Machine Learning Solutions Engineer (Customer Facing) New York, New York, United States

Senior Interior Designer; Palo Alto (CA); On-site; USD 120,000 - 190,000; Full time

Job summary

An innovative company is seeking a customer-facing Machine Learning Engineer to join their dynamic Sales team. In this hybrid role, you will leverage your expertise in machine learning and programming to build applications, provide technical support, and collaborate with customers to enhance their workflows. You will be pivotal in delivering technical workshops and optimizing ML models while working closely with engineering and product teams. This position offers a unique opportunity to shape the future of AI development, making it accessible to a broad audience. If you're passionate about technology and customer success, this role is perfect for you.

Benefits

Medical, dental and vision insurance

Flexible paid time off

Generous paid family leave

$500 monthly meal reimbursement

$1,000 annual learning & development stipend

100% Citibike membership (NYC only)

Qualifications

• 3-5+ years in machine learning or data science, with customer-facing experience preferred.
• Strong programming skills in Python and experience with ML libraries.

Responsibilities

• Build LLM/CV applications and optimize ML models for various use cases.
• Serve as a technical advisor, guiding customers on ML solutions.

Skills

Machine Learning

Data Science

Python Programming

Communication Skills

Customer Engagement

Education

Bachelor's in Computer Science

Master's in Data Science

Tools

PyTorch

TensorFlow

JAX

Job description

New York, New York, United States

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.

We are on a mission to simplify AI development, making it accessible to everyone—from solo researchers to large enterprises. By removing the complexity of building and deploying AI tools, we empower innovators to focus on solving real-world problems. Our platform is built to scale with the latest AI advancements while staying intuitive and adaptable, so you can bring your ideas to life.

We have offices in New York City, Palo Alto, and London and are backed by investors such as 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 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. This is a collaborative role that works with engineering, design, product and sales.

You will be joining the Sales team and report to our Head of Sales. 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 - $190,000.

What you’ll do

• Build LLM/CV Apps.
• Write readable/testable/efficient code in Python, React, and/or Go
• Partner with customers to understand their machine learning (ML) workflows, challenges, and goals, providing technical expertise to help them achieve success with Lightning AI’s platform.
• Build and optimize ML models and pipelines for diverse use cases, working hands-on with customer data and applications.
• Design and deliver technical workshops, demos, and training sessions tailored to customer needs.
• Serve as a technical advisor during customer engagements, guiding teams on the best practices for deploying, scaling, and integrating ML solutions using our tools.
• Collaborate closely with internal teams—including product, engineering, and sales—to relay customer feedback, advocate for feature enhancements, and influence the product roadmap.
• Develop technical documentation, tutorials, and proof-of-concept solutions to empower customers and improve their ML workflows.
• Troubleshoot and resolve complex technical challenges faced by customers, acting as their advocate within Lightning AI.
• Stay up-to-date with the latest advancements in machine learning 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, ML Consultant) is highly desirable.
• Proficiency in ML frameworks such as PyTorch, TensorFlow, or JAX, and familiarity with Lightning AI’s ecosystem is a plus.
• Strong programming skills in Python and experience with common ML libraries and tools.
• Proven ability to debug, optimize, and implement ML models and pipelines in production environments.
• 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 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:

• Medical, dental and vision
• 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
• $500 one time home office stipend
• $1,000 annual learning & development stipend
• 100% Citibike membership (NYC only)
• 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.

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