Machine Learning Engineer

Hang operates a loyalty platform and is looking to elevate its capabilities with advanced machine learning. This onsite role in Los Angeles seeks a seasoned ML Engineer to design, build, and deploy models that enhance personalization, predictive analytics, and automated decisioning, collaborating with cross-functional teams. The aim is to turn data into tangible improvements that guide Hang’s product strategy.

What you’ll do

• Design, build, and deploy machine learning solutions that boost customer personalization, predictive analytics, and automated decisioning across Hang’s platform.
• Analyze large datasets to uncover trends and patterns that inform model development and business strategy.
• Experiment with algorithms and tune them to improve accuracy and efficiency.
• Collaborate closely with software engineers, data scientists, and product managers to integrate models and ensure smooth deployment.
• Stay current with the latest ML and AI developments and explore new techniques and technologies that could benefit Hang.
• Provide technical leadership and contribute to the strategic direction of the technology team by sharing best practices.

Who you are

• A bachelor’s or master’s degree in computer science, engineering, mathematics, or a related field; a PhD is a plus.
• Five or more years of experience in machine learning and data-oriented roles.
• Proven track record as a Machine Learning Engineer or in a similar role.
• Strong Python skills with familiarity in ML frameworks such as TensorFlow or PyTorch.
• Experience with data processing and analytics.
• Hands-on experience with vector databases and managing high-dimensional data; familiarity with Redis, Milvus, Pinecone, Weaviate, Chroma, or Faiss is required.
• Solid knowledge of ML techniques and algorithms, including fine-tuning processes and methodologies.
• Experience deploying Large Language Models in production, with emphasis on optimization and scaling.
• Proficiency with Snowflake, Postgres, RDS, Redis, and AWS.
• Excellent problem-solving skills and ability to thrive in a fast-paced environment.
• Strong communication and teamwork capabilities.
• Ruby experience is a plus.

Technologies

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

Benefits

• Comprehensive health, vision, and dental coverage, including plans with zero employee cost.
• Unlimited paid time off and sick leave.
• Competitive salary plus equity compensation.
• Quarterly company offsites.

About the role

We are seeking a skilled and innovative Machine Learning Engineer to join our team. The role focuses on implementing and advancing machine learning models to enhance the platform, contributing to product development, and enabling data‑driven decision-making.

What would set you apart

• A demonstrated passion for consumer brands and loyalty programs.