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Quelle: StudySmarter Stellenbestand · Status: aktiv · Bewerbung über das zentrale StudySmarter-Formular.
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Das ist der Job
Raise the bar.
Darum lohnt es sich
And here’s what else is needed to succeed in this role: Hard Skills 5+ years of experience as a Data Scientist, Machine Learning Engineer, or in a similar role Strong knowledge of machine learning, statistics, and classical NLP techniques Strong Python and SQL skills Practical experience working with LLMs or LLM‑based systems Understanding of how to evaluate model quality using datasets, benchmarks, or experiments Ability to write clean, maintainable, and reliable code Ownership mindset and ability to work with ambiguous product problems Soft Skills You care about delivering working solutions, not just experiments You balance execution speed with code quality, reliability, and maintainability You communicate clearly and collaborate well across Data Science, Product, and Engineering Not Required, but a Plus Experience with RAG, AI agents, or agent‑based systems Experience deploying ML or LLM‑based solutions in production Experience with GCP, Vertex AI, or GitLab CI Experience with asynchronous Python, high‑throughput API calls, or large‑scale data processing Experience with monitoring, experiment tracking, or reproducible research practices About the Team We are a Data Science team focused on LLM‑ and NLP‑powered products for AI Search optimization.
Our Stack Python Google Cloud Platform ClickHouse, PostgreSQL ClearML, Docker, LangFuse, DVC LLM APIs: OpenAI, Google, Anthropic, Perplexity About the Perks Unlimited PTO Hobby & team building budget allowance Employee Support Program Loss of family member financial aid Employee Resource Groups About Our Diversity, Equity, and Inclusion Commitments Semrush is an equal opportunity employer.
About the Role Build and improve LLM‑ and NLP‑based systems used in AI Search optimization products Design evaluation frameworks and benchmarks for LLM outputs, prompts, and model behavior Work on brand extraction, domain mapping, entity extraction, and related algorithmic tasks Optimize LLM pipelines for quality, cost, throughput, and reliability Write clean, production‑quality Python code Collaborate with Product, Engineering, and other Data Scientists to turn product problems into working technical solutions Examples of Our Projects Brand Extraction and Domain Mapping – extracting brand names, mapping corresponding domains, and other relevant entities from LLM‑generated responses LLM quality evaluation and optimization – building benchmarks to evaluate prompt and model quality, while improving throughput, latency, and cost Algorithm development – designing and improving algorithms for product aliases, brand hierarchies, and other domain‑specific problems About You Move together.
Learn fast—grow faster. That’s the default. We work on AIO, AI Summarization, Brand Extraction and Domain Mapping, building AI‑driven solutions for SEO analysis, entity extraction, and domain understanding. Building a better future for marketers around the world unites people from all backgrounds.
Even if you feel that you don’t 100% match all requirements, don’t be discouraged to apply! We are committed to ensuring that everyone feels a sense of belonging in the workplace.
We do not discriminate based upon race, religion, creed, color, national origin, sex, pregnancy, sexual orientation, gender identity, gender expression, age, ancestry, physical or mental disability, or medical condition including medical characteristics, genetic identity, marital status, military service, or any other classification protected by applicable local, state or federal laws. #J-18808-Ljbffr
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