Machine Learning Engineer - HiredScore
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About this role
Employer-provided description, formatted for easier reading.
Your work days are brighter here.
We’re obsessed with making hard work pay off, for our people, our customers, and the world around us. As a Fortune 500 company and a leading AI platform for managing people, money, and agents, we’re shaping the future of work so teams can reach their potential and focus on what matters most. The minute you join, you’ll feel it.
Not just in the products we build, but in how we show up for each other. Our culture is rooted in integrity, empathy, and shared enthusiasm. We’re in this together, tackling big challenges with bold ideas and genuine care.
We look for curious minds and courageous collaborators who bring sun-drenched optimism and drive. Whether you're building smarter solutions, supporting customers, or creating a space where everyone belongs, you’ll do meaningful work with Workmates who’ve got your back. In return, we’ll give you the trust to take risks, the tools to grow, the skills to develop and the support of a company invested in you for the long haul.
So, if you want to inspire a brighter work day for everyone, including yourself, you’ve found a match in Workday, and we hope to be a match for you too.
About the Team
As the leading provider of Talent Orchestration technology, HiredScore’s artificial intelligence, automation and deep integrations empower the largest and most innovative companies in the world to safely and transparently drive critical business outcomes in recruitment productivity, diversity hiring, internal mobility, and total talent management.
HiredScore is designed to help companies match, rediscover, and engage talent more effectively. Seamlessly integrated with Workday, it streamlines processes, reduces administrative tasks, and delivers timely insights that enhance decision-making and free up time for meaningful interactions with top talent.
We place great value on career growth, learning and collaboration. Employees are our #1 value! We are an agile organization, constantly looking for ways to improve with a focus on the value we deliver to our customers.
We work closely with people to acquire fast feedback and achieve the right outcomes.
At our Israeli site, we follow a hybrid work model with 3 days in the office and 2 days from home
About the Role
- Design, build, and improve ML-powered software products that deliver real value to users.
- Explore, analyze, and model large-scale textual data to support accurate predictions, classification, and decision-making.
- Develop and evaluate NLP and machine learning models, using LLMs and generative AI techniques when relevant.
- Move quickly from data analysis and experimentation to prototypes, production-ready code, and integration with other services.
- Own the quality, performance, and ongoing improvement of your work through metrics, evaluation, and data-driven iteration.
- Collaborate with product, engineering, and research partners while learning from a strong technical team.
About You
Basic Qualifications:
- 4+ years of experience as a machine learning engineer, data scientist, software engineer or in a related technical role.
- Strong Python skills, with experience building, shipping, and maintaining production-grade code.
- Solid software engineering fundamentals, including clean APIs, testing, CI/CD, observability, and maintainable codebases.
- Practical experience working with large-scale data, data modeling, and production systems that support data-driven products.
- Familiarity with machine learning, deep learning, and NLP concepts, with hands-on experience using frameworks such as PyTorch, TensorFlow, or scikit-learn.
Other Qualifications:
- Bachelor’s degree in Computer Science or a related field; Master’s degree is a plus.
- Experience with GenAI and LLMs.
Our Approach to Flexible Work
With Hybrid
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 we require employees to work three days a week in the office and two days at home.
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.
Workday is committed to providing reasonable accommodations for qualified individuals during our application process, in order to perform one or more essential functions of their job, as well as regarding the use of AI tools for employment decision-making to any degree.
Please see below for more details including how to request an accommodation as a qualified veteran, due to a disability or for religious reasons, or as otherwise provided under applicable law.
Workday prohibits taking adverse action against any candidate or employee for reporting a possible violation of this policy, requesting one or more work accommodations, exercising a privacy right, or cooperating in an investigation in accordance with applicable law.
Any employee who retaliates against a candidate or employee for doing so may be subject to disciplinary action, up to and including termination of employment, to the fullest extent allowable under applicable law.
If you require a reasonable accommodation, you may email accommodations@workday. com , as far in advance as possible.
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