At a Glance
- Tasks: Join a team solving real-world challenges with advanced machine learning and AI techniques.
- Company: Be part of Amazon's innovative Alexa AI team in London.
- Benefits: Grow your skills, work in a dynamic environment, and impact millions globally.
- Other info: Collaborative culture with opportunities for research and experimentation.
- Why this job: Make a real difference in AI technology that enhances customer experiences.
- Qualifications: PhD or Master's in CS, ML, or related field; strong programming skills required.
The predicted salary is between 60000 - 80000 £ per year.
Come join Alexa Artificial Intelligence -- the science team behind Amazon’s intelligent voice assistant. Alexa AI in London is hiring an Applied Scientist who is passionate about applying advanced ML and statistical techniques to solve real-world challenges. This role is part of the Alexa AI Knowledge team, where we research novel machine learning, computer vision and natural language processing algorithms to deliver customer‑facing knowledge services such as multi‑modal question answering at scale. The team runs production services that impact millions of users globally, and researches new methods in question understanding, knowledge extraction, and information enrichment to deliver ground‑breaking advances in accuracy and scale.
You will work in an agile team of scientists and engineers. As a scientist on the team, you will be involved in every aspect of the development lifecycle, from idea generation and scientific research to development and deployment of advanced models. Our ideal candidate is an experienced ML technology scientist who has a track‑record of taking invention to production. You should have a commitment to working with a diverse team as well as great leadership and communication skills. You are passionate about using scientific research to deliver value to customers and are motivated to deliver results in a fast‑paced environment. This position offers an exceptional opportunity to grow your technical and non‑technical skills and make a real difference to Alexa customers.
Key job responsibilities:
- Participate in the design, development, evaluation, and deployment of data‑driven models and analytical solutions for machine learning (ML), natural language applications and/or computer vision.
- Implement and improve modeling tools, training recipes, and prototypes utilizing programming skills in Python, Java or C++.
- Collaborate with software engineering teams to integrate successful experimental results into complex Amazon production systems.
- Work backwards from customer needs and use that information to make trade‑offs between different modeling approaches.
- Report results to technical and business audiences in a manner that is statistically rigorous and compellingly relevant, exemplifying good scientific practice in a business environment.
- Research the latest modeling techniques and stay current with advancements in the field.
- Promote the culture of experimentation and applied science at Amazon.
Basic Qualifications:
- PhD or equivalent Master's Degree in CS, ML or related field.
- Experience of building machine learning models for business application.
- Experience programming in Java, C++, Python or related language.
Preferred Qualifications:
- PhD with specialization in machine learning, natural language processing or computer vision.
- Strong ML background and familiar with standard NLP techniques and/or computer vision.
- Track record of peer reviewed publications.
- Strong software development skills.
- Expertise in at least one more major programming language (C++, Java, or similar) and at least one scripting language (Python, or similar), and one Deep Learning Framework (Pytorch, TensorFlow, MXNet, etc.).
- Experience working effectively with science, data processing, and software engineering teams.
- Excellent written and spoken communication skills.
Machine Learning Scientist, Alexa AI Knowledge employer: Gravity Engineering Services Pvt Ltd.
At Amazon's Alexa AI in London, we pride ourselves on fostering a dynamic and inclusive work culture that encourages innovation and collaboration among our talented team of scientists and engineers. As a Machine Learning Scientist, you will have unparalleled opportunities for professional growth, working on cutting-edge technologies that impact millions of users worldwide while enjoying the benefits of a supportive environment that values diversity and creativity.
Contact Details:
Gravity Engineering Services Pvt Ltd. Recruitment Team
StudySmarter Expert Advice🤫
We think this is how you could land Machine Learning Scientist, Alexa AI Knowledge
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, especially those working at Amazon or in AI. LinkedIn is your best mate here – connect, engage, and don’t be shy to ask for informational chats. You never know who might help you land that interview!
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your machine learning projects, especially those involving NLP or computer vision. Share it on GitHub or your personal website. This gives potential employers a taste of what you can do and sets you apart from the crowd.
✨Tip Number 3
Prepare for technical interviews by brushing up on your coding skills and ML concepts. Practice common algorithms and data structures, and be ready to discuss your past projects in detail. Mock interviews with friends or online platforms can really boost your confidence!
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen. Tailor your CV and cover letter to highlight your relevant experience in ML and your passion for AI. We’re excited to see what you bring to the table!
We think you need these skills to ace Machine Learning Scientist, Alexa AI Knowledge
Some tips for your application 🫡
Tailor Your CV:Make sure your CV is tailored to the Machine Learning Scientist role. Highlight your experience with ML, NLP, and any relevant programming languages like Python or Java. We want to see how your skills match what we're looking for!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Share your passion for AI and how your background aligns with our mission at Alexa AI. Don’t forget to mention any cool projects you've worked on that relate to the job.
Showcase Your Projects:If you’ve got any projects or publications, make sure to include them! We love seeing real-world applications of your work. It gives us insight into your problem-solving skills and creativity in ML.
Apply Through Our Website:We encourage you to apply through our website for the best chance of getting noticed. It’s super easy, and you’ll be able to keep track of your application status. Let’s get your journey started!
How to prepare for a job interview at Gravity Engineering Services Pvt Ltd.
✨Know Your ML Stuff
Make sure you brush up on your machine learning concepts, especially those related to natural language processing and computer vision. Be ready to discuss your past projects and how you've applied advanced ML techniques to solve real-world problems.
✨Showcase Your Coding Skills
Since programming is a big part of this role, be prepared to demonstrate your coding skills in Python, Java, or C++. You might even want to practice some coding challenges beforehand to feel more confident during the technical parts of the interview.
✨Communicate Clearly
You’ll need to report results to both technical and business audiences, so practice explaining complex concepts in simple terms. Think about how you can make your findings compelling and relevant to different stakeholders.
✨Emphasise Team Collaboration
This role involves working closely with diverse teams, so highlight your experience in collaborative environments. Share examples of how you’ve successfully worked with scientists and engineers to integrate experimental results into production systems.
