Machine Learning Engineer optimizing personalization systems for Spotify's audio streaming service. Collaborating with cross - functional teams to enhance user experience and deliver recommendations.
About the role
- Machine Learning Engineer developing NLP and computer vision models at Zefr for analyzing social media posts. Working with advanced AI systems and vector databases in a hybrid environment.
Responsibilities
- Hiring a Machine Learning Engineer focused on algorithm development and implementation of natural language processing and computer vision models.
- Working with state of the art transformer models, large language models and vision language models to build AI systems.
- Collaborating on semantic and image similarity search, leveraging vector databases storing content embeddings to find relevant data.
- Expected to work with all components, balancing cost and quality to develop the best performing classifiers possible.
- Passionate about cutting edge research in machine learning and computer vision, keeping up to date with the field.
Requirements
- Bachelor's or Master's degree in Computer Science or related field
- Strong Data Science background and experience working with data pipelines at scale
- Keeping up with applied research in machine learning and computer vision
- Fluency with Python and SQL (Specifically Snowflake)
- Experience with working with Large language models, vector search and RAG systems
- Strong foundation in data structures, algorithms and software design
- Strong verbal and written communication skills
- Openness to new technologies and creative solutions
Benefits
- Equal opportunity employer that embraces diversity and inclusion in the workplace.
- Commitment to building a team that represents a variety of backgrounds, skills, and perspectives.
Job title
Job type
Experience level
Salary
Not specified
Degree requirement
Tech skills
Location requirements
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