careers

Are you a technologist who is inspired to be a part of a rapidly growing company where you can help shape and scale the future? Are you passionate about pushing the boundaries of natural language processing?

Machine Learning Engineer to join our amazing and tight-knit team. In this role, you will assess, analyze and organize data, execute tests, and optimize the learning process to help develop high-performance machine learning models. You’ll take part in the research and design of self-running software to automate predictive models, and use insights from prediction results and subject matter experts to further refine models.

Qualified candidates will be self-directed, have excellent written & oral communication skills , and share our passion to deliver products people love.

A must for this position (and everyone on our team!) is to stay true to our core values:

Key Responsibilities:

• Designing, developing, and researching Machine Learning systems, models, and architectures
• Analyzing, transforming, and converting data science prototypes into production ready code
• Searching and selecting appropriate data sets
• Writing code to ingest and process OCR’ed document data
• Training and retraining models as needed
• Performing data analysis and data processing to optimize model performance
• Visualizing data for deeper insights
• Verifying data quality and ensuring it via data cleaning
• Researching state-of-the-art machine learning algorithms and converting research papers into testable code

Requirements:

• BS/degree or equivalent experience
• Strong programming skills in Python and ML frameworks
• Strong foundation in Math and Statistics
• Ability to work with large data sets, identify patterns, and visualize distribution
• Creative problem solving skills

What it Takes to Be Awesome in This Role

• Comfortable working in a data-driven experiment focused engineering culture

Do you love creating great products? Do you want to make a big impact in an industry that needs someone like you—someone who can bring elegant solutions to complex problems?

Product Designer to join our amazing and tight-knit team. We’d like to have this person in Atlanta, but we’ll consider remote in the USA for the right candidate. In this role, you will shape our products from the early stages and establish our approach to UX and design. Qualified candidates will be effective communicators, with a balance of great UX, style, and pragmatism.

A must for this position (and everyone on our team!) is to stay true to our core values:

Key Responsibilities:

• Work closely with Product to ideate and define product features and enhancements
• Distill complex workflows into intuitive user experiences
• Communicate clearly and often with Engineering and Product to bring your designs to life
• Work on all parts of the ecosystem, from first-time experience flows, to improvements to existing features, to testing new ideas
• Establish the visual style of Document Crunch products
• Conduct user research and fold into the process

Requirements:

• BS/BA degree or equivalent experience
• 5 years of experience designing applications (bonus for B2B products)
• Examples of your work and description of your process

What it Takes to Be Incredible in This Role

• Strong communication skills and experience collaborating with engineers, product, and other team members
• Strong desire to get to the root of customers’ problems
• Solid knowledge of UX design processes and methodologies, but adaptive and always happy to try out new approaches
• Bonus points for a background in UI engineering
• Available for occasional travel to for onboarding, collaboration, and team building

Are you a technologist who is inspired to be a part of a rapidly growing company where you can help shape and scale the future? Are you passionate about pushing the boundaries of cloud computing and machine learning?

Cloud Engineer to join our amazing and tight-knit team. In this role, you will represent the DevSecOps role supporting our cloud native platform including AWS and future providers. You’ll take part in architecting a highly scalable elastic system, securing its data and applications, and implementing tools for automation, observability, and compliance. Qualified candidates will be self-directed, have excellent written and oral communication skills, and share our passion to deliver software products people love.

A must for this position (and everyone on our team!) is to stay true to our core values:

Key Responsibilities:

• Work with colleagues to design, develop, install, configure, and maintain our cloud platform with solutions that implement industry best practices.
• Provide support and technical governance related to cloud native deployment and operations.
• Enhance, evangelize, and contribute to DevOps development principles, activities, and development tasks (e.g. infrastructure as code, continuous integration and delivery).
• Ensure critical applications are designed and optimized for high availability and disaster recovery
• Test, select, and implement tools and working methods.
• Design and implement process monitoring.
• Create a standard response for Incident management.
• Provide control and management of security operations.
• Consult and mentor the team to implement good security practices.
• Identify applicable new technologies through research, collaboration with peers, and participation in standards organizations, industry groups, panels, etc.

Requirements:

• BS/degree or equivalent experience.
• 3+ years of increasingly technical work experience spanning at least two IT disciplines, including technical architecture, network management, application development, database management, or operations.
• Have good knowledge of the DevOps culture and principals.
• Knowledge of risk assessment techniques.
• Proficiency in Python, YAML, JavaScript (Terraform is plus).

What it Takes to Be Amazing in This Role

• Strong attention to detail, time management, and organizational skills.
• Passionate about automation and empowering colleagues to move products from development to delivery.
• Passionate about security.
• Comfortable working in a data-driven experiment-focused engineering culture.
• Experience deploying and scaling machine learning services.