Machine Learning Engineer

Hang is seeking a Machine Learning Engineer in Los Angeles, onsite, to design, implement, and deploy ML models that strengthen the loyalty platform and enable data driven decision making through cross functional collaboration.

Responsibilities

• Design, develop, and deploy machine learning models to enhance customer personalization, predictive analytics, and automated decision making within the loyalty platform.
• Analyze large datasets to uncover trends and patterns that inform model development and business strategy.
• Continuously test and optimize algorithms to improve accuracy and efficiency.
• Collaborate with software engineers, data scientists, and product managers to integrate ML solutions into the platform and ensure smooth deployment.
• Stay current with advances in ML and AI, exploring new techniques and technologies that can benefit Hang.
• Provide technical leadership and contribute to the strategic direction of our machine learning practices.

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 track record 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 model fine tuning processes and methodologies.
• Experience deploying Large Language Models in production, 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.
• Ruby experience 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 with plans that may include zero employee cost.
• Unlimited PTO and sick leave.
• Competitive salary and equity compensation.
• Quarterly company offsites.

About the Role

• We are seeking a skilled and innovative Machine Learning Engineer to join our team and contribute to building and refining models that enhance the platform's capabilities.
• Responsibilities include implementing and developing ML models to support product development and data driven decision making.

What You’ll Do

• Design, build, and deploy machine learning models to improve aspects of the platform such as personalization, analytics, and automated decisions.
• Analyze large datasets to identify trends and inform model development and strategy.
• Iteratively test and refine algorithms to boost accuracy and efficiency.
• Work with software engineers, data scientists, and product managers to integrate ML models and ensure smooth deployment.

Who You Are

• Bachelor's or Master’s degree in Computer Science, Engineering, Mathematics, or a related field; 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 (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 in production, 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.
• Ruby experience is a plus.

What Would Set You Apart

• A passion for consumer brands and loyalty programs.