Data Scientist

Artlist is a leading creative technology company on a mission to empower creators and brands to bring their vision to life with video. Offering cutting-edge AI tools and models for image, video, and voiceover creation, alongside high-quality creative assets and powerful editing tools, Artlist enables creators to stay on trend, and achieve their creative goals. Trusted by over 30 million creators worldwide and top brands including Google, Amazon, Microsoft, and Versace, Artlist provides a seamless, subscription-based platform with a global license, giving creators everything they need to produce professional video content efficiently. For more information, visit artlist.io.

We are seeking a passionate and Data Scientist to join our dynamic team. This role is ideal for someone who is product-oriented, thrives in a fast-paced environment, and is focused on delivering tangible value to our users. The ideal candidate will bring a blend of technical expertise, creativity, and a love for music and art to our team.

Wake up for this:

Design, develop, and deploy machine learning algorithms from inception to production, leveraging machine and deep learning frameworks
Build tools and infrastructure for the team, mentor team members
Work collaboratively with product managers to define problems, identify solutions, and iterate on feedback to refine those solutions.
Deliver end-to-end machine learning-based features at a rapid pace, ensuring high-quality and impactful user experiences.
Engage in research and application of cutting-edge technologies, including Multimodal models, and large language models (LLMs), to drive innovation within our platform.
Contribute to developing recommender systems and search functionalities, enhancing user engagement and satisfaction.

Requirements:

At least 4 years of experience as a Data Scientist, with a proven track record of delivering machine learning algorithms to production.
Hands on experience with recommendation system development
Extensive knowledge of ML disciplines and algorithms - able to manage research in a large scale
Excellent programming skills in Python, SQL
Proficient in PyTorch, GPU computing, Scikit-learn, or other ML frameworks
Familiar with cloud services such as Amazon SageMaker and Vertex AI pipelines, as well as architecting solutions
Experience in developing recommender systems, search algorithms - a plus
Experience with multimodal models - a plus
Creativity and a passion for music and art - a plus
Excellent teamwork skills, with experience working closely with product managers and other stakeholders to deliver user-centric solutions.
A team player who is also self-sufficient, able to work independently as well as part of a diverse team.