Machine Learning Engineer

Located in Silicon Valley and Seoul, LOVO is a next-gen AI voice company providing a content creation platform powered by state-of-the-art Text to Speech, Text to Image, Text to Music, and other Generative AI technologies. With LOVO, you don’t need thousands of dollars and years of creative experience to create the content for your e-learning, marketing, and entertainment needs.

Through cutting edge R&D, we aim to elevate generative AI technology to the next level, thereby creating brand new auditory experiences for the end-user.

LOVO's team is multicultural, global, and diverse. Each and every member is an expert in their field, with full ownership of their work and pride+reward that follows, hailing from US, UK, Turkey, Vietnam, Japan, Hong Kong, France, Brazil, and South Korea. We are backed by amazing investors like Kakao, LG, Hashed, Goodwater Capital, Hustle Fund, SkyDeck Accelerator, Yat Siu (Founder of Animoca Brands), Holly Liu (Founder of Kabam), Ray Chan (Founder of 9GAG), and Patrick Lee (Founder of Rotten Tomatoes), with a total of near $7m in funds raised.

Position Overview:

We are seeking a highly skilled and motivated Computer Vision Engineer to join our dynamic team. The ideal candidate will have a strong background in computer vision, machine learning, and image processing. As a Computer Vision Engineer, you will be responsible for developing and implementing cutting-edge computer vision algorithms to solve challenging real-world problems. This is not a pure research position, instead is focused heavily on iterative development for productization.

Key Responsibilities:

• Algorithm Development: Design, develop, and implement state-of-the-art computer vision algorithms for tasks such as talking avatar video and image enhancement.
• Research & Innovation: Stay up-to-date with the latest advancements in computer vision and machine learning, and apply this knowledge to drive innovation within the team.
• Prototyping & Experimentation: Rapidly prototype new ideas and experiments, rigorously test hypotheses, and iterate based on results.
• Performance Optimization: Optimize and fine-tune algorithms. Enhance inference infrastructure to reduce costs and latency.
• Documentation & Reporting: Document research findings, algorithms, and software implementations.

Qualifications:

• Bachelor’s or Master’s degree in Computer Science, Electrical Engineering, or a related field.
• 3+ years of experience in computer vision, machine learning, or a related field.
• Proficiency in programming languages such as Python, C++. Experience with computer vision libraries and frameworks such as OpenCV, PyTorch, or similar.
• Strong understanding of machine learning algorithms and deep learning techniques.
• Experience with image and video processing techniques. Familiarity with software development tools and practices (Git, CI/CD, etc.).

Significant Plus:

• Familiarity with the latest talking avatar video techniques
• Published papers on computer vision