Principal Machine Learning Engineer, Equinix
CA$154-232k
+ Bonus
More information about location
Digital infrastructure company
Be an early applicant
Digital infrastructure company
1001+ employees
Be an early applicant
CA$154-232k
+ Bonus
More information about location
1001+ employees
Company mission
To provide finance, manufacturing, transport, government, and healthcare organizations a cloud-first world.
Role
Who you are
- PhD with 5+ years, Master’s with 6+ years, or Bachelor’s with 7+ years of experience in Machine Learning, Computer Science, Data Science, or a related field
- Strong proficiency in Python for machine learning and production systems
- Solid understanding of software engineering fundamentals, system design, and design patterns
- Hands-on experience with at least one major cloud platform (GCP, Azure, or AWS)
- Experience building and deploying production-grade ML systems
- Strong communication skills with the ability to explain technical concepts and results to both technical and non-technical stakeholders
- Excellent time management, collaboration, and organizational skills
What the job involves
- As a Principal Machine Learning Engineer, you will design, build, deploy, and scale machine learning and generative AI systems that power real-world products
- You will work closely in AI Sidekick team and business teams to translate advanced ML and LLM capabilities into reliable, production‑grade solutions across multi‑cloud environments including GCP, AWS, and Azure
- This role blends applied machine learning, software engineering, and MLOps, with a strong focus on building robust, scalable systems rather than purely academic research
- Design, develop, and deploy machine learning and Large Language Model (LLM)–based solutions for production use cases
- Collaborate with Generative AI Center of Excellence leaders and business stakeholders to evaluate buy vs. build decisions for generative AI applications
- Develop end-to-end ML pipelines, covering data ingestion, feature engineering, model training, evaluation, deployment, and monitoring
- Architect and implement LLM-powered systems that integrate agents and services across multiple cloud platforms into a unified solution
- Optimize ML workflows for performance, scalability, reliability, and cost efficiency in cloud environments (GCP, Azure, AWS)
- Implement and maintain MLOps best practices, including CI/CD, model versioning, experiment tracking, and automated retraining
- Work extensively with deep learning frameworks such as PyTorch and TensorFlow
- Containerize ML services and deploy them using Docker, Kubernetes, App Engine, or virtual machines
- Apply strong knowledge of NLP fundamentals, including transformers, attention mechanisms, embeddings, and text preprocessing
- Deploy and manage models in production, conduct A/B testing, and measure performance improvements using statistical methods
- Develop features, run experiments, analyze results, and translate insights into actionable improvements
- Build and deploy classical ML models (regression, classification, clustering), NLP applications (sentiment analysis, summarization, Q&A, chatbots, information retrieval), and computer vision solutions (image classification, object detection, segmentation using models such as YOLOv7, DDRNet, RFTM with datasets like COCO and Cityscapes)
Our take
Equinix is a veteran player in the digital infrastructure market, connecting industry-leading organizations in finance, manufacturing, retail, transportation, government, healthcare, and education.
The company provides a range of services within the categories of digital, support, data center, and interconnection, with capabilities including, for example, simplifying hybrid cloud deployments or securing on-site deployments. It has an extensive range of partners, granting its clients access to a vast range of industry-leading technologies atop its own offerings.
With a wide global presence, Equinix has secured a path to continued success by its ability to keep abreast of developments in the space. The company is comfortably positioned to remain a robust and leading player across multiple growth avenues and can be expected to make more smart developments and partnerships in the future.
Kirsty
Company Specialist at Welcome to the Jungle
Insights
9% employee growth in 12 months
Company
Company HQ
Redwood Shores, Redwood City, CA
Leadership
Adaire Fox-Martin
(CEO & President)Prior to becoming CEO of Equinix in 2024, Adaire spent nearly 3 years at Google in various roles, including Head of Google Ireland and President of Google Cloud Go to Market. She also spent nearly 14 years at SAP and over 18 years at Oracle Corporation.
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