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1–2 jobs· newest first

Machine Learning Scientist II
Expedia · Geneva, Switzerland
Principal AI Tool Engineer for Software Automation/Testing
Palo Alto Networks · Palo Alto, US
$156K–$253KHybrid · Full-time · Principal

+10K new in the last hour

Machine Learning Scientist II

Expedia · Posted Aug 26, 2026

Geneva, Geneva, Switzerland
2+ years

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Develop and deploy production machine learning solutions for Expedia Group's Air Pricing team.

Responsibilities

Develop, evaluate, and improve machine learning models for Air product and business problems
Translate ambiguous problems into measurable objectives and select appropriate data, modeling approaches, and evaluation methods
Partner with engineers, product managers, scientists, analysts, and Air domain experts to move machine learning solutions from experimentation into reliable products
Analyze large and complex datasets, identify meaningful patterns, and communicate data-driven recommendations to technical and non-technical stakeholders
Design and conduct experiments, apply causal-inference methods where appropriate, interpret results, and iterate on models and workflows to improve accuracy, efficiency, and business and traveler outcomes

Requirements

Bachelor's degree in Computer Science or a related technical field; or Equivalent related professional experience
Nice to have: advanced degree in machine learning, computer science, statistics, mathematics, economics, operations research, engineering, or a related technical discipline
Nice to have: experience or strong domain interest in airlines, travel marketplaces, revenue management, yield management, pricing, or commercial decision science
Nice to have: experience operating machine learning models or data products at scale
Nice to have: practical exposure to experimentation or causal-inference methods

Skills

programming data analysis machine learning methods model evaluation techniques development tools system design low-level design API design data modeling distributed computing frameworks Apache Spark

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Principal AI Tool Engineer for Software Automation/Testing

Palo Alto Networks · Posted Oct 28, 2026

Palo Alto, California, United States
Hybrid
Full-time · Principal
$156K–$253K per year
8+ years

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Design and develop testing frameworks for AI/ML models and LLM applications, building automated pipelines for model validation and benchmarking.

Compensation

$156,400.00 - $253,000.00/yr

Responsibilities

Design and develop testing frameworks for AI/ML models and LLM applications
Build automated pipelines for model validation, regression testing, and benchmarking
Create evaluation datasets, synthetic data, and test scenarios for edge cases
Implement metrics to assess accuracy, robustness, latency, and safety
Develop tools for prompt testing, output validation, and hallucination detection

Requirements

Bachelor’s or Master’s degree in Computer Science, AI, Machine Learning, or related field
Nice to have: LLMs
Nice to have: Prompt engineering
Nice to have: LangChain
Nice to have: OpenAI Evals

Skills

Python PyTest unittest Machine learning concepts Model evaluation techniques

Distributed systems

CI/CD pipelines

Data structures

Software design principles

Observability tools

Benefits

Restricted stock units
Bonus

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