Staff Software Engineer, ML Platform & AI Labs
EvolutionIQSalary not specified
- Full Time
- Expert & Leadership (9+ years)
Not SpecifiedCompensation
Junior (1 to 2 years)Experience Level
Full TimeJob Type
UnknownVisa
Information Technology & ServicesIndustries
Requirements
Candidates should possess 4+ years of software development experience, excellent working knowledge of Python 3, and some model-building experience is preferred. A Bachelor's degree in Computer Science, mathematics, or an engineering discipline is required, along with the ability to participate in on-call rotations as needed. Prior experience with ML engineering or MLOps-related topics is a plus.
Responsibilities
The Software Development Engineer II (Python) will collaborate on the design and implementation of internal machine learning platform and consumer-facing Generative AI development product, designing, building, and integrating systems to manage the full machine learning lifecycle. They will work closely with data scientists and other teams to optimize training and serving of ML models & services, build effective monitoring systems, and provide engineering support for ML model development, including optimization and architectural oversight.
Skills
Python
Machine Learning
Generative AI
LLM fine-tuning
Data Science
Model Deployment
Pipeline Development
System Integration
LivePerson
Digital customer engagement and communication tools
About LivePerson
LivePerson provides businesses with tools to engage with their customers through digital channels. Their main product, LiveEngage, facilitates real-time interactions via live chat, messaging, and AI-driven bots across various platforms like websites, mobile apps, and social media. LivePerson's subscription-based model allows clients to access a suite of tools, including APIs and SDKs, to manage customer interactions and analyze performance. Unlike competitors, LivePerson focuses on enhancing customer experience with features like "click to message" and "click to chat," which enable direct communication from digital platforms. The company's goal is to improve customer service and engagement for businesses, ultimately leading to increased sales and satisfaction.
Key Metrics
New York City, New YorkHeadquarters
1995Year Founded
$40.5MTotal Funding
IPOCompany Stage
Data & Analytics, Consumer Software, Enterprise SoftwareIndustries
1,001-5,000Employees