Machine Learning Engineer
HangSalary not specified
- Full Time
- Senior (5 to 8 years)
$120,000 – $190,000Compensation
Junior (1 to 2 years)Experience Level
Full TimeJob Type
UnknownVisa
Artificial Intelligence, Software DevelopmentIndustries
Requirements
Candidates should possess a Bachelor's degree in Computer Science, Machine Learning, or a related field, and have at least 3 years of experience in machine learning engineering, with a focus on customer-facing roles. Strong programming skills in Python, React, and/or Go are required, along with experience building and optimizing machine learning models and pipelines. Familiarity with LLMs and CV applications is also beneficial.
Responsibilities
As a Machine Learning Engineer, you will collaborate with revenue teams to provide technical expertise, build and optimize ML models and pipelines for customer use cases, design and deliver technical workshops and demos, serve as a technical advisor during customer engagements, and contribute to product development by relaying customer feedback and advocating for feature enhancements. You will also work closely with internal teams including product, engineering, and sales to ensure customer success with Lightning AI’s platform.
Skills
Machine Learning workflows
ML models
ML pipelines
Python
React
Go
Customer data handling
Technical communication
Collaboration
Demo and workshop delivery
Technical documentation
Lightning AI
AI development platform for coding and deployment
About Lightning AI
Lightning AI provides a platform for developing artificial intelligence applications, supporting users throughout the entire AI lifecycle from initial ideas to final deployment. The platform is accessible via web browsers, allowing developers and data scientists to easily code, prototype, and train AI models using GPUs without needing extensive setup. It operates on a subscription model, offering a cloud-based AI Studio that functions like a virtual laptop with persistent storage and environments. This setup enables users to code on CPUs, debug on GPUs, and scale their projects across multiple nodes. Key features of the platform include tools like PyTorch Lightning, Fabric, Lit-GPT, and torchmetrics, which help in optimizing and scaling AI models. Lightning AI aims to provide a user-friendly and comprehensive solution for both enterprises and individual developers looking to enhance their AI development capabilities.
New York City, New YorkHeadquarters
2015Year Founded
$105.6MTotal Funding
LATE_VCCompany Stage
AI & Machine LearningIndustries
51-200Employees