Sr Machine Learning Engineer NLP - Workforce

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

The Workforce ML team charter is to “Enable the Future of Work with AI and ML”. We believe if you do what you love, you’ll love what you do. There’s a lot to love at Workday. You will be part of a global, high-growth product team to develop the next generation of smart applications used by over 60 million users, representing about ~450 billion transactions a year. You will solve complex business and user interaction problems by leveraging ML. We operate and function like a startup with a high degree of autonomy and strong sense of total ownership.

About The Role

Join a fast paced organisation working with groundbreaking technologies to tackle the next generation of sophisticated problems. Would you enjoy the quick decision-making of an innovative, young product while benefiting from the financial strength of a growing market leader named in the 'Best Companies to Work For' by Fortune? The Workforce ML team offers the best of both worlds! We have an immediate opening for a Senior Machine Learning Engineer. This could be your next great adventure.

What you will do:

1. Work with PMs to propose algorithm design, plan and execute algorithm fine-tuning, while also outlining and delivering validation strategy.
2. Independently identify ML opportunities and propose solutions to leadership.
3. Develop, train, and test ML models to use to solve business problems.
4. Work with engineering teams to implement/refine models while considering functionality for recommendation output.
5. Run regular A/B tests, gather data, perform statistical analysis, draw conclusions on the impact of your models.
6. Undertake statistical analysis of the results produced and refine the model where required.
7. Review and choose the best and most appropriate annotated datasets for the best-supervised learning methods.
8. Use effective text representations to transform natural language into useful features.
9. Find and implement the right algorithms and tools for NLP tasks.
10. Extend ML libraries and frameworks to apply in NLP tasks.

About You

We are seeking a Senior Engineer with a strong product mindset and opinions around how ML can drive a better customer experience, who will play a key role in building and deploying data-driven ML solutions that drive better products. As a collaborative team, there is a need to engage with data scientists, ML engineers, PMs and architects in requirements elaboration and drive technical solutions. The ideal candidate will also have a passion for continuous improvement, quality, scale, and security.

Basic Qualifications:

1. 4+ years of proven ability delivering applied machine learning products, including taking a product through design, implementation, and to production.
2. 4 years+ of developing Machine Learning driven features with Python (including NumPy, SciPy, Pandas, TensorFlow, PyTorch).

Other Qualifications:

1. Experience building Extract Transform Load (ETL) pipelines.
2. Experience in designing experiments, A/B testing and data analysis in the domain of quality metrics for machine learning services.
3. Experience in analysing the ML algorithms that could be used to solve a given problems and ranking them by their success probability.
4. B.A./B.S. in Computer Science, Statistics, Mathematics, or similar.

At Workday, we believe every potential recruit brings value to the table. Believe you are missing some of the skills and are hesitant to apply? We do not believe in the ‘perfect’ candidate and are happy to teach. So however you identify and whatever background you bring with you, apply and see what we are all about.

We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, sex, gender, gender expression, sexual orientation, age, marital status, veteran status, or disability status.

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.

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).

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.