Machine Learning Engineer, Amazon
Artificial General Intelligence Structured Information Retrieval
The largest online retailer and technology provider
Be an early applicant
The largest online retailer and technology provider
1001+ employees
Be an early applicant
1001+ employees
Company mission
Amazon aims to be Earth’s most customer centric company. Their mission is to continually raise the bar of the customer experience by using the internet and technology to help consumers find, discover and buy anything, and empower businesses and content creators to maximise their success.
Role
Who you are
- Ability to quickly learn cutting-edge technologies and algorithms in the field of ML to participate in our journey to build the best NL to Structured retrieval service
- 3+ years of professional software development experience in distributed systems with emphasis on ML infrastructure
- 3+ years of current programming experience building ML infrastructure using languages such as Python, C++ or Rust
- Hands-on experience with parallel computing platforms such as CUDA, OpenMP, etc
- Deep understanding of AI frameworks such as PyTorch, TensorFlow, and JAX, and their demands on underlying compute infrastructure, memory bandwidth, network interconnect, and storage as scale goes up
- Knowledge of emerging AI hardware accelerators and architectures
- Experience with containerization and orchestration technologies (Docker, Kubernetes)
- 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
- Experience programming with at least one software programming language
Desirable
- 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
What the job involves
- The AGI Structured Information Retrieval team develops the services required to query the Amazon Knowledge Graph (AKG), an LLM-optimized, foundational component in the AGI tech stack, using Natural Language
- As a MLE, you'll have the power to lead the charge in developing algorithms and modeling techniques to push the boundaries of model training and deployment at scale
- You will be working with a strong team of engineers and collaborating with applied scientists to develop novel processes for constructing and enhancing structured information retrieval systems; and enable high precision/recall & low latency access to knowledge in AKG
- Responsible for the development and maintenance of key platforms needed for developing, evaluating and deploying ML models for real-world applications
- Work with other team members to investigate design approaches, prototype new technology and evaluate technical feasibility
- Work closely with Applied scientists to develop and scale machine learning models
Our take
Amazon is the world's largest online retailer, and is well-known for its disruption of well-established industries. The company is present in numerous verticals, including cloud computing with Amazon Web Services, AI with its range of Alexa devices and a global marketplace more commonly referred to as 'the everything store'. Acquisitions include Ring, Twitch, Whole Foods Market, and IMDb.
More recently, Amazon has been focused on leading the "third wave in digital advertising". Many businesses are now shifting ad dollars to retailers, which before would have been spent with online media platforms. Amazon's seen great success in the space, with its revenue from advertising now higher than its Amazon Prime membership scheme, audiobooks and digital music combined. This growth is particularly impressive considering its digital ad rivals (like Snap, Alphabet, and Meta) have suffered declines due to wider macroeconomic factors and Apple's iOS privacy changes.
Despite its dominant market position, Amazon will continue to be challenged over the next decade, including sustaining AWS's cloud dominance in the face of Google and Microsoft. On top of this, the company's e-commerce division is facing profitability problems despite its 2023 post-IPO debt funding of 8 billion. It will need to find new ways to stay above their competitors.
Steph
Company Specialist at Welcome to the Jungle
Insights
Company
Company benefits
- Employees have opportunities to own Amazon stock, participate in 401(k) plans with company match, and enroll in paid life and accident insurance
- Financial counseling and estate planning services are also available, plus paid short-term and long-term disability if needed
- Medical, dental, and vision coverage to all our regular full-time employees, regardless of their level, tenure, or position
- Amazon employees have free access to a network of more than 2 million caregivers, including nannies, babysitters and special-needs caretakers
- Employees receive discounts on certain day care centers, and Amazon provides a variety of free resources for parents of children with autism, ADHD and developmental disabilities
- Adoption assistance for qualified domestic and international adoption expenses including attorney fees, court costs, and travel
- Leave Share program allows employees to give six weeks of paid parental leave to a spouse or partner who isn’t eligible for parental leave from their employer
- Amazon Care's virtual services are available in all 50 states, and in-person care is active in Seattle, Washington, D.C., Arlington, Baltimore, Boston, Dallas, Austin, and Los Angeles, with 20+ more markets coming online in 2022 alone
- 20 weeks of paid leave to birthing mothers and six weeks for parents who adopt
Company values
- Customer obsession rather than competitor focus
- Passion for invention
- Commitment to operational excellence
- Long-term thinking
Company HQ
South Lake Union, Seattle, WA
Articles
Leadership
Jeff Bezos
(Founder & Executive Chairman)Jeff is an American business magnate, media proprietor, and investor. As well as founding Amazon, Jeff founded Blue Origin, an aerospace manufacturer and sub-orbital spaceflight services company and also owns The Washington Post.
Andy Jassy
(President & CEO)Joined Amazon as a Marketing Manager in 1997. Developed AWS with Jeff Bezos, and became CEO of Amazon in 2021.
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