Apply scientific expertise to create, solve, and review challenging research problems within biology and related fields using Python.
Compensation
Compensation is output-based. Experts are paid per task that meets the project specifications. The time required to complete each task may vary depending on the expert’s experience and workflow. Minimum submission requirements apply.
Responsibilities
Create and solve technically rigorous scientific problems within your area of expertise.
Develop reproducible Python-based analyses, models, simulations, or data-processing workflows.
Review scientific solutions and code for correctness, clarity, and completeness.
We're looking for a Senior Search Engineer who bridges the gap between search infrastructure and data science: someone who can both architect a high-performance retrieval pipeline and run rigorous offline experiments to validate relevance improvements.
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: Vespa migration
Nice to have: migrating from Solr/Elasticsearch to Vespa
Associate (AI) Solution Consultant in Celonis’ Orbit Graduate program, responsible for AI discovery, solutioning, prototyping, and client engagement to drive AI adoption and ROI.
Locations (2)
Madrid, Madrid, Spain
Munich, Bavaria, Germany
Responsibilities
Understand customer AI strategy and business challenges
Translate requirements into innovative solutions
Prototype AI solutions in hackathons
Support customers in achieving AI ROI
Deliver presentations and demos to senior executives
Requirements
Bachelor's degree in Engineering, Data Analytics/Science, Computer Science, Mathematics, or related STEM field
Nice to have: Supply chain process experience (Procurement, Order Management, Inventory Management, Production)
Nice to have: ERP experience (SAP, Oracle)
Nice to have: Experience with LLM orchestration, function calling, prompt engineering
Associate Applied (AI) Value Engineer (DACH) - Orbit Program
Vice President level Senior AI Engineer role focused on designing and deploying Generative AI and Agentic AI solutions for the banking sector.
Responsibilities
Design, implement, test, and deploy scalable generative AI applications and agentic workflows for critical banking use cases.
Build end-to-end applications integrating front-end interfaces, backend services, and state-of-the-art LLM tools, APIs, and Model Context Protocol (MCP) integrations.
Champion an agile, MVP-first mindset to rapidly develop Proof of Concepts (POCs), run A/B experiments, iterate based on feedback, and accelerate time-to-value.
Implement evaluation metrics, guardrails, automated testing, and telemetry to benchmark agent behavior, response accuracy, and operational performance.
Collaborate closely with Lead Engineers, Data Scientists, Product Managers, and cross-functional teams; uphold best practices in code quality, automated testing, CI/CD, and peer reviews.
Requirements
Bachelor's or Master's degree in Computer Science, Software Engineering, Data Science, or related technical field
Nice to have: Experience in banking, financial services, or other highly regulated enterprise environments
We are seeking a first-principles thinker and skilled data scientist to solve complex data challenges. This is not a role for operating pre-built tools; this is an opportunity to architect and build the core data logic of our systems.
Compensation
Primary Level Salary Range: $156,400.00 - $234,600.00. Depending on the position, employees may be eligible for overtime, shift differential, and a discretionary bonus in addition to base pay.
Responsibilities
Collaborate closely with software engineers, analysts, and other data scientists to understand data requirements and deliver robust, integrated solutions.
Architect and develop custom, maintainable data science solutions from the ground up.
Write and maintain tests and documentation for data architecture, workflows, and processes.
Champion software engineering best practices within the data domain, including comprehensive unit/integration testing, CI/CD automation (Git, Docker), and robust documentation.
Tune and optimize complex algorithms within our on-premise infrastructure.
Requirements
Bachelor’s Degree in a Science, Technology, Engineering or Mathematics discipline
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