Hang - Machine Learning Engineer
Requirements
• Bachelor's or Master’s degree in Computer Science, Engineering, Mathematics, or a related field. A Ph.D. is a plus. • 5+ years of experience in machine learning and data related roles. • 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. • Experience with vector databases, demonstrating proficiency in managing and querying high-dimensional data. Familiarity with popular vector databases like Redis, Milvus, Pinecone, Weaviate, Chroma or Faiss is required. • Knowledge of machine learning techniques and algorithms, including fine tuning processes and methodology. • Experience in deploying Large Language Models (LLMs) in production environments, including optimization and scaling considerations. • Experience with snowflake, Postgres, RDS, Redis and AWS. • Excellent problem-solving skills and ability to work in a fast-paced environment. • Strong communication skills and ability to work well in a team. • What Would Set You Apart • You have a passion for consumer brands and loyalty programs.
Responsibilities
• 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. • Model Development: • Data Analysis: Analyze large datasets to identify trends and patterns, and use this information to inform model development and business strategies. • Data Analysis: • Algorithm Optimization: Continuously test and refine algorithms to improve accuracy and efficiency. • Algorithm Optimization: • Collaborative Development: Work closely with software engineers, data scientists, and product managers to integrate ML models into our platform and ensure seamless deployment. • Collaborative Development: • 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. • Research and Innovation: • Technical Leadership: Provide insights and guidance on best practices in machine learning, and contribute to the strategic direction of our technology. • Technical Leadership:
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
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