Machine Learning Engineer

Posted 3 Days Ago
Be an Early Applicant
Berlin, DEU
In-Office
Entry level
Software
The Role
Design, deploy, and operate NLP pipelines and agentic workflows that collect, classify, enrich, validate, and maintain web-sourced data. Collaborate with product and data engineering teams to integrate ML components, evaluate frontier models, and improve product data quality. Own systems throughout their lifecycle, including training, evaluation, deployment, monitoring, and iteration.
Summary Generated by Built In

Intapp'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 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 Intapp, 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.

#Li-MT2

Intapp 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: Intapp 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 Intapp recruiter and have participated in the interview process which will generally consist of 3 or more virtual or in person meetings. Please note that Intapp only uses company email addresses, which contain “@intapp.com” or “@dealcloud.com” to communicate with candidates via email. Intapp 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 Intapp Career Site at https://www.intapp.com/working-at-intapp/. If you believe you were a victim of such a scam, you may contact your local authorities. Intapp is not responsible for any claims, losses, damages, or expenses resulting from scammers.

Skills Required

  • Strong foundations in natural language processing and applied machine learning
  • Hands-on experience shipping machine learning systems to production
  • Familiarity with agentic patterns, including tool use, multi-step reasoning, and retrieval-augmented systems
  • Experience working with large-scale, web-sourced data, including crawling, parsing, deduplication, or entity resolution
  • Experience across the machine learning stack, including data pipelines, model training and evaluation, and inference infrastructure
  • Clean coding and clear communication skills
  • Experience with knowledge graph construction or entity-centric data models
  • Familiarity with large language model evaluation frameworks and production monitoring
  • Background in domains where data quality is a core product quality signal

Intapp Compensation & Benefits Highlights

The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Intapp and has not been reviewed or approved by Intapp.

  • Healthcare Strength Medical coverage is described as comprehensive with multiple plan choices, including HMO, PPO, and HDHP options with company HSA funding. Employer-verified listings indicate strong healthcare offerings for employees and families.
  • Parental & Family Support Paid parental leave provides substantial time for primary and secondary caregivers, and fertility support (e.g., via Carrot) is highlighted. These family-focused benefits appear alongside broader flexibility.
  • Leave & Time Off Breadth Generous PTO, recognition of major regional holidays, and flexible or unlimited PTO on some teams indicate ample time away. The company also promotes a highly flexible work environment.

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The Company
HQ: Palo Alto, CA
600 Employees
Year Founded: 2000

What We Do

Intapp powers connected firms. Trusted by 1,600 of the world’s top private capital, investment banking, legal, accounting, and consulting firms, Intapp offers end-to-end, cloud-based connected firm management software built for the unique needs of partner-led firms. Intapp helps enhance collaboration, unleash collective knowledge, transform decision-making, and fuel success. Our products and services span the entire relationship lifecycle — from strategy through origination and execution — to drive optimal outcomes. For more information, visit intapp.com.

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