Elemental Technologies LLC
Research Science, Applied Science, Cloud Computing
AppliedScientistIII,AWSElemental
Neural analysis suggests this role is
optimal for Senior candidates.
“Applied Scientist III, AWS Elemental at Elemental Technologies LLC. Skills: Machine Learning, Applied Science, Data Analysis. Build prototypes. Optimize machine learning models”
Industry & Context.
Complex problems; Ambiguous problems
What They're Looking For.
Must Have
5+ years Python, Experience with neural deep learning methods, Experience with machine learning
Nice to Have
Extensive experience developing and deploying large-scale machine learning systems, Expertise in large language models, Deep expertise in modern deep learning frameworks, Deep expertise in production ML systems, AWS certification
What You'll Do.
Optimize machine learning models
Deploy machine learning models
Solve complex challenges
Collaborate with product management
Collaborate with engineers
Collaborate with data scientists
Design customer-focused features
Drive delivery of features
Develop scalable solutions
Participate in code reviews
Participate in model reviews
Improve quality of work
Foster growth in skills
Contribute to operational tooling
Build monitoring solutions
Contribute to publication
How You'll Work.
Team & Collaboration
Across disciplines; Cross-functional teams
Communication Scope
Technical communication; Present complex information
Full Job Description
If you’re curious, empathetic, and passionate about video technologies—and excited about applying innovative machine learning techniques—we want you as a team member! This is a position where you’ll get to be innovative and creative while working on challenging and impactful problems in the video space. You will prototype and integrate advanced models at scale, powering experiences used by customers all over the world, from small start-ups to major broadcasting companies. As a Senior Applied Scientist on the team, you’ll be both a leader and a key technical contributor. A successful candidate has strong expertise in applied science (machine learning, artificial intelligence, data analysis) as well as effective communication and leadership skills, with experience mentoring and collaborating across disciplines. You must have a proven track record of delivering on your team’s most critical and challenging projects and the ability to listen empathetically to differing opinions, building consensus to guide the team toward a deeper understanding of a problem. You’ll need to be able to take ambiguous and complex problems and develop innovative models and algorithms that balance customer needs and timelines with long-term maintainability and scalability. If you’re excited about media services and you want to grow your machine learning and applied science skills in a supportive environment, join our team and help customers get inspiring and compelling video content to their viewers! Key job responsibilities • Building prototypes, optimizing and deploying advanced machine learning models into production to solve complex challenges in video processing, understanding, and content monetization • Collaborating with product management, engineers, and data scientists to design and drive the delivery of new customer-focused features and enhancements • Developing scalable solutions to enhance quality, improve the performance, and resiliency of our video services through data-driven m
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