Applied Scientist, Prime Video - Content Generation

Amazon • Sunnyvale, CA

12d

About The Position

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 experience.

As a Prime Video team member, 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.

We are looking for an Applied Scientist to push the envelope of AI content
generation. As a scientist at Prime Video, you will contribute directly to
productions using innovative tools in computer vision, deep learning, and
generative AI to transform entertainment experiences. The ideal candidate has
deep knowledge in one of: graphics, deep learning, generative AI and/or
reinforcement learning and experience applying them real-world problems. You
understand tradeoffs between business needs and model complexity, and you take
calculated risks in developing rapid prototypes and iterative model
improvements. You are excited to learn from and alongside seasoned scientists,
engineers, and business leaders. You are an excellent communicator and
effectively translate technical findings into production systems and business
action (and customer delight).

In this role, you will invent science and systems for content localization,
generation, including graphics and machine learning-based modeling systems. You
will work with a team of scientists and product managers to design
customer-facing products, and you will work with technology teams to productize
and maintain the associated solutions.

Requirements

• PhD, or Master's degree and 4+ years of CS, CE, ML or related field experience
• Experience programming in Java, C++, Python or related language
• Experience in any of the following areas: algorithms and data structures, parsing, numerical optimization, data mining, parallel and distributed computing, high-performance computing
• 3+ years of building models for business application experience

Nice To Haves

• Have publications on top-tier conferences, such as CVPR, ICCV, ECCV or NeurIPS

Responsibilities

• Build generative AI models that create production-ready content, including movie content, localized assets, and visual marketing materials used across Prime Video's global platform.
• Drive end-to-end machine learning projects that have a high degree of ambiguity, scale, complexity.
• Build machine learning models, perform proof-of-concept, experiment, optimize, and deploy your models.
• Run experiments, gather data, and perform statistical analysis.
• Establish scalable, efficient, automated processes for large-scale data analysis, machine-learning model development, model validation and serving.
• Research new and innovative machine learning approaches.
• Share knowledge and research outcomes via internal and external conferences and journal publications

Benefits

• Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Education Level: Ph.D. or professional degree