Bachelor’s degree or equivalent practical experience.
2 years of experience with software development in one or more programming languages, or 1 year of experience with an advanced degree.
1 year of experience with one or more of the following: Speech/audio, reinforcement learning, ML infrastructure, or specialization in another ML field.
1 year of experience with ML infrastructure (e.g., model deployment, data processing).
Nice to haves:
Master's degree or PhD in Computer Science or related technical fields.
2 years of experience with data structures and algorithms.
Experience with deep learning tools (e.g., TensorFlow).
Experience in natural language processing or computer vision.
Experience building scalable data pipelines for machine learning systems.
What you'll be doing:
Design, implement, and deploy improvements to machine learning models for accuracy and coverage.
Build and maintain scalable pipelines for training data curation and model evaluation.
Collaborate with cross-functional teams to implement new model signals in downstream systems.
Contribute to back-end infrastructure to ensure efficient model operations at scale.
Implement solutions in specialized ML areas and optimize models and data processing.
Perks and benefits:
Opportunity to work on cutting-edge technologies.
Be part of a diverse and innovative team.
Collaborate with talented professionals across various fields.