Machine Learning Engineer (Customer Facing) at Lightning AI

New York, New York, United States

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$120,000 – $190,000Compensation

Junior (1 to 2 years)Experience Level

Full TimeJob Type

UnknownVisa

Artificial Intelligence, Software DevelopmentIndustries

Skills

Key technologies and capabilities for this role

Machine Learning workflowsML modelsML pipelinesPythonReactGoCustomer data handlingTechnical communicationCollaborationDemo and workshop deliveryTechnical documentation

Questions & Answers

Common questions about this position

What is the salary range for the Machine Learning Engineer position?

The salary range is $120,000 - $190,000.

Is this role remote or hybrid, and where is it located?

This is a hybrid role requiring 2 days per week in New York City.

What skills are required for this Machine Learning Engineer role?

Required skills include experience with Machine Learning workflows, strong understanding of ML challenges and goals, ability to build and optimize ML models and pipelines, proficiency in Python, React, and/or Go, excellent communication and collaboration skills, and ability to work with customer data and applications.

What are Lightning AI's company values?

The company values are Move Fast, Focus, Balance, Craftsmanship, and Minimal.

What makes a strong candidate for this customer-facing Machine Learning Engineer role?

Strong candidates will have ML workflow experience, proficiency in Python, React, or Go, and excellent communication skills to partner with customers and internal teams on demos, workshops, and product feedback.

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