Machine Learning Engineer

Hang is seeking a Machine Learning Engineer to design, build, and deploy models that enhance our loyalty platform and drive data driven decisions.

Responsibilities

• Design, build, and deploy machine learning models to improve customer personalization, predictive analytics, and automated decision making on Hang's platform.
• Analyze large datasets to identify trends and inform model development and business strategies.
• Continuously test and refine algorithms to boost accuracy and efficiency.
• Collaborate with software engineers, data scientists, and product managers to integrate ML models into the platform and ensure seamless deployment.
• Stay up to date with the latest developments in machine learning and AI, and explore new techniques and technologies that could benefit Hang.
• Provide insights and guidance on best practices in machine learning and contribute to the technology strategy.

Requirements

• Bachelor's or Master's degree in Computer Science, Engineering, Mathematics, or a related field; PhD 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 such as TensorFlow or PyTorch.
• Experience with data processing and data analytics.
• Experience with vector databases and managing high dimensional data; familiarity with Redis, Milvus, Pinecone, Weaviate, Chroma, or Faiss is required.
• Knowledge of machine learning techniques and algorithms, including fine tuning processes and methodology.
• Experience 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.
• Experience with Ruby is a plus.

Technologies

• Python
• TensorFlow
• PyTorch
• Redis
• Milvus
• Pinecone
• Weaviate
• Chroma
• Faiss
• Snowflake
• Postgres
• RDS
• AWS
• Ruby

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

What would set you apart

• You have a passion for consumer brands and loyalty programs.