About Paperspace

Paperspace builds tools and infrastructure to make accelerated computing simple and accessible.

Paperspace is backed by leading investors including Y Combinator, Initialized Capital, Battery Ventures, and Intel Capital.

The Role

We are looking for a Growth ML Engineer to cultivate a global, diverse community of developers and machine learning engineers. You’ll work at the intersection of marketing, sales, and customer support to showcase the value of the Gradient platform to aspiring and veteran ML developers. You’ll help drive adoption, understand innovative customer use cases, and serve as the primary problem solver in our customers’ ML workflows.

In this role, you’ll be working directly with customers on applied ML problems across a range of use cases such as computer vision, robotics, natural language processing, and more. You’ll have the opportunity to collaborate with ML teams across several industries to improve their workflow and educate them on ML best practices.

This is a perfect opportunity for anyone who has machine learning experience, is customer-oriented, and is looking to work with the top ML companies in the world. If you enjoy working with highly technical engineering teams and thrive in an autonomous environment, we encourage you to apply.

What you’ll be doing

• Deliver high-level, detailed technical presentations and demos tailored to customers’ requirements alongside the Head of Sales and/or Sales Development Representative
• Provide product support and assist prospects, customers, and partners with their technical issues
• Architect and prototype solutions for customers
• As a technical first responder to prospective and enterprise customers, assist in the diagnosis of technical issues/bugs and work with our Support and Engineering teams to resolve more advanced issues when necessary
• Effectively communicate client needs to the engineering team for future product enhancements
• Design and build clear and compelling example projects to guide users and showcase our product to customers: end-to-end ML models with reproducible workflows, illustrative tutorials, and how-tos for specific tasks in Gradient, general explanatory blog posts, etc
• Listen to and partner with our customers, academic users, and the broader community to understand and help prioritize their workflows in Gradient
• Keep the organization apprised of new developments in applied & theoretical ML

What we’re looking for

• 3+ years of experience in a professional working environment in an ML Engineer or adjacent role
• Experience using one or more of the following packages: TensorFlow/Keras, PyTorch
• Strong programming proficiency in Python and eagerness to help customers who are primarily users of ML/DL frameworks and tools be successful
• Excellent communication and presentation skills, both written and verbal
• Ability to effectively manage multiple conflicting priorities, respond promptly, and manage time effectively in a fast-paced, dynamic team environment
• Ability to break down complex problems and resolve them through customer consultation and execution.
• Experience with cloud platforms (AWS, GCP, Azure)
• Experience with Linux/Unix
• Applied machine learning experience in the industry: training, tuning, debugging, and deploying machine learning models integral to a product or service, in a collaborative team environment
• Familiarity with a range of ML frameworks and domains (computer vision, natural language processing, reinforcement learning, statistics, etc)
• Ability to clearly communicate your ideas to folks across a range of backgrounds and levels of technical knowledge

Strong Plus

• Proficiency with one or more of the following packages: TensorFlow/Keras, PyTorch, HuggingFace, Fastai, scikit-learn, XGBoost, Jupyter
• Experience with hyperparameter optimization solutions
• Experience with data engineering, MLOps, and tools such as Docker and Kubernetes
• Experience with data pipeline tools
• Experience as an ML educator and/or building and executing customer training sessions, product demos, and/or workshops at a SaaS company
• You have thought deeply about your role in the future of artificial intelligence/technological advancement and want to help make machine learning more accessible, transparent, and collaborative
Our Team

Paperspace values technical excellence in an open and inclusive environment. The team is primarily based in NYC, but we have a strong remote/hybrid team. Communication is paramount and mutual respect is at the core of our collaborative work environment. We are also committed to building a team that represents a variety of backgrounds, perspectives, and skills. We believe creating a more diverse team directly impacts our ability to collaborate effectively, build a better community, and produce better products.

Benefits

• Multiple health care insurance options with premium plans in addition to vision and dental insurance plans
• 401(k) Plan with employer matching
• Commuter benefits with a contribution from the company
• Responsible Time Off Policy
• Generous and flexible parental leave
• Fitness & wellness benefit
• Remote friendly and hybrid office environment for New York team members

We are an equal opportunity employer that values and welcomes diversity. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status.