לוח משרות דרושים, לחיפוש זה נמצאו 34,323 משרות

We are looking for a Senior Data Scientist / Applied AI Researcher with deep expertise in NLP and LLM-based systems, and the ability to operate across the full lifecycle, from problem formulation and research design to production deployment and real-world iteration.
You wont be working on isolated experiments. Youll be part of a multidisciplinary team that owns the system end-to-end and is responsible for how it behaves under real production traffic.
This role requires strong scientific discipline and the maturity to balance innovation with practical constraints.
What youll do:
End-to-End Ownership: Lead AI security solutions from problem formulation and research design through model development, evaluation, and production deployment. Ensure solutions are measurable, reliable, and effective under real-world traffic.
Drive Technical Direction: Take responsibility for ambiguous AI security problems, propose thoughtful approaches, and drive structured experimentation and deep model analysis.
Build for Scale: Design systems that are not only accurate, but scalable, efficient, and robust.
Staying Updated: Continuously explore advances in NLP and LLM-based systems, and critically assess what is worth integrating into a production environment.

We are looking for a hands-on AI Platform Team Lead to build and lead the team behind this platform: a high-throughput, low-latency engine that runs GPU-based models, from MMBERT-style models to LLMs, together with CPU-based heuristics and security logic.
This is a core infrastructure role for someone who wants to own the runtime layer of AI security at scale: performance, reliability, orchestration, GPU efficiency, and production-grade execution in the traffic path.
The team will also own the model lifecycle required to take AI security algorithms from research to large-scale production, working closely with research and algorithm teams.
Responsibilities:
Build and lead our AI Platform team: hiring, mentoring, architecture, technical direction, and execution.
Own the AI security runtime platform for high-throughput, low-latency inline security decisions across our global cloud and PoPs.
Design the orchestration layer for running GPU models, CPU heuristics, and security logic as one production engine.
Own production readiness: observability, SLOs, autoscaling, reliability, rollout, rollback, and operational health.
Own the model lifecycle platform: registry, versioning, deployment, monitoring, and safe production rollout.
Work closely with research and algorithm teams to productionize AI security models and algorithms at scale.
Define the long-term platform strategy for AI runtime and model serving.

our mission is to make the pursuit of creative hobbies simple and fun for all. our top-grossing apps put us on the fast track to building the world's largest consumer subscription service for creative learning. with over a million monthly downloads and hundreds of thousands of daily learners, we're building the ai creative companion for every home.
what data leads do here:
we are looking for a data lead to own end-to-end data -driven business and product analysis. the product data lead impacts all data aspects of the product teams ( data modeling, analytics, tests, visualization, data engineering, ml), influencing critical product decisions.
who you are:
you have product understanding and orientation
you thrive in ambiguity
you turn unstructured reality into actionable models
you are excited when learning something new and applying it
an amazing people-person and team player
you do not shy away from accountability

We're looking for a hands-on Agentic AI Engineer to build practical, high-impact AI solutions for our Product Support organization.
This is not a research role. You'll design and ship real AI systems that improve support workflows and processes - building custom solutions where off-the-shelf tools fall short. The role also requires close collaboration across teams: aligning with different stakeholders' needs and priorities, and building strong, ongoing partnerships across the organization.
Responsibilities:
Partner directly with business teams to identify automation and optimization opportunities
Design and implement agent-based AI workflows to automate internal processes end-to-end
Design and build LLM-powered tools (agents, workflows, copilots) using frameworks like LangGraph / LangChain
Develop RAG pipelines, integrate multiple data sources, and build intelligent automation flows
Deep-dive into company data - validate quality, uncover gaps, and ensure AI solutions are built on solid foundations
Take solutions from idea → prototype → production
Governance, Reliability & Security
Ensure AI workflows comply with security, privacy, and compliance requirements
Implement guardrails, approvals, logging, and human-in-the-loop mechanisms where needed
Monitor AI performance, errors, hallucinations, and drift
Collaboration & Enablement:
Partner with business owners to identify automation opportunities
Translate business requirements into AI-driven solutions
Document AI flows, decision logic, and operational runbooks
Educate internal teams on AI capabilities and limitations.

our mission is to make the pursuit of creative hobbies simple and fun for all. our top-grossing apps put us on the fast track to building the world's largest consumer subscription service for creative learning. with over a million monthly downloads and hundreds of thousands of daily learners, we're building the ai creative companion for every home.
what senior software engineers do here:
in this key engineering role in one of our multidisciplinary product teams, you will take end-to-end ownership of the engineering discipline and tasks that will bring the most impact and joy to millions of learners. all this while quickly learning and adapting to do whatever it takes to solve the unsolvable.

our mission is to make the pursuit of creative hobbies simple and fun for all. our top-grossing apps put us on the fast track to building the world's largest consumer subscription service for creative learning. with over a million monthly downloads and hundreds of thousands of daily learners, we're building the ai creative companion for every home.
we're looking for a head of organic to build our organic strategy to reach hundreds of millions of children every month. you'll develop the strategy and build the scalable, repeatable content engines to make that ambition a reality: identifying viral concepts, establishing efficient production workflows, and reducing our dependency on paid acquisition.
what youll own
build and lead the organic growth strategy.
scale existing channels & identify new opportunities
support and maintain the full production pipeline scaling from a small team to a larger repeatable system.
track and optimize performance
run industry and competitor analyses
partner with creative, product, data, and growth to connect organic content learnings back into the app and broader growth strategy.
what were looking for
this is a new function for us. because its a ground-up effort, we are looking for someone who is a strategic thinker and planner, but also happy to be hands-on and will do what it takes to get the job done.
ability to motivate and activate people in order to reach shared goals.
communicate and represent the organic effort on a company level.
be impact driven, act boldly to consistently move the needle.
strong creative-growth instincts: you know how to move from this performed well to this is the repeatable mechanism.
analytical comfort with imperfect social metrics and changing platform behavior.
comfort building systems from scratch: identify needs and opportunities, ideate solutions, justify and communicate decisions and plans.
strong business orientation

our mission is to make the pursuit of creative hobbies simple and fun. our top-grossing apps put us on the fast track to building the worlds largest global consumer subscription service thats revolutionizing how we spend our time at home. with over a million monthly downloads and hundreds of thousands of daily learners around the world, were redefining creative learning at scale.
what senior ai research engineers do here:
senior ai research engineers on our team develop algorithmic solutions that power new innovative features and continuously improve existing ones, with a strong emphasis on training ai / ml models as a core part of the role. the work spans a wide range of domains - from training generative ai and llm-based models to create musical content at scale, through building deep learning computer vision models that enhance user drawings, to developing Real-Time audio ml models for music transcription that elevate feedback.
you will take full end-to-end ownership of cutting-edge algorithms and ai models - leading the process from ideation and research, through development, to production-grade implementation and engineering within our products. this includes not only designing and building ai models, but also ensuring robust, efficient, and scalable integration into the app - directly shaping the experience of millions of users.

our mission is to make the pursuit of creative hobbies simple and fun for all. our top-grossing apps put us on the fast track to building the world's largest consumer subscription service for creative learning. with over a million monthly downloads and hundreds of thousands of daily learners, we're building the ai creative companion for every home.
what will you do:
lead end-to-end strategic growth processes with a primary focus on acquiring new learners for our new efforts and products.
define key performance indicator (kpi) metrics and derive actionable insights through data analysis and research.
manage and execute large-scale campaigns across various online advertising platforms.
develop an analytical approach to influence strategic decision-making, leveraging data analysis, forecasting models, and measurement metrics.
lead the development and execution of a holistic growth strategy encompassing various user traffic streams.
collaborate cross-functionally with marketing, engineering, and design teams to implement and optimize growth strategies.
analyze user behavior data, monitor market trends, and assess the competitive landscape to identify growth opportunities and revenue-generation strategies.
establish an end-to-end experimentation process, including hypothesis formulation, TEST design, kpi selection, TEST execution, results measurement, and recommendations.