דרושים Meta

What you'll be doing
Design Data-Native Cloud Solutions - Design and implement scalable data infrastructure across multiple environments using Kubernetes, orchestration platforms, and IaC to power our AI, ML, and analytics ecosystem
Define DataOps Technical Strategy - Shape the technical vision and roadmap for our data infrastructure capabilities, aligning DevOps, Data Engineering, and ML teams around common patterns and practices
Accelerate Data Engineer Experience - Spearhead improvements to data pipeline deployment, monitoring tools, and self-service capabilities that empower data teams to deliver insights faster with higher reliability
Engineer Robust Data Platforms - Build and optimize infrastructure that supports diverse data workloads from real-time streaming to batch processing, ensuring performance and cost-effectiveness for critical analytics systems
Drive DataOps Excellence - Collaborate with engineering leaders across data teams, champion modern infrastructure practices, and mentor team members to elevate how we build, deploy, and operate data systems at scale

As part of our team, you'll collaborate with software engineers, program managers, security researchers, and data science experts to develop solutions that protect, detect, and respond to evolving cybersecurity threats. We value diversity and believe that different experiences and perspectives make our team stronger.  

If you're passionate about cyber defense and eager to make a significant impact on global security, love working with data, and want to make the world a safer place, come join us! 



Responsibilities


As a Software Engineer you will:

contribute to business-critical initiatives in Microsoft Security
Requiring deep technical skills and the ability to quickly adapt to new areas.
Will improve the end-to-end lifecycle of services
Analyze complex system behavior, and apply modern engineering practices to streamline deployments and reduce costs.
Your role involves working on high-end technologies and collaborating across disciplines to deliver impactful features.
You will also collaborate with multiple teams across Microsoft to deliver key customer solutions and support technology.

Unity iAds is looking for a hands-on data infrastructure and platform engineer with proven leadership skills to lead and evolve our self-service data platform that powers petabyte-scale batch and streaming, near-real-time analytics, experimentation, and the feature platform. Youll guide an already excellent team of senior engineers, own reliability and cost efficiency, and be the focal point for pivotal, company-wide data initiatives- feature platform, lakehouse, and streaming.
Own the lakehouse backbone: Mature Iceberg at high scalepartitioning, compaction, retention, metadataand extend our IcebergManager in-house product to automate the lakehouse management in a self serve fashion.

Unify online/offline for features: Drive Flink adoption and patterns that keep features consistent and low-latency for experimentation and production.

Make self-serve real: Build golden paths, templates, and guardrails so product/analytics/DS engineers can move fast safely.

Run multi-tenant compute efficiently: EMR on EKS powered by Karpenter on Spot instances; right-size Trino/Spark/Druid for performance and cost.

Cross-cloud interoperability: BigQuery + BigLake/Iceberg interop where it makes sense (analytics, experimentation, partnership).

What you'll be doing
Leading a senior Data Platform team: setting clear objectives, unblocking execution, and raising the engineering bar.
Owning SLOs, on-call, incident response, and postmortems for core data services.
Designing and operating EMR on EKS capacity profiles, autoscaling policies, and multi-tenant isolation.
Tuning Trino (memory/spill, CBO, catalogs), Spark/Structured Streaming jobs, and Druid ingestion/compaction for sub-second analytics.
Extending Flink patterns for the feature platform (state backends, checkpointing, watermarks, backfills).
Driving FinOps work: CUR-based attribution, S3 Inventory-driven retention/compaction, Reservations/Savings Plans strategy, OpenCost visibility.
Partnering with product engineering, analytics, and data science & ML engineers on roadmap, schema evolution, and data product SLAs.
Leveling up observability (Prometheus/VictoriaMetrics/Grafana), data quality checks, and platform self-service tooling.

SuperSonic is hiring a Staff Data AI Lead to lead our AI initiatives.As a Staff Data AI Lead you will be responsible for leading SuperSonic organization AI integration efforts and serving as the bridge between advanced AI technologies and our business needs, implementing cutting-edge Data & AI technologies, creating AI-driven strategies and integrating innovative AI solutions across multiple platforms.
What you'll be doing
Develop and execute AI strategies aligned with business objectives
Advise leadership on AI capabilities and potential applications
Guide teams in adopting AI tools and methodologies
Ensure ethical and efficient implementation of AI technologies
Design and oversee AI-driven process improvements
Collaborate with various departments to identify AI opportunities
Stay current with the latest AI trends and advancements
Conduct AI-related training and workshops for staff
Manage AI projects from conception to implementation
Evaluate and recommend AI tools and platforms
Leading a team of AI engineers

We are seeking a Senior Applied Scientist to contribute to the ongoing development of Microsoft 365 Copilot in Excel, with an emphasis on optimizing LLM and Agentic workflows. This position is part of the Microsoft 365 Excel team, dedicated to pioneering advancements in generative AI. The successful candidate will possess substantial expertise in large language models (LLMs), information retrieval, and machine learning. Responsibilities include close collaboration with engineering and product teams to innovate, design, and assess comprehensive AI solutions for millions of enterprise users. This role will influence technical direction, inform product development, and foster cross-team collaboration to deliver impactful AI-driven experiences that empower users to achieve more.



Responsibilities

Youll work as part of an Applied Science team on high-impact, technically ambitious AI projects that directly shape the future of Microsoft 365 Copilot in Excel including

You will design, fine-tune, and deliver models and agentic flows for integration with Excel Agent and on-canvas experiences.
You will leverage state-of-the-art LLM fine-tuning and retrieval methods, with robust evaluation metrics and A/B testing to ensure data-driven progress.
You will gather and curate relevant benchmarks, build a comprehensive evaluation framework, and develop GPT-based evaluators (LLM-as-a-Judge). Run controlled experiments to compare performance, efficiency, and scalability using data-driven metrics and A/B testing focusing on reproducible and impactful results.
You will continuously study emerging literature, share insights with leadership and peers during research reviews and deep dives adapt quickly to new findings, and integrate them into experiments and when applicable share with broader research community.

If you are a talented Applied Scientist with strong technical skills, a passion for turning data and research into real-world impact, and the ambition to design, experiment, and ship innovative ML and AI solutions, we would love to talk to you!

In our team, you will:

Develop ML models to detect and disrupt cyberattacks.

Collaborate with security experts to incorporate domain knowledge into ML solutions.

Work with truly large-scale data to create and refine high-quality training datasets.

Deploy ML models into production, monitor their performance, and continuously improve them.

Stay up to date with the latest advancements in ML/AI and apply them to complex cybersecurity challenges.

We are seeking a motivated Software Developer to join our Agent Team. This role is crucial in building and maintaining features that span from user endpoints across multiple platforms to cloud services. If you have a passion for technology, strong collaboration skills, and a drive for results, we want to hear from you.



Responsibilities

Develop and maintain features end-to-end, from user endpoints on various platforms to cloud services.

Collaborate with cross-functional teams to design, implement, and test new features.

Troubleshoot and debug complex technical issues across different environments.

Continuously learn and apply new technologies to improve our products.

Contribute to code reviews and maintain high standards of code quality.