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 Associate Manager of NLP, you’ll lead a team of 2-3 Machine Learning Engineers. You will be responsible for developing and implementing natural language processing algorithms 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 also be an active member of the Product Data Science team, working alongside other Data Scientists to improve processes and further develop the Science 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. You also have experience leading and managing a small team.Basic Qualifications1+ years of experience in managing a team of Data Scientists or Machine Learning EngineersStrong academic credentials with published research papers in top-tier conferences or journals in the field of NLP and language modelling.6+ years of experience in NLP, machine learning, or related fieldsStrong programming skills in languages such as Python, Java, or C++. Expertise in NLP techniques such as text mining, sentiment analysis, entity recognition, topic modelling, and named entity recognition. Familiarity with machine learning models and deep learning frameworks such as TensorFlow, PyTorch, or Keras.Experience with large-scale language models such as GPT-3, BERT, or RoBERTa is highly desirable. Other QualificationsProven leadership experience in a data science or machine learning engineering team. You should be able to mentor and manage other machine learning engineers and scientists, and be able to build a collaborative and productive team environment.Familiarity with the challenges of working with unstructured data and integrating NLP models into production systems is important.You know how to establish realistic timelines and scopes to ensure consistent high quality deliveriesUnderstanding of modern machine learning 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!
View Original Job Posting