Staff Machine Learning Engineer

Key Skills

Java Programming, Python Programming, SQL

Job Description

Cision employs the brightest, most passionate people in the tech industry. We’d love for you to join our growing team! We invest in our people through training and professional development while supporting you along the way—all so you can meet your career goals. To us, the most important measure of our success is yours.

Cision analyzes massive amounts of data to help public relations teams better manage their brands and is investing in data science to improve the products we offer. You have a chance to be a part of this at an early stage - helping drive significant value by working on highly visible projects that involve challenging machine learning problems.

As a Staff Machine Learning Engineer, your primary focus will be building machine learning systems that integrate with our products. This will require a good understanding of the machine learning project lifecycle, the ability to write highly-performant code, and an excellent understanding of software engineering best practices.

On any given day you’ll be…

• Setting up and running distributed training and inference cycles using AWS Sage Maker
• Building scalable ETL pipelines using various AWS services like S3, EMR, Lambdas, etc.
• Building model inference pipelines to better understand the efficacy of models in production or for compliance reporting
• Searching for open sourced models to solve various NLP tasks

Responsibilities

• Design, build and deploy machine learning systems
• Work independently to build tools and services to improve machine learning processes
• Work closely with data scientists, product managers, and other engineers, to translate prototypes into production systems
• Design large scale data processing pipelines
• Contribute to team’s technical vision, and design and direction for marquee features
• Demonstrate sound judgement in taking risks, managing workload, escalating issues and concerns
• ??Provide mentorship and guidance to others on numerous aspects of software development as it relates to machine learning, and data science as needed

Qualifications

• Minimum of 5 years of professional experience, preferably in a software development environment
• Minimum of 3 years of experience productionalizing advanced mathematical and statistical techniques to business problems
• Expertise in building production ML software both in batch & in real-time
• Experience integrating API endpoints for serving machine learning models
• Experience building pipelines with tools such as Apache Spark and EMR
• Proficient with several ML/NLP frameworks (scikit-learn, TensorFlow, PyTorch, Theano)
• Advanced degree in a relevant quantitative field (e.g., computer science, mathematics, statistics, etc.)
• Experience building systems in cloud environment a plus or, equivalent combination of education and experience.