National AI Awards 2025Discover AI's trailblazers! Join us to celebrate innovation and nominate industry leaders.

Nominate & Attend

Senior Software Development - Amazon AWS Computer Vision Science , Gen AI

Amazon
London
1 month ago
Applications closed

Related Jobs

View all jobs

Senior Software Engineer - Machine Learning

Software Engineer

Senior Artificial Intelligence Engineer

Senior Artificial Intelligence Engineer

Senior Artificial Intelligence Engineer

Senior Artificial Intelligence Engineer

Senior Software Development - Amazon AWS Computer Vision Science, Gen AI

Job ID: 2961969 | Amazon Development Center (Tel Aviv)

Amazon is seeking a passionate, talented, and inventive senior Research Engineer with a robust background in AI/machine learning to join our AWS Computer Vision science team. Based in Haifa or Tel Aviv, you’ll be instrumental in advancing technology in Computer Vision, Generative AI, and foundational models. As a key member of the Amazon AWS Bedrock AI science team, your work will directly impact millions by developing algorithms that optimize foundational model inference engines. You’ll have access to Amazon’s vast computing resources and collaborate with a team of experts in a supportive, diverse environment. Your role involves leading software component design, developing evaluation frameworks, and optimizing deep learning models within AWS’s production environment. This position offers the unique opportunity to solve real-world problems and innovate alongside top-tier engineers and applied scientists.

Key job responsibilities

  1. Design and build reference architectures, or train/optimize models that enable science experimentation on complex problems with unknown definition and solution pipelines.
  2. Design and guide the science team's implementation, enabling Science POC that help decide the ultimate science solution strategy, algorithm workflow, and the individual science components that become a release candidate.
  3. Drive best practices in team [code, packaging, compute, deliveries]. Advise and drive implementation for research projects and act as a bridge between science and engineering for eventual productization of new algorithms.
  4. Handle and implement research code for training and evaluation, apply and adapt known science methods.

BASIC QUALIFICATIONS

  • B.Sc. or M.Sc. in Computer Science, Electrical Engineering, or a related field.
  • Proven expertise in AI/ML fields such as Computer Vision, Generative AI, NLP, or foundational models.
  • Experience with deep learning frameworks (e.g., TensorFlow, PyTorch) and familiarity with cloud-based computing platforms.
  • Strong analytical, mathematical, and coding skills (e.g., Python, C++, or Java).

PREFERRED QUALIFICATIONS

  • Experience in developing agents and working with multimodal large language models and foundation models.
  • Experience designing and leading complex research projects from ideation to implementation.
  • Understanding of model optimization, and algorithm development.
  • Excellent communication skills, with the ability to convey complex technical information to diverse audiences.
  • Research publications in peer-reviewed conferences or journals.

Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.

Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.

#J-18808-Ljbffr

National AI Awards 2025

Subscribe to Future Tech Insights for the latest jobs & insights, direct to your inbox.

By subscribing, you agree to our privacy policy and terms of service.

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

Return-to-Work Pathways: Relaunch Your AI Career with Returnships, Flexible & Hybrid Roles

Stepping back into the workplace after a career break can feel like embarking on a whole new journey—especially in a cutting-edge field such as artificial intelligence (AI). For parents and carers, the challenge isn’t just refreshing your technical know-how but also securing a role that respects your family commitments. Fortunately, the UK’s tech sector now boasts a wealth of return-to-work programmes—from formal returnships to flexible and hybrid opportunities. These pathways are designed to bridge the gap, equipping you with refreshed skills, confidence and a supportive network. In this comprehensive guide, you’ll discover how to: Understand the booming demand for AI talent in the UK Leverage transferable skills honed during your break Overcome common re-entry challenges Build your AI skillset with targeted training Tap into returnship and re-entry programmes Find flexible, hybrid and full-time AI roles that suit your lifestyle Balance professional growth with caring responsibilities Master applications, interviews and networking Whether you’re returning after maternity leave, eldercare duties or another life chapter, this article will equip you with practical steps, resources and insider tips.

LinkedIn Profile Checklist for AI Jobs: 10 Tweaks That Triple Recruiter Views

In today’s fiercely competitive AI job market, simply having a LinkedIn profile isn’t enough. Recruiters and hiring managers routinely scout for top talent in machine learning, data science, natural language processing, computer vision and beyond—sometimes before roles are even posted. With hundreds of applicants vying for each role, you need a profile that’s optimised for search, speaks directly to AI-specific skills, and showcases measurable impact. By following this step-by-step LinkedIn for AI jobs checklist, you’ll make ten strategic tweaks that can triple recruiter views and position you as a leading AI professional. Whether you’re a fresh graduate aiming for your first AI position or a seasoned expert targeting a senior role, these actionable changes will ensure your profile stands out in feeds, search results and recruiter queues. Let’s dive in.

Part-Time Study Routes That Lead to AI Jobs: Evening Courses, Bootcamps & Online Masters

Artificial intelligence (AI) is reshaping industries at an unprecedented pace. From automating mundane tasks in finance to driving innovation in healthcare diagnostics, the demand for AI-skilled professionals is skyrocketing. In the United Kingdom alone, AI is forecast to deliver over £400 billion to the economy by 2030 and generate millions of new jobs across sectors. Yet, for many ambitious professionals, taking time away from work to upskill can feel like an impossible ask. Thankfully, part-time learning options have proliferated: evening courses, intensive bootcamps and flexible online master’s programmes empower you to learn AI while working. This comprehensive guide explores every route—from short tasters to deep-dive MScs—showcasing providers, course formats, funding options and practical tips. Whether you’re a career changer, a busy manager or a self-taught developer keen to go further, you’ll discover a pathway to fit your schedule, budget and goals.