Senior Machine Learning Engineer- HiredScore

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

HiredScore provides deeply integrated AI solutions to F500 recruiting, sourcing, DE&I, and talent management teams. We focus on supercharging our clients' existing tech stack rather than adding and/or replacing. Core AI products include compliant and bias-free candidate scoring for active applicants and automated sourcing of passive candidates from existing ATS, CRM, HCM, VMS and other internal systems.

HiredScore also offers a first-of-its-kind Diversity AI Module that is on the forefront of innovation in the DE&I technology category. A fully customized offering that provides numerous products as part of the solution suite enabling enterprise organizations to truly move the needle on their organizational diversity goals.

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

• 5+ 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.
• Experience with GenAI and LLMs is a plus.
• Bachelor’s degree in Computer Science or a related field; Master’s degree is a plus.
  
  

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.

At Workday, we are committed to providing an accessible and inclusive hiring experience where all candidates can fully demonstrate their skills. If you require assistance or an accommodation at any point, please email [email protected].

Are you being referred to one of our roles? If so, ask your connection at Workday about our Employee Referral process!

At Workday, we value our candidates’ privacy and data security. Workday will never ask candidates to apply to jobs through websites that are not Workday Careers.

Please be aware of sites that may ask for you to input your data in connection with a job posting that appears to be from Workday but is not.

In addition, Workday will never ask candidates to pay a recruiting fee, or pay for consulting or coaching services, in order to apply for a job at Workday.

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