Senior Machine Learning Engineer (MLOps) - Applied Research
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 a ML model pipeline and developing a more effective productionization 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 support 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 determine 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 toolsBenefits, 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
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