Machine Learning Engineer

3 hours ago Machine Learning Engineer Full time Remote Germany Berlin Important: if an employer asks you to log into their system via iCloud or Google, send a code, an SMS or Telegram password, run some code, or install software — refuse. These are signs of fraud. Job Description 's ML team builds the data and intelligence layer that powers products used by professional firms across legal, accounting, consulting, and private capital. We're looking for an ML engineer to work on the systems that collect, enrich, and structure data from the web at scale — and to bring that same rigor to the ML components embedded across our product suite. What You'll Do: Design and maintain NLP pipelines that extract, classify, and enrich structured knowledge from unstructured web contentBuild and operate agentic workflows that automate data collection, validation, and maintenance with minimal human-in-the-loop overheadCollaborate with product and data engineering teams to ship ML components that improve the quality and reliability of our data-driven productsEvaluate and integrate frontier models where they reduce complexity or improve coverage, with a bias toward production stability over noveltyOwn the full lifecycle of your systems — from design through deployment, monitoring, and iteration What You'll Need: Strong foundations in NLP and applied ML, with hands-on experience shipping systems to productionFamiliarity with agentic patterns (tool use, multi-step reasoning, retrieval-augmented systems) and the tradeoffs that come with themExperience working with large-scale, web-sourced data — crawling, parsing, deduplication, entity resolution, or similarComfort operating across the ML stack: data pipelines, model training and evaluation, and inference infrastructureCollaborative and direct — you write clean code, communicate clearly, and have opinions you can defend Nice To Have: Experience with knowledge graph construction or entity-centric data modelsFamiliarity with LLM evaluation frameworks and production monitoringBackground in domains where data quality is a core product quality signal What You Will Gain: At , you’ll get the opportunity to bring your talents and intellectual curiosity to create better outcomes for our people and our clients. You’ll be part of a growing public company, with a modern work environment that’s connected yet flexible and where your professional growth and well-being are top priorities. We’ll collaborate and grow together, supporting each other in a positive, open atmosphere that fosters creativity, innovation, and teamwork. Here, You Will Have The Opportunity To: Expand Your Skills: Unlock your potential with professional development opportunities supported by a community of experienced professionals. We offer reimbursement for training and continuing education to help you stay ahead in your career.Enjoy Where You Work: Thrive in our modern, open offices designed to inspire creativity and collaboration. Our complimentary lunches and fully stocked kitchens ensure you have everything you need to stay energized throughout the day.Support What Matters Most: Our comprehensive wellness and flexible time off programs and our benefits are designed to care for you and your family. Our family-formation benefits and support during your family-building journey ensure you have the resources you need when it matters most. We believe in giving back and supporting our communities with paid volunteer time off and a donation matching program for the causes you care about. Join us and be a part of a collaborative and welcoming culture where your contributions are valued, and your professional growth is a priority. Together, we are building a company of long-term value that we can all be proud of. provides equal employment opportunities to all qualified applicants and will make hiring decisions without regard to race, color, sex, sexual orientation, gender identity or expression, religion, national origin or ancestry, age, disability, marital status, pregnancy, protected veteran status, protected genetic information, political affiliation, or any other characteristic protected by federal, state or local laws. Please note: will not hire through text message, social media, or email alone. We will never extend a job offer unless you have been contacted directly by an recruiter and have participated in the interview process which will generally consist of 3 or more virtual or in person meetings. Please note that only uses company email addresses, which contain “@” or “@” to communicate with candidates via email. will never ask for financial information of any kind or for any payment during the job application process. We post all legitimate job openings on the Career Site at. If you believe you were a victim of such a scam, you may contact your local authorities. is not responsible for any claims, losses, damages, or expenses resulting from scammers. Match 9% Good match We match every vacancy against your profile and show a fit score — so you instantly know which ones are worth applying to. Sign up and create a resume — it's free. Not enough data to estimate a salary range for this role in this region yet. 's ML team builds the data and intelligence layer that powers products used by professional firms across legal, accounting, consulting, and private capital. We're looking for an ML engineer to work on the systems that collect, enrich, and structure data from the web at scale — and to bring that same rigor to the ML components embedded across our product suite. What You'll Do: Design and maintain NLP pipelines that extract, classify, and enrich structured knowledge from unstructured web contentBuild and operate agentic workflows that automate data collection, validation, and maintenance with minimal human-in-the-loop overheadCollaborate with product and data engineering teams to ship ML components that improve the quality and reliability of our data-driven productsEvaluate and integrate frontier models where they reduce complexity or improve coverage, with a bias toward production stability over noveltyOwn the full lifecycle of your systems — from design through deployment, monitoring, and iteration What You'll Need: Strong foundations in NLP and applied ML, with hands-on experience shipping systems to productionFamiliarity with agentic patterns (tool use, multi-step reasoning, retrieval-augmented systems) and the tradeoffs that come with themExperience working with large-scale, web-sourced data — crawling, parsing, deduplication, entity resolution, or similarComfort operating across the ML stack: data pipelines, model training and evaluation, and inference infrastructureCollaborative and direct — you write clean code, communicate clearly, and have opinions you can defend Nice To Have: Experience with knowledge graph construction or entity-centric data modelsFamiliarity with LLM evaluation frameworks and production monitoringBackground in domains where data quality is a core product quality signal Here, You Will Have The Opportunity To: Expand Your Skills: Unlock your potential with professional development opportunities supported by a community of experienced professionals. We offer reimbursement for training and continuing education to help you stay ahead in your career.Enjoy Where You Work: Thrive in our modern, open offices designed to inspire creativity and collaboration. Our complimentary lunches and fully stocked kitchens ensure you have everything you need to stay energized throughout the day.Support What Matters Most: Our comprehensive wellness and flexible time off programs and our benefits are designed to care for you and your family. Our family-formation benefits and support during your family-building journey ensure you have the resources you need when it matters most. We believe in giving back and supporting our communities with paid volunteer time off and a donation matching program for the causes you care about. Join us and be a part of a collaborative and welcoming culture where your contributions are valued, and your professional growth is a priority. Together, we are building a company of long-term value that we can all be proud of. provides equal employment opportunities to all qualified applicants and will make hiring decisions without regard to race, color, sex, sexual orientation, gender identity or expression, religion, national origin or ancestry, age, disability, marital status, pregnancy, protected veteran status, protected genetic information, political affiliation, or any other characteristic protected by federal, state or local laws. Please note: will not hire through text message, social media, or email alone. We will never extend a job offer unless you have been contacted directly by an recruiter and have participated in the interview process which will generally consist of 3 or more virtual or in person meetings. Please note that only uses company email addresses, which contain “@” or “@” to communicate with candidates via email. will never ask for financial information of any kind or for any payment during the job application process. We post all legitimate job openings on the Career Site at. If you believe you were a victim of such a scam, you may contact your local authorities. is not responsible for any claims, losses, damages, or expenses resulting from scammers.