Sr. Software Engineer, Machine Learning

Lucid Software is a leader in visual collaboration, helping teams see and build the future from idea to reality. With our products—Lucidchart, Lucidspark and Lucidscale—teams can align around a shared vision, clarify complexity, and collaborate visually, no matter where they're located. Our products, business and workplace culture have received numerous global and regional recognitions, such as being included on the Forbes Cloud 100 and being named a Fortune Best Workplace in Technology. Lucid is a hybrid, remote-friendly workplace, providing employees the flexibility to work where they are most productive. Our employees embody our four core values of teamwork over ego, innovation in everything we do, individual empowerment, initiative, and ownership, and passion and excellence in every area. 

As a Sr. Software Engineer in Machine Learning at Lucid Software you will use machine learning to improve our world-class web applications in our Lucid Product Suite. You will help millions of people around the globe use our products to collaborate and innovate faster and more effectively. Ideally, you are passionate about new opportunities, excited about solving problems through machine learning, and have a demonstrable track record of success in delivering machine learning projects.

We are looking for extraordinary machine learning engineers who have experience owning machine learning projects beginning to end. A commitment to teamwork and strong communication skills (with both business and technical partners) are absolute requirements. If you know how to deliver results, are deeply technical and highly innovative, and relish the opportunity to delight customers with pioneering solutions to challenging problems, Lucid is the place for you.

Responsibilities:

• Own the development of machine learning projects from start to finish: through conception, prototyping, and experimentation with research scientists; to data pipeline and infrastructure creation with our data infrastructure team; and to optimization, productization, and deployment
• Develop a deep understanding of business needs, be effective at translating them into technical opportunities, and then delivering successfully upon those opportunities
• Drive best practices on the team and in the codebase
• Have a deep understanding of performance and operational tradeoffs for technology and be able to effectively develop and choose technology based on company need
• Capable of effectively influencing others and driving consensus with both technical and non-technical partners

Requirements:

• BS, MS, or higher degree in Computer Science, or equivalent industry experience
• 4+ years of industry experience with 2+ of those years being machine learning related
• Strong programming ability
• Extensive experience with machine learning techniques and systems
• Knowledge of core CS concepts such as data structures and algorithms
• Track record of proactively owning and successful shipping machine learning projects from beginning to end
• Comfortable conducting design and code reviews
• Strong teamwork and communication skills with diverse cross functional partners from all levels

Preferred qualifications:

• Proficiency in Scala, Python, or TypeScript
• Experience building production machine learning systems that are large scale, performant, highly available, and scalable
• Experience with a major cloud provider such as AWS, GCP, or Azure
• Experience with databases such as MySQL or Snowflake