Dieses Stellenangebot ist nicht mehr verfügbar
Über
We're looking for a Senior Machine Learning Engineer to lead the design, architecture, and optimization of high-impact ML discovery features that serve millions of users in near real time. You'll work across the entire lifecycle from data ingestion to model training, deployment, and monitoring with a focus on creating fast, reliable, and cost-efficient pipelines. In this role, you will: Lead complex, cross-team projects from conception to production deployment. Drive technical direction for end-to-end, production-grade ML systems for advanced search capabilities and document understanding. Develop and operate services that power high-traffic pipelines for content discovery and knowledge synthesis. Run large-scale A/B and multivariate experiments to validate models and feature improvements. Mentor other engineers and establish best practices for building scalable, reliable ML systems. Our Machine Learning Engineers use a range of technologies to build and operate large-scale ML systems. Our regular toolkit includes: Languages: Python, Golang, Scala, Ruby on Rails Orchestration & Pipelines: Airflow, Databricks, Spark ML & AI: AWS Sagemaker, Embedding-based Retrieval (Weaviate), Feature Store, Model Registry, Model Serving platforms (Weights and Biases), LLM providers like OpenAI, Anthropic, Gemini, etc. APIs & Integration: HTTP APIs, gRPC Infrastructure & Cloud: AWS (Lambda, ECS, EKS, SQS, ElastiCache, CloudWatch), Datadog, Terraform Key responsibilities include: Train, evaluate, and deploy ML models (including generative models) to production using Scribd's internal platform and industry-standard frameworks. Collaborate with engineering and analytics teams to build large-scale ingestion, transformation, and validation pipelines on Databricks. Optimize systems for performance, scalability, and reliability across massive datasets and high-throughput services. Design and run A/B and N-way experiments to measure the impact of model and feature changes. Partner with product managers, data scientists, and analysts to identify opportunities, define requirements, and deliver solutions that solve real user problems. Requirements include: 6+ years of experience as a professional ML engineer or software engineer, with a proven track record of delivering production ML systems at scale. Proficiency in at least one key programming language (preferably Python or Golang; Scala or Ruby also considered). Expertise in designing and architecting large-scale ML pipelines and distributed systems. Deep experience with distributed data processing frameworks (Spark, Databricks, or similar). Strong cloud expertise (preferably GCP; also AWS and/or Azure) and experience with deployment platforms (ECS, EKS, Lambda). Experience with embedding-based retrieval, large language models, advanced information retrieval and ranking systems. Experience working with Search systems like query parsing, query intent classification, bm25, reranking, etc. Proven ability to optimize system performance and make informed trade-offs in ML model and system design. Experience leading technical projects and mentoring engineers. Bachelor's or Master's degree in Computer Science or equivalent professional experience. At Scribd, your base pay is one part of your total compensation package and is determined within a range. Our pay ranges are based on the local cost of labor benchmarks for each specific role, level, and geographic location. San Francisco is our highest geographic market in the United States. In the state of California, the reasonably expected salary range is between $157,500 [minimum salary in our lowest geographic market within California] to $230,000 [maximum salary in our highest geographic market within California]. In the United States, outside of California, the reasonably expected salary range is between $129,500 [minimum salary in our lowest US geographic market outside of California] to $220,000 [maximum salary in our highest US geographic market outside of California]. In Canada, the reasonably expected salary range is between $165,000 CAD[minimum salary in our lowest geographic market] to $218,000 CAD[maximum salary in our highest geographic market]. We carefully consider a wide range of factors when determining compensation, including but not limited to experience; job-related skill sets; relevant education or training; and other business and organizational needs. The salary range listed is for the level at which this job has been scoped. In the event that you are considered for a different level, a higher or lower pay range would apply. This position is also eligible for a competitive equity ownership, and a comprehensive and generous benefits package.
Sprachkenntnisse
- English
Hinweis für Nutzer
Dieses Stellenangebot wurde von einem unserer Partner veröffentlicht. Sie können das Originalangebot einsehen hier.