Senior Machine Learning Engineer

Position Overview

Our Advanced Learning Systems team is seeking a senior machine learning engineer. The team is in need of someone who is a skilled of standard data and ML pipelines, ML system design and modeling, and optimization techniques.

Deployment skills are NOT a must but a plus. As a machine learning engineer, you will be building state-of-the-art ML models for different industrial applications.

Job Duties / Responsibilities

• Design, train and deliver machine learning solutions to a wide range of datasets : from small datasets to big data, time series to 3D matrices, both unlabeled and labeled
• Collaborate with the development team and ML engineers to implement, test and validate new algorithms and integrate the algorithms with the existing frontend and backend systems
• Develop optimization tools on top of ML models to recommend optimal operation

As an individual contributor) Build state-of-the-art models for various modeling tasks (e.g., time series forecasting, spatiotemporal and traffic / logistic)

• Break down problems and propose solution roadmap
• Mentor junior engineers, perform code reviews and document design decisions

Minimum Qualifications

• PhD or MS in Computer Science, Electrical Engineering or similar field
• 5+ years of experience with one modern coding languages, e.g., C++, Python
• 5+ years of experience with machine learning tools and deep learning algorithms and techniques, including but not limited to : PyTorch, TensorFlow, KerasCNN, LSTM, RNNScikit-learn, pandas, numpy
• Optimization techniques and fine-tuning models, e.g., scipy.optimize, optuna,
• Able to work independently on problems and in highly collaborative team environments
• Team management and mentoring junior members
• Effective communication with internal and external sources
• Time and project management

Preferred Qualifications

• Graph-based Machine Learning
• Research experience with high impact publications
• Application of ML in industrial projects
• Experience with MLOps and other production level implementation frameworks and pipelines
• Experience with messaging systems, Docker, Kubernetes, Spark, EMR, and cloud platforms (AWS or Azure)

This position is located in our Glendale, CA headquarters and is eligible to participate in the company's hybrid 3 / 2 work model.

The hiring range for this position in Glendale, CA is listed below as a yearly salary. The base pay actually offered will take into account internal equity and also may vary depending on the candidate’s geographic region, job-related knowledge, skills, and experience among other factors.

A bonus and / or company stock options may be provided as part of the compensation package, in addition to the full range of medical, financial, and / or other benefits, dependent on the level and position offered.

Hiring Range$151,759 $171,924 USD