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The financial risk management (FRM) machine learning principal will be the most senior machine learning engineer and strategist for financial risk at Meta. The principal will enable the risk organization to deliver significant lift over current long range objectives for friction and leakage through the generation of new Machine Learning opportunities for the organization and support of successful delivery of the risk management ML architecture. This person will partner closely with the FRM engineering leader (Director level) and be part of Metas risk management leadership circle.
Financial Risk Management Machine Learning Principal Responsibilities
Address core business and technical machine learning opportunities: elevate the existing portfolio of machine learning solutions to be state-of-the-art for minimizing Metas financial losses (due to leakage, good revenues loss and friction). Following are a few examples of technical and business problems we aim to address. - Provide a solution for optimizing the risk machine learning model ensemble (covering the entire end-to-end advertiser funnel including detection, decisioning, enforcement and remediation) through optimization of the current model portfolio and individual models. - Minimize the impact of the prolonged financial fraud feedback loop. - Improve models measurement and performance. - Optimize data/label strategy. - Optimize balance between specific targeted model strategy and broad umbrella model strategy to optimize for short and long term benefits
Lead Research and Introduction of Advanced Technologies: - Collaborate with Financial Integrity's senior ML Engineers to lead the research and introduction of deep learning and Large Language Model (LLM) technologies. - Remain current on industry-wide advancements in ML and introduce relevant advancements in Financial Risk Management
Collaborate on Next-Generation ML Architecture: - Work closely with financial harms principals and risk management tech leads to deliver the next-generation ML architecture for Meta's risk management system. - Collaborate with Principal ML engineers from across the company to adopt best industry and Meta practices within the FRM team. - Resolve or mitigate design dilemmas, balancing business and technical trade-offs. - Identify and initiate opportunities for collaboration and impact with other organizations at Meta
Identify and Initiate New Business Opportunities: - Collaborate with Meta FinTech, Central Integrity and Core Ads Growth partnerships to identify and initiate new business opportunities based on third-party capabilities. - Conduct proof of concept for different opportunities and initiate integrations to enhance business performance
Grow Other Senior ML Engineers - Actively invest in the growth of other senior ML engineers through goal-driven formal and informal mentorship. - Provide regular feedback to other engineers regarding their technical work

Microsoft is building the fastest and most reliable networks for cloud computing and for emerging workloads such as AI/ML. Microsoft Azure is one of the largest public cloud platforms worldwide, providing a great channel for product impact that touches the lives of millions of users daily. Microsofts partnership with world leaders in AI technology provides unparalleled opportunities for innovation at the cutting edge of high-performance computing and networking.

Our team has delivered Azure Boost and we are now looking for talented hardware verification engineers to join our team, developing Azures next generation networking devices.

Microsofts innovative approach for hardware/software co-design leverages custom-designed hardware to offload and accelerate many types of computations and functions of the Azure network. Our vertical work environment offers an unparalleled opportunity to define end-to-end features, implement & test them, and then deploy your work and see how it is used at cloud scale!

Come join us and be challenged daily as you build advanced hardware/software acceleration solutions for some of the worlds largest datacenter networks and AI supercomputers. This is a great opportunity to join a team that has built some of the largest scale cloud systems ever deployed and learn from the very best
Responsibilities
Own and lead the development of complicated hardware units and test environments, based on deep understanding of customer requirements, functionality, and system architecture.
Design and implement RTL in System Verilog, and VIP, test benches, and verification infrastructure in System Verilog UVM.
Develop and execute test/coverage plans to verify hardware designs and reach cloud-grade quality.
Interact with software developers and system-validation platforms, as part of the verification/validation flow.
Oversee and train junior engineers and take leadership roles on large projects.
Occasional on-call responsibilities for resolving customer issues in production.

Are you an insatiably curious, deeply passionate and hands-on technologist? Are you at your best when working with engineers, architects and technology leaders on fun and hugely impactful technical challenges? If so, we invite you to join our team as a Cloud & AI Solution Engineer for commercial customers at Microsoft. Here, you'll be at the forefront of innovation, working on cutting-edge projects that leverage the latest technologies to drive meaningful impact. Join us and be part of a team that thrives on collaboration, creativity, and continuous learning.

We will be opening several new roles, and candidates should have expertise in one or more of the following areas:



Cloud Infrastructure including Cloud Migration & Modernization
Data and Analytics
AI Applications
Software, Development Tools & AI

Microsofts mission is to empower every person and every organization on the planet to achieve more. As employees we come together with a growth mindset, innovate to empower others, and collaborate to realize our shared goals. Each day we build on our values of respect, integrity, and accountability to create a culture of inclusion where everyone can thrive at work and beyond.
Responsibilities
Drive technical sales with decision makers using demos and PoCs to influence solution design and enable production deployments.
Lead hands-on engagementshackathons, code-with sessions, and architecture & technical workshopsto accelerate adoption of Microsofts developer tools and cloud platforms.
Build trusted relationships with developers and platform leads as well as AI decision makers to co-design secure, scalable architectures and solutions
Resolve technical blockers and objections, collaborating with engineering to share insights and improve products.
Maintain deep expertise in one of the following:
Software Solutions Engineer: GitHub, Visual Studio, AI-assisted dev tools, Foundry SDK, CI/CD, DevOps, and cloud-native development (APIs, containers, microservices)
Data Solution Engineer: Analytics Portfolio: Microsoft Fabric (OneLake, DW, real-time intelligence, BI, Copilot), Azure Databricks, Purview Data Governance and Azure Databases: SQL DB, Cosmos DB, PostgreSQL, Maintain and grow expertise in on-prem EDW (Teradata, Netezza, Exadata), Hadoop & BI solutions.
Infrastructure Solution Engineer: Cloud migration (Windows, SQL, Linux, PostgreSQL, app workloads), resiliency, security, and compliance. Deepen knowledge of enterprise apps (SAP, Oracle) and Azure VMware Solution (AVS).
AI Applications Solution Engineer: AI Foundry & App architecture (Agentic AI framework, TensorFlow, Pytorch, Responsible AI) and App architecture/cloud native dev (APIs, containerization, microservices, event-driven). Maintain and grow expertise in AI Management & Security (Gen AI Ops, Sentinel, orchestrator, monitoring).
Represent Microsoft in customer forums and technical communities through thought leadership.

Ensure seamless application functionality and optimal product performance by providing expert technical assistance, continuously monitoring application health, managing and resolving application issues, implementing changes, and maintaining service assurance and performance metrics.

Key Roles and Responsibilities:
Typical responsibilities may include, but are not limited to:

Application Monitoring and Response: Continuously monitor applications for outages and performance issues, proactively respond to alerts, and develop outage management tools and automation solutions.
Problem Management and Resolution: Diagnose and resolve complex application problems, manage the issue lifecycle, conduct thorough root cause analysis, and ensure continuity of business operations and service assurance.
Service Assurance Management: Maintain and oversee service levels and SLAs, ensure optimal application performance, contribute to long-term planning, and monitor key performance metrics. Collaborate with end users, application delivery teams, and third-party vendors as needed.
Change Management and Implementation: Manage and implement application updates, patches, and deployments across pre-production, testing, and production environments, ensuring changes are executed smoothly and effectively.
Tuning and Configuration: Optimize application and infrastructure configurations, support and configure performance monitoring tools, and analyze transaction flows for continuous performance improvement.
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Job Contribution:
A seasoned professional recognized as an expert in the field, adept at resolving complex issues with broad and deep technical knowledge. Leads significant projects with strategic autonomy, influences executive-level decisions, mentors less experienced staff, and implements long-term plans that impact the organization. Frequently collaborates with senior leadership.

Handles complex Tier 2 issues, possesses in-depth knowledge of multiple applications and business processes, assists development teams in root cause analysis and future improvements, and defines automation requirements throughout the production support process.

Design, develop, test, deploy, and maintain high-quality software solutions, ensuring efficient delivery processes and robust production support. Emphasis is placed on automation, innovation, and adherence to industry best practices.

Key Roles and Responsibilities:
Typical duties may include, but are not limited to:

Design, Development, and Coding: Architect and code software applications using various programming languages and modern development methodologies. (Lead Software Engineers are expected to be hands-on in both design and coding.)
Collaboration and Communication: Gather and analyze software requirements, provide accurate estimates, create detailed design specifications, and collaborate with engineers and architects to assess and validate hardware and software integrations.
Testing and Debugging: Develop and implement automated test plans, validate test environments and data, design and execute code fixes, and generate comprehensive reports.
Maintenance and Support: Troubleshoot and resolve configuration and environment issues, ensuring continuous and reliable application performance.
Deployment: Oversee and support the software deployment process, ensuring smooth transitions from development to production.
Job Contribution:
Serves as an experienced professional and recognized expert, creatively solving complex challenges with broad and deep technical knowledge. Leads significant projects with strategic autonomy, influences executive decision-making, mentors less experienced team members, and implements long-term initiatives that have organization-wide impact. Frequently collaborates with senior leadership.

Meta is seeking a leader in our Data Engineering team to work closely with Product Managers, Data Scientists and Software Engineers to support product launches and roadmaps by building the data architecture that informs and drives insight. In this role, there will be a direct link between your work, company growth, and user satisfaction. You'll work with some of the brightest minds in the industry, work with one of the richest data sets in the world, use cutting edge technology, and see your efforts affect products and people on a regular basis.
Data Engineering Manager, Analytics Responsibilities
Drive the mission and strategy for Business Intelligence and Data Warehousing across a product vertical
Build and lead a high-quality BI and Data Warehousing team, designing it to scale
Develop cross-functional relationships with stakeholders to understand data needs and deliver on those needs
Manage data warehouse plans, drive data quality, and ensure operational efficiency
Design, build, and launch new data models and pipelines in production
Deliver high-impact dashboards and data visualizations
Define and manage Service Level Agreements for all data sets and processes running in production
Demonstrated operational skills to drive efficiency and speed

KLA is a global leader in diversified electronics for the semiconductor manufacturing ecosystem. Virtually every electronic device in the world is produced using our technologies. No laptop, smartphone, wearable device, voice-controlled gadget, flexible screen, VR device or smart car would have made it into your hands without us. KLA invents systems and solutions for the manufacturing of wafers and reticles, integrated circuits, packaging, printed circuit boards and flat panel displays. The innovative ideas and devices that are advancing humanity all begin with inspiration, research and development. KLA focuses more than average on innovation and we invest 15% of sales back into R&D. Our expert teams of physicists, engineers, data scientists and problem-solvers work together with the worlds leading technology providers to accelerate the delivery of tomorrows electronic devices. Life here is exciting and our teams thrive on tackling really hard problems. There is never a dull moment with us.
Group/Division

The Information Technology (IT) group at KLA is involved in every aspect of the global business. ITs mission is to enable business growth and productivity by connecting people, process, and technology. It focuses not only on enhancing the technology that enables our business to thrive but also on how employees use and are empowered by technology. This integrated approach to customer service, creativity and technological excellence enables employee productivity, business analytics, and process excellence.
Job Description/Preferred Qualifications

Role Overview

We are looking for a proactive and experienced ServiceNow Developer to join our ServiceNow team.

In this role, you will be responsible for developing and maintaining ServiceNow applications and workflows that support a wide range of internal services, including IT operations, facilities, and HR.

You will play a key role in enhancing our automation capabilities and ensuring seamless service delivery across the organization.

Key Responsibilities

Develop and customize ServiceNow applications, modules, and workflows (e.g., Incident, Change, Problem, Service Catalog, CMDB).
Build and maintain business rules, client scripts, UI policies, and integrations using REST/SOAP APIs.
Collaborate with stakeholders to gather requirements and translate them into scalable ServiceNow solutions.
Support platform upgrades and perform testing in QA environments.
Integrate ServiceNow with third-party tools (e.g., Nuvolo, Systrack, Bomgar).
Contribute to roadmap planning and implementation of new features like Virtual Agent and Next UI Experience.
Ensure compliance with security, performance, and data governance standards.

Proactively acts as the voice of the customer/partner and internal communities leveraging relevant insights from feedback tools and systems. Proactively identifies and/or translates customer/partner problems into industry solutions. Drives self and guides other team members to focus on customer/partner experience through efficient delivery and ensuring a seamless and connected customer experience. Anticipates, identifies, escalates, and mitigates blockers using appropriate tools. Delivers solutions in line with company methodologies, ensuring proven practices and patterns are followed. Proactively identifies and anticipates new cross-solution opportunities for Consumption, Usage & Unified expansion at scale. Operates according to required operational excellence and proven practice standards throughout all sales stages/activities/tools of record. Leverages market insights and demand signals. Leads, mentors, and may assemble virtual teams using knowledge of Microsoft architectures and their context in the competitive landscape. Proactively identifies and anticipates gaps that enable solutions to scale across customers.
Business Impact

Delivers solutions in line with company methodologies (e.g., product offerings such as value-based deliverables [VBDs], advice, training, technical validation), ensuring proven practices and patterns are followed to prepare complex customers for operational readiness and achievement of their business goals and targets. Leveraging knowledge of change management proven practices and/or involving the change management team, proactively helps the customer deploy for long-term organizational adoption to increase customer satisfaction and drive consumption/usage. Guides complex customers/partners towards a well-architected (e.g., secure, resilient, artificial intelligence [AI]-enabled), and cost- and performance-optimized solution to increase retention and expansion opportunities. Articulates the value of Unified and supports sellers, partnering with account teams to build consumption plans aligned with appropriate services. Provides feedback to Unified Delivery Team on VBDs to refine and further develop content.

Recruit top talented developers to our group.
Mentor and advise the team in code review, pair-programming and more.
See the big picture of group tasks in order to make the best decisions about priorities.
Share knowledge between your team and other teams in the group.
Discover the technical debt & challenges and assist in solving them.
Interact with stakeholders outside of the group.
Work as a part of the team in hands-on development.

Work on cutting-edge technologies and become an industry leader.
Improve your skills and learn from top-notch engineers.
Tackle tough problems and find creative ways to solve them.
Push your code to millions of users every day.
Solve hard problems in a simple way using TDD and clean code.
Influence the developer community.
Contribute to the OSS community.

Develop and take ownership of a unified definition that captures user intent for all sites across all editors.

Provide technical leadership to teammates through coaching and mentorship

Maintain architecture which remains performant in extreme cases.

Maintain high standards of software quality by establishing good practices and habits

Collaborate with various stakeholders to plan, design, develop, test, and maintain extraordinary features.

Build our new cutting-edge mobile product and play a key role in launching it to users
Work in a start-up-like environment and engage with a range of frameworks including React, React Native and Node.js
Develop cross platform features that run on iOS, Android and Web
Collaborate closely with product managers and UX designers to develop new features

Coordinate with development teams to fix bugs and improve usability

Help analyze and solve complicated support tickets and production incidents

Manage and execute manual tests

Keep up with the pace of a high-speed development process, and execute and adjust your test plans accordingly

Measure and monitor production quality and push the development teams to fix the prioritized bugs

Think like a Wix mobile user and ensure all scenarios are covered, manually and automatically

This is a part-time student position, and youll be expected to work at least 3 days a week, 80 hours a month. Were flexible during exam periods.

As a Team Lead in the Wix Services team, youll be responsible for leading a team of developers, driving technical decisions, and ensuring the successful delivery of high-quality software solutions. In your day-to-day, youll:

Lead and mentor a team of talented engineers
Collaborate with product managers, designers, and other stakeholders to define and prioritize project requirements
Supervise the development and implementation of scalable, high-performance software solutions
Ensure that code quality, performance, and security standards are met, while identify and addressing any technical challenges and bottlenecks
Continuously improve development processes and your teams performance