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Jobs via Dice · 17 hours ago

Principal Machine Learning Engineer - Evisort AI

Seattle, WA

Full-time

Hybrid

Lead/Staff

$215K/yr - $323K/yr

10+ years exp

Workday is a Fortune 500 company and a leading AI platform focused on managing people, money, and agents. As a Principal Machine Learning Engineer, you will develop tailored user experiences using advanced machine learning techniques and collaborate with engineers to deliver ML solutions across Workday's product ecosystem.

Computer Software

Responsibilities

Help develop tailored user experiences using advanced LLMs, Knowledge Graphs, personalization, and predictive analysis

Collaborate with other engineers to deliver ML solutions across Workday's product ecosystem

Utilize software and data engineering stacks to enable training, deployment, and lifecycle management of various ML models

Develop and deploy new products at scale and leverage Workday's vast computing resources on rich datasets to deliver transformative value to our customers

Contribute to feature and service development with a focus on continuous improvement, quality, scale, and security

Question or challenge choices and practices for improvement

Maintain a product approach and strong intuition around how ML can drive a better customer experience

Exhibit a strong sense of ownership and teamwork

Qualification

Machine Learning EngineeringDeep Learning FrameworksLarge Language ModelsCloud Computing PlatformsStatistical AnalysisNatural Language ProcessingTeam LeadershipContinuous ImprovementInterpersonal SkillsCommunication Skills

Required

10+ years experience as a member of a data science, 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

4+ years of professional experience in machine learning and deep learning frameworks & toolkits such as Pytorch, TensorFlow

6+ years of professional experience in building services to host machine learning models in production at scale

3+ years of demonstrated experience working with large language models (LLMs), text generation models, and/or graph neural network models for real-world use cases

6+ years of proven experience with cloud computing platforms (e.g. AWS, Google Cloud Platform, etc.)

Proven track record of successfully leading, mentoring, and/or managing ML Engineering teams, taking ownership of development lifecycle and sprint planning; fostering a culture of collaboration, transparency, innovation, and continuous improvement

Bachelor's (Master's or PhD preferred) degree in engineering, computer science, physics, math or equivalent

Preferred

Stay up to date with advancements in AI, LLMs, RAG, autonomous agents and orchestration frameworks to drive innovation

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

Excellent interpersonal and communication skills, with the ability to build strong relationships across teams and stakeholders