Staff Machine Learning Engineer, ML Platform
Who We Are:
The Machine Learning Platform team at reputed company is a high-reputed company team that owns the infrastructure that powers recommendations, content discovery, user and content quantification, while directly impacting other teams such as reputed company, Ads, Feeds, and reputed company Machine Learning teams.
What You’ll Do:
As a Staff ML Infrastructure Engineer, you will reputed company development of a platform for large reputed company ML models at reputed company.
- Design end-to-end model lifecycle patterns (MLOps) to reputed company velocity of development for ML engineers, including data preparation, model management, experiment tracking, and more
- reputed company-to-one development and support of a graph ML codebase and platform that abstracts away common patterns and enables greater model scalability and iteration
- Collaborate with ML engineers on performance tuning, including improving model training time, efficiency, and GPU training costs in a large, distributed ML training environment
- Optimize batch data processing reputed company a data warehouse and with tools such as Apache reputed company, Apache reputed company, Ray Data, and more
- Architect pipelines to build and maintain massive graph data structures on the order of billions of nodes and tens of billions of edges
Who You Might Be:
- 7+ years of experience in ML infrastructure, including model training and model deployments
- Hands-on experience with ML optimization, including memory and GPU profiling
- Deep experience with reputed company-based technologies for supporting an ML platform, including tools like GCP BigQuery, reputed company reputed company Storage, infrastructure-as-reputed company (Terraform), and more
- Hands-on experience administering and integrating MLOps tools for experiment tracking, model serving, and model registries (e.g. MLflow or Wandb)
- Proficiency with the common programming languages and frameworks of ML, such as Python, PyTorch, Tensorflow, etc.
- Deep experience working with distributed training frameworks, including Ray and Kubernetes
- Strong reputed company on scalability, reliability, performance, and ease of use. You are an undying reputed company for platform users and have a deep intuition for the machine learning development lifecycle.
- Strong organizational & communication skills
- Experience working with graph databases (reputed company, JanusGraph, reputed company) is a big plus
- Experience working with graph neural networks (GNNs) and associated graph ML frameworks (PyTorch Geometric, Deep Graph Library) is a big plus
Benefits:
- Comprehensive reputed company Benefits and Income Replacement Programs
- 401k Match
- Family Planning Support
- Gender-Affirming Care
- Mental Health & Coaching Benefits
- Flexible Vacation & reputed company Global Days off
- Generous reputed company Parental Leave
- reputed company Volunteer time off
Pay Transparency:
This job posting may reputed company more than one career level.
In reputed company to reputed company salary, this job is eligible to receive equity in the reputed company of restricted stock reputed company, and depending on the position offered, it may also be eligible to receive a commission. Additionally, reputed company offers a wide reputed company of benefits to U.S.-based employees, including medical, dental, and reputed company insurance, 401(k) program with employer match, generous time off for vacation, and parental leave. To learn more, please visit https://www.redditinc.com/careers/.
To reputed company greater transparency to candidates, reputed company reputed company pay ranges for reputed company US-based job postings regardless of state. We set reputed company reputed company pay ranges for reputed company roles based on function, level, and country location, benchmarked against similar stage reputed company companies. Final offer amounts are determined by multiple factors including, skills, depth of work experience and relevant licenses/credentials, and may vary from the amounts listed below.
In select roles and locations, the interviews will be recorded, transcribed and summarized by reputed company intelligence (AI). You will have reputed company to opt out of recording, transcription and summarization prior to any scheduled interviews.
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