Applied Scientist

Role Overview

We’re seeking an Applied Scientist to help us develop and optimize advanced machine learning models, algorithms, and AI solutions that will power our platform. In this role, you’ll work closely with data scientists, engineers, and product teams to implement state-of-the-art AI and machine learning technologies that improve service delivery, enhance decision-making, and automate workflows across industries.

This is an exciting opportunity to work on impactful, high-performance systems in a fast-paced, innovative environment.

Responsibilities

• Model Development: Design, implement, and optimize machine learning models, including but not limited to, predictive models, recommendation systems, natural language processing (NLP), and computer vision.
• Algorithm Design: Develop and apply advanced algorithms to solve real-world problems, ensuring they are scalable, efficient, and robust.
• Research & Innovation: Stay up-to-date with the latest AI research and apply new techniques to improve the performance and capabilities of our products.
• Collaboration: Work closely with cross-functional teams (engineering, product, operations) to integrate machine learning models into production environments.
• Data Analysis: Analyze large, complex datasets to extract insights and improve model performance.
• Product Impact: Collaborate with product teams to ensure that AI models and solutions align with user needs, ensuring high-quality, reliable output.
• Model Validation & Testing: Ensure the quality of models through rigorous validation, performance testing, and continual refinement based on real-world data and feedback.

Qualifications

• 3+ years of experience in applied machine learning, data science, or a related field
• Strong proficiency in Python and experience with machine learning libraries such as TensorFlow, PyTorch, or scikit-learn
• Experience with large-scale data processing tools (e.g., Hadoop, Spark) and cloud platforms (e.g., AWS, Google Cloud)
• Experience with NLP, computer vision, or deep learning is a plus
• Strong analytical skills and experience with data preprocessing, model evaluation, and performance tuning
• Knowledge of statistical methods and data analysis techniques
• Ability to work in a collaborative, cross-functional environment
• Excellent communication skills with the ability to explain complex technical concepts to non-technical stakeholders
• PhD or Master’s degree in Computer Science, Engineering, Data Science, or related field (or equivalent experience)