ML Engineer @ Lightning AI

Who We Are

Lightning AI is the company reimagining the way AI is built. After creating and releasing PyTorch Lightning in 2019, Lightning AI was launched to reshape the development of artificial intelligence products for commercial and academic use.

Focusing on simplicity, sustainability, modularity, and extensibility, Lightning AI streamlines the lifecycle of machine learning development to expand widespread AI adoption. Our aim is to enable individual and enterprise users to build deployment-ready AI tools without having to hire experts or sink resources into in-house infrastructure.

Lightning AI has offices in New York City, Palo Alto, and London, and is backed by $58.6 million in funding from Coatue, Index Ventures, Bain Capital Ventures, and Firstminute.

Our Values

We are building a company of people who care deeply about the impact of AI on our society. We value:

Integrity: AI is bound to change how we interact with computers, each other, and the world—for the better. We are committed to building an inclusive company and developing ethical AI that improves humanity.
Perseverance: Be bold, take the initiative, and make decisions with confidence. We empower our community, clients, and colleagues to tackle the impossible.
Curiosity: We are genuinely interested in finding solutions to advance the state of AI research and foster its application in novel products. It’s not about whether we can solve the problem, but how.

We also recognize the genuine lack of diversity in our industry, which has to change. One of our goals is to help drive that change. Lightning AI is fully committed to diversity, equity, and inclusion in all of its practices, especially when it comes to growing our team. Our culture promotes inclusion, and we embrace how rewarding it is to work with people from all walks of life.

What we’re looking for

As a customer facing Machine Learning Engineer, you will work closely with our revenue teams as the technical subject matter expert. You will be responsible for demos, proof-of-concepts, and post sales technical support. As a MLE, you will also have opportunity to work with our product and engineering team on product features. This is an collaborative role that works with engineering, design, product and sales.

You will be joining the Sales team and report to our COO. This is a hybrid role based in our New York City office with in-office requirements of 2 days per week. The salary range for this role is $120,000 - $250,000.

What you’ll do

Build LLM/CV Apps.
Write readable/testable/efficient code in Python, React, and Go.
Master our technology stack to deliver new features, improve system stability, and increase overall performance.
Partner with engineering and product leaders on developing the Lightning product while using your experience to set the technical direction for large projects.
Evaluate, strengthen, and document technical architecture, tools, and processes.
Champion software quality, implement automation, drive continuous delivery, and reduce time to production while proactively reducing technical debt.
Mentor and coach engineers on system design, operating in high uncertainty and problem-solving to create a supportive, inclusive environment where each engineer can grow.

Benefits and Perks

We offer competitive base salaries and stock options with a 25% one year cliff and monthly vesting thereafter. For our international employees, we work with Velocity Global to pay you in your local currency and provide equitable benefits across the globe.

In the US, we offer:

90% monthly premium contributions towards medical and 100% monthly premium contributions towards select dental and vision plans for you and your dependents
Life and AD&D insurance
Flexible paid time off plus 1 week of winter closure
Generous paid family leave benefits
$500 monthly meal reimbursement, including groceries & food delivery services
$1,000 home office stipend
$1,000 annual learning & development stipend
100% Citibike membership (NYC only)
$45/month gym membership
Additional various medical and mental health services

ML Engineer

Customer Facing

Lightning AI

Compensation Overview

Who We Are

Our Values

What we’re looking for

What you’ll do

Benefits and Perks

6 month growth

1 year growth

2 year growth

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