NLP Machine Learning Engineer

Your work days are brighter here.At Workday, it all began with a conversation over breakfast. When our founders met at a sunny California diner, they came up with an idea to revolutionize the enterprise software market. And when we began to rise, one thing that really set us apart was our culture. A culture which was driven by our value of putting our people first. And ever since, the happiness, development, and contribution of every Workmate is central to who we are. Our Workmates believe a healthy employee-centric, collaborative culture is the essential mix of ingredients for success in business. That’s why we look after our people, communities and the planet while still being profitable. Feel encouraged to shine, however that manifests: you don’t need to hide who you are. You can feel the energy and the passion, it's what makes us unique. Inspired to make a brighter work day for all and transform with us to the next stage of our growth journey? Bring your brightest version of you and have a brighter work day here.About the TeamHave you ever wondered what really makes people productive? Or what might cause someone to choose to leave their job?We're using one of the largest employee engagement datasets in the world to solve mysteries like these. The insights we deliver help our customers run their businesses better, and ensure their employees are more satisfied, motivated and engaged.The Peakon team at Workday is driven by the belief that we can radically change the world of work. We believe that when an organisation listens to employee feedback and empowers every employee to drive the change they want to see, it can create more fulfilling jobs and grow in ways never before imagined.About the RoleAs our next NLP Machine Learning Engineer you will be responsible for developing and implementing machine learning algorithms, primarily natural language processing, using our vast amounts of data. You will play a key role in building and deploying data-driven solutions that drive business outcomes.You’ll be an active member of the ML team while being part of one of our product teams, working alongside Engineers, Psychologists and other product team members to improve processes and further develop the Machine Learning Engineering codebase.About YouThe perfect candidate will have a background in a technical field, experience working with large text data sets, and cross functional teams to deliver on import initiatives, and have a track record of delivering high-quality NLP solutions on time.Basic Qualifications3+ years of experience in natural language processing, machine learning, or related fieldsStrong programming skills in PythonExperience with LLMs, NLP libraries such as spaCy and/or frameworks like HuggingfaceKnowledge of statistical and machine learning algorithms and techniquesExperience with text classification, entity recognition, and sentiment analysisExperience with data exploration and preprocessing pipelinesOther QualificationsMaster's or Ph.D. degree in Computer Science, Electrical Engineering, or a related fieldExperience working with LLM- both in production and in a research settingYou know how to establish realistic timelines and scopes to ensure consistent high quality deliveriesUnderstanding of modern data science practices including a focus on code quality and documentationExperience working with a variety of cross-functional peers and partners including data scientists, product managers, engineers, and similar roles.Our Approach to Flexible Work With Flex Work, we’re combining the best of both worlds: in-person time and remote. Our approach enables our teams to deepen connections, maintain a strong community, and do their best work. We know that flexibility can take shape in many ways, so rather than a number of required days in-office each week, we simply spend at least half (50%) of our time each quarter in the office or in the field with our customers, prospects, and partners (depending on role). This means you'll have the freedom to create a flexible schedule that caters to your business, team, and personal needs, while being intentional to make the most of time spent together. Those in our remote "home office" roles also have the opportunity to come together in our offices for important moments that matter.Are you being referred to one of our roles? If so, ask your connection at Workday about our Employee Referral process!