Applied Scientist IV

JOB TITLE: Applied Scientist IV
LOCATION: Seattle, WA remote
DURATION: 12 Months
PAY RANGE: $75-$85/hr
TOP 3 SKILLS:

• Machine Learning Platform Experience
• Experience Python
• Background Building Scalable AI Models

Job Description:
The team is looking for a talented Applied Scientist to help invent, design, and deliver cutting-edge science solutions to make it easier for customers to find the next video they will love. In this role, you will have the opportunity to significantly influence the recommendations and personalization behind a new educational media experience. You will be part of a team which designs and implements Client solutions related to item discovery problems with notable academic significance.
You will work with scientists and engineers within the team, and partner with other science, economics, product and business teams across to build a next generation media experience for our customers. You will contribute to the ongoing development of a system which learns from the contents of a video and enables multiple Client video discovery mechanism. There are lots of opportunities to think big and find creative ways to solve a wide set of challenging problems.
Responsibilities:

• Be a technical leader in the scientific development of recommendation system that will enable users to Client new educational items.
• Work within multiple subdomains of the larger problem set (serve recommendations across multiple mediums or item types).
• 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 into production; work closely with software engineers to assist in productionizing your Client models.
• Conduct A/B 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.

Qualifications:

• 4+ years of applied research experience.
• 3+ years of building machine learning models for business application experience.
• Experience in Python.
• PhD, or Master's degree and 6+ years of applied research experience.
• Ability to develop machine learning platform strategy in the subdomain of recommender systems for media and education.
• Experience working on recommender systems such as in e-commerce, advertising, music, video or other fields.
• Extensive knowledge and practical experience in several of the following areas: recommendations, language models, information retrieval, search, relationship representations (embeddings, graph networks), NLP, similarity analysis.

Preferred Skills:

• Experience in building scalable AI/Client models and delivering end-to-end pipelines.
• Experience with machine learning and data science libraries and deep learning frameworks (Numpy, PyTorch, etc)
• Familiarity with software development lifecycles and computer science fundamentals.
• Practical experience in one or more the following focus areas.
• Large language models.
• Document enrichment / text mining.
• Generative adversarial networks.
• Semi supervised / unsupervised learning.
• Automatic speech recognition.
• Client Ops.
• Excellent written and verbal technical communication with an ability to present complex technical information in a clear and concise manner to a variety of audience.

Typical Day:

• A/B experiments
• Establish Processes
• Build Machine-learning Models
• Deploy models into production

Education:

• Masters' Degree or PhD

Specific Background:

• Machine Learning Platform
• Video, Podcast, Media Content Background
• App Development Experience

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