Chai Discovery jobs

Postdoctoral Fellow - Cardiometabolic Disorders (Discovery) US - California - Thousand Oaks posted: Posted 30+ Days Ago

User Support Specialist (Intelligence Data Discovery and Tradecraft) Bethesda, MD posted: Posted 30+ Days Ago

Scientist - In vivo pharmacology - Discovery Research US - California - South San Francisco posted: Posted 25 Days Ago

Sr. Data Scientist – Computational Drug Discovery Canada - Burnaby posted: Posted 23 Days Ago

Postdoctoral Fellow-Discovery Proteomics US - California - Thousand Oaks posted: Posted 3 Days Ago

Senior Scientist – Digital Discovery: AI-assisted Antibody Discovery & Data Canada - Burnaby posted: Posted 30+ Days Ago

Scientist – Digital Discovery: Automation & Intelligent Systems Canada - Burnaby posted: Posted 30+ Days Ago

Senior Scientist - Experimental Protein Design for Target Discovery US - California - South San Francisco posted: Posted 25 Days Ago

E-Discovery Senior Data Specialist Washington, DC posted: Posted 30+ Days Ago

Senior Scientist - Target Discovery & Validation – Induced Proximity Platform (IPP) Canada - Burnaby posted: Posted 23 Days Ago

Scientist – Digital Discovery: Biological Data Systems & Machine Learning Canada - Burnaby posted: Posted 30+ Days Ago

E-Discovery Project Supervisor Washington, DC posted: Posted 21 Days Ago

Principal Scientist – AI/ML Workflow & Ecosystem Lead (Large Molecule Discovery Informatics) India - Hyderabad posted: Posted 30+ Days Ago

Senior Scientist - Computational Discovery & Translational Analytics 2 Locations posted: Posted 30+ Days Ago

Applied Scientist, Amazon Search Bengaluru, Karnataka, IND At Amazon Search, we discover experience that connects millions of customers to the products they seek across our global marketplace. Our team develops sophisticated search solutions that make Amazon's vast product catalog easily accessible to customers worldwide. We're building next-generation search infrastructure that enables seamless expansion into new markets and product categories. Our mission is to ensure every customer enjoys an exceptional search experience from day one, whether they're shopping in an established market or a newly launched region. We develop intelligent, scalable systems that optimize search quality and effectiveness across Amazon's diverse product ecosystem. Our innovations help customers find exactly what they're looking for, while enabling Amazon to rapidly expand its global presence with consistent, high-quality search capabilities. We are seeking a strong applied scientists to join the Search Relevance India team. This team's charter is to increase the pace at which Amazon expands and improve the search experience at launch. In practice, we aim to invent universally applicable signals and algorithms for training machine-learned ranking models and improve the machine-learning framework for training and offline evaluation that is used for all new relevance models. Key job responsibilities * Build machine learning models for Product Search. * Develop new ranking features and techniques building upon the latest results from the academic research community. * Propose and validate hypothesis to direct our business and product road map. Work with engineers to make low latency model predictions and scale the throughput of the system.

Applied Scientist, Vertical Search Bengaluru, Karnataka, IND At Amazon Search, we discover experience that connects millions of customers to the products they seek across our global marketplace. Our team develops sophisticated search solutions that make Amazon's vast product catalog easily accessible to customers worldwide. We're building next-generation search infrastructure that enables seamless expansion into new markets and product categories. Our mission is to ensure every customer enjoys an exceptional search experience from day one, whether they're shopping in an established market or a newly launched region. We develop intelligent, scalable systems that optimize search quality and effectiveness across Amazon's diverse product ecosystem. Our innovations help customers find exactly what they're looking for, while enabling Amazon to rapidly expand its global presence with consistent, high-quality search capabilities. We are seeking a strong applied scientists to join the newly formed Relevance India team. This team's charter is to increase the pace at which Amazon expands and improve the search experience at launch. In practice, we aim to invent universally applicable signals and algorithms for training machine-learned ranking models and improve the machine-learning framework for training and offline evaluation that is used for all new relevance models. Key job responsibilities * Build machine learning models for Product Search. * Develop new ranking features and techniques building upon the latest results from the academic research community. * Propose and validate hypothesis to direct our business and product road map. Work with engineers to make low latency model predictions and scale the throughput of the

Applied Scientist II, Search Relevance International Bengaluru, Karnataka, IND The Amazon Search team creates customer-focused search and advertising solutions and technologies. Whenever a customer visits an Amazon site worldwide and types in a query or browses through product categories, Amazon Search services go to work. We design, develop, and deploy high performance, fault-tolerant distributed search systems used by millions of Amazon customers every day. Our Search Relevance team works to maximize the quality and effectiveness of the search experience for visitors to Amazon websites worldwide. Amazon has grown rapidly and will continue to do so in foreseeable future. Providing a high quality search experience is a unique challenge as Amazon expands to new customers, countries, categories, and product lines. We are seeking a strong applied scientists to join the newly formed Relevance India team. This team's charter is to increase the pace at which Amazon expands and improve the search experience at launch. In practice, we aim to invent universally applicable signals and algorithms for training machine-learned ranking models and improve the machine-learning framework for training and offline evaluation that is used for all new relevance models. Key job responsibilities Build machine learning models for Product Search. Develop new ranking features and techniques building upon the latest results from the academic research community. Propose and validate hypothesis to direct our business and product road map. Work with engineers to make low latency model predictions and scale the throughput of the system. Focus on identifying and solving customer problems with simple

Applied Scientist II, Amazon Travel & Events Bengaluru, Karnataka, IND We are looking for passionate, talented, and inventive Applied Scientists with a strong machine learning background to help build intelligent, AI-driven solutions that transform how Amazon manages travel and events at scale. As part of the Amazon Travel & Events (AT&E) Program Technology Solutions team, our mission is to provide a seamless and delightful experience for Amazon's business travellers and events programs by raising the bar in Generative AI with Large Language Models (LLMs), Natural Language Understanding (NLU), conversational AI, and Applied Machine Learning (ML). You will work alongside experienced engineers to develop and apply algorithms and modelling techniques that advance the state-of-the-art in conversational AI, intelligent automation, and data-driven decision making. You will gain hands-on experience with Amazon's heterogeneous travel data sources, including contracts, booking systems, supplier data, and event logistics-and large-scale computing resources to accelerate advances in travel and events intelligence at scale. You will also help make it easier for internal customers to use analytics to monitor and model program performance improvements. Key job responsibilities • Design, develop, and evaluate ML models leveraging GenAI, multimodal reasoning, and large-scale information retrieval to solve well-defined catalog understanding challenges such as product identity and relationship inference • Apply and adapt VLMs, foundation models, and LLM-based approaches to address product catalog problems-experimenting with fine-tuning, prompt engineering, and retrieval-augmented generation techniques • Implement model optimization techniques-including distillation, quantization, and serving optimizations-to improve latency, cost, and efficiency of deployed models under guidance from

Applied Scientist II, Vertical Search Relevance Bengaluru, Karnataka, IND The Amazon Search team creates strong customer-focused search and advertising solutions and technologies. Whenever a customer visits an Amazon site worldwide and types in a query or browses through product categories, our services go to work. We design, develop, and deploy high performance, fault-tolerant distributed search systems used by millions of Amazon customers every day. Amazon has grown rapidly and will continue to do so in foreseeable future. Providing a high quality search experience is a unique challenge as Amazon expands to new customers, countries, categories, and product lines. We are seeking a strong applied scientists to join the Vertical Search Relevance India team. This team's charter is to increase the pace at which Amazon expands and improve the search experience at launch. In practice, we aim to invent universally applicable signals and algorithms for training machine-learned ranking models and improve the machine-learning framework for training and offline evaluation that is used for all new relevance models. Key job responsibilities Key job responsibilities * Build machine learning models for Product Search. * Develop new ranking features and techniques building upon the latest results from the academic research community. * Propose and validate hypothesis to direct our business and product road map. Work with engineers to make low latency model predictions and scale the throughput of the system. * Focus on identifying and solving customer problems with simple and elegant solutions. * Design, develop, and implement production level code that serves billions

Transportation Specialist I, ROC Bengaluru, Karnataka, IND About Amazon ROC (Relay Operation Centre): Join a team that offers best learning opportunities and work experience in transportation execution, supply chain and operations management. A place where you can start/restart/advance your career and progress to leadership roles at Amazon. ROC (Relay Operation Center) is the central command and control center for 'Transportation Execution' across the Amazon Supply Chain network supporting multiple geographies like NA and EU. It ensures hassle free, timely pick-up and delivery of freight from vendors to Amazon fulfillment centers (FC) and from Amazon FCs to carrier hubs. In case of any exceptions, ROC steps in to resolve the issue and keeps all the stakeholders informed on the proceedings. In addition to support provided for ATS organization This organization supports externalization of ROC capabilities to external shippers and vendors. Along with this tactical problem-solving ROC is also charged with understanding trends in network exceptions and then automating processes or proposing process changes to streamline operations. This second aspect involves network monitoring and significant analysis of network data. Overall, ROC plays a critical role in ensuring the smooth functioning of Amazon transportation network and thereby has a direct impact on Amazon's ability to serve its customers on time. Location: Bangalore, KA IND Hours of Operation/Shift Timings: Rotational shifts (Position involves rotational shifts to support 24/7 operations. Schedule accommodations will be considered based on individual needs Medium of support: Multi-mode (Voice and non-voice) A synopsis of a 'Transportation Specialist' role: A Transportation

Applied Scientist, AWS Marketplace & Partner Services Seattle, Washington, USA The AWS Marketplace team is looking for an Applied Scientist to help build and improve our AI/ML-Powered Discovery systems. The ideal candidate is passionate about applying machine learning and artificial intelligence to complex information retrieval challenges, with experience in search, recommendations, or personalization. You'll work alongside senior scientists and engineers to develop models and systems that power traditional discovery experiences - such as search ranking, query understanding, and personalized recommendations - built on rich product knowledge graphs and structured metadata. You'll also help extend these foundations into emerging agentic discovery experiences, where AI agents leverage these retrieval and knowledge systems to help customers find and evaluate software solutions. This is a great opportunity to have direct impact on the future of software discovery on AWS Marketplace. Key job responsibilities - Design, develop, and deploy AI/ML models for search ranking, query understanding, recommendation, and discovery systems - Develop and improve information retrieval systems that operate over complex product taxonomies, knowledge graphs, and structured/unstructured metadata - Build relevance models that capture nuanced relationships between customer intent, product capabilities, and domain-specific context - Advance both traditional discovery experiences (search, browse, personalized recommendations) and agentic discovery with multi-agent systems - Conduct experiments and A/B tests to measure and improve the relevance and performance of discovery features - Analyze large-scale datasets to identify patterns, generate insights, and inform model development - Collaborate with engineers and product managers to integrate AI/ML solutions into production systems -

Postdoctoral Researcher – Visual Localization & Navigation | Amazon Last Mile Santa Cruz, California, USA Amazon is looking for talented Postdoctoral Scientists to join our research team for a full-time research position focused on visual localization and navigation for real-world applications. Our work focuses on developing next-generation assistive technologies and logistics platforms that rely on robust, scalable visual perception systems. We are building solutions that enable devices and agents to understand, localize within, and navigate complex real-world environments-from indoor spaces with dynamic layouts to large-scale outdoor settings. We are looking for Postdoctoral Scientists to work at the intersection of computer vision, SLAM, and scene understanding-supporting innovations that will be deployed to real systems at global scale. The core technical challenges include building metric-semantic maps of complex environments, performing robust visual relocalization under appearance change, maintaining long-term map consistency, and achieving accurate monocular localization using both geometric and learning-based approaches-all under real-time constraints on real hardware. The solution space is deliberately open-ended. We are looking for researchers who want to push the boundaries of visual localization and spatial AI-and see their work running on real platforms within months. Key job responsibilities In this role you will: * Work closely with a senior science advisor, collaborate with other scientists and engineers, and be part of Amazon's vibrant and diverse global science community. * Publish your innovation in top-tier academic venues and hone your presentation skills. * Be inspired by challenges and opportunities to invent cutting-edge techniques in your area(s) of expertise. A

Principal Tech Program Manager, Multilingual Search Quality Bengaluru, Karnataka, IND We are seeking an experienced candidate with a strong program management background, with a well-rounded exposure to projects involving application of machine learning and AI. You will lead the team through a quarterly planning process, improve experimentation velocity continuously, and hold all stakeholders accountable to a high throughput. You will work with partners across the search orgs, and be responsible for milestones for various high visibility projects. You will develop and own mechanisms like flashes, launch announcements and monthly business reviews to maintain collaborations with business and country teams. As part of the role, you will play a strong role during the operational planning process of the org. As a technical leader, you will influence strategy and outcomes across various search relevance initiatives. Key job responsibilities * Carry out quarterly planning process with the scientists/SDEs on the team * Own plans for high visibility initiatives for improving the precision of search results, and drive towards them * Drive mechanisms like flashes and monthly business reviews * Maintain collaborations across business and country teams, driving competing priorities * Own experimentation velocity for the team, and find avenues for improving the overall throughput of experiments * Influence overall strategy to improve search relevance About the team The Amazon Search Relevance team creates customer focused search solutions for powering Amazon search worldwide. The Search Relevance-L0 team in the Matching relevance and Early stage ranking org owns the responsibility of improving the precision of

AI Engineer Ecospace Campus 3A, 4th Floor, Outer Ring Road, Bellandur, Bengaluru- 560103 posted: Posted Yesterday