Responsibilities
- Develop machine learning algorithms for high‑scale recommendation problems.
- Rapidly design, prototype and test many possible hypotheses in a high‑ambiguity environment, using both quantitative analysis and business judgement.
- Collaborate with software engineers to integrate successful experimental results into Prime Video‑wide processes.
- Communicate results and insights to both technical and non‑technical audiences, including presentations and written reports.
A day in the life
You will lead the design of machine learning models that scale to very large quantities of data across multiple dimensions. You will embody scientific rigor, designing and executing experiments to demonstrate the technical effectiveness and business value of your methods. You will work alongside other scientists and engineering teams to deliver your research into production systems.
About the team
Our team owns Prime Video observability features for development teams, consuming petabytes of data daily to feed into multiple observability features focused on reducing customer impact time.
Qualifications
- Experience programming in Java, C++, Python or a related language.
- Experience with neural deep learning methods and machine learning.
- Experience building machine learning models for business applications.
- Experience in applied research.
- PhD in a relevant field (engineering, technology, computer science, machine learning, robotics, operations research, statistics, mathematics) or equivalent work experience.
- Experience using managed ML/AI solutions.
- Experience with modeling tools such as R, scikit‑learn, Spark MLLib, MxNet, TensorFlow, NumPy, SciPy, etc.
- Experience with large‑scale distributed systems such as Hadoop and Spark.
Job Details
Location: London, UK, GBR
Salary: £62,259 per year (estimated).
Employment type: Full time
Equal Opportunity Statement
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