The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits.
USA, WA, Seattle - 142,800.00 - 193,200.00 USD annually
Responsibilities
Innovate with the latest GenAI/LLM/VLM technology to build highly automated solutions for efficient risk evaluation and automated operations
Design, develop and deploy end-to-end machine learning solutions in the Amazon production environment to create impactful business value
Learn, explore and experiment with the latest machine learning advancements to create the best customer experience
Requirements
PhD, or Master's degree and 4+ years of CS, CE, ML or related field experience
Nice to have: leading large-scale AI transformation projects
Nice to have: strong publication record in top-tier conferences/journals such as CVPR, NeuIPS, ICML, ACL, EMNLP
health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage)
Build data‑intensive, AI‑powered applications and infrastructure for child safety, enabling operators and investigators to work effectively and responsibly.
Responsibilities
Prototype, build, and maintain intelligence systems that detect, triage, and enable efficient human review of possible high severity harm
Work hand in hand with operators and investigators, designing and delivering systems that enable them to do their work faster, more accurately, and more safely
Develop across the stack: UIs, services, pipelines, and anything else required to solve the problems we face
Interact with partners across Product Policy, Platform Integrity, Safety Systems, and Research
Contribute to the team’s technical strategy, especially for child safety related tools and systems
Requirements
Nice to have: child-safety-specific challenges
Nice to have: secure handling of quarantined content
Build data-intensive, AI-powered applications and infrastructure that enable operators and investigators to work effectively and responsibly regarding child safety tools.
Responsibilities
Prototype, build, and maintain intelligence systems that detect, triage, and enable efficient human review of possible high severity harm
Work hand in hand with operators and investigators, designing and delivering systems that enable them to do their work faster, more accurately, and more safely
Develop across the stack: UIs, services, pipelines, and anything else required to solve the problems we face
Interact with partners across Product Policy, Platform Integrity, Safety Systems, and Research
Contribute to the team’s technical strategy, especially for child safety related tools and systems
Requirements
Nice to have: prior knowledge of child-safety-specific challenges
Nice to have: secure handling of quarantined content
Design, implement, and optimize control systems for phased array antennas, including algorithms for calibration, beamforming, signal processing, and high-rate data processing.
Responsibilities
Design and develop control software for antenna systems
Implement algorithms for calibration, beamforming, and localization
Develop high-rate data processing pipelines
Create APIs, databases, and IPC mechanisms
Simulate and verify software for test and validation
Requirements
Bachelor's degree in Computer Science, Computer Engineering, Electrical Engineering, Math, Physics, or related discipline
Nice to have: Strong problem-solving abilities
Nice to have: Excellent communication and collaboration skills
Nice to have: High mathematical maturity
Nice to have: Experience with automated testing frameworks
Senior software engineer focused on building Kubernetes operators and addons for Ubuntu platform.
Locations (2)
EMEA
Americas
Compensation
We consider geographical location, experience, and performance in shaping compensation worldwide. We revisit compensation annually (and more often for graduates and associates) to ensure we recognise outstanding performance. In addition to base pay, we offer a performance-driven annual bonus.
Responsibilities
Write high-quality code to create new features
Debug issues and interact with a vibrant community
Collaborate proactively with a distributed team
Mentor, develop, and advise colleagues on their career progression
Work closely with other leads, assuming joint responsibility for outcomes at the team, department, and company level
Requirements
Bachelor’s in Computer Science, STEM or similar degree
Engineering leaders to work across the Ubuntu Engineering organisation, focusing on quality, performance, and resilience while building high performing teams.
Compensation
We consider geographical location, experience, and performance in shaping compensation worldwide.
Responsibilities
Leading teams in elevating the Linux developer and user experience
Designing, building and shipping high quality, performant software in Rust, Go and Python
Demonstrating sound engineering principles through architecture, development and code reviews
Taking responsibility for planning, estimation and execution
Working with product management to define the vision and strategy for Ubuntu
Requirements
Undergraduate degree in Computer Science or STEM
Nice to have: Experience contributing to or leading open source projects
Nice to have: Linux distributions/distribution engineering
Nice to have: Software packaging and distribution mechanisms
A remote engineering role focused on Linux-based infrastructure and applications, covering bare metal, virtualization, containerization, storage, and cloud stacks.
Compensation
performance-driven annual bonus
Responsibilities
Resolve complex customer problems related to Ubuntu, Kernel, Ceph, OpenStack, or Kubernetes and other open source software
Maintain a close working relationship with Canonical's Field, Support and product engineering teams
Participate in upstream communities
Develop bug fixes, backport patches, and work with upstream for inclusion
Lead development and maintenance of Ubuntu Linux kernel firmware components, including BIOS, UEFI, ACPI, and related boot processes.
Compensation
We consider geographical location, experience, and performance in shaping compensation worldwide. We revisit compensation annually (and more often for graduates and associates) to ensure we recognize outstanding performance. In addition to base pay, we offer a performance-driven annual bonus or commission.
Responsibilities
Collaborate with a globally distributed team
Work closely with PC platform enablement team and vendors to resolve BIOS/UEFI/ACPI issues
Become a primary contributor and maintainer to the Firmware Test Suite (FWTS)
Improve tooling and automation for comprehensive verification of Ubuntu Linux on x86 platforms
Submit, review, and apply kernel patches with upstream maintainers
The role is remote, with positions available in all time zones. It includes a requirement for global travel for twice per year.
Compensation
We consider geographical location, experience, and performance in shaping compensation worldwide. In addition to base pay, we offer a performance-driven annual bonus.
Responsibilities
Lead multiple teams of engineers, ranging from graduate to senior
Develop your engineering managers and maintain Canonical culture
Hire staff level engineers for specific roles like performance and quality
Coach, mentor, and offer career development feedback
Identify and measure indicators of team health and productivity
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