

Key job responsibilities
Design, develop, evaluate and deploy, innovative and highly scalable ML models
Establish scalable, efficient, automated processes for large scale data analyses, model development, model validation and model maintenanceLeading projects and mentoring other scientists, engineers in the use of ML techniques
- 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
- Experience in state-of-the-art deep learning models architecture design and deep learning training and optimization and model pruning
- Experience applying theoretical models in an applied environment
משרות נוספות שיכולות לעניין אותך

We're seeking an experienced Senior Software Development Manager to lead the onboarding team that is critical for developing capabilities that support 1.5 B documents per month across 100+ partner team on the document generation platform. In this role, you will lead the definition, and shepherd the development, of new features as well as important optimizations to the service. This role is a good fit for someone who thrives in a dynamic environment, is technical, who can work with multiple tech stakeholders to drive consensus towards long term tech product strategy.Key job responsibilities
• Lead and scale multiple engineering teams across complex, interdependent systems
• Drive innovation through AI, identifying and solving operational problems that unlock value to the customer
• Partner with senior leadership across Product, UX, and Engineering to align on strategic priorities and resource allocation
• Establish engineering excellence standards, operational metrics, and continuous improvement practices across teams
• Present technical strategy and progress to VP-level stakeholders with clarity and executive presenceA day in the life
Review and provide strategic guidance on major architectural decisions and system design proposals
· Mentor engineering managers and senior engineers on technical leadership and career development
· Communicate engineering progress and strategic recommendations to senior leadership
· Connect with tech partners to identify process/operational/tooling gap to identify opportunities to self-serve
· Partner with peers to negotiate resource allocation and coordinate large-scale initiatives
- 10+ years of engineering experience
- 5+ years of engineering team management experience
- 10+ years of planning, designing, developing and delivering consumer software experience
- Experience partnering with product or program management teams
- Experience managing multiple concurrent programs, projects and development teams in an Agile environment

Key job responsibilities
• Lead complex, high-visibility technical programs that power the world's most comprehensive digital video studios technology organization
• Drive architectural decisions and technical strategy for next-generation studios businesses from Sales, Distribution and Studios Marketing Technology
• Partner with engineering teams to build scalable solutions that handle massive amounts of global content data
• Collaborate with MGM Studios, Prime Video leadership, and cross-functional teams to deliver innovative entertainment experiences
• Mentor and develop other engineers while raising the bar for operational and engineering excellenceImpact You'll Own:
• Shape the technical foundation that brings award-winning content to viewers worldwide
• Design and implement systems that seamlessly handle complex content relationships across multiple dimensions (regions, languages, licensing, etc.)
• Drive operational excellence initiatives that scale across Amazon's global entertainment ecosystem • Lead programs that integrate MGM's iconic content library with Amazon's streaming technologyWhat You Bring:
• Deep technical expertise in large-scale distributed systems and architecture
• Proven track record leading complex technical programs with multiple stakeholders
• High Bar in driving operational and engineering excellence, strategic thinking and tactical execution
• Strong communication skills and ability to influence senior leadership and other engineering teams across broader organization.
• Experience scaling teams and mentoring other engineers to force multiple.
- 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
- 3+ years of Video Games Industry (supporting title Development, Release, or Live Ops) experience
- Experience programming with at least one software programming language
- 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 equivalent

Key job responsibilities
1. Demonstrate flexibility to work within different queues, with increased complexity or specialization based on current business needs
2. Perform quality audits for BAP team and handle escalations
3. Provide support as and when required for overtime, deep dives, mentoring new batches, escalations and cross training
4. Ensure compliance with procedures and SLAs while achieving quality and performance metrics (Meet or exceed all Goals). Work on the Core queues and willing to switch between different functions as per business requirement.
5. Work on projects that design/improve tools or processes by testing and/or develops recommendations for management
6. Communicate effectively both in verbal and written form on all investigative matters8. Support new hires or focus group investigators in the team to help them meet require performance standards
- Master's degree, or PMP

Key job responsibilities
Advise senior manager and directors on technical direction for the organizationsBreak down complex software project into parallel work that can be performed by you and other SDEs and then reassembled successfully into a cohesive launchParticipate in the hiring process as well as mentor others - improving their skills, their knowledge of your software, and their ability to get things done.
- 10+ years of non-internship professional software development experience
- 10+ years of programming with at least one software programming language experience
- 8+ years of leading design or architecture (design patterns, reliability and scaling) of new and existing systems experience
- Experience as a mentor, tech lead or leading an engineering team
- 10+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience
- Knowledge of computer science fundamentals in object-oriented design

- 5+ years of non-internship professional software development experience
- 5+ years of programming with at least one software programming language experience
- 5+ years of leading design or architecture (design patterns, reliability and scaling) of new and existing systems experience
- 5+ 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 equivalent

Join us in revolutionizing the future of Living Room device testing at Prime Video. Living Room Device Services (LRDS) enables automated testing across 800+ living room device types globally through our Device Farm infrastructure, providing programmatic control and remote access for Amazon teams worldwide. You'll develop AI-powered tools and AWS-based solutions that simplify test debugging, device access, and performance evaluation across our distributed device ecosystem.You'll be at the forefront of building solutions for our Device Farm - a unique and sophisticated platform that enables automated testing across more than 800 devices across the hyper fragmented Living Room EcoSystem.Your impact will extend beyond just writing code - you'll be the bridge between our Device Farm customers and innovation, gathering valuable feedback and transforming it into enhanced features. Working with AWS technologies, you'll orchestrate a robust ecosystem of physical devices and virtual emulators, ensuring Prime Video delivers exceptional experiences to our Living Room Customers.
- 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
- 3+ years of Video Games Industry (supporting title Development, Release, or Live Ops) experience
- Experience programming with at least one software programming language
- 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 equivalent

Key job responsibilities
Design, develop, evaluate and deploy, innovative and highly scalable ML models
Establish scalable, efficient, automated processes for large scale data analyses, model development, model validation and model maintenanceLeading projects and mentoring other scientists, engineers in the use of ML techniques
- 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
- Experience in state-of-the-art deep learning models architecture design and deep learning training and optimization and model pruning
- Experience applying theoretical models in an applied environment
משרות נוספות שיכולות לעניין אותך