Sr. Applied Scientist, Prime Video - Personalization and Discovery Science

Amazon; Piemonte; In loco; EUR 129.000 - 224.000; Tempo pieno

Descrizione del lavoro

A leading tech company is seeking a Sr. Applied Scientist for Prime Video in Italy. This role involves developing AI solutions for search systems using deep learning and machine learning. Candidates should have a PhD or Master's and several years of applied research experience, along with programming skills in Java, C++, or Python. The position offers competitive compensation and opportunities for growth.

Servizi

Comprehensive benefits

Competitive salary

Equity options

Flexible working hours

Competenze

• PhD, or Master’s degree and 6+ years of applied research experience.
• 5+ years of building machine-learning models for business application experience.
• Experience programming in Java, C++, Python or related language.
• Experience with neural deep learning methods and machine learning.

Mansioni

• Develop AI solutions for Prime Video Search systems.
• Work closely with engineers and product managers.
• Design and conduct experiments to evaluate solutions.
• Effectively communicate ideas with teammates and stakeholders.

Conoscenze

Machine learning

Deep learning

AI programming languages (Java, C++, Python)

Data analysis

Formazione

PhD or Master's degree

Strumenti

R

TensorFlow

scikit-learn

Spark MLLib

Descrizione del lavoro

Sr. Applied Scientist, Prime Video - Personalization and Discovery Science

Job ID: 3061266 | Amazon.com Services LLC

Prime Video is a first‑stop entertainment destination offering customers a vast collection of premium programming in one app available across thousands of devices. Prime members can customize their viewing experience and find their favorite movies, series, documentaries, and live sports – including Amazon MGM Studios‑produced series and movies; licensed fan favorites; and programming from Prime Video add‑on subscriptions such as Apple TV+, Max, Crunchyroll and MGM+. All customers, regardless of whether they have a Prime membership or not, can rent or buy titles via the Prime Video Store, and can enjoy even more content for free with ads. Are you interested in shaping the future of entertainment? Prime Video's technology teams are creating best‑in‑class digital video experiences.

As a Prime Video technologist, you’ll have end‑to‑end ownership of the product, user experience, design, and technology required to deliver state‑of‑the‑art experiences for our customers. You’ll get to work on projects that are fast‑paced, challenging, and varied. You’ll also be able to experiment with new possibilities, take risks, and collaborate with remarkable people.

We’ll look for you to bring your diverse perspectives, ideas, and skill‑sets to make Prime Video even better for our customers. With global opportunities for talented technologists, you can decide where a career at Prime Video Tech takes you!

Key job responsibilities

• Develop AI solutions for various Prime Video Search systems using Deep learning, GenAI, Reinforcement Learning, and optimization methods;
• Work closely with engineers and product managers to design, implement and launch AI solutions end‑to‑end;
• Design and conduct offline and online (A/B) experiments to evaluate proposed solutions based on in‑depth data analyses;
• Effectively communicate technical and non‑technical ideas with teammates and stakeholders;
• Stay up‑to‑date with advancements and the latest modeling techniques in the field;
• Publish your research findings in top conferences and journals.

About the team: Prime Video Search Science team owns science solutions to power the search experience on various devices, from sourcing, relevance, ranking, to name a few. We work closely with engineering teams to launch our solutions in production.

Basic Qualifications

• PhD, or Master’s degree and 6+ years of applied research experience
• 5+ years of building machine‑learning models for business application experience
• Experience programming in Java, C++, Python or related language
• Experience with neural deep learning methods and machine learning

Preferred Qualifications

• 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, Spark, etc.

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

Los Angeles County applicants: Job duties for this position include working safely and cooperatively with other employees, supervisors, and staff; adhering to standards of excellence despite stressful conditions; communicating effectively and respectfully with employees, supervisors, and staff to ensure exceptional customer service; and following all federal, state, and local laws and Company policies. Criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position. Pursuant to the Los Angeles County Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.

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.

Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $150,400/year in our lowest geographic market up to $260,000/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job‑related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign‑on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit https://www.aboutamazon.com/workplace/employee-benefits. This position will remain posted until filled. Applicants should apply via our internal or external career site.