Posted 28 months ago
Machine Learning Solutions Engineer
AI Summary
Customer-facing ML Solutions Engineer who designs demos, guides proof-of-concepts, and provides post-sales technical support to help customers succeed with Lightning AI's platform.
About this role
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
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Move Fast: We act with speed and precision, breaking down big challenges into achievable steps.
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Focus: We complete one goal at a time with care, collaborating as a team to deliver features with precision.
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Balance: Sustained performance comes from rest and recovery. We ensure a healthy work-life balance to keep you at your best.
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Craftsmanship: Innovation through excellence. Every detail matters, and we take pride in mastering our craft.
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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’ll also partner closely with product and engineering teams to inform and shape product features. You’ll work cross-functionally with engineering, design, product, and sales to translate customer needs into effective solutions, using the Lightning AI platform to solve real-world machine learning problems.
This role is based out of our New York City office, with an in-office requirement of at least 3 days per week and occasional team and company offsites. We are not able to provide visa sponsorship for this role at this time.
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.
Compensation
The annual base pay range for this role is $150,000 - $195,000, in addition to a variable pay component and meaningful equity.
Benefits and Perks
We offer a comprehensive and competitive benefits package designed to support our employees’ health, well-being, and long-term success. Benefits may vary by location, team, and role.
Benefits include:
- Comprehensive medical, dental and vision coverage (U.S.); Private medical and dental insurance (U.K.)
- Retirement and financial wellness support (U.S.); Pension contribution (U.K.)
- Generous paid time off, plus holidays
- Paid parental leave
- Professional development support
- Wellness and work-from-home stipends
- Flexible work environment
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.
