Summary
Hang is seeking a skilled Machine Learning Engineer to join their team. The candidate will design, build, and deploy machine learning models to improve various aspects of Hang's platform, collaborate with other teams, and stay updated with the latest developments in machine learning and AI. The role requires a Bachelor's or Master’s degree in Computer Science, Engineering, Mathematics, or a related field, 5+ years of experience in machine learning and data-related roles, strong programming skills in Python, familiarity with ML frameworks like TensorFlow or PyTorch, and experience with vector databases.
Requirements
- Bachelor's or Master’s degree in Computer Science, Engineering, Mathematics, or a related field
- 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
Responsibilities
- Model Development: Design, build, and deploy machine learning models to improve various aspects of our platform
- Data Analysis: Analyze large datasets to identify trends and patterns
- 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
- 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
Preferred Qualifications
Experience with Ruby is a plus
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
