Genies jobs

Senior Modeler (contractor) Genies LA, Los Angeles, California, U.S., Remote Genies is an AI avatar technology company powering the visual and embodiment layer for AI. Through the Genies SDK, their proprietary avatar framework brings AI to life as fully realized AI personas that look, think, behave, and play like living identities. Genies powers AI companion, NPC, and agent use cases across enterprise, consumer, creator, entertainment, and gaming. Genies has raised $200M from Silver Lake, BOND, and Bob Iger. Genies is built on the belief that every website, app, game, brand, and human will have an AI persona. Genies' avatars are the visual identity of the next internet. This contract role sits at the center of that: you'll own the quality and technical integrity of 3D character and prop assets that ship into our real-time avatar platform, used by millions. What you'll own: - End-to-end production of avatar-ready 3D assets - from concept interpretation through high-poly sculpt, optimized lowpoly modeling, and texturing - that meet our technical budgets and raise our visual bar. - Pipeline fluency: you know when to use traditional tools and when to reach for AI-assisted workflows (generative model, textures, and mesh optimization, AI retopo) to move faster without sacrificing craft. - Collaboration with Art Directors and Engineers to ensure assets behave correctly inside our Avatar Framework - not just look good in isolation. What you bring: - A portfolio of real-time character work that demonstrates and understands both technical discipline (clean topology, correct UVs, optimized textures) and

Technical Artist: Avatar Systems Genies LA, Los Angeles, California, U.S., Genies San Francisco Genies is an AI avatar technology company powering the visual and embodiment layer for AI. Through the Genies SDK, their proprietary avatar framework brings AI to life as fully realized AI personas that look, think, behave, and play like living identities. Genies powers AI companion, NPC, and agent use cases across enterprise, consumer, creator, entertainment, and gaming. Genies has raised $200M from Silver Lake, BOND, and Bob Iger. Genies is built on the belief that every website, app, game, brand, and human will have an AI persona. Genies is seeking a Technical Artist: Avatar Systems to help build the next generation of avatar creation tools. This role blends deep expertise in character rigging, geometry processing, and real-time pipelines with experience in AI-assisted workflows. You'll advance the development of modular avatar systems and scalable pipelines that enable highly customizable, production-ready avatars across platforms, working at the intersection of art, engineering, and machine learning. What You'll Be Doing: - Design, build, and extend avatar systems using modular components, automated rigging, and AI-assisted workflows - Develop and scale cloud-based rigging and deformation systems for interoperable avatars and assets - Apply procedural and machine learning techniques to solve complex problems in asset creation, processing, and customization - Integrate generative AI into internal and public-facing 3D content pipelines - Partner with ML engineering, art, and product to prototype and ship tools and workflows across mobile, browser, and game engine environments - Define

Senior Machine Learning Engineer, Animation Integration Genies LA, Los Angeles, California, U.S., Genies San Francisco Genies is an AI avatar technology company powering the visual and embodiment layer for AI. Through the Genies SDK, their proprietary avatar framework brings AI to life as fully realized AI personas that look, think, behave, and play like living identities. Genies powers AI companion, NPC, and agent use cases across enterprise, consumer, creator, entertainment, and gaming. Genies has raised $200M from Silver Lake, BOND, and Bob Iger. Genies is built on the belief that every website, app, game, brand, and human will have an AI persona. Genies is looking for a Senior Machine Learning Engineer to join our Avatar Technology team, focused on building the next generation of AI-driven animation systems. This role is focused on integrating machine learning systems into production animation pipelines and realtime environments, while also owning the applied ML work required to make these systems effective in practice. You will work across data, modeling, and runtime systems to ensure ML-driven animation performs reliably and at high quality in production. What You'll Be Doing: - Integrate machine learning models into realtime animation systems across mobile and web environments. - Develop systems that translate inputs such as audio, text, and intent into responsive avatar motion in production. - Work with generative models (e.g., diffusion, transformer-based systems) and adapt them for specific use cases such as facial animation, gesture generation, and character behavior. - Collect, process, and manage animation datasets (mocap, facial capture,

Senior Machine Learning Engineer, AI Agent Genies San Francisco, San Francisco, California, U.S, Genies LA Genies is an AI avatar technology company powering the visual and embodiment layer for AI. Through the Genies SDK, their proprietary avatar framework brings AI to life as fully realized AI personas that look, think, behave, and play like living identities. Genies powers AI companion, NPC, and agent use cases across enterprise, consumer, creator, entertainment, and gaming. Genies has raised $200M from Silver Lake, BOND, and Bob Iger. Genies is built on the belief that every website, app, game, brand, and human will have an AI persona. About the Role: We are seeking a highly motivated and passionate Senior Machine Learning Engineer to join our core AI team in San Francisco, CA. This is a high-impact role where you will take end-to-end ownership of the research and development behind our core AI avatar chat systems. You will drive the technical roadmap that defines the intelligence, personality, and interactivity of millions of AI avatars. By tackling fundamental technical challenges, you will bring fun, autonomous, and inspiring AI companions to life. Working alongside a dedicated team of engineers and researchers, you will bridge the gap between cutting-edge AI research and real-world, consumer-facing product impact. What You'll Be Doing: - Research and implement state-of-the-art solutions using foundation models, prompt engineering, RAG, knowledge graphs, and multi-agent architectures, alongside classical machine learning techniques for a multi-modal AI chat product. - Architect, implement, and deliver scalable AI features and agentic systems

Lead Full Stack Engineer Genies LA, Los Angeles, California, U.S. Genies is an AI avatar technology company powering the visual and embodiment layer for AI. Through the Genies SDK, their proprietary avatar framework brings AI to life as fully realized AI personas that look, think, behave, and play like living identities. Genies powers AI companion, NPC, and agent use cases across enterprise, consumer, creator, entertainment, and gaming. Genies has raised $200M from Silver Lake, BOND, and Bob Iger. Genies is built on the belief that every website, app, game, brand, and human will have an AI persona. Overview Genies is seeking a contract Lead Full Stack Engineer to guide the technical direction, architecture, and execution of our avatar-driven digital products. You'll be a player-coach - leading by example as a hands-on contributor while mentoring a team of talented engineers. Reporting directly to the Director of Software Engineering and Infrastructure, you'll drive technical excellence, champion engineering best practices, and ensure scalable, performant solutions across the stack. This is a high-impact role for an engineer who thrives on mentorship, system design, and building cohesive teams that ship complex, user-facing systems at the intersection of AI, game technology, and UGC creation tools. We move fast at Genies, and we expect our lead engineers to move fast with us - leveraging AI as a force multiplier while holding the bar on quality, clarity, and correctness. What You'll Be Doing Technical Leadership - Define and own the architectural vision and implementation strategy for full-stack systems

Machine Learning Engineer, AI Agent (contract) Remote Genies is an AI avatar technology company powering the visual and embodiment layer for AI. Through the Genies SDK, their proprietary avatar framework brings AI to life as fully realized AI personas that look, think, behave, and play like living identities. Genies powers AI companion, NPC, and agent use cases across enterprise, consumer, creator, entertainment, and gaming. Genies has raised $200M from Silver Lake, BOND, and Bob Iger. Genies is built on the belief that every website, app, game, brand, and human will have an AI persona. We are seeking a highly motivated and passionate Machine Learning Engineer to join our core AI team in San Francisco, CA. This is a high-impact role where you will take end-to-end ownership of the research and development behind our core AI avatar chat systems. You will drive the technical roadmap that defines the intelligence, personality, and interactivity of millions of AI avatars. By tackling fundamental technical challenges, you will bring fun, autonomous, and inspiring AI companions to life. Working alongside a dedicated team of engineers and researchers, you will bridge the gap between cutting-edge AI research and real-world, consumer-facing product impact. What You'll Do ▸ Research and implement state-of-the-art AI solutions. You'll apply foundation models, prompt engineering, RAG, knowledge graphs, and multi-agent architectures - alongside classical ML techniques - to power a multimodal AI avatar product. ▸ Architect and deliver scalable agentic systems. You'll design and implement AI features within our backend, building agent infrastructure that

Technicien de maintenance escaliers (H/F) 2 CHE DU GENIE, VENISSIEUX - GENIE, 69200, France posted: Posted 30+ Days Ago

Databricks Data Engineer Manassas, VA, US Company Details We started in early 2019 as a small group of technologists with a passion for making insurance better. Today we are working with a team of industry experts who run five different insurance brands and collectively control $1 billion in annual premiums. We believe in an idea and execution meritocracy. In other words, a place where the best ideas win and the people who deliver the most value get the most opportunities. As we grow our team, we are looking for inquisitive, entrepreneurial people who are excited to reimagine the insurance industry. Insurance is too complex. Help us make it better. Responsibilities This position requires on-site work Monday-Thursday at either our Manassas, VA or Chesterfield, MO location. The Databricks Data Engineer will help design, build, deploy, and maintain scalable and production grade data pipelines in modern cloud environments, enabling analytics, AI, ML, and decision advantage at scale. This role will work with cutting-edge tools like Databricks, Delta Lake, PySpark, and AI/BI genie to transform raw data into actionable insights. As a hands-on Databricks Data Engineer with deep expertise in Azure Databricks and MLOps, this role will have the opportunity to migrate and translate legacy SSIS ETL logic into scalable, cloud-native data pipelines in Databricks. This role will partner with data engineers, data scientists, and product manager to design features, train/evaluate models, and deploy them to production using MLflow, Dat

Strategic AI/BI Account Executive Remote - New York SLSQ327R187 Candidates in the below location are required - Remote - NYC Databricks is seeking a Genie + AI/BI Sales Specialist to help enterprise customers transform how business users interact with data. This high-impact role sits within the AI Go-To-Market team and partners closely with Enterprise Account Executives to drive adoption of Databricks AI/BI and Genie. You will help organizations move beyond static dashboards to governed, conversational, AI-powered analytics at the center of the convergence of business intelligence, data platforms, and generative AI. Enterprise analytics is rapidly evolving from dashboards and static reporting to conversational, AI-driven decision platforms. Databricks AI/BI and Genie empower business users to securely interact with governed data using natural language, transforming the data platform into a true decision platform. If you want to be at the forefront of AI-powered analytics transformation at one of the fastest-growing data and AI companies in the world, this is your opportunity. The impact you will have: - Partner with Enterprise AEs to identify, qualify, and close AI/BI opportunities - Engage C-level, analytics, and line-of-business leaders to modernize analytics strategies - Displace or expand legacy BI platforms with AI-powered, governed analytics solutions - Lead conversations around semantic governance, self-service analytics, and natural language data access - Drive proof-of-value engagements and scale enterprise-wide adoption - Align AI/BI initiatives to measurable business outcomes (productivity, speed to insight, revenue impact) - Enable field teams and serve as a subject matter expert on modern analytics architectures What

Engineering Manager - Pipelines Engine Mountain View, California; San Francisco, California P-1110 At Databricks, we are passionate about enabling data teams to solve the world's toughest problems - from making the next mode of transportation a reality to accelerating the development of medical breakthroughs. We do this by building and running the world's best data and AI infrastructure platform so our customers can use deep data insights to improve their business. We are the Lakeflow Engineering team, responsible for Databricks ETL product line: Jobs , Spark Declarative Pipelines , and Genie Code for Data Engineering . We run one of the world's biggest (if not the biggest) data engineering platforms - responsible for processing exabytes of data daily for tens of thousands of customers. We're seeking a dedicated Engineering Leader to spearhead the Pipelines Engine engineering team. The team is responsible for building next generation Runtime ETL features and ensuring that Lakeflow Pipelines has state of art performance for ETL workloads. You will also spearhead the Agentic Data Engineering infrastructure, by building the next generation engine to power agentic pipeline authoring, execution and maintenance. The main responsibilities include: - You will lead an engineering team building the next-generation ETL features for the Databricks Lakeflow platform. - You will oversee sustained recruitment of top-tier talent, and upskilling talent on the team. - You will build processes to implement product vision and strategy, according to organizational goals and priorities. - You will build software that is not just high quality but easy

Manager, Engineering - AI/BI Vancouver, Canada RDQ226R533 At Databricks, we are passionate about helping data teams solve the world's toughest problems - from making the next mode of transportation a reality to accelerating the development of medical breakthroughs. We do this by building and running the world's best data and AI infrastructure platform so our customers can use deep data insights to improve their business. Founded by engineers - and customer obsessed - we leap at every opportunity to solve technical challenges, from designing next-gen UI/UX for interfacing with data to scaling our services and infrastructure across millions of virtual machines. And we're only getting started. We are the “AI/BI” team responsible for making Databricks the best product for business users to create, find and consume data insights. We work on 4 key pillars Dashboards, Genie, Databricks One and Unity Catalog Business semantics. UC Business semantics allow users to define business metrics and agent metadata in centrally governed systems for trusted access. Databricks One offers users a simplified experience tailored for non technical users to find and consume data insights. Genie lets users talk to their data with state of the art text-to-SQL and Dashboards lets users run their day to day business. We're seeking a dedicated Engineering Leader who will help grow the Data visualization and UC Business Semantics teams.These teams will be tackling a number of challenging fullstack problem spaces, including: making visualizations easy to consume, enabling dashboards to be highly interactive, creating compelling augmented analytics experiences, providing

Staff Machine Learning Engineer San Francisco, California P-1504 The Applied AI team at Databricks sits at the forefront of advancing GenAI-powered products. Over the past years, we've launched Databricks Assistant , AI/BI Genie , and Agent Bricks working with product teams, and made significant strides in LLM quality for these products. These products are used by 100s of thousands of Databricks users every day. We are tackling challenging problems like code suggestion, error detection and correction, text-to-sql generation, automatic pipeline generation, knowledge QA and many others. As our GenAI products continue to evolve, we are seeking multiple GenAI Engineers from junior levels to more senior levels to drive the next phase of development. In 2025, we will focus on enhancing LLM quality, expanding GenAI capabilities across Databricks products, and strengthening our platform architecture to enable seamless AI interactions at scale. Key Responsibilities - Shape the direction of our applied AI areas and intelligence features in our products . Drive the development and deployment of state-of-the-art AI models and systems that directly impact the capabilities and performance of Databricks' products and services (e.g., Databricks Assistant and AI/BI Genie). - Develop novel data collection, fine-tuning, and LLM technologies that achieve optimal performance on specific tasks and domains. - Design and implement ML pipelines for data preprocessing, feature engineering, model training, hyperparameter tuning, and model evaluation, enabling rapid experimentation and iteration. - Work closely with cross-functional teams, including AI researchers, ML engineers, and product teams, to deliver impactful AI solutions that enhance user

Staff Software Engineer - Agent Quality New York City, New York Staff Software Engineer - Agent Quality P-1215 At Databricks, we are obsessed with enabling data teams to solve the world's toughest problems, from security threat detection to cancer drug development. We do this by building and running the world's best data and AI platform so our customers can focus on the high-value challenges that are central to their own missions. The Databricks AI Research organization is pushing the frontier of next-generation enterprise AI. We believe a company's data is its greatest competitive advantage, and we're building the models and agents that unlock it. Our work spans the full stack, from model training to advanced multi-agent systems. As a Staff Software Engineer - Agent Quality, you will be a founding member of a new team focused on evaluating and continuously improving Databricks' AI Agents. You will design and scale the infrastructure, tooling, and developer workflows that let researchers and engineers evaluate agents rigorously - driving a flywheel where evaluation results feed directly back into agent improvement across the full lifecycle, from development and training to production. The impact you will have - Stand up the foundational evaluation infrastructure for Genie Agents, enabling rigorous benchmarking, regression detection, and quality measurement across research and product teams. - Build the flywheel that connects evaluation results back into agent improvement - closing the loop between production signals, training, and iterative development. - Shape the long-term technical direction for agent quality infrastructure, with real influence

Director, Fleet AI Engineering Atlanta, GA, United States A Day in the Life: The Director, Fleet AI Engineering will define, build, and scale AI/ML solutions that drive significant business impact. You'll serve as a hands-on technical leader (player/coach), operating as a key individual contributor while leading a small team and partnering closely across product, data science, and engineering. This role requires strong technical understanding of modern AI systems (including how to debug and validate them) and a bias toward leveraging AI-assisted development workflows to accelerate delivery-especially for simulation-based optimization and real-time decisioning problems. The preferred candidate will sit at our corporate office in Atlanta, however, we are open to candidates located outside of the area to work remotely. The target starting rate is $130K; actual salary will be determined based on experience. What You'll Do: Solution Delivery: Own the end-to-end ML system lifecycle-from problem framing and offline evaluation to production deployment with observability, drift monitoring, controlled rollouts, and iteration based on real-world performance. Simulation-Based Decisioning: Develop simulation environments to train and evaluate sequential decision-making methods (including reinforcement learning where appropriate), focusing on simulator fidelity, reward design, offline/online evaluation, and safe real-time deployment. AI-Native Engineering: Build an AI-assisted development workflow (prompting and code-review standards, automated testing, documentation) and drive adoption across the team (e.g., Claude Code, Cursor, GitHub Copilot, Databricks Genie). Architectural Guidance: Design and scale production AI systems (data pipelines, model training/serving, feature and experiment infrastructure), balancing latency, reliability, cost, and integration into existing platforms. Cross-functional Collaboration: Translate business goals

SkillBridge Program Interest Nationwide EquipmentShare is Seeking Transitioning Active Duty Service Members to Join its SkillBridge Program EquipmentShare is seeking transitioning Active Duty service members to join its team at locations across the US. We understand that some of the best mechanics in the world have served in the United States military, so if you're looking to leverage your military training and experience to be a part of a world-class maintenance organization, EquipmentShare is your company. Since EquipmentShare is a rapidly expanding equipment rental company, you will have the chance to work on some of the newest and most advanced heavy construction equipment and power generation equipment on the market. EquipmentShare carries brands that you may be familiar with to include John Deere, JLG, Genie, Case Construction, JCB, Atlas Copco, Wacker Neuson, Generac, and many others. Don't let your military training go to waste, apply to EquipmentShare, a company that values your service, sacrifice, and attention to detail. Primary Responsibilities - Practice safe job practices for repairing equipment - Use technology (laptops and tablets) comfortably - Maintenance and repair of complex mechanical, electrical, hydraulic, and diesel systems on a variety of rental and customer equipment and tools while using a high degree of independent judgment - Assist in the training of lower level technicians as needed - Maintain paperwork/electronic documentation of work performed (work orders) in a complete and timely manner on a daily basis - Assist with pick-up and delivery of equipment & parts - Be knowledgeable of OSHA

Game Designer, Games, Inception, DeepMind London, UK DeepMind has long-established connections with gaming, whether through early AI-breakthroughs mastering Atari games or Starcraft, and more recent research with Genie and SIMA agents. We are looking for a Game Designer with a deep understanding of core systems, player psychology, and interactive storytelling to help us architect a new generation of breakthrough experiences. If you are a systems-thinker who views AI not just as technology, but as a brand-new design material, we want you on the team. Inception runs like a startup, balancing high energy idea generation with pragmatic, clear and regularly refined operations. This collaborative, multidisciplinary group is situated primarily in London and Mountain View with collaborators across the globe. It has a sizable and different portfolio of early stage, design focused projects, with a focus on breakthrough experiences that wouldn't be possible without AI. Your mission is to design core loops, mechanics, and gameplay systems that would be fundamentally impossible without AI. You will be the creative glue bridging the gap between machine learning research and player-facing fun. As a Game Designer, you will advocate a "show, don't tell" culture by translating abstract AI capabilities into tangible game prototypes. You will collaborate with cross-functional teams to define player agency, map out system dynamics, and steer creative ideation sessions that push the boundaries of modern game design. Artificial intelligence will be one of humanity's most transformative inventions. At Google DeepMind, we are a pioneering AI lab with exceptional interdisciplinary teams focused on

SkillBridge Program Tampa, FL EquipmentShare is Seeking Transitioning Active Duty Service Members to Join its SkillBridge Program EquipmentShare is seeking transitioning Active Duty service members to join its team at locations across the US. We understand that some of the best mechanics in the world have served in the United States military, so if you're looking to leverage your military training and experience to be a part of a world-class maintenance organization, EquipmentShare is your company. Since EquipmentShare is a rapidly expanding equipment rental company, you will have the chance to work on some of the newest and most advanced heavy construction equipment and power generation equipment on the market. EquipmentShare carries brands that you may be familiar with to include John Deere, JLG, Genie, Case Construction, JCB, Atlas Copco, Wacker Neuson, Generac, and many others. Don't let your military training go to waste, apply to EquipmentShare, a company that values your service, sacrifice, and attention to detail. Primary Responsibilities - Practice safe job practices for repairing equipment - Use technology (laptops and tablets) comfortably - Maintenance and repair of complex mechanical, electrical, hydraulic, and diesel systems on a variety of rental and customer equipment and tools while using a high degree of independent judgment - Assist in the training of lower level technicians as needed - Maintain paperwork/electronic documentation of work performed (work orders) in a complete and timely manner on a daily basis - Assist with pick-up and delivery of equipment & parts - Be knowledgeable of OSHA

Gameplay Programmer, Games, Inception, DeepMind London, UK Inception runs like a startup, balancing high energy idea generation with pragmatic, clear and regularly refined operations. This collaborative, multidisciplinary group is situated primarily in London and Mountain View with collaborators across the globe. It has a sizable portfolio of early stage, design focused projects, building on working processes developed internally on projects such as Astra and Genie. As a Gameplay Engineer and Prototyper in Inception, you will build interactive experiences, blurring the lines between game development and AI research. Your mission is to move beyond traditional game engineering to prove what is possible when generative models and agentic workflows become core mechanics. You will be a key bridge between research and design, moving fast to stand up 0-to-1 prototypes, crafting expert pipelines when necessary, and finding novel technical solutions to creative problems. You will work in a cross-functional environment where every project involves significant experimentation, rapid iteration, and close collaboration. Artificial intelligence will be one of humanity's most transformative inventions. At Google DeepMind, we are a pioneering AI lab with exceptional interdisciplinary teams focused on advancing AI development to solve complex global challenges and accelerate high-quality product innovation for billions of users. We use our technologies for widespread public benefit and scientific discovery, ensuring safety and ethics are always our highest priority. We are pushing the boundaries across multiple domains. Our global teams offer diverse learning opportunities and varied career pathways for those driven to achieve exceptional results through collective effort. Design

SVP, Strategic Growth New York, New York, United States By bringing together next-gen technology and the highest fidelity live data available, Genius Sports is enabling a new era of sports for fans worldwide, delivering experiences that are more immersive, interactive and personalized than ever before. Learn more at geniussports.com The Opportunity: Genius Sports ('Genius') is one of the world's largest sports technology companies. Headquartered in London, Genius is listed on the New York Stock Exchange (NYSE:GENI) and has over 2,600 employees in 18 global locations. It is completely revolutionising the way fans experience sports and is determined to find new ways to leverage the power of data harnessed from its prime position powering the sports, gaming and media ecosystem. Its technology is used in over 150 countries around the world and spans streaming, live data, AdTech, broadcast, mobile and more. Genius is breaking new ground in serving up personalised video ads, alternative game broadcasts, new sports betting market types, rich player data sets and innovative fan engagement tools. Genius has been helping sports leagues and federations drive their digital transformation for many years and will continue to deliver even more thrilling and innovative products to enhance their relationships with fans. Genius is a key partner to over 400 sports organisations globally and are privileged to be the exclusive worldwide partner of both the English Premier League (EPL) and the National Football League (NFL) as well as FIBA, NCAA, NASCAR, AFA and PGA (among others). Genius is one team, being brave,

EverCommerce - Data Engineer II 2 Locations EverCommerce - Data Engineer II - Remote, US About EverCommerce At EverCommerce [Nasdaq: EVCM], we are on a mission to digitally transform the service economy with tailored, end-to-end SaaS solutions that simplify and empower the lives of our 725,000+ customers. As a leading service commerce platform, our modern digital and mobile applications create predictable, informed, and convenient experiences between customers and their service professionals in the areas of Home & Field Services, Health Services, and Wellness industries. We are building an extraordinary company and looking for talented, energetic, and motivated people to join our team. You can learn more about our Company, Culture and Values here: https://careers.evercommerce.com/us/en Role Overview We are seeking a Data Engineer II to help design and scale our modern data platform, supporting analytics, self-service BI, real-time use cases, and AI-powered insights. You'll work closely with analytics engineers, product teams, and business stakeholders to deliver reliable, high-quality data that drives measurable business outcomes. This role is hands-on and impact-focused, ideal for someone who enjoys building Lakehouse-based platforms , enabling streaming data , and supporting AI and GenAI use cases in production. Responsibilities: Design, build, and operate scalable batch and streaming data pipelines Develop and orchestrate workflows using Apache Airflow Implement transformations and analytics-ready datasets using DBT Build and maintain real-time pipelines using Kafka Leverage Databricks for data processing, analytics, and AI enablement Support AI and GenAI use cases , including enabling high-quality data access for tools like Databricks Genie Design

Applied Scientist II, Sheriff Team- Payroll tech Hyderabad, Telangana, IND Payroll Tech's Sheriff team develops and maintains ML and Generative AI applications that support Payroll Operations and Amazon employees at scale. Our portfolio includes Pay-Input Anomaly Detection, which improves the pay experience by identifying pay input irregularities such as leaves and insurance discrepancies; Percept, which improves ticket resolution by providing intelligent ticket prioritization via sentiment scoring, ticket summarization, defect classification, and categorization; Penny, a Virtual Assistant that enables payroll operations teams to efficiently retrieve information from multiple sources including policies, Percept data, vendor data, and HR data via Xylem through a single browser interface; Pay Ticket Genie, in process of being integrated with Amazon AZA(A to Z Assistant); Niyam, our rule engine; and Policy as Code Extraction (PoCo), a critical component of SPACE (Single Payroll Autonomous and Computation Engine) Amazon's in-house payroll system built to eliminate third-party vendor dependency for payroll processing. PoCo ensures data accuracy by validating that pay instructions are correct and performing calculations when required. It consists of two components: policy-based rule creation, where business owners select a pay code and provide policy links to generate rules for specific business processes, and rule evaluation, where upstream services send real-time validation or calculation requests and receive results along with rationale for any failures. Sheriff team owns policy-based rule creation and powering the rule evaluation system with rules generated. As an Applied Scientist on the Sheriff team, you will own and advance the ML and GenAI capabilities that power