Staff Machine Learning Engineer
AngiSalary not specified
- Full Time
- Expert & Leadership (9+ years)
Not SpecifiedCompensation
Senior (5 to 8 years)Experience Level
Full TimeJob Type
UnknownVisa
AI & Machine Learning, Consumer SoftwareIndustries
Requirements
Candidates should have a Bachelor's or Master’s degree in Computer Science, Engineering, Mathematics, or a related field, with a Ph.D. considered a plus. They must possess 5+ years of experience in machine learning and data-related roles and have proven experience as a Machine Learning Engineer or in a similar position. Strong programming skills in Python and familiarity with ML frameworks like TensorFlow or PyTorch are required. Additionally, experience with data processing, data analytics, and proficiency in managing high-dimensional data using vector databases such as Redis, Milvus, Pinecone, Weaviate, Chroma, or Faiss is essential. Candidates should also have knowledge of machine learning techniques and algorithms, including fine-tuning processes and methodologies.
Responsibilities
The Machine Learning Engineer will design, build, and deploy machine learning models to enhance the platform's capabilities, focusing on customer personalization, predictive analytics, and automated decision-making. They will analyze large datasets to identify trends and patterns, informing model development and business strategies. Continuous testing and refinement of algorithms to improve accuracy and efficiency will be part of their role. The engineer will collaborate with software engineers, data scientists, and product managers to integrate ML models into the platform and ensure seamless deployment. They will stay updated with the latest developments in machine learning and AI, exploring new techniques and technologies that could benefit Hang, while providing insights and guidance on best practices in machine learning.
Skills
Python
TensorFlow
PyTorch
Data Processing
Data Analytics
Redis
Milvus
Pinecone
Weaviate
Chroma
Faiss
Machine Learning
Fine Tuning
Hang
No-code platform for creating NFT collections
About Hang
Hang.xyz provides a no-code platform that enables brands to create, launch, and manage NFT collections. This platform is designed for businesses in various sectors, such as retail, entertainment, tech, and lifestyle, allowing them to implement NFT-based membership programs that offer customers exclusive perks and benefits. Brands can easily set up their NFT collections without needing technical skills, thanks to customizable mint pages and codeless contracts that work on any blockchain. Hang.xyz stands out from competitors by focusing on enhancing customer loyalty and engagement through innovative NFT technology, turning customers into stakeholders in the brand. The company's goal is to empower brands to improve their customer engagement strategies and increase the lifetime value of their customers through dynamic membership programs.
Key Metrics
Santa Monica, CaliforniaHeadquarters
2021Year Founded
$15.6MTotal Funding
SERIES_ACompany Stage
Enterprise Software, Crypto & Web3Industries
51-200Employees