almost 3 years ago
Remote, United StatesSenior
Responsibilities
- Design, build, and deploy machine learning models for personalization, predictive analytics, and automated decision-making.
- Analyze large datasets to identify trends and 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 and deploy ML models.
- Research emerging machine learning and AI techniques and technologies.
- Provide technical guidance on machine learning best practices and contribute to technology strategy.
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 programming skills in Python and familiarity with TensorFlow or PyTorch.
- Experience with data processing, data analytics, and vector databases.
- Proficiency managing and querying high-dimensional data, with familiarity with Redis, Milvus, Pinecone, Weaviate, Chroma, or Faiss required.
- Knowledge of machine learning techniques, algorithms, and fine-tuning processes.
- Experience deploying, optimizing, and scaling Large Language Models in production.
- Experience with Snowflake, Postgres, RDS, Redis, and AWS.
- Strong problem-solving, communication, collaboration, and teamwork skills.
- Ruby experience is a plus.
- Passion for consumer brands and loyalty programs is a differentiator.
Benefits
- Top-tier health, vision, and dental insurance, including plans with $0 employee cost.
- Unlimited PTO and sick leave.
- Competitive salary and 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.