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BASIC QUALIFICATIONS- 3+ years of non-internship professional software development experience- 2+ years of non-internship design or architecture (design patterns, reliability and scaling) of new and existing systems experience- Experience programming with at least one software programming languageDESCRIPTIONOpportunities abound in Amazon's Workforce Optimization Organization! We build cool technology to ensure that the right people are in the right places at the right times to power the largest fulfillment operation in the world.We are looking for a talented SDE to build best-in-class user experiences for managing and communicating one of the most critical elements of fulfillment operations - staffing assignments. You will partner with product, design, and your engineering team to build applications that delight customers and make a real-world impact.As a member of this team, you will get the opportunity to work on highly visible, innovative projects that directly impact the customer experience. You will be involved in all the aspects of the software development cycle, including scoping, design, implementation, testing, and delivery of your product.If you are passionate about improving the customer experience, want a chance to influence both product and its underlying technology, and enjoy complex problems, then we want to hear from you.Key job responsibilities- In this position, you will collaborate with product managers, software engineers, research scientists, user experience designers, and other teams. - The ideal candidate will possess a strong technical background, exceptional engineering skills, effective communication skills, and the drive to achieve results in a fast-paced environment. - Your responsibilities will include coding and mentoring junior engineers, with a commitment to contributing code to the program.A day in the lifeAmazon offers a full range of benefits that support you and eligible family members, including domestic partners and their children. Benefits can vary by location, the number of regularly scheduled hours you work, length of employment, and job status such as seasonal or temporary employment. The benefits that generally apply to regular, full-time employees include:1. Medical, Dental, and Vision Coverage2. Maternity and Parental Leave Options3. Paid Time Off (PTO)4. RRSP If you are not sure that every qualification on the list above describes you exactly, we'd still love to hear from you! At Amazon, we value people with unique backgrounds, experiences, and skillsets. If you're passionate about this role and want to make an impact on a global scale, please apply!About the teamAmazon Fulfillment Technologies (AFT) powers Amazon's global fulfillment network. We invent and deliver software, hardware, and data science solutions that orchestrate processes, robots, machines, and people. We harmonize the physical and virtual world so Amazon customers can get what they want, when they want it.Workforce OptimizationAFT's Workforce Optimization team delivers innovative platforms and products to automate labor management and staffing decisions across processes and functions at Amazon's global fulfillment network locations.We are open to hiring candidates to work out of one of the following locations:Toronto, ON, CANPREFERRED QUALIFICATIONS- Bachelor's degree in computer science or equivalent- 3+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience- Experience designing or architecting (design patterns, reliability and scaling) of new and existing systemsAmazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, disability, age, or other legally protected status. If you would like to request an accommodation, please notify your Recruiter.Salary: . Date posted: 03/27/2024 10:37 PM

BASIC QUALIFICATIONS- PhD, or Master's degree and 4+ years of CS, CE, ML or related field experience- 2+ years of building models for business application experience- 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 computingDESCRIPTIONAmazon Advertising is one of Amazon's fastest growing and most profitable businesses. As a core product offering within our advertising portfolio, Sponsored Products (SP) helps merchants, retail vendors, and brand owners succeed via native advertising, which grows incremental sales of their products sold through Amazon. The SP team's primary goals are to help shoppers discover new products they love, be the most efficient way for advertisers to meet their business objectives, and build a sustainable business that continuously innovates on behalf of customers. Our products and solutions are strategically important to enable our Retail and Marketplace businesses to drive long-term growth. We deliver billions of ad impressions and millions of clicks and break fresh ground in product and technical innovations every day!As an Applied Scientist on this team you will:* Build machine learning models and utilize data analysis to deliver scalable solutions to business problems.* Perform hands-on analysis and modeling with very large data sets to develop insights that increase traffic monetization and merchandise sales without compromising shopper experience.* Work closely with software engineers on detailed requirements, technical designs and implementation of end-to-end solutions in production.* Design and run A/B experiments that affect hundreds of millions of customers, evaluate the impact of your optimizations and communicate your results to various business stakeholders.* Work with scientists and economists to model the interaction between organic sales and sponsored content and to further evolve Amazon's marketplace.* Establish scalable, efficient, automated processes for large-scale data analysis, machine-learning model development, model validation and serving.* Research new predictive learning approaches for the sponsored products business.* Write production code to bring models into production.Why you love this opportunityAmazon is investing heavily in building a world-class advertising business. This team is responsible for defining and delivering a collection of advertising products that drive discovery and sales. Our solutions generate billions in revenue and drive long-term growth for Amazon's Retail and Marketplace businesses. We deliver billions of ad impressions, millions of clicks daily, and break fresh ground to create world-class products. We are highly motivated, collaborative, and fun-loving team with an entrepreneurial spirit - with a broad mandate to experiment and innovate.Impact and Career GrowthYou will invent new experiences and influence customer-facing shopping experiences to help suppliers grow their retail business and the auction dynamics that leverage native advertising; this is your opportunity to work within the fastest-growing businesses across all of Amazon! Define a long-term science vision for our advertising business, driven fundamentally from our customers' needs, translating that direction into specific plans for research and applied scientists, as well as engineering and product teams. This role combines science leadership, organizational ability, technical strength, product focus, and business understanding.We are open to hiring candidates to work out of one of the following locations:Toronto, ON, CANPREFERRED QUALIFICATIONS- Experience using Unix/Linux- Experience in professional software developmentAmazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, disability, age, or other legally protected status. If you would like to request an accommodation, please notify your Recruiter.Salary: . Date posted: 04/10/2024 10:10 PM

BASIC QUALIFICATIONS- PhD, or Master's degree and 4+ years of CS, CE, ML or related field experience- 3+ years of building models for business application experience- 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 computingDESCRIPTIONAmazon's Sponsored Products advertising business is one of the fastest growing areas in the company. Have you ever wondered what happens behind that "Sponsored" label you see on Amazon? The Sponsored Products Marketplace team creates and optimizes the systems that match advertiser demand (ads) with page supply (placements) using a combination of data-driven product innovation, machine learning, big data analytics, and low latency/high-volume engineering. By the time organic search results are ready, we've processed all of the candidate ads and determined which ones are delivered to the page. We do that billions of times per day, resulting in millions of engagements with products that otherwise might not have been seen by shoppers. The business and technical challenges are significant. Fortunately, we have a broad mandate to experiment and innovate, and a seemingly endless range of new opportunities to build a big, sustainable business that helps Amazon continuously delight all of our customers. We're looking for an innovative and customer-obsessed Applied Scientist who can help us take our products to the next level of quality and performance by creating state-of-the-art models to improve our ability to optimize performance, forecast the impact of advertiser actions, and enable advertisers to scale through impactful features. We embrace leaders with a startup mentality -- those who have a disruptive yet clear mission and purpose, an unambiguous owner's mindset, and a relentless obsession for delivering amazing products. As an Applied Scientist on the Scalable Controls team, you will work alongside business leaders, other scientists, and software engineers to deliver rules that algorithmically manage ads using ML, DL, and R techniques. You will be responsible for bridging the experimental domain with the production domain by building robust and efficient computational pipelines to scale up models, keeping the models fresh, and ensuring that real-world corner cases are handled correctly. You'll own significant products and features from inception through launch, and will work with Product Managers, other Scientists, and Engineers to make your efforts wildly successful. You will lead the science program for our team, providing input to strategic decision making on topics such as program direction/vision, roadmap, and staffing. If this sounds like your sort of challenge, read on.Characteristics indicative of success in this role:• Highly analytical: You solve problems in ways that can be backed up with verifiable data. You focus on driving processes, tools, and statistical methods which support rational decision-making.•Technically fearless: You aren't satisfied by performing 'as expected' and push the limits past conventional boundaries. Your dial goes to '11'.• Engaged by ambiguity: You're able to explore new problem spaces with unique constraints and non-obvious solutions.• Team obsessed individual contributor: You help grow your team members to achieve outstanding results. You've learned that big plans generally involve collaboration and great communications.• Quality obsessed: You recognize that professional scientists build high quality model development and evaluation frameworks to ensure that their models can provably meet launch criteria, or efficiently iterate in the framework until they do.• Humbitious: You're ambitious, yet humble. You recognize that there's always opportunity for improvement. You use introspection and feedback from teammates and peers to raise the bar.Key job responsibilities• Apply machine learning and analytical techniques to create scalable solutions for business problems• Work closely with software engineering and product teams across the organization to drive model implementations and new feature creations• Work closely with business stakeholders to identify opportunities for current model improvements and new models to significantly benefit the business bottom-line• Collaborate with scientists within the Ads organization as well as other parts of Amazon to share learnings move the state-of-the-art forward• Establish scalable, efficient, automated processes for data analyses, model development, model validation and model implementation• Research and implement novel machine learning and statistical approachesWe are open to hiring candidates to work out of one of the following locations:Toronto, ON, CANPREFERRED QUALIFICATIONS- Strong publication record with novel research contributions- Proven success in applying ML/DL/RL models to practical problems- Expertise in working with big-data in map/reduce setting using Spark, EMR, etc.- Experience with AWS and data-oriented tools such as Sagemaker, ElasticSearch, Airflow, etc.- Very good programming skills with Scala, Java, or Python- Experience in online advertising domain (particularly, ad targeting and serving)Amazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, disability, age, or other legally protected status. If you would like to request an accommodation, please notify your Recruiter.Salary: . Date posted: 04/16/2024 09:32 AM

View transcriptBASIC QUALIFICATIONS- 3+ years of non-internship professional software development experience- 2+ years of non-internship design or architecture (design patterns, reliability and scaling) of new and existing systems experience- Experience programming with at least one software programming languageDESCRIPTIONAmazon Advertising is one of Amazon's fastest growing and most profitable businesses, responsible for defining and delivering a collection of advertising products that drive discovery and sales. Our products and solutions are strategically important to enable our Retail and Marketplace businesses to drive long-term growth. We deliver billions of ad impressions and millions of clicks and break fresh ground in product and technical innovations every day!The Sponsored Products Demand Identification and Campaign Optimization (DEICO) team is responsible for building experiences across all seller and advertiser touchpoints to generate performant Sponsored Products demand and improved campaign performance through guardrail-based controls. We do this through 1) Creating performant demand focusing on Amazon supplier use cases (e.g. launching a new ASIN) through presets for campaign creation. 2) Making existing demand performant through diagnosing gaps and providing proactive and targeted recommendations, and 3) Developing and launching new campaign optimization rules that allow advertisers to provide performance guardrails and automate optimization of their campaigns. Within these domains, we focus on creating holistic recommendations through machine learning for products to advertise and optimal presets across every parameter that go into Sponsored Products ad campaign setup, as well as consolidated recommendations that improve performance of existing Sponsored Product campaigns.We are looking for a Software Development Engineer, who can drive appropriate AI/ML technology choices for the business. You will build services to handle billions of requests per day, while maintaining response latencies in milliseconds and meeting strict SLA requirements. It is quite routine for our systems to operate on massive datasets using distributed frameworks. You will design and code, troubleshoot, and support high volume and low latency distributed systems. The solutions you create would drive step increases in coverage of sponsored ads across the retail website and ensure relevant ads are served to Amazon's customers. You will directly impact our customers' shopping experience while helping our sellers get the maximum ROI from advertising on Amazon. This role will provide exposure to cutting-edge innovations in product search, information retrieval, natural language processing (NLP), deep learning, and generative AI.Key job responsibilitiesDrive the direction of our technical solutions, and work on many different technologies such as deep learning, AWS, Auto ML, real-time ML serving systems.Design, develop, and production software to support scalable offline machine-learning pipelines and online serving components.Work closely with engineers and applied scientists to optimize the performance of machine-learning models, improve the team's machine learning productivity, and advance the technical foundation to empower our science innovation. What you create is also what you own.We are open to hiring candidates to work out of one of the following locations:Toronto, ON, CANPREFERRED QUALIFICATIONS- 3+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience- Bachelor's degree in computer science or equivalentAmazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, disability, age, or other legally protected status. If you would like to request an accommodation, please notify your Recruiter.Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $115,000/year in our lowest geographic market up to $223,600/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit https://www.aboutamazon.com/workplace/employee-benefits. This position will remain posted until filled. Applicants should apply via our internal or external career site.Salary: . Date posted: 04/02/2024 09:14 AM

BASIC QUALIFICATIONS- 7 years of design, implementation, or consulting in applications and infrastructures experience- 5+ years management of technical, customer facing resources- 5 years of specific technology domain areas (e.g. software development, cloud computing, systems engineering, infrastructure, security, networking, data & analytics) experience.DESCRIPTIONAre you a customer-obsessed builder with a passion for helping customers achieve their full potential? Do you have the business savvy, Data & AI background, and sales skills necessary to help position AWS as the cloud provider of choice for customers? Do you love building new strategic and data-driven businesses? Join the Worldwide Specialist Organization (WWSO) Data & AI GTM NAMER team as a GTM Specialist Solutions Architect! At Amazon, we've been investing deeply in artificial intelligence for over 20 years, and many of the capabilities customers experience are driven by machine learning. The Worldwide Specialist Organization (WWSO) works backwards from our customer's most complex and business critical problems to build and execute go-to-market plans that turn AWS ideas into multi- billion-dollar businesses. WWSO teams include business development, specialist and technical solutions architecture. As part of WWSO, you'll provide expertise across the entire life cycle of an AWS customer initiative, from developing ideas for new services to accelerating the adoption of established businesses. We pride ourselves on thinking big, delivering exceptional results for our customers, and working across AWS as #OneTeam.AWS is looking for a Generative AI Solution Architect, who will be the Subject Matter Expert (SME) for helping customers in designing solutions that leverage our Generative AI services. As part of the GTM Specialist Solutions Architecture team, you will work closely with other Specialist Machine Learning Architects from various geographies to enable large-scale customer use cases and drive the adoption of Amazon Web Services for ML/AI platforms. You will interact with other Solution Architects in the field, providing guidance on their customer engagements, and you will develop white papers, blogs, reference implementations, and presentations to enable customers and partners to fully leverage ML/AI on Amazon Web Services. You will also create field enablement materials for the broader SA population, to help them understand how to integrate Amazon Web Services ML solutions into customer architectures. . You drive effective feedback gathering from customers, and you distill and translate that feedback into clear business and technical requirements for product and engineering teams to review. You may continue to sponsor the creation of new products and features from these requirements, working closely with product and engineering teams to minimize requirements drift from your customer's needs.You must have deep technical experience working with technologies related to multimodal, image generation, from model fine-tune to prompt engineering. A strong developing machine learning background is preferred, in addition to experience building application and architecture design. You will be familiar with the ecosystem of software vendors in the AI/ML space, and will leverage this knowledge to help Amazon Web Services customers in their selection process.Candidates must have great communication skills and be very technical, with the ability to impress Amazon Web Services customers at any level, from executive to developer. Previous experience with Amazon Web Services is desired but not required, provided you have experience building large scale solutions. You will get the opportunity to work directly with senior ML engineers and Data Scientists at customers, partners and Amazon Web Services service teams, influencing their roadmaps and driving innovation.Key job responsibilities- Thought Leadership - Evangelize AWS AI/ML, GenAI services and share best practices through forums such as AWS blogs, white-papers, reference architectures and public-speaking events such as AWS Summit, AWS re:Invent, etc. - Partner with SAs, Sales, Business Development and the AI/ML Service teams to accelerate customer adoption and providing guidance on their customer engagements.- Act as a technical liaison between customers and the AWS SageMaker services teams to provide customer driven product improvement feedback.- Develop and support an AWS internal community of ML related subject matter experts worldwide. Create field enablement materials for the broader SA population, to help them understand how to integrate Amazon Web Services GenAI solutions into customer architectures.- Customer Advisor- Implement, and deploy state of the art machine learning algorithms under Gen AI. You will build prototypes, PoCs, and explore new solutions. You will interact closely with our customers and with the academic community.We are open to hiring candidates to work out of one of the following locations:Toronto, ON, CANPREFERRED QUALIFICATIONS- 5+ years of infrastructure architecture, database architecture and networking experience- Experience working with end user or developer communities- Experience managing data pipelines- Experience as a leader and mentor on a data science team- Active in the open source community, such as HuggingFace, StableDiffusion, etc- Large models pretrain/fine-tuning experience, familiar with distributed trainingAmazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, disability, age, or other legally protected status. If you would like to request an accommodation, please notify your Recruiter.The base salary for this position ranges from $126,000/year up to $210,400/year. Salary is based on a number of factors and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. Applicants should apply via our internal or external career site.Salary: . Date posted: 04/24/2024 09:14 AM

BASIC QUALIFICATIONS- Bachelor's degree- 5+ years of finance or a related analytical field experienceDESCRIPTIONWhere will Amazon's growth come from next year? In five years? Which product lines are staged to quintuple in size, and which ones are mature?These are some of the most important questions at Amazon today. North American Customer Fulfillment (NACF) will be the answer to many of those questions. Our Fulfillment Centers (FCs) utilize Amazon robotics, scanning machines, and computer systems that track millions of items in a day. As part of the team, you will utilize cutting edge data pipelines, build accurate predictive models, participate in new site launches, and deploy automated software solutions to provide forecasting insights to senior leadership (C suite) driving decisions affecting millions of customers globally.NACF Finance is looking for a Finance Manager to be the trusted finance partner at one of our sites. Experience with this team opens up several career opportunities across Amazon, e.g. senior roles supporting different business lanes, project management roles, and/or management opportunities locally, regionally, and globally.This role will partner closely with a broad range of Finance and business leaders in Operations, HR, Technology, and Retail; as well as with research scientists, technical product managers, and software developers. This role will design, develop, and maintain performance measurements and reporting on strategic input drivers to continuously improve the economics of the business.The successful candidate will have demonstrated an ability to influence business owners, support thoughtful decision-making, and adapt to a rapidly evolving environment. Regular collaboration with executives and various business units across Amazon will allow you the opportunity to exhibit your verbal and written communication skills. A typical day in this role, provides an opportunity to improve and create new measures for site productivity, innovate creative solutions utilizing large scale data mining tools, identifying high priority work/projects to maximize results for key stakeholders, and solve complex problems affecting company-wide strategic decision-making.Key job responsibilities- Utilizing solid financial knowledge and business acumen to build financial models, interoperate data, draw conclusions, and make recommendations that deliver results, drive improvements, and influence leaders throughout Amazon which may have global impact.- Responsible for delivering weekly/monthly financial close, planning, forecasting, budgeting, and consolidations utilizing financial systems and advance excel functions.- Create effective business partnership, manage competing priorities, and providing guidance during unexpected events- Intuitively utilize active listening skills to communicate data (both written and verbal) in a clear, concise, and unambiguous manner, adjusting your style based on audience, to articulate complex finance issues- Collecting and analyzing quantitative data to develop relevant reports leading to cost reductions- Manage a direct report and take part in hiring, developing, and mentoring activities while you seek value, and leverage diverse perspectives- Proactively identify opportunities to resolve finance defects and improve, scale, or simplify finance tools across teams and organizations.- Contribute to work life harmony by becoming a positive, collaborative, and effective influencer to new team members as an indicator of operations excellence.We are open to hiring candidates to work out of one of the following locations:Toronto, ON, CANPREFERRED QUALIFICATIONS- Experience working with large-scale data mining and reporting tools (i.e. SQL, MS Power Query, Python)Amazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, disability, age, or other legally protected status. If you would like to request an accommodation, please notify your Recruiter.Salary: . Date posted: 04/24/2024 09:13 AM

Join us in pioneering breakthroughs in healthcare. For everyone. Everywhere. Sustainably. Our inspiring and caring environment forms a global community that celebrates diversity and individuality. We encourage you to step beyond your comfort zone, offering resources and flexibility to foster your professional and personal growth, all while valuing your unique contributions.Come and join our global team as an Executive Assistant. Reporting to the Finance Director, this is a dynamic and fast paced role that provides administration support to several areas of the business.The Executive Assistant role is a hybrid position and worked from our Macquarie Park office and from home. The successful candidate will be required to be in the office a minimum of 4 days per week.Your role:Travel & expense management, arranging meetings, conferences & catering, ordering stationary & Onboarding support for new employees including arranging new equipment and IT access.Purchase order requisitions, invoicing and vendor set up.Your expertise:Previous work experience in a Management, Executive Assistant or similar role is essential Sound knowledge of MS Office suite (Excel, Word and PowerPoint) SAP experience is advantageous Strong organisation and attention to detail Good time management and ability to multi-task with competing prioritiesAbility to work both independently and as part of a team with lots of collaborationStrong command of English language, both written and verbalWho we are: We are a team of more than 71,000 highly dedicated Healthineers in more than 70 countries. As a leader in medical technology, we constantly push the boundaries to create better outcomes and experiences for patients, no matter where they live or what health issues they are facing. Our portfolio is crucial for clinical decision-making and treatment pathways.How we work: When you join Siemens Healthineers, you become one in a global team of scientists, clinicians, developers, researchers, professionals, and skilled specialists, who believe in each individual's potential to contribute with diverse ideas. We are from different backgrounds, cultures, religions, political and/or sexual orientations, and work together, to fight the world's most threatening diseases and enable access to care, united by one purpose: to pioneer breakthroughs in healthcare. For everyone. Everywhere. Sustainably. Check our Careers Site atAs an equal opportunity employer, we welcome applications from individuals with disabilities. We care about your data privacy and take compliance with GDPR as well as other data protection legislation seriously. For this reason, we ask you not to send us your CV or resume by email. Please create a profile within our talent community and subscribe to personalized job alert that will keep you posted about new opportunities.To all recruitment agencies: Siemens Healthineers' recruitment is internally managed, with external support permitted only when a qualified supplier has established a formal contract with us. Unsolicited candidate submissions and referrals, absent a current supplier contract, do not establish consent and are ineligible for fees. We delete and destroy unsolicited information, thus, would recommend you refrain from any such practices. Your adherence to our policies is appreciated.Salary: . Date posted: 04/23/2024 08:37 PM