Principal Machine Learning Engineer
Location
United States
Posted
2 days ago
Salary
$197.3K - $265K / year
Job Description
Job Requirements
- Must have 10+ years of professional experience delivering production ML systems at scale, including significant ownership of architecture and platform strategy
- Must have expert coding skills in Python and strong SQL; proven software engineering maturity (testing, CI/CD, design reviews, documentation)
- Demonstrated ability to apply ML techniques in code to build predictive systems at scale (including deep learning where appropriate)
- Proven ability to influence across teams and drive organizational standards for data/ML reliability, governance, and interoperability
- Deep experience with distributed compute/data platforms and performance optimization
- 12+ years total experience, with hands-on work in media, advertising technology, or cross-platform audience measurement
- Flagship production experience with deep-learning, genAI, or retrieval-augmented systems (PyTorch, vector databases) and real-time data pipelines (Kafka, Pub/Sub, Kinesis)
- Strong understanding with modern MLOps stacks (e.g., MLflow, Kubeflow, Vertex AI, SageMaker) and model-governance practices (metadata, lineage, drift detection)
- Certifications such as Google Professional Machine Learning Engineer, AWS Certified Machine Learning – Specialty, or equivalent cloud/data credentials
- Contributions to open-source ML or data-engineering projects, conference presentations, or peer-reviewed publications
- Experience in media/ad tech, identity graphs, audience measurement, or interoperability layers
- Experience with modern MLOps platforms (MLflow, Kubeflow, Vertex AI, SageMaker) and model governance practices
Benefits
- A bonus and/or long-term incentive units may be provided as part of the compensation package
- Full range of medical, financial, and/or other benefits, dependent on the level and position offered
Related Guides
Related Job Pages
More Machine Learning Engineer Jobs
The Machine Learning Engineer will build and deploy ML models, applying modern techniques to solve problems and collaborate with teams on ML-driven features.
Senior Machine Learning Engineer
CareforthFounded in Boston, Careforth's caregiver programs and services improve health outcomes, keeping care at home longer. Additionally, our programs provide financial benefit to caregivers and cost savings to state agencies and health plans. At Careforth, we understand the challenges of caregiving and are committed to supporting family caregivers at every turn. Caregivers play a critical role in the future of healthcare—and so can you.
The Senior Machine Learning Engineer will design and implement scalable NLP architectures, including Transformers and Generative AI frameworks, to transform unstructured caregiver notes into production-grade AI models. Responsibilities also include building robust preprocessing pipelines, fine-tuning LLMs, and leading the adoption of MLOps best practices for CI/CD.
Machine Learning Engineer II
Kohl'sIt’s no secret that our associates love #LifeAtKohls and we know you will too.
Machine Learning Engineer supporting data-driven projects at Kohl's
AI/Machine Learning Internship at VSP Vision working on agentic frameworks
