Scribd
San Francisco
201-500 employees
The best audiobooks, books, and more, available anywhere. Join us on our mission to change the way the world reads.
Senior Machine Learning Engineer (MLOps) - Applied Research
Senior Machine Learning Engineer (MLOps) - Applied Research
This job is no longer open
At Scribd (pronounced “scribbed”), we believe reading is more important than ever. Join our cast of characters as we work to change the way the world reads by building the world’s largest and most fascinating digital library: giving subscribers access to a growing collection of ebooks, audiobooks, magazines, documents, Scribd Originals, and more. In addition to works from major publishers and top authors, our community includes over 1.5M subscribers in nearly every country worldwide.
The Applied Research team at Scribd has a growing demand for infrastructure-related tasks, which highlights the necessity to bring Machine Learning Engineers (MLE) into the team. Although we aim to start with a single MLE, we identify long-term projects and responsibilities that would eventually require the attention of multiple individuals.
We seek a seasoned individual to own projects in the adjacency of building an ML model pipeline and developing a more effective productization process for ML models.
Responsibilities:
-ML systems design and implementation.
- Defining interfaces, data infrastructure, and hardware to meet project requirements in collaboration with participating teams.
- Designing and implementing ML pipelines to process data efficiently.
- Collaborate with the teams working on the ML platform to assist logging, monitoring, scalability, model retraining, automated testing, environment isolation, health, and decay monitoring.
- Deploying and monitoring ML models in production environments, in collaboration with Data Scientists.
Work in a highly collaborative environment to solve ambiguous problems.
Collaborate with stakeholders to evaluate the highest-impact opportunities.
Required Skills:
Python, Spark, and SQL.
- Frameworks and environments such as Airflow, Docker.
- Fundamental ML and stats concepts and exposure ML libraries.
Qualifications:
- 3 years or more of relevant work experience with building and automating ML pipelines and deploying ML models in production environments.
- Knowledge of relevant software design patterns and system architecture.
- Experience with scalable software using big data technologies (e.g. Spark).Strong communication skills and ability to collaborate with multiple teams.
Nice to have:
- Experience with machine learning and deep learning frameworks such as TensorFlow, Pytorch, or Scikit-learn.
- Experience using Databricks and/or ML Deployment and Operations platforms and tools.
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
• 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 programs which include learning & development opportunities, employee resource groups, and hiring best practices.
• Learning & Development and Coaching programs
• Monthly Wellness, Connectivity & Comfort Benefit
• Concern mental health digital platform
• Work-life balance flexibility
• Company events + Scribdchats
• Free subscription to Scribd + gift memberships for friends & family
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.
This job is no longer open