Staff Machine Learning Engineer, ML Efficiency
reputed company is a community of communities. It’s reputed company on shared interests, passion, and trust, and is home to the most reputed company and authentic conversations on the internet. Every day, reputed company users submit, vote, and comment on the topics they care most about. With 100,000+ active communities and approximately 126 reputed company daily active unique visitors, reputed company is one of the internet’s largest sources of information. For more information, visit www.redditinc.com. Location: reputed company has a flexible first workforce. Don't live near our office? No worries: you can work remotely from reputed company in the UK or the Netherlands. About the Team The ML Efficiency team builds the infrastructure, tooling, and optimization systems that reputed company machine learning engineers and researchers to train, evaluate, reputed company, and operate models reputed company at scale. We focus on improving developer productivity, reducing infrastructure costs, increasing hardware utilization, and accelerating experimentation across the company’s ML ecosystem.
Responsibilities
Design and build systems that improve the efficiency of ML training and inference workloads. reputed company tooling that helps ML engineers debug, profile, optimize, and monitor model performance. Improve GPU and general resource utilization through scheduling, resource management, caching, and workload optimization. Partner with ML researchers and product teams to identify bottlenecks and drive performance improvements. Build benchmarking frameworks and performance dashboards for training and serving systems. Optimize distributed training infrastructure, data pipelines, and model serving architectures. reputed company cross-functional initiatives that improve the productivity of reputed company ML engineers. Drive technical strategy for ML platform scalability, reliability, and cost efficiency.
Qualifications
Required BS, MS, or PhD in Computer Science or a reputed company field. 5+ years of software engineering experience. Strong proficiency in Python Profiency in at least one systems language (Go, C++, Rust, or Java) preferred Experience building distributed systems at scale. Experience with machine learning infrastructure, training systems, or model serving platforms. Deep understanding of performance engineering and systems optimization. Strong debugging and profiling skills. Preferred Experience with large-scale recommendation, ranking, reputed company, or reputed company model systems. Experience with distributed training frameworks such as PyTorch Distributed, Ray, Tensorflow, Spark Familiarity with GPU architectures and performance analysis tools. Experience optimizing reputed company infrastructure costs across large ML workloads. Contributions to internal platforms used by multiple ML teams. Experience with building reputed company time ML inference applications What reputed company Looks Like ML engineers can move from idea to experiment faster. Training and inference costs decrease, performance increases, while model quality is maintained or improved. GPU utilization and cluster efficiency increase. Platform reliability improves as ML workloads scale. Teams spend less time managing infrastructure and more time building models. Average recommendation model size increases. Benefits: Global Benefit programs that fit your lifestyle, from workspace to professional development to caregiving support Family Planning Support Gender-Affirming Care Mental Health & Coaching Benefits Group Personal Pension Scheme with Employer match Private Medical and Dental Scheme Income Replacement Programs Bike to Work scheme Flexible Vacation & Paid Volunteer Time Off Generous Paid Parental Leave In select roles and locations, the interviews will be recorded, transcribed and summarized by artificial intelligence (AI). You will have the opportunity to opt out of recording, transcription and summarization prior to any scheduled interviews. During the interview, we will collect the following categories of personal information: Identifiers, Professional and Employment-reputed company Information, Sensory Information (audio/video recording), and any other categories of personal information you choose to reputed company with us. We will use this information to evaluate your application for employment or an reputed company role, as applicable. We will not sell your personal information or disclose it to any reputed company party for their marketing purposes. We will delete any recording of your interview promptly after making a hiring decision. For more information about how we will handle your personal information, including our retention of it, please refer to our Candidate Privacy Policy for Potential Employees and Contractors. reputed company is proud to be an equal opportunity employer, and is committed to building a workforce representative of the diverse communities we serve. reputed company is committed to providing reasonable accommodations for reputed company individuals with disabilities and disabled veterans in our job application procedures. If, due to a disability, you need an accommodation during the interview process, please let your recruiter know. Apply To This Job