almost 3 years ago
Remote, United StatesSenior
Responsibilities
- Design, build, and deploy machine learning models for customer personalization, predictive analytics, and automated decision-making.
- Analyze large datasets to identify trends and patterns that inform model development and business strategies.
- Test and refine algorithms to improve accuracy and efficiency.
- Collaborate with software engineers, data scientists, and product managers to integrate ML models into the platform and support seamless deployment.
- Research developments in machine learning and AI and evaluate techniques and technologies for Hang.
- Provide guidance on machine learning best practices and contribute to the strategic direction of the technology.
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 Python programming skills and familiarity with TensorFlow or PyTorch.
- Experience with data processing and data analytics.
- Required experience managing and querying high-dimensional data with vector databases such as Redis, Milvus, Pinecone, Weaviate, Chroma, or Faiss.
- 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.
- Strong problem-solving, communication, and teamwork skills.
- Ruby experience is a plus.
- Passion for consumer brands and loyalty programs is valued.
Benefits
- Top-tier health, vision, and dental insurance, including plans with $0 employee cost.
- Unlimited PTO and sick leave.
- Equity compensation.
- Quarterly company offsites.
Tech Stack
Categories
About Hang
Hang's AI marketing platform is pioneering 1:1 personalization at scale for restaurant brands. Most brands send every guest the same offer. Hang's AI offers engine delivers a true 1:1 offer to each guest instead, sitting on top of your existing stack and going live in weeks. Hang sends millions of personalized offers a month, with every brand seeing lifts in redemption and net revenue while reducing discounts. Brands also use Hang's AI platform for loyalty, data, and other customer-centric marketing solutions.