Machine Learning Engineer

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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.

What You'll Do • Design and maintain NLP pipelines that extract, classify, and enrich structured knowledge from unstructured web content • Build and operate agentic workflows that automate data collection, validation, and maintenance with minimal human-in-the-loop overhead • Collaborate with product and data engineering teams to ship ML components that improve the quality and reliability of our data-driven products • Evaluate and integrate frontier models where they reduce complexity or improve coverage, with a bias toward production stability over novelty • Own 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 production • Familiarity with agentic patterns (tool use, multi-step reasoning, retrieval-augmented systems) and the tradeoffs that come with them • Experience working with large-scale, web-sourced data — crawling, parsing, deduplication, entity resolution, or similar • Comfort operating across the ML stack: data pipelines, model training and evaluation, and inference infrastructure • Collaborative 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 models • Familiarity with LLM evaluation frameworks and production monitoring • Background 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.

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.

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.

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.

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 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.

Equal Employment Opportunity 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.