Affinity jobs

Head of Channel and Affinity Marketing HKGN 348 Kwun Tong Road posted: Posted 8 Days Ago

Muse Gretna, GBR (Gretna - Kate Spade) posted: Posted 28 Days Ago

Informatics and AI engineer, Biotherapeutics United States - Massachusetts - Cambridge posted: Posted 2 Days Ago

Finance Manager, AWS Global Sales Finance- ASEAN SGP Amazon Web Services (AWS) seeks a Finance Manager to be key member supporting ASEAN team. This is an exciting opportunity to join one of the fastest growing divisions within Amazon. As a Finance Manager, you will work closely with business leaders to develop financial models and analytical insights to assist in evaluating new business concepts, turning insights into operational measurements, and identifying paths to improve the overall planning and forecasting process. Key job responsibilities • Lead short- and long-term financial planning • Build financial models for new business concepts • Present financial summary and business insights to senior management; and • Tighten internal controls for program spending and revenue accrual • Assess credit applications and margin analysis About the team Diverse Experiences AWS values diverse experiences. Even if you do not meet all of the qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn't followed a traditional path, or includes alternative experiences, don't let it stop you from applying. Why AWS? Amazon Web Services (AWS) is the world's most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating - that's why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses. Inclusive Team Culture Here at AWS, it's in our nature to learn and be curious. Our employee-led affinity groups foster a culture of

Werkstudent/in Marketing (m/w/d) Vascular Germany - Wetzlar posted: Posted 30+ Days Ago

Sr. Applied Scientist, Special Projects New York, New York, USA Innovators wanted! Are you an entrepreneur? A builder? A dreamer? This role is part of an Amazon Special Projects team that takes the company's Think Big leadership principle to the extreme. We focus on creating entirely new products and services with a goal of positively impacting the lives of our customers. No industries or subject areas are out of bounds. If you're interested in innovating at scale to address big challenges in the world, this is the team for you. Here at Amazon, we embrace our differences. We are committed to furthering our culture of inclusion. We have thirteen employee-led affinity groups, reaching 40,000 employees in over 190 chapters globally. We are constantly learning through programs that are local, regional, and global. Amazon's culture of inclusion is reinforced within our 16 Leadership Principles, which remind team members to seek diverse perspectives, learn and be curious, and earn trust. Our team highly values work-life balance, mentorship and career growth. We believe striking the right balance between your personal and professional life is critical to life-long happiness and fulfillment. We care about your career growth and strive to assign projects and offer training that will challenge you to become your best. Key job responsibilities - Lead and execute complex, ambiguous research projects from ideation to production deployment - Drive technical strategy and roadmap decisions for ML/AI initiatives - Collaborate cross-functionally with product, engineering, and business teams to translate research into scalable products

Associate Scientist, Product Biochemistry TARRYTOWN posted: Posted Yesterday

Senior Associate Scientist - Protein Expression Science TARRYTOWN posted: Posted Yesterday

Senior Scientist I, Analytical & Purification Sciences North Chicago, IL, United States Company Description: About AbbVie AbbVie's mission is to discover and deliver innovative medicines and solutions that solve serious health issues today and address the medical challenges of tomorrow. We strive to have a remarkable impact on people's lives across several key therapeutic areas including immunology, oncology and neuroscience - and products and services in our Allergan Aesthetics portfolio. For more information about AbbVie, please visit us at www.abbvie.com . Follow @abbvie on LinkedIn, Facebook , Instagram , X and YouTube. Job Description: The Analytical and Purification Sciences (APS) group has an exciting opportunity for a Senior Scientist to join the Technology and Therapeutic Platforms organization within Discovery Research at AbbVie. The APS group provides enabling technologies to support Discovery Medicinal Chemistry initiatives. The scientist will execute compound purification using preparative HPLC and/or SFC and devise innovative solutions to complex analytical and separation problems through the implementation of sophisticated instrumentation. The candidate will act as a lead scientist in his/her area of expertise on one or more projects and critically evaluate relevant scientific advances and integrate this knowledge into research programs. Key Responsibilities Maintain a high level of productivity in the laboratory setting. Collaborate with medicinal chemistry teams through developing methods and providing technical guidance to solve analytical and purification problems. Innovate within the Analytical and Purification Sciences group to develop efficient workflows for sample prioritization and client communication. Execute compound purification on milligram to gram scale using preparative

Machine Learning Engineer, Sponsored Products and Brands Relevance Palo Alto, California, USA The Sponsored Products and Brands (SPB) team at Amazon Ads is re-imagining the advertising landscape through generative AI, revolutionizing how millions of customers discover products and engage with brands across Amazon and beyond. We bridge human creativity with artificial intelligence to transform every aspect of the advertising lifecycle-from ad creation and optimization to performance analysis and customer insights. Within SPB, the Search Relevance team's mission is to help shoppers easily find and discover the most useful and relevant sponsored products while improving advertisers' ability to reach the right shoppers in the right context. We develop capabilities to understand shoppers' queries, shopping missions, and product attributes to identify ASINs that are contextually relevant to each shopper. As a Machine Learning Engineer on this team, you will collaborate with scientists and product managers to work backwards from customers, identify problems, and propose innovative solutions. You will mentor junior engineers, raise the bar for engineering excellence, and have a positive impact on hundreds of millions of customers. If you're energized by solving complex challenges and pushing the boundaries of what's possible with AI in advertising, join us in shaping the future. Key job responsibilities - Design and build scalable services to support advertising infrastructure. - Collaborate with scientists and engineers to design and build data pipelines for processing massive datasets and scaling ML and LLMs. - Provide architectural guidance and technical leadership to ensure solutions deliver measurable improvements in customer perceived

Applied Scientist Seattle, Washington, USA At Amazon Selection and Catalog Systems (ASCS), our mission is to power the online buying experience for customers worldwide so they can find, discover, and buy any product they want. We innovate on behalf of our customers to ensure uniqueness and consistency of product identity and to infer relationships between products in Amazon Catalog to drive the selection gateway for the search and browse experiences on the website. We're solving a fundamental AI challenge: establishing product identity and relationships at unprecedented scale. Using Generative AI, Visual Language Models (VLMs), and multimodal reasoning, we determine what makes each product unique and how products relate to one another across Amazon's catalog. The scale is staggering: billions of products, petabytes of multimodal data, millions of sellers, dozens of languages, and infinite product diversity-from electronics to groceries to digital content. The research challenges are immense. GenAI and VLMs hold transformative promise for catalog understanding, but we operate where traditional methods fail: ambiguous problem spaces, incomplete and noisy data, inherent uncertainty, reasoning across both images and textual data, and explaining decisions at scale. Establishing product identities and groupings requires sophisticated models that reason across text, images, and structured data-while maintaining accuracy and trust for high-stakes business decisions affecting millions of customers daily. Amazon's Item and Relationship Platform group is looking for an innovative and customer-focused applied scientist to help us make the world's best product catalog even better. In this role, you will partner with technology and business leaders to

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

Senior Applied Scientist, Neuro-Symbolic AI Labs Boston, Massachusetts, USA We are looking for researchers who aim to build super-intelligent AI systems that leverage proof assistants to guide learning and reasoning. Our neuro-symbolic AI technology is applied across a wide range of science and engineering domains within Amazon, and you will join the team at the forefront of this research. As an Applied Scientist here, you will play a pivotal role in shaping the definition, vision, and development of product features from beginning to end. You will: * Define and implement new neuro-symbolic applications that employ scalable and efficient approaches to solve complex problems. * Work in an agile, startup-like development environment, where you are always working on the most important stuff. * Deliver high-quality scientific artifacts. About the team We work closely with academia. Our team includes an Amazon Scholar in mathematics, and we maintain active research collaborations with faculty at leading CS departments (MIT, Berkeley, CMU). Why AWS? Amazon Web Services (AWS) is the world's most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating - that's why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses. Inclusive Team Culture Here at AWS, it's in our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences. Ongoing events and learning experiences, including our Conversations on Race and

Principal Sales Representative, Automotive, Greenfield, Auto-MFG Miami, Florida, USA The AWS Enterprise Sales Team The AWS Sales team is responsible for serving the needs of medium to large enterprise customers. We have begun our journey in industry some time ago and we are making great progress in Automotive & Manufacturing. We take pride in leading customers through an accelerated and innovative cloud journey and creating long-term business relationships of value and trust. As part of the AWS Sales team, you will have the opportunity to work alongside a motivated team that values and encourages diversified perspectives and ideas to best equip customers with the most innovative and comprehensive solutions. The Role As an Enterprise Sales Representative, you will drive digital transformation through meaningful engagement with C-level executives, IT leaders, architects, developers, and various lines of businesses of your customers. In this role, you will represent the entire portfolio of AWS products and services across the strategic accounts you manage within the Enterprise customer market segment. With AWS, our customers benefit from the fastest pace of innovation, the broadest and deepest functionality, the most secure computing environment, and the most proven operational expertise. Inclusive Team Culture Here at AWS, we embrace our differences. We are committed to furthering our culture of inclusion. We have ten employee-led affinity groups, reaching 40,000 employees in over 190 chapters globally. We have a peculiar culture here at Amazon and and we embrace others equally peculiar. Mentorship and Career Growth Our team is dedicated to supporting

Software Engineer- AI/ML, AWS Neuron Cupertino, California, USA AWS Neuron is the complete software stack for the AWS Inferentia and Trainium cloud-scale machine learning accelerators and the Trn1 and Inf1 servers that use them. This role is for a software engineer in the Machine Learning Applications (ML Apps) team for AWS Neuron. This role is responsible for development, enablement and performance tuning of a wide variety of ML model families, including massive scale large language models like LLama4, Mixtral, DBRX and beyond, as well as stable diffusion, Vision Transformers and many more. The Distributed training team works side by side with chip architects, compiler engineers and runtime engineers to create , build and tune distributed training solutions with Trainium. Experience training these large models using Python is a must. FSDP, Deepspeed and other distributed training libraries are central to this and extending all of this for the Neuron based system is key. Key job responsibilities This role will help lead the efforts building distributed training support into Pytorch and Jax using XLA and the Neuron compiler and runtime stacks. This role will help tune these models to ensure highest performance and maximize the efficiency of them running on the customer AWS Trainium . Strong software development and ML knowledge are both critical to this role. About the team About Us Inclusive Team Culture Here at AWS, we embrace our differences. We are committed to furthering our culture of inclusion. We have ten employee-led affinity groups, reaching 40,000 employees in over

Allocator II, Direct Allocation - Converse Hilversum, Netherlands posted: Posted 2 Days Ago

Applied Scientist, Customer Behavior Analytics Seattle, Washington, USA The Customer Behavior Analytics team designs innovative machine learning solutions to enhance customer experiences and strengthen their relationship with Amazon. This interdisciplinary team of scientists and engineers incubates and develops disruptive solutions using state-of-the-art technology to tackle some of the most challenging scientific problems in customer behavior analysis at Amazon. To achieve this, the team utilizes methods from deep learning, large language models (LLMs), natural language models, recommendation systems, affinity models, reinforcement learning, and econometrics to drive personalized experiences throughout the customer journey. As a Customer Behavior Analytics Scientist, you will have the opportunity to make a significant business impact, delve into large-scale problems, drive measurable actions, and collaborate closely with other scientists and engineers. You will be responsible for designing and developing state-of-the-art models and working with business, marketing, and engineering teams to address key challenges in customer behavior analytics. Key responsibilities include: - Design and fine-tune language and generative models for recommendation and engagement, including continued pre-training, supervised fine-tuning, and preference-based alignment, to optimize for long-term customer value rather than short-term clicks. - Develop generative recommendation and decision models that produce next-best customer engagement actions (e.g., recommendations, bundles, messaging, incentives, timing), conditioned on structured customer and household-level behavioral context. - Build structured, temporal representations of customer behavior (e.g., lifecycle stage, needs, replenishment patterns, engagement history) and integrate them into generative and deep learning models to enable long-horizon reasoning. - Experiment scalable representations of customer and household behavior that summarize long

Product Marketing Manager, Google Play Core Growth Bengaluru, Karnataka, India Whether you're on a consumer product (like Gmail, Search, Maps, Chrome, Android) or a business product (Google Ads, AdSense, Google Marketing Platform, Analytics), you take part in a complete marketing experience as you lead every facet of the product's journey. From determining positioning, naming, competitive analysis, feature prioritization and external communications, you help shape the product and help it grow a consumer base. This means you work with a cross-functional team across Sales, corporate communications, legal, webmasters, product development, engineering and more. In this role, you'll be involved with product marketing strategy from beginning to end. Google Play is at the heart of the Android ecosystem, providing the apps, games, and digital content that Google Play provides the apps, games, and digital content for the Android ecosystem. The Play store serves users globally and supports Google's overall business growth. The Growth Marketing team builds a Customer Relationship Management (CRM) platform and creates marketing programs to connect with our user base. In this role, you will craft narratives about Google Play while helping to shape the CRM infrastructure that delivers them. You will support users with their Play experience, increasing product affinity and engagement, and help shape represent Play. Shape Play's CRM strategy to build engagement engine, managing long-term value and affinity for Google Play. Optimize the CRM funnel by identifying and addressing pain points, ensuring a seamless and high-impact user journey across all touchpoints. Partner with product and engineering teams

Principal Account Manager, Strategic Accounts New York, New York, USA AWS is seeking an experienced Principal Strategic Account Manager to lead and continue to expand the business with one of our company's largest and most strategic customers. The Principal Strategic Account Manager will be a key member of the team responsible for providing business leadership and creative direction for this highly visible customer. You will build and maintain broad relationships in the account, develop and manage opportunities, and lead a large team of extended resources. You will define the executive relationship strategy within the account; including building a strong working relationship with the AWS senior leadership team for executive sponsorship, executive business reviews, and shaping go-to-market opportunities. Do you look around corners for ways to engage and service customers? Are you passionate about using technology to solve business problems that have big customer impact? Come build the future with us! Why AWS? Amazon Web Services (AWS) is the world's most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating - that's why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses. Inclusive Team Culture Here at AWS, it's in our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences. Ongoing events and learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (gender diversity) conferences,

Manager, Research Science, Special Projects Seattle, Washington, USA Innovators wanted! Are you an entrepreneur? A builder? A dreamer? This role is part of an Amazon Special Projects team that takes the company's Think Big leadership principle to the extreme. We focus on creating entirely new products and services with a goal of positively impacting the lives of our customers. No industries or subject areas are out of bounds. If you're interested in innovating at scale to address big challenges in the world, this is the team for you. Here at Amazon, we embrace our differences. We are committed to furthering our culture of inclusion. We have thirteen employee-led affinity groups, reaching 40,000 employees in over 190 chapters globally. We are constantly learning through programs that are local, regional, and global. Amazon's culture of inclusion is reinforced within our 16 Leadership Principles, which remind team members to seek diverse perspectives, learn and be curious, and earn trust. Our team highly values work-life balance, mentorship and career growth. We believe striking the right balance between your personal and professional life is critical to life-long happiness and fulfillment. We care about your career growth and strive to assign projects and offer training that will challenge you to become your best. Basic Qualifications: - Bachelor's degree - Masters, or Bachelors degree with 10+ years experience Preferred Qualifications: - 10+ years of managerial experience, working with commercial products Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status,

Analytical Scientist 2 Locations posted: Posted Yesterday

Team Lead - Key Account Management - Vaga direcionada para Pessoas com Deficiência, Varejo Sao Paulo, Sao Paulo, BRA Vaga direcionada para Pessoas com Deficiência At Amazon Brazil we value Diversity, Equity and Inclusion (DEI) in all our job positions, therefore, we act intentionally so that our internal environment reflect the plurality of the businesses we play and the customers we serve. In Brazil, we have a Diversity, Equity and Inclusion squad, which is formed by representatives from different roles and areas, as we understand that this agenda must have different perspectives and multiple experiences. Our leadership is committed and understands more and more their role in sharing and acting on our leadership principles, with the purpose of 'Strive to Be Earth's Best Employer'. Understanding our responsibility and our need for change, we are conscientious that 'Success and Scale Bring Broad Responsibility'. Our affinity groups are built from and by volunteers from different businesses and they are an active part of our DE&I strategies definition. Besides that, they act as ambassadors of this agenda, and they will support you from Day1. Remember, at Amazon 'It's always Day1'. Our groups are organized in the following fronts: BEN - Black Employee Network, Women@Amazon, Glamazon (LGBTQIA+) and People With Disabilities, to be launched in 2022. ge, we are conscientious that 'Success and Scale Bring Broad Responsibility'. Our affinity groups are built from and by volunteers from different businesses and they are an active part of our DE&I strategies definition. Besides that, they act

Applied Scientist, Shopping Convo Foundations - Pre-purchases Science Santa Clara, California, USA The Shopping Convo Foundations Team - Pre-purchases Science is looking for an Applied Scientist with expertise in Artificial Intelligence and Machine Learning to drive scientific innovation that expands Amazon's product catalogue. Our goal is to leverage AI/ML solutions to enhance catalogue coverage with high precision. In this role, you will research and develop novel machine learning approaches to solve complex catalogue expansion and product attribute challenges. You will design and develop state-of-the-art ML models, conduct rigorous experimentation, and translate scientific breakthroughs into production-ready solutions. You will work closely with ML Engineers and Software Development Engineers to optimize model performance, ensure scalability, and deploy low-latency solutions at Amazon scale. Basic Qualifications: - 3+ years of building models for business application experience - PhD, or Master's degree and 4+ years of CS, CE, ML or related field experience - Experience in patents or publications at top-tier peer-reviewed conferences or journals - Experience programming in Java, C++, Python or related language - Experience in any of the following areas: algorithms and data structures, parsing, numerical optimization, data mining, parallel and distributed computing, high-performance computing Preferred Qualifications: - Experience using Unix/Linux - Experience in professional software development Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Los Angeles County applicants: Job duties for this position include: work safely and cooperatively with other employees, supervisors, and staff; adhere to

Machine Learning Engineer II, Special Projects Seattle, Washington, USA Innovators wanted! Are you an entrepreneur? A builder? A dreamer? This role is part of an Amazon Special Projects team that takes the company's Think Big leadership principle to the next level. We focus on creating entirely new products and services with a goal of positively impacting the lives of our customers. No industries or subject areas are out of bounds. If you're interested in innovating at scale to address big challenges in the world, this is the team for you. Here at Amazon, we embrace our differences. We are committed to furthering our culture of inclusion. We have thirteen employee-led affinity groups, reaching 40,000 employees in over 190 chapters globally. We are constantly learning through programs that are local, regional, and global. Amazon's culture of inclusion is reinforced within our 16 Leadership Principles, which remind team members to seek diverse perspectives, learn and be curious, and earn trust. Our team highly values work-life balance, mentorship and career growth. We believe striking the right balance between your personal and professional life is critical to life-long happiness and fulfillment. We care about your career growth and strive to assign projects and offer training that will challenge you to become your best. Key job responsibilities * Ability to quickly learn state of the art technologies and algorithms in the field of Generative AI to participate in our journey to build the best LLMs. * Responsible for the development and maintenance of key platforms