Machine Learning Engineer

Company Description

Recordly is the world's first unified audio and video intelligence platform, aiming to break down language barriers and make multimedia content universally accessible. The innovative solutions have garnered recognition, including Product of the Year in the AI/ML category at NAB Show 2024. Recordly empowers businesses and individuals in diverse industries to enhance efficiency and connectivity.

Role Description

This is a full-time remote role for a Machine Learning Engineer at Recordly.AI. The Machine Learning Engineer will be responsible for tasks such as pattern recognition, implementing neural networks, analyzing statistics, and developing algorithms to enhance the audio and video intelligence platform.

Qualifications

• Strong background in Computer Science
• Experience with Pattern Recognition and Neural Networks
• Proficiency in Statistics and Algorithms
• Ability to work with complex data sets and analyze patterns
• Excellent problem-solving and analytical skills
• Knowledge of machine learning frameworks and libraries
• Advanced degree in Computer Science, Data Science, or related field

What We Offer

• Flexible Remote Work: Enjoy the freedom of working from anywhere, with a schedule that fits your lifestyle.
• Growth Opportunities: Be part of a rapidly growing AI-driven company where your contributions directly impact global success.
• Learning and Development: Access to learning resources and opportunities to stay at the forefront of industry trends.
• Collaborative Environment: Work with a passionate and diverse team dedicated to innovation and breaking language barriers.
• Competitive Compensation: We offer competitive salaries and performance-based bonuses to reward your hard work and dedication. (USD based)
• Tech-Savvy Workspace: Utilize cutting-edge tools and AI-driven solutions to enhance your work efficiency.
• Inclusive Culture: Join an inclusive, forward-thinking company that celebrates diversity and empowers every voice to be heard.

Join us now!