Stage 2027 Optimisation des performances au décollage : analyse des bases de données d'obstacles et des pratiques opérationnelles des compagnies aériennes à partir de données en exploitation (F/H)New
Airbus · Toulouse, France
Internship · Entry
Mythos – CrowdStrike Falcon Platform EngineerNew
XPT Software Australia Pty Ltd · Melbourne, Australia
On-site · Full-time · Senior
Senior Engineer, Maintenance EngineeringNew
Western Digital · Bang Pa-in, Thailand
Senior
Network EngineerNew
Google · Austin, US
$126K–$180K· On-site
Data Scientist II, EngThrive Insights - CoreAINew
Microsoft · Redmond, US
$102K–$202K· On-site · Full-time · Mid
Life Sciences Research & Python Specialist (MSc/PhD)
Stage 2027 Optimisation des performances au décollage : analyse des bases de données d'obstacles et des pratiques opérationnelles des compagnies aériennes à partir de données en exploitation (F/H)
Be responsible for development of solutions for Google's enterprise network, executing new features qualification and validation through network development, deployment, operation, and optimization.
Scale systems sustainably through tools and automation, and evolve systems by driving change that improves reliability and velocity.
Complete the requirement analysis, engineering design, and solution development of Google’s enterprise network infrastructure.
Work with Partner teams to analyze requirements or potential problems and proactively develop solutions and policy recommendations.
Lead development of Google’s Enterprise Network infrastructure through published engineering design documents and specifications. Lead the requirement analysis, engineering design and solution development of Google’s enterprise network infrastructure.
Requirements
Bachelor's degree in Computer Science, Engineering, a related field, or equivalent practical experience
Nice to have: multi-vendor environment
Nice to have: intermediate to expert level knowledge with Linux
Imagine making AI coding tools more effective for tens of thousands of Microsoft engineers—that’s what you’ll do on the Engineering Thrive Insights team.
Compensation
Data Science IC3 - The typical base pay range for this role across the U.S. is USD $102,100 - $202,200 per year. There is a different range applicable to specific work locations, within the San Francisco Bay area and New York City metropolitan area, and the base pay range for this role in those locations is USD $133,800 - $219,200 per year.
Responsibilities
Define success metrics, design and analyze experiments, develop statistical and machine-learning models, and uncover opportunities to improve AI-assisted software development.
Build rigorous measurement frameworks, evaluate product changes, and translate complex behavioral and product data into recommendations for engineering and product teams.
Deepen expertise in experimentation, causal inference, developer productivity frameworks such as DORA and SPACE, AI product evaluation, and privacy-conscious analytics.
Prototype and develop AI models using containerized environments to operationalize, build, and validate scalable tools/applications/solutions.
Develop and deploy systems for basic retrieval-augmented generation workflows, assisting in the selection of data sources, retrieval systems, and generative models.
Requirements
Doctorate in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field
Master's Degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field
Life Sciences Research & Python Specialist (MSc/PhD)
Eagle Seven is seeking a Senior Systems Engineer to lead the technical design, planning, and implementation of our hardware and operating system strategies for trading systems.
Compensation
The minimum base salary for this role starts at $180,000. This role is eligible for a discretionary performance bonus as part of the total compensation package, in addition to the benefits listed above.
Responsibilities
Driving the planning and execution of technical projects focused on optimizing Linux-based trading systems, including hardware, network, and OS improvements.
Managing and enhancing a global trading infrastructure to ensure high availability, performance, and scalability.
Developing solutions to automate and resolve a wide range of infrastructure tasks and issues to ensure seamless operations along with reducing manual intervention.
Diagnosing and troubleshooting complex hardware and software problems, providing rapid resolutions to minimize downtime.
Overseeing system installations, ensuring they are maintained to the latest firm standards.
Lead development and maintenance of global HR applications, integrating data solutions and advanced analytics.
Compensation
The pay range for this position at commencement of employment is expected to be between $90,000 -$125,000 per year* (see below footnote for additional compensation and benefits information).
Responsibilities
Manage and support HR business applications, including problem resolution and issue ownership
Support data analytics and data science initiatives with optimized data structures and AI/ML tools
Manage vendor products and their integrations with internal/external applications
Gather requirements and translate functional needs into technical specifications
Perform QA and impact analysis when rolling out enhancements to HR systems
Requirements
Bachelor’s degree in computer science or engineering or equivalent
Bachelor's Degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field
Nice to have: Doctorate in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field with 1+ year data-science experience
Nice to have: Master's Degree with 3+ years data-science experience
Execute CFD and aerodynamic analysis workflows using command-line-accessible tools
Requirements
Master's or PhD in Aerospace Engineering, or Mechanical Engineering with a specialization in aerodynamics, fluid dynamics, or thermofluids
Bachelor's degree in Aerospace Engineering or Mechanical Engineering, combined with at least 1–2 years of relevant aerodynamics-specific professional or research experience
Mythos – CrowdStrike Falcon Platform EngineerNewXPT Software Australia Pty Ltd · Melbourne, Australia
Network EngineerNewGoogle · Austin, US
Life Sciences Research & Python Specialist (MSc/PhD)Gramian Consulting Group · US+12 more
Senior Systems Engineer (Linux)Eagle Seven · Chicago, US
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