Senior Software Engineer, Machine Learning - CX Conversational Analytics
The Qualtrics XM Platform™ is a system of action that helps businesses to attract customers who stay longer and buy more, to engage and empower employees to do the best work of their lives, to develop breakthrough products people love, and to build a brand people can’t imagine living without.
Joining Qualtrics means becoming part of a team bold enough to chase breakthrough experiences - like building a technology that will be a force for good. A team committed to diversity, equity, and inclusion because of a conviction that every voice holds value, with a vision for representation that matches the world around us and inclusion that far exceeds it. You could belong to a team whose values center on transparency, being all in, having customer obsession, acting as one team, and operating with scrappiness. All so you can do the best work of your career.
We believe every interaction is an opportunity. Are we yours?
The Challenge
The CX Conversational Analytics Team is building a new generation of applications using Machine Learning / NLU to understand, analyze and improve customer experience. It’s an exciting area where a lot of innovation is going to happen with the emergence of the latest ML technologies. We are figuring out new ways to analyze all types of interactions that each company has with its customers, with both structured and unstructured data. The ultimate goal is to provide actionable insights at scale for companies to achieve better business results.
As a Machine Learning Software Engineer, you will be applying your knowledge and experience in distributed systems, SQL/NoSQL storage, full stack development and data pipeline to build world-class software and services. Our stack includes Node.js, ReactJS, MongoDB, MySQL, Kafka, Presto, Spark. We use Typescript, Golang, Python, etc. You will also have the freedom to explore and choose new technology when it fits.
You should love building simple solutions to solve hard customer problems. Crafting systems in an agile environment to withstand hyper growth. You will own quality from end to end is a rewarding challenge and one of the reasons Qualtrics is such an exciting place to work!
In addition, you will:
- Work in a multi-disciplinary team to implement, tune, and productize cutting-edge machine learning models to meet the demands of our rapidly growing business
- Develop scalable, fast, robust, and best-in-class solutions to solve complex business problems
- Work closely with, and incorporate feedback from other specialists, tech-ops, and product managers
- Lead and engage in design reviews, architectural discussions, requirement definitions and other technical activities in diverse capacity
- Attend daily stand-up meetings, collaborate with your peers, prioritize features, and work with a sense of urgency to deliver value to your customers
- Build and maintain highly scalable data pipelines to cleanse, anonymize, measure, and index complex and multi-modal data.
- Finding quick ways to prototype and test possible solutions to large problems
Basic Qualifications
- Bachelor’s degree in Computer Science or related fields.
- Strong Computer Science fundamentals in algorithm design, complexity analysis, and performance
- 5-8 years of programming experience with at least one modern programming language such as Java, C# or Python, including object-oriented design
- 2+ years of experience contributing to the architecture and design (architecture, design patterns, reliability and scaling) of new and current systems
- CI/CD deployment automation experience with scripting, Chef, Jenkins, Puppet, etc.
- Interest in modern machine learning / deep learning systems
- Ability to work both independently on ambiguous problems and in highly collaborative team environments
Preferred Qualifications
- Experience with technical communications with both technical and non-technical peers
- Deep understanding of machine learning model life cycle management
- The ability to define system architecture and explore the feasibility of various designs
- Experience developing cloud-based software services and an understanding of design for scalability, performance and reliability
- 3+ years of experience in building or using machine learning systems. Experience with (e.g. SageMaker, MLFlow, Kubeflow), and/or deep learning frameworks (e.g. TensorFlow, PyTorch, MXNet etc)
- Experience with building data pipelines for machine learning and processing large volumes of data with modern big data systems such as Spark, EMR, Hadoop etc.
- Experience with workflow management tools, e.g. Airflow
What differentiates us from other companies
- Work life integration is deeply important to us - we have frequent office events, team outings, and happy hours
- Qualtrics Experience Program - $1,800 for an experience of your choosing (eligible after a year)
- We take pride in our offices’ design aiming to foster creativity from our rooftop views to an open and collaborative work space.
- 30 paid days off - 15 PTO + 5 Personal Days + 10 Holiday Closures (additional after a year)
- On top of standard benefits package (medical employees and their families, dental, vision, life insurance, etc) we provide snacks, drinks, and free lunches in our office
- We believe in sharing Qualtrics success which is part of the compensation for all employees
To learn more about what we value read about it directly from our employees Qualtrics Life stories