Senior Staff AI Engineer

This is a fully remote position, open to applicants in United States.

📋 Description

• Provides guidance and employs professional concepts to develop solutions for critical issues.

• Train and optimize models utilizing LoRA and other parameter-efficient methods.

• Design, train, and assess multimodal models from the ground up.

• Implement reinforcement learning techniques for model development and enhancement.

• Experience with audio and speech ML tasks such as speaker diarization and speaker identification.

• Deploy, troubleshoot, and manage distributed systems within cloud environments.

• Enhance inference pipelines using tools and strategies like TensorRT, quantization, and pruning.

• Oversee and maintain models in production, addressing data drift and system failures.

• Conduct data collection, cleaning, and curation to create high-quality training and evaluation datasets.

• Comfortable operating within a gated, continuous deployment workflow that mandates unit, component, and integration tests.

• Applies profound knowledge of theories, practices, and design considerations.

• Engages with issues that influence program success or pertains to future concepts and products; implementing solutions necessitates a long-term perspective that affects strategic goals and objectives across multiple functions.

• Exercises considerable latitude in defining objectives and methodologies for critical assignments.

• Familiarity with media management strategies and distribution processes.

• Collaborates closely with Product and Operations teams to design and refine workflows.

• Brings broad expertise and knowledge across highly specialized fields or various related disciplines.

• Contributes to the development of company objectives and principles to achieve overall goals.

• Tackles significant and unique challenges where the analysis of situations or data necessitates evaluating intangibles.

⛳️ Requirements

• Expert-level experience, understanding, and knowledge of digital and broadcast production operations and workflows.

• Over 5 years of experience working with AWS cloud services.

• At least 1 year of experience with Azure cloud.

• Strong awareness of industry trends and best practices.

• Extensive experience with the C4 model and other traditional design artifacts.

• Proven experience working in an Agile environment.

• More than 7 years of experience with programming languages such as Java, Golang, Python, and JavaScript.

• Knowledge of broadcast production or video content management systems.

• Familiarity with client-side web technologies (React, Angular, JavaScript, CSS, HTML).

• Understanding of continuous integration and deployment practices.

• Experience with Docker and Kubernetes is a plus.

• A BS in Computer Science, Electrical Engineering, or equivalent experience is required.

🏝️ Benefits

• Competitive salary and comprehensive benefits package.

• Opportunities for professional development and career growth.

• Collaborative and inclusive work environment.

• Flexible working hours and remote work options.