FabFitFun is dominating the women's lifestyle marketplace through our curated subscription boxes, FFF branded products including makeup and accessories, as well as a video streaming platform featuring live and licensed content. Our 1 Million+ members provide us with a significant amount of valuable data that allows us to anticipate their needs, and curate our products, content and services to create personalized experiences.

Applied Science is an interdisciplinary applied research and development team dedicated to creating innovative and practical solutions that automate labor intensive and costly manual processes. Leverages machine learning, robots, and other software and hardware technologies to create a long-term competitive advantage for FabFitFun. The team works collaboratively with different business leaders, engineering, data science, and operations at FabFitFun to not just research, but also implement high-impact solutions to real business problems such as supply chain automation to reduce manual effort and cost while increasing productivity, efficiency, and accuracy.

Our ideal candidate will be detail-oriented, a strong communicator, incredibly curious, and technically capable with a desire to discover and deliver data-driven business insights. This is a high visibility role; the position reports directly into the CTO.

What You'll Do:

• Dynamic strategic thinker who will interact closely with business leaders, data science, engineering, and operations to provide informed guidance on matters such as demand forecasting for our global supply chain. Your research, forecasts, and guidance will drive major business and technology decisions.
• Partner with engineering, data science, operations, and other business owners to build innovative technologies that give us a competitive edge in various areas such as personalization (machine learning/artificial intelligence), supply chain management, cloud infrastructure, and internal operations to improve retention and the member experience.
• Work closely with business leaders to automate costly or inefficient manual processes such as demand planning, manufacturing, and warehouse operations to reduce manual overhead, increase accuracy and efficiency, saving the company millions of dollars.
• Create computer vision applications to automate manufacturing and other labor-intensive tasks through automatic inspection, automated identification systems, industrial robot systems, mobile robot navigation, activity recognition, etc.
• Partner with the engineering and data science teams to deliver and implement the solutions you develop.
• Create and identify high-impact, practical, creative, and effective solutions to often ambiguous problems that plague the business.
• Regularly dive into learning algorithms, evaluation metrics, model architecture, code, test plans, project plans, deployments and operations to drive excellence.
• Lead and cultivate a group of scientists, researchers, and software engineers in the design, development, testing, deployment and operation of practical computer vision applications, machine learning algorithms, and other automation solutions.
• Responsible for ensuring sanity of algorithms, architecture, operational excellence, quality, and delivering results on time.
• Contribute directly to the growth of this team by hiring highly motivated and passionate people to report to you.

What You'll Bring:

• PhD in computer science or comparable math, science, or engineering degree with a specialty in machine learning
• Demonstrated ability interacting with business, data, and engineering leaders to frame business problems into scalable computer vision solutions
• Experience productizing machine learning algorithms as scalable platform services used by real customers in a production environment
• Experience taking a project from scoping/requirements gathering through to actual launch in a demanding fast-paced environment
• Willingness to be hands on, execute, and produce results with exceptional attention to detail while also operating strategically and interacting effectively with senior management
• Publication record of papers at relevant top conferences
• 10 years of professional experience in machine learning, software development, or related fields
• 5 years as a research engineer or research scientist
• 5 years as a manager or architect
• Paragon of technical excellence with demonstrated ability to lead and motivate people to deliver results in a demanding team environment
• Ability to present complex technical information in a clear and concise manner to non-technical business leaders
• Expert in the creation and orchestration of scalable platform services/APIs for machine learning algorithms
• Superior software design and architecture knowledge
• Robust project planning and execution skills
• Excellent judgment, organizational, and problem-solving skills
• Knowledge of Linux, web servers, and cloud infrastructure & platforms such as AWS
• Expert at relational databases, object-oriented programming, and design patterns
• Expert at Java (ideal, but another OOP language such as C++, C#, or Python is acceptable

Extras:

• Will have to travel to our warehouse in Chino to understand how our processes work and automate manual processes there (warehouse automation).
• Will have to travel to trade conferences to meet with industry experts.
• Will have to meet with the Data Scientists at their office to help them optimize their predictive models for a production environment.
• May have to travel to China to help automate our supply chain and manufacturing processes.