WorkdayMachine Learning Engineer - HiredScore
Workday is hiring a Machine Learning Engineer - HiredScore in Tel Aviv, Israel. Level rates it ; you can apply on Workday.
Level's read on this job
- Builds AI ●●●● is how Level rates this machine learning engineer role: the job is building AI systems.
- The posting allows some remote work.
- Tools and skills the posting cites include PyTorch, TensorFlow and scikit-learn.
- Level classifies it as a mid-level role.
- Level lists 361 other open roles at Workday.
AI in this role
A Machine Learning Engineer role at HiredScore building and improving ML-powered talent orchestration products using NLP and large-scale data.
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.
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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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.
How we rate this
Machine Learning Engineer - HiredScore at Workday rates 90 out of 100 for how much of the daily work is AI. That makes it Builds AI (AI Level 4 of 4). The level is about AI in the job, not seniority.
Builds AI. The job is building AI systems.
- ●●●● Builds AI80 to 100
- ●●●○ Works on AI60 to 79
- ●●○○ Uses AI40 to 59
- ●○○○ Little AI0 to 39
Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.
Prepare for this job
Built from this posting and from similar jobs on Level.
Skills and AI tools this role asks for
Also common in machine learning engineer jobs at this level
Pay
- Typical machine learning engineer job
- $199k
This posting doesn't list pay. Use the typical machine learning engineer figure when pay comes up. See machine learning engineer jobs
Questions you could be asked
- What NLP problem have you worked on, and how did you measure whether it actually worked?
- Tell me about a project where machine learning was part of your work. What did you do?
- Tell me about a project where software engineering was part of your work. What did you do?
- Tell me about a project where predictive modeling was part of your work. What did you do?
- Walk me through how you've used PyTorch in your day-to-day work.
Adapt your resume
- List these exact terms on your resume: NLP, Machine learning, Software Engineering, Predictive Modeling, and PyTorch. An applicant tracking system matches the wording, not the idea.
- Attach one line of real, concrete experience to at least one of them. A tool named with nothing behind it rarely survives a human read.
- Lead with what you built, trained or shipped. This role is judged on the AI system itself, not the tools around it.
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