Machine Learning Engineer

November 15, 2023

Hang

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Building the future of membership and loyalty for brands

2 - 10

Description

• Model Development: Design, build, and deploy machine learning models to improve various aspects of our platform, including customer personalization, predictive analytics, and automated decision-making. • Data Analysis: Analyze large datasets to identify trends and patterns, and use this information to inform model development and business strategies. • Algorithm Optimization: Continuously test and refine algorithms to improve accuracy and efficiency. • Collaborative Development: Work closely with software engineers, data scientists, and product managers to integrate ML models into our platform and ensure seamless deployment. • Research and Innovation: Stay up-to-date with the latest developments in machine learning and AI, and explore new techniques and technologies that could benefit Hang. • Technical Leadership: Provide insights and guidance on best practices in machine learning, and contribute to the strategic direction of our technology.

Requirements

• Bachelor's or Master’s degree in Computer Science, Engineering, Mathematics, or a related field. A Ph.D. is a plus. • Proven experience as a Machine Learning Engineer or in a similar role. • Strong programming skills in Python and familiarity with ML frameworks (like TensorFlow or PyTorch). • Experience with data processing and data analytics. • Knowledge of machine learning techniques and algorithms. • Excellent problem-solving skills and ability to work in a fast-paced environment. • Strong communication skills and ability to work well in a team. • You have a passion for consumer brands and loyalty programs.

Benefits

• Top-tier health, vision, and dental insurance, including plans with $0 employee cost. • Unlimited PTO / sick leave • Competitive salary & equity compensation. • Quarterly company offsites