Senior Machine Learning Engineer/Machine Learning Engineer III

About the Role

Key Responsibilities

• Own exploration, design and execution of advanced ML models, algorithms and frameworks that deliver value to our users.
• Apply machine learning techniques including LLMs, knowledge graphs, deep learning including generative models, natural language understanding, and named entity recognition to analyze large sets of HR and Finance-related text data, and design and launch pioneering cloud based machine learning architectures.
• Own the performance, scalability, metric based deployed evaluation, and ongoing data driven enhancements of your products.
• Keep abreast of the latest advancements in NLP research, techniques, and tools and apply this knowledge onto ML features.
• Collaborate with a team of innovative engineers to deliver AI-powered agents that integrate deeply into HR and Financial workflows, accelerating intelligent decision making.

Requirements

• Bachelor's (Master's or PhD preferred) degree in engineering, computer science, physics, math or equivalent.
• 5+ years experience as a member of a machine learning engineering, or other relevant software development team building applied machine learning products at scale, including taking products through applied research, design, implementation, production, and production-based evaluation.
• 5+ years of professional experience with Python and supporting numeric libraries, with experience in shipping production code and models.
• 3+ years of professional experience in machine learning and deep learning frameworks & toolkits such as Pytorch, TensorFlow, Huggingface.
• 3+ years of professional experience in building services to host machine learning models in production at scale with cloud computing platforms (e.g., AWS, GCP).
• 3+ years of professional experience working with large language models (LLMs), text generation models, and/or graph neural network models for real-world use cases.

Nice to Have

• Deep understanding of statistical analysis, unsupervised and supervised machine learning algorithms, and natural language processing for information retrieval and/or recommendation system use cases.
• Professional experience in independently solving ambiguous, open-ended problems and technically leading teams.
• Stay up to date with advancements in AI, LLMs, RAG, autonomous agents and orchestration frameworks to drive innovation.
• Proven track record of successfully leading, mentoring, and/or managing ML Engineering teams, taking ownership of development lifecycle and sprint planning.

Qualifications

• Bachelor's (Master's or PhD preferred) degree in engineering, computer science, physics, math or equivalent.
• Experience building applied machine learning products at scale, including research, design, implementation, and evaluation.
• Experience with cloud platforms such as AWS or GCP.
• Experience working with large language models, text generation, or graph neural networks.

Benefits & Perks

• Role may be eligible for the Workday Bonus Plan or a role-specific commission/bonus, as well as annual refresh stock grants.
• Competitive salary ranges based on location and experience.
• Flexible work approach combining in-person and remote work, with at least 50% in-office or in-field time each quarter.
• Comprehensive benefits package (details available during hiring).