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- Tasks: Drive startup innovation with cutting-edge Generative AI solutions and collaborate with world-leading startups.
- Company: Join AWS, the leading cloud platform, known for its innovative culture and diverse team.
- Benefits: Enjoy flexible work-life balance, mentorship opportunities, and a competitive salary.
- Why this job: Make a real impact in the fast-paced world of Generative AI and help startups thrive.
- Qualifications: PhD or Master's degree with extensive experience in applied research and Generative AI technologies.
- Other info: Inclusive culture that values diverse experiences and encourages continuous learning.
The predicted salary is between 48000 - 84000 £ per year.
Do you have deep technical GenAI background in the Startup space? Are you looking to work with world leading startups at the forefront of Generative AI? Join the Generative AI Innovation and Delivery Team (GenAIID) Startup Organization!
The Generative AI Innovation and Delivery mission is to drive startup innovation by making AWS the preferred GenAI Platform for startups to experiment, build and scale their products. We are a team of strategists, scientists, engineers, and architects working closely with the world’s leading startups across GenAI model providers, GenAI tooling and applications. We partner closely with startups to address their GenAI infrastructure needs, evolve their GenAI product and infuse GenAI into their existing SaaS applications. In this process we provide guidance on best practices for applying generative AI responsibly and cost efficiently.
You will work directly with startups 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 Applied Scientists passionate about helping startups use GenAI and other techniques to design, evangelize, and implement state-of-the-art solutions for never-before-solved problems.
Key job responsibilities- Collaborate with AI/ML scientists and engineers to research, design, develop, and evaluate generative AI solutions to address real-world opportunities.
- Interact with customers directly to understand their business problems, aid them in implementation of generative AI solutions, brief customers and guide them on adoption patterns and paths to production.
- Help customers optimize their solutions through approaches such as model selection, training or tuning, right-sizing, distillation, and hardware optimization.
- Develop a deep understanding of startups GenAI ecosystem and their evolving technical needs to drive improvements to startups program and resulting customer experience.
- Provide customer and market feedback to product and engineering teams to help define product direction.
- Unlock scale by identifying patterns and establishing reusable assets to accelerate customer impact of future engagements.
AWS 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.
Basic Qualifications- PhD, or Master’s degree and 6+ years of applied research experience.
- 5+ years of hands-on experience with Python to build, train, and evaluate models.
- 5+ years of experience in any of the following areas: algorithms and data structures, parsing, numerical optimization, data mining, parallel and distributed computing, high-performance computing.
- 2+ years of experience with design, development, and optimization of generative AI solutions, algorithms, or technologies.
- Experience in patents or publications at peer-reviewed conferences or journals.
- Experience working in a startup or with startup customers.
- Experience with design, deployment, and evaluation of Large Language Model (LLM)-powered agents and tools and orchestration approaches.
- Hands-on experience with model customization techniques such as fine-tuning, continued pre-training, and LLM-as-judge evaluation.
- Experience with optimization of models on GPUs, Amazon Silicon, or TPUs, also experience with open source frameworks for building applications powered by LLMs like LangChain, LlamaIndex, and/or similar tools.
- Experience building generative AI applications on AWS using services such as Amazon Bedrock and Amazon SageMaker.
Amazon is an equal opportunities employer. We believe passionately that employing a diverse workforce is central to our success. We make recruiting decisions based on your experience and skills. We value your passion to discover, invent, simplify and build.
Startups Sr. Applied Scientist, Generative AI Innovation & Delivery Team in Slough employer: Amazon Web Services (AWS)
Contact Detail:
Amazon Web Services (AWS) Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Startups Sr. Applied Scientist, Generative AI Innovation & Delivery Team in Slough
✨Tip Number 1
Network like a pro! Reach out to people in the startup scene, especially those working with generative AI. Attend meetups, webinars, or even just grab a coffee with someone in the field. You never know who might have a lead on your dream job!
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects related to generative AI. Whether it's a GitHub repo or a personal website, having tangible examples of your work can really set you apart from the crowd.
✨Tip Number 3
Prepare for interviews by diving deep into the latest trends in generative AI. Be ready to discuss how you've tackled real-world problems and how you can help startups innovate. Practice common interview questions and think about how your experience aligns with the role.
✨Tip Number 4
Don't forget to apply through our website! We love seeing candidates who are genuinely interested in joining our team. Tailor your application to highlight your passion for generative AI and how you can contribute to our mission at AWS.
We think you need these skills to ace Startups Sr. Applied Scientist, Generative AI Innovation & Delivery Team in Slough
Some tips for your application 🫡
Show Off Your Skills: Make sure to highlight your technical expertise in generative AI and any relevant experience with startups. We want to see how your background aligns with the role, so don’t hold back on showcasing your achievements!
Tailor Your Application: Take a moment to customise your application for this specific role. Use keywords from the job description to demonstrate that you understand what we’re looking for and how you can contribute to our team.
Be Authentic: Let your personality shine through! We value diverse experiences and want to get to know the real you. Share your passion for generative AI and how it drives you to innovate and solve problems.
Apply Through Our Website: Don’t forget to submit your application through our website! It’s the best way for us to receive your details and ensure you’re considered for this exciting opportunity with the Generative AI Innovation and Delivery Team.
How to prepare for a job interview at Amazon Web Services (AWS)
✨Know Your GenAI Stuff
Make sure you brush up on your generative AI knowledge. Understand the latest trends, algorithms, and tools in the GenAI space. Be ready to discuss how you've applied these in real-world scenarios, especially in startup environments.
✨Showcase Your Collaboration Skills
This role involves working closely with AI/ML scientists and engineers. Prepare examples of past collaborations where you’ve successfully tackled complex problems together. Highlight your ability to communicate technical concepts clearly to non-technical stakeholders.
✨Understand the Startup Ecosystem
Familiarise yourself with the challenges startups face when implementing generative AI solutions. Be prepared to discuss how you can help them optimise their products and processes. Showing that you understand their unique needs will set you apart.
✨Prepare for Technical Questions
Expect deep technical questions related to Python, model optimisation, and generative AI technologies. Brush up on your coding skills and be ready to solve problems on the spot. Practising with mock interviews can really help you feel more confident.
