Who We Are

Lightning AI is the company behind PyTorch Lightning. Founded in 2019, we build an end-to-end platform for developing, training, and deploying AI systems—designed to take ideas from research to production with less friction.

Through our merger with Voltage Park, a neocloud and AI Factory, Lightning AI combines developer-first software with cost-efficient, large-scale compute. Teams get the tools they need for experimentation, training, and production inference, with security, observability, and control built in.

We serve solo researchers, startups, and large enterprises. Lightning AI operates globally with offices in New York City, San Francisco, Seattle, and London, and is backed by Coatue, Index Ventures, Bain Capital Ventures, and Firstminute.

Our Values

Move Fast: We act with speed and precision, breaking down big challenges into achievable steps.
Focus: We complete one goal at a time with care, collaborating as a team to deliver features with precision.
Balance: Sustained performance comes from rest and recovery. We ensure a healthy work-life balance to keep you at your best.
Craftsmanship: Innovation through excellence. Every detail matters, and we take pride in mastering our craft.
Minimal: Simplicity drives our innovation. We eliminate complexity through discipline and focus on what truly matters.

What we're looking for

As a customer facing Machine Learning Solutions Engineer, you will work closely with our go-to-market teams as the technical subject matter expert. You will be responsible for demos, proof-of-concepts, and post sales technical support. As a Machine Learning Solutions Engineer, you will also have the opportunity to work with our product and engineering team on product features. You will be the glue of the organization, working cross functionally with engineering, design, product and sales. You will solve problems with AI using the Lightning AI platform.

You will be joining the Sales team and report to our MLSE Team Lead. This is a hybrid role based in our New York City office with in-office requirements of 3 days per week. The base pay for this role is $150,000 - $195,000. There is an additional variable pay and equity is included.

What you’ll do

Partner with customers to understand their ML workflows, challenges, and goals, providing technical expertise to help them achieve success with Lightning AI’s platform.
Design and deliver demos, technical workshops, and training sessions
Write readable and concise Python code for demos & templates
Scope and lead POCs that align customer success criteria with the core differentiators of the Lightning AI platform
Collaborate closely with internal teams—including product and engineering—to relay customer feedback, advocate for feature enhancements, and influence the product roadmap.
Develop technical documentation and tutorials to empower customers and improve their ML workflows.
Architect solutions for complex technical challenges faced by customers, acting as their advocate within Lightning AI.
Stay up-to-date with the latest advancements in ML frameworks, tools, and best practices, sharing knowledge with both internal teams and customers.

What You’ll Need

3–5+ years of hands-on experience with machine learning, data science, or a related field. Customer-facing experience in a technical role (e.g., Solutions Engineer, Sales Engineer, ML Consultant) is highly desirable.
Understanding of machine learning concepts, tools, and best practices.
Experience with Python and ML frameworks such as PyTorch. Familiarity with Lightning AI’s open source portfolio is a plus.
Proven ability to debug, optimize, and implement ML/AI models and pipelines.
Exceptional written and verbal communication skills, with the ability to explain technical concepts to both technical and non-technical audiences.
Experience working cross-functionally with engineering, product, and sales teams to deliver tailored solutions.
Thrive in a dynamic, customer-driven environment, balancing multiple projects and priorities simultaneously.
A degree in Computer Science, Data Science, or a related field, or equivalent practical experience. Advanced degrees are a plus.

Benefits and Perks

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

In the US, we offer:

Medical, dental and vision
Life and AD&D insurance
Flexible paid time off including winter closure
Paid family leave benefits
$500 monthly meal reimbursement, including groceries & food delivery services
$500 one time 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

At Lightning AI, we are committed to fostering an inclusive and diverse workplace. We believe that diverse teams drive innovation and create better products. We provide equal employment opportunities to all employees and applicants without regard to race, color, religion, gender, sexual orientation, gender identity, national origin, age, disability, veteran status, or any other protected characteristic. We are dedicated to building a culture where everyone can thrive and contribute to their fullest potential.

Machine Learning Solutions Engineer

TLDR