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1–2 jobs· newest first

Senior Machine Learning Engineer, Search & PersonalizationNew
Bask Health · Remote, US
Remote · Full-time · Senior
Staff Backend Engineer
kleinanzeigen.de GmbH · Berlin, Germany
Hybrid

+10K new in the last hour

Senior Machine Learning Engineer, Search & Personalization

Bask Health · Posted Nov 12, 2026

Remote, United States
Remote
Full-time · Senior
5+ years

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Design, build, and improve intelligent search, discovery, and personalization capabilities across Bask Health's platform.

Responsibilities

Design, build, and deploy machine learning systems for search, discovery, ranking, and personalization.
Develop semantic search capabilities that improve how users find information across Bask Health's applications.
Build and optimize retrieval pipelines using embeddings, vector search, and traditional search methods.
Design hybrid search systems combining lexical matching, semantic retrieval, and relevance ranking.
Develop ranking models and algorithms that prioritize useful search results.

Requirements

5+ years of professional experience in machine learning engineering, software engineering, search engineering, or a closely related technical discipline.
Nice to have: Personalized Recommendation Systems
Nice to have: Learning-to-Rank Models
Nice to have: Approximate Nearest Neighbor Search
Nice to have: Elasticsearch

Skills

Python Machine Learning Software Engineering Search Engineering Production ML Systems Semantic Search Information Retrieval Ranking Algorithms Embeddings Vector Search Hybrid Retrieval Data Pipelines Backend APIs Cursor Claude Code

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Staff Backend Engineer

kleinanzeigen.de GmbH · Posted Oct 26, 2026

Berlin, Germany
Hybrid
5+ years

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Senior Search Engineer bridging search infrastructure and data science to build high-performance retrieval pipelines and run rigorous experiments.

Compensation

Competitive compensation package (Base salary + annual bonus)

Responsibilities

Design and implement search features end-to-end: from indexing pipeline changes and schema design to query rewriting, ranking, and autocomplete.
Lead data-driven technical initiatives — write RFCs grounded in query log and user behaviour analysis, then own delivery from design to production.
Champion semantic and vector search: design embedding-based retrieval components, integrate LLMs for query understanding or evaluation, and measure real impact via A/B experiments.
Build and maintain offline evaluation pipelines (relevance judgment, NDCG, MRR) to accelerate the feedback loop between experimentation and deployment.
Improve indexing reliability and throughput — reduce re-ingestion times, ensure consistency, and tighten SLAs.

Requirements

Nice to have: LLM-based approaches
Nice to have: big data tooling
Nice to have: Spark
Nice to have: Trino
Nice to have: DuckDB

Skills

search engineering Elasticsearch

semantic search

dense retrieval

embedding fine-tuning

relevance evaluation

statistical analysis

Benefits

28 business days of paid annual holidays
20 days work from anywhere
Flexible working time
Paid additional parental leave for both parents
Extra paid days off for special occasions

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