Overview of salaries statistics of the profession "Research Scientist in "

DESCRIPTIONAWS Sales, Marketing, and Global Services (SMGS) is responsible for driving revenue, adoption, and growth from the largest and fastest growing small- and mid-market accounts to enterprise-level customers including public sector. The AWS Global Support team interacts with leading companies and believes that world-class support is critical to customer success. AWS Support also partners with a global list of customers that are building mission-critical applications on top of AWS services.Are you looking to work at the forefront of Machine Learning and AI? Would you be excited to apply cutting edge Generative AI algorithms to solve real world problems with significant impact? The Generative AI Innovation Center at AWS is a new strategic team that helps AWS customers implement Generative AI solutions and realize transformational business opportunities. This is a team of strategists, data scientists, engineers, and solution architects working step-by-step with customers to build bespoke solutions that harness the power of generative AI.The team helps customers imagine and scope the use cases that will create the greatest value for their businesses, select and train and fine tune the right models, define paths to navigate technical or business challenges, develop proof-of-concepts, and make plans for launching solutions at scale. The GenAI Innovation Center team provides guidance on best practices for applying generative AI responsibly and cost efficiently.You will work directly with customers and innovate in a fast-paced organization that contributes to game-changing projects and technologies. You will design and run experiments, research new algorithms, and find new ways of optimizing risk, profitability, and customer experience.We're looking for top architects, system and software engineers capable of using ML, Generative AI and other techniques to design, evangelize, implement and fine tune state-of-the-art solutions for never-before-solved problems.Key job responsibilities- Collaborate with our applied and data scientists to build robust and scalable Generative AI solutions for business problems- Effectively use Foundation Models available on Amazon Bedrock and Amazon SageMaker to meet our customer's performance needs- Work hands on to build scalable cloud environment for our customers to label data, build, train, tune and deploy their models- Interact with customer directly to understand the business problem, help and aid them in implementation of their ML ecosystem- Analyze and extract relevant information from large amounts of historical data to help automate and optimize key processes- Work closely with account teams, applied/data scientist teams, and product engineering teams to drive model implementations and new algorithms- Mentor and develop junior members on the teamAbout the teamDiverse ExperiencesAWS 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 CultureHere 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, inspire us to never stop embracing our uniqueness.Mentorship & Career GrowthWe're continuously raising our performance bar as we strive to become Earth's Best Employer. That's why you'll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional. Work/Life BalanceWe value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there's nothing we can't achieve in the cloud. What if I don't meet all the requirements?That's okay! We hire people who have a passion for learning and are curious. You will be supported in your career development here at AWS. You will have plenty of opportunities to build your technical, leadership, business and consulting skills. Your onboarding will set you up for success, including a combination of formal and informal training. You'll also have a chance to gain AWS certifications and access mentorship programs. You will learn from and collaborate with some of the brightest technical minds in the industry today.We are open to hiring candidates to work out of one of the following locations:Sydney, NSW, AUSBASIC QUALIFICATIONS- Bachelor's degree in computer science or equivalent with 5+ years of relevant working experience- Experience with machine learning fundamentals, with working knowledge of Python and experience with deep learning frameworks such as Pytorch, TensorFlow, JAX or MXNet- 5+ years of relevant experience in developing and deploying large scale machine learning or deep learning models and/or systems into production, including batch and real-time data processingPREFERRED QUALIFICATIONS- Bachelor's degree in computer science or equivalent with 8+ years of relevant working experience, or Master's degree in computer science or equivalent with 5+ years of working experience- Experiences related to machine learning, deep learning, NLP, CV, GNN, or distributed training- Experiences related to AWS services such as SageMaker, EMR, S3, DynamoDB and EC2- Working knowledge of generative AI and hands on experience in prompt engineering, deploying and hosting Large Foundational ModelsAcknowledgement of country:In the spirit of reconciliation Amazon acknowledges the Traditional Custodians of country throughout Australia and their connections to land, sea and community. We pay our respect to their elders past and present and extend that respect to all Aboriginal and Torres Strait Islander peoples today.IDE statement: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 attributes.Salary: . Date posted: 03/21/2024 10:06 PM

DESCRIPTIONAmazon is investing heavily in building a world class advertising business and we are responsible for defining and delivering a collection of self-service performance advertising products that drive discovery and sales. Our products are strategically important to our Retail and Marketplace businesses driving long term growth. We deliver billions of ad impressions and millions of clicks daily and are breaking fresh ground to create world-class products. We are highly motivated, collaborative with an entrepreneurial spirit and bias for action. With a broad mandate to experiment and innovate, we are growing at an unprecedented rate with a seemingly endless range of new opportunities.We're looking for an innovative and customer-obsessed Product Manager who will work backwards from our customers and take our products to the next level. This role will define product vision and drive execution for advertiser recommendations and controls in Sponsored Products. This position will be part of the Demand Identification and Campaign Optimization organization within Sponsored Products. Our team focuses on launching innovative controls that help advertisers provide us with inputs, developing state-of-the art machine learned optimization to represent our advertisers in the ad marketplace, and creating recommenders to help advertisers get started with Sponsored Products. Our systems and algorithms operate on one of the world's largest product catalogs, matching shoppers with advertised products and running the ad auction with a high relevance bar. We strive to improve the ability for advertisers to help shoppers discover relevant products on customer search, browse and detail pages. You will drive our advertiser focused research to lead the way for continuous innovation and shape the future of e-commerce. This is an opportunity to make a significant impact on the future of the Amazon vision.As part of this role, you will engage with advertisers, integrators, and partner teams to help formulate your vision, and define the features, goals and metrics that drive a substantial science and engineering team to turn your vision into product. You will work closely with software engineers and scientists making the right design decisions and trade offs aligned with the product vision and innovate on launching cutting edge machine learning models. You will define and execute on our go to market strategy to drive adoption and success of launching new controls for Sponsored Products advertisers. You will tackle challenging problems and coordinate high profile projects across multiple teams. You will use customer anecdotes to find inspiration, and data analysis to confirm your suspicions. You'll contribute to the organizational planning for one of the largest advertising programs on the planet, present to senior executives, and evangelize your vision and promote wins to build your reputation as a leader.Key job responsibilitiesIn this role, you will:• Obsess over your customers and work backwards to define tenets, customer experiences, long-term goals, focus areas and key metrics• Partner closely with product, engineering, data science, marketing and design leaders to execute on your vision.• Simplify and solve complex, inter-dependent, customer and business opportunities.• Monitor customer feedback, response and metrics; develop plans to support growth and scale the business efficiently; drive continuous solution improvements• Analyze complex data sets; build and create narratives for cross-functional teams• Present technical plans to senior executives and key stakeholders and evangelize the advertiser response vision within Sponsored Products.We are open to hiring candidates to work out of one of the following locations:Toronto, ON, CANBASIC QUALIFICATIONS- 8+ years of technical product or program management experience- 4+ years of end to end product delivery experience- Bachelor's degree- Experience with feature delivery and tradeoffs of a product- Experience owning/driving roadmap strategy and definition- Experience leading engineering discussions around technology decisions and strategy related to a productPREFERRED QUALIFICATIONS- Experience working directly with Engineers on product enhancements- Experience in project management methodologies, business analysis, or process improvement- Experience owning data-centric productsAmazon 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: 03/23/2024 09:19 PM

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