nCore Games, etc.