Posted in Engineering about 5 hours ago.
Type: Full Time
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 Team
Join the Evisort team at Workday. Our mission is to change the way business deals get done. In an industry plagued by inefficient and ineffective contract management systems, we provide a solution that accelerates, scales, and protects the business, enabling contract professionals to become their company's superhero.About the Role
Evisort (now part of Workday) is searching for a Machine Learning Engineer with an impact-driven mindset and a strong product mentality. Our Data Science and AI team is at the forefront of research and development in AI, striving to push the boundaries of what is possible in natural language processing and machine learning. You will play a key role in building and deploying data-driven ML solutions into our AI/ML-powered document intelligence product. You will effectively engage with data scientists, ML engineers, PMs and architects in requirements elaboration and drive technical solutions. You must have a mentality of continuous improvement, passion for quality, scale, and security.
About You
What you will do:
Contribute to advancing NLP and its applications, to create highly innovative products and customer experiences, ranging from text understanding and classification to information extraction.
Build end-to-end products from the ground up, from data exploration through feature generation, model construction and deployment.
Review and choose the best and most appropriate annotated datasets for the best-supervised learning methods.
Independently identify AI/ML opportunities, define key product metrics and propose solutions to leadership.
Stay up to date with emerging technologies in GenAI/LLM field and recommend improvements to existing AI models and products.
Basic Qualifications
3+ years of proven experience delivering applied deep learning products in NLP (e.g., Named Entity Recognition, Question Answering), including taking a product through design, implementation, and to production
3+ years of developing Machine Learning driven features in Python with proficiency in deep learning frameworks (e.g., Tensorflow, Pytorch)
3+ years in fields of NLP via delivering enterprise-grade code with deep learning architectures (e.g., RNNs, CNNs, Transformers)
1+ years of experience researching (e.g., fine-tuning), prototyping, and productionalizing LLM-based solutions using frameworks such as Huggingface, Langchain, and LlamaIndex.
Other Qualifications
Experience with Git or other distributed version control systems
Experience building Extract Transform Load (ETL) pipelines
Experience in designing and crafting experiments, A/B testing and data analysis in the domain of quality metrics for machine learning services.
Outstanding communication skills with ability to communicate results clearly to non-technical audiences with a focus on driving impact
Experience using distributed processing architecture and ML/ Data platform (e.g., AWS Sagemaker, Databricks, Spark, Kubeflow, etc); building experience is a plus
Experience with Computer Vision is a plus
Bachelor's degree or equivalent in Computer Science, Mathematics, Statistics
Workday Pay Transparency Statement
The annualized base salary ranges for the primary location and any additional locations are listed below. Workday pay ranges vary based on work location. As a part of the total compensation package, this role may be eligible for the Workday Bonus Plan or a role-specific commission/bonus, as well as annual refresh stock grants. Recruiters can share more detail during the hiring process. Each candidate's compensation offer will be based on multiple factors including, but not limited to, geography, experience, skills, job duties, and business need, among other things. For more information regarding Workday's comprehensive benefits, please click here.
Primary Location: USA.CO.Boulder
The application deadline for this role is the same as the posting end date stated as below:
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.
Pursuant to applicable Fair Chance law, Workday will consider for employment qualified applicants with arrest and conviction records.
Workday is an Equal Opportunity Employer including individuals with disabilities and protected veterans.
Are you being referred to one of our roles? If so, ask your connection at Workday about our Employee Referral process!
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