Senior Machine Learning Engineer (MLOps)
San Francisco OR Remote US/Canada
Scribd
Explore over 170M documents from a global community. Share information, and find inspiration on Scribd.About the teamApplied Research works on a variety of ML and NLP projects like spam detection, language identification, and text embeddings. We work on Scribd’s unique and massive dataset consisting of hundreds of millions of documents, books, audiobooks, and podcasts. We’re seeking a skilled Senior ML Engineer that specializes in MLOps to help us productionize our wide variety of real time & batch processing models. Our team of 5 data scientists are excited to learn from you about how to efficiently build scalable production systems and to share their knowledge of building high performance machine learning models.
About YouYou enjoy teaching the skills you’ve acquired. As a senior ML engineer you’ve developed the ability to deeply understand the larger data ecosystem system from model requirements to business needs. You focus on designing tools and capabilities that help the team deploy more models to production. You’re able to connect what you’re building to the downstream impact of how it will improve the product.
You will:Design and implement ML systems that scale to reach millions of people.Package tests, build containers, and deploy artifacts in CI/CD pipelines.Work with our AWS tech stack leveraging S3, ECR, CodeBuild, AWS Lambda, Sagemaker, & Databricks.Create the interfaces, infrastructure, and clusters to process data efficiently.Work with other teams improve Scribd’s ML platform: logging, monitoring, scalability, model retraining, automated testing, environment isolation, and model health monitoring.Build pipelines that process terabytes of data.Collaborate across teams to determine the highest-impact opportunities.
You Have:4+ years of relevant work experience automating ML pipelines and deploying ML models in production environments.Advanced Spark or Pyspark skills.Intermediate Python and SQL skills.Experience optimizing infrastructure usage for performance, reliability, and cost.An understanding of fundamental ML concepts and exposure to ML libraries like TensorFlow, Pytorch, and Scikit-learn.Knowledge of relevant software design patterns and system architecture.Experience working with the AWS technology stack and frameworks and environments such as Airflow and Docker.Benefits, Perks and Wellbeing at Scribd
• Healthcare Benefits: Scribd pays 100% of employee’s Medical, Vision, and Dental premiums and 70% of dependents• Leaves: Paid parental leave, 100% company paid short-term/long-term disability plans, and milestone Sabbaticals• 401k plan through Fidelity, plus company matching with no vesting period• Diversity, Equity, & Inclusion hiring best practices• Stock Options - every employee is an owner in Scribd! • Generous Paid Time Off, Paid Holidays, Flexible Sick Time, Volunteer Day + office closure between Christmas Eve and New Years Day• Referral bonuses• Professional development: generous annual budget for our employees to attend conferences, classes, and other events• Company-wide Diversity, Equity & Inclusion training• Learning & Development and Coaching programs• Monthly Wellness, Connectivity & Comfort Benefit• Concern mental health digital platform• Work-life balance flexibility• Employee Resource Groups that build community and support among employees• Company events + Scribdchats• Free subscription to Scribd + gift memberships for friends & family• Monthly inclusive multi-cultural celebrations & learning opportunities
Want to learn more? Check out our office and meet some of the team at www.linkedin.com/company/scribd/life
Scribd is committed to equal employment opportunity regardless of race, color, religion, national origin, gender, sexual orientation, age, marital status, veteran status, disability status, or any other characteristic protected by law.
We encourage people of all backgrounds to apply. We believe that a diversity of perspectives and experiences create a foundation for the best ideas. Come join us in building something meaningful.
Tags: Airflow Architecture AWS CI/CD Databricks Docker Lambda Machine Learning ML models MLOps NLP Pipelines PySpark Python PyTorch Research SageMaker Scikit-learn Spark SQL TensorFlow Testing
Perks/benefits: 401(k) matching Career development Conferences Equity Flex hours Flex vacation Health care Medical leave Parental leave Team events Wellness
More jobs like this
Explore more AI, ML, Data Science career opportunities
Find even more open roles in Artificial Intelligence (AI), Machine Learning (ML), Natural Language Processing (NLP), Computer Vision (CV), Data Engineering, Data Analytics, Big Data, and Data Science in general - ordered by popularity of job title or skills, toolset and products used - below.
- Open MLOps Engineer jobs
- Open Lead Data Analyst jobs
- Open Data Science Manager jobs
- Open Data Manager jobs
- Open Senior Business Intelligence Analyst jobs
- Open Data Engineer II jobs
- Open Sr Data Engineer jobs
- Open Principal Data Engineer jobs
- Open Power BI Developer jobs
- Open Business Intelligence Developer jobs
- Open Junior Data Scientist jobs
- Open Data Analytics Engineer jobs
- Open Product Data Analyst jobs
- Open Data Scientist II jobs
- Open Sr. Data Scientist jobs
- Open Senior Data Architect jobs
- Open Business Data Analyst jobs
- Open Data Analyst Intern jobs
- Open Big Data Engineer jobs
- Open Manager, Data Engineering jobs
- Open Azure Data Engineer jobs
- Open Data Product Manager jobs
- Open Data Quality Analyst jobs
- Open Principal Data Scientist jobs
- Open Junior Data Engineer jobs
- Open GCP-related jobs
- Open Data quality-related jobs
- Open Business Intelligence-related jobs
- Open Java-related jobs
- Open ML models-related jobs
- Open Data management-related jobs
- Open Privacy-related jobs
- Open Finance-related jobs
- Open Data visualization-related jobs
- Open Deep Learning-related jobs
- Open PhD-related jobs
- Open APIs-related jobs
- Open TensorFlow-related jobs
- Open PyTorch-related jobs
- Open NLP-related jobs
- Open Consulting-related jobs
- Open Snowflake-related jobs
- Open CI/CD-related jobs
- Open Kubernetes-related jobs
- Open LLMs-related jobs
- Open Generative AI-related jobs
- Open Data governance-related jobs
- Open Hadoop-related jobs
- Open Airflow-related jobs
- Open Docker-related jobs