Senior ML Researcher (Spectrum)

United States Digital Space LLC; Berlin, München; Vor Ort; EUR 90.000 - 130.000; Vollzeit

Benefits dieser Stelle

Competitive salary

Remote work up to 30 days abroad

Meal allowance

Medical insurance allowance

Conference sponsorship

Zusammenfassung

Spectrum is building a living specification for semantic software systems, extracting knowledge from code, docs, and issues to keep architectures aligned. We seek a Senior ML Researcher to define and execute a research agenda, develop core methods for temporal ontology extraction, and advance semantic alignment across heterogeneous software artifacts.

You will lead experiments, collaborate with engineers, publish in top venues, and help ship methods that power a real product used by software

Qualifikationen

• PhD (or equivalent) in NLP, knowledge graphs, ontology learning, information extraction, or related field.
• Strong publication record in knowledge graph construction, ontology learning, information extraction, or NLP.
• Experience applying LLMs to structured knowledge extraction tasks.
• Experience designing and running rigorous experiments with hypothesis testing and ablations.

Aufgaben

• Develop LLM-based ontology construction methods from code, docs and issue trackers.
• Create datasets, metrics and benchmarks to drive measurable improvements.
• Prototype and validate research ideas and collaborate with ML and software engineers for production.
• Collaborate with researchers and external advisors to shape the research agenda.
• Publish findings at top venues and represent Spectrum in the research community.

Kenntnisse

NLP

Knowledge graphs

Ontology learning

Information extraction

LLMs

Ausbildung

PhD in NLP / Knowledge graphs

Tools

Python

PyTorch

OWL

RDF

SPARQL

Jobbeschreibung

Software engineers and AI agents alike suffer from the same problem: finding that one person or place that will answer their tough, specific question. Many solutions promise to solve this with similarity search in vector databases. Unfortunately, finding the answer is often a puzzle with pieces to be collected across a myriad of contradictory sources and cannot be solved without surgical search and careful reasoning.

Spectrum collects data from an organization's code, docs, and issues, and organizes knowledge in a unified ontology that AI agents can efficiently search through and reason over. We aim to revolutionize the semantic layer space for software-building organizations and move beyond specs that fall out of sync with code, introducing a living spec - one that's extracted from the whole system and used to keep it aligned. Spectrum is meant to be the single source of truth for all product and architectural knowledge.

A resident of the company' startup incubator, Spectrum enjoys startup speed and autonomy, and is backed by 25 years of developer tooling expertise. We are looking for a Senior ML Researcher to develop the core methods that make Spectrum possible - novel approaches to temporal ontology extraction, contradiction detection, and semantic alignment across heterogeneous software artifacts. You will help define and execute the research agenda, while also collaborating with the company Research and external academic advisors.

Your responsibilities will include:

• Developing methods for LLM-based ontology construction from code, documentation, and issue trackers, including contradiction detection and reasoning over the resulting knowledge graph.
• Creating datasets, metrics, and benchmarks that drive measurable improvements across the system.
• Prototyping and validating research ideas, then collaborating with ML and software engineers to bring them to production.
• Collaborating with the company Research and external academic advisors to shape our research agenda.
• Publishing research findings at top venues and representing Spectrum in the research community.

We expect you to have:

• A PhD (or equivalent research experience) in NLP, knowledge graphs, ontology learning, information extraction, or a closely related field.
• A strong publication record in at least one of the following areas: knowledge graph construction, ontology learning, information extraction, or NLP.
• Experience applying LLMs to structured knowledge extraction tasks.
• Experience designing and running rigorous experiments, including hypothesis formulation, ablation studies, and statistical evaluation.
• Strong Python and PyTorch skills, with the ability to implement research ideas from scratch.
• Excellent communication skills, with the ability to explain complex technical concepts to diverse audiences.
• Proficiency in English, both written and verbal.

Our ideal candidate would also have:

• Experience with ontology engineering, semantic web technologies (OWL, RDF, SPARQL), or ontology alignment.
• A background in code analysis, developer tools, or software engineering research.
• Experience with knowledge graph embedding methods or graph neural networks.
• Experience in early-stage startups - you enjoy the zero-to-one phase.
• Actively contributed to relevant open-source projects.

What we offer:

• A competitive salary and the company benefits.
• A generous runway and corporate resources with startup autonomy.
• Full support for publishing ML research and attending industry conferences.
• Collaboration with the company Research and external academic advisors in the knowledge graph and ontology learning community.
• A motivated team that moves fast, with short feedback loops, rapid prototyping, and lots of ownership.
• A rare applied research role where your methods ship in a real product used by software teams.

Why join the company?

• Strong base salary. We offer competitive pay that reflects your skills and experience.
• Flexible work location. Enjoy the freedom to work from home or from the office.
• Remote work. Spend up to 30 days per year working remotely from abroad.
• Extra time off. More days to relax, recharge, and do the things you love.
• Medical insurance allowance. Enjoy peace of mind for you and your family
• Learning and development opportunities. Access to conferences, courses, and language classes.
• Language classes. Pick up the local language or sharpen your English skills.
• Fuel your day. Enjoy a hot meal or receive a lunch allowance on workdays.
• Mental health support. To help you feel your best, we provide easy access to professional mental health services.
• Sports benefit. Enjoy an on-site gym or sports club stipend.
• Internal events. Join company-wide celebrations and team gatherings.

*Some benefits may vary depending on location.

We are an equal opportunity employer
We know great ideas can come from anyone, anywhere. That's why we do our best to create an open and inclusive workplace - one that welcomes everyone regardless of their background, identity, religion, age, accessibility needs, or orientation.

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