Staff ML Data Engineer

What we're looking for

The Machine Learning Platform (MLP) team’s charter is to build out a machine learning platform that accelerates the efficient adoption of machine learning across all Momentive portfolio products. Our goal is to build applications and tools that enable the scalability of ML along all points of the lifecycle of an AI project, from feature discovery to model training, from model deployment to post-production monitoring and evaluation.

We help our customers make great decisions based on the tools we create on top of the millions of survey responses we receive daily. To do that well, we use applied machine learning techniques including natural language processing, classification, spam detection, personalization / ranking. We do this at a significant scale and generally in real-time.

You will

• You will build scalable, performant and extendable data stores and pipelines which will give the ML team ability to have access to high quality, trusted data that will be used for exploration, models training and for supporting data enrichment for prediction generation for both offline and runtime use cases.
• You Will be working with Momentive application engineers to integrate the ML model services into Momentive product portfolio.
• You will report to our Machine Learning Manager.

You have

• At least 10+ years professional software engineering experience with strong programming skills in languages like Python or Java working on building and deploying large-scale applications.
• Experience building scalable, performant and extendable data stores with large amounts of structured and unstructured data (using f.e. AWS Redshift, Snowflake, etc.).
• Experience designing, implementing and maintaining scalable, efficient and reliable data pipelines with data quality checks and validation processes to ensure data accuracy and consistency.
• Experience implementing data governance policies and procedures to ensure compliance with data privacy and security regulations.
• Experience using workflow management platforms like Airflow to automate data pipelines and machine learning workflows.
• Experience building cloud infrastructure using AWS services (e.g. Glue, EMR, Athena, Sagemaker, Lambda, EKS, etc.) to support the machine learning models development and deployment.
• Very comfortable with Unix/Linux operating systems. We favor Ubuntu.
• Strong in collaborating with other engineers, data scientists, and product managers to identify business problems and implement solutions.

Who we are and what we do

Momentive (NASDAQ: MNTV), maker of SurveyMonkey, is a leader in agile experience management, delivering powerful, purpose-built solutions that bring together the best parts of humanity and technology to redefine AI. Momentive products, including GetFeedback, SurveyMonkey, and its brand and market insights solutions, empower decision-makers at 345,000 organizations worldwide to shape exceptional experiences. More than 20 million active users rely on Momentive to fuel market insights, brand insights, employee experience, customer experience, and product experience. Our vision is to improve human experiences by amplifying individual voices. Learn more at Momentive.ai.

What we offer our employees

Momentive is a place where the curious come to grow and shape what's next. By embedding inclusion into our processes, policies, benefits, and culture for our 1,400+ employees across North America, Europe, and APAC, we're building a workplace where people of every background can excel. 

In addition, we've won multiple Culture and Employee awards, including Comparably's Best Workplace for Women and Diversity and Best Company for Perks and Benefits and Work-Life Balance, and received recognition for our forward-looking benefits policies, including best workplace for parents, vendor benefits standards, and our annual holiday refresh.

Our commitment to an inclusive workplace

Momentive is an equal opportunity employer and is committed to providing a workplace free from harassment and discrimination. We celebrate the unique differences of our employees because that is what drives curiosity, innovation, and the success of our business. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, gender identity or expression, age, marital status, veteran status, disability status, pregnancy, parental status, genetic information, political affiliation, or any other status protected by the laws or regulations in the locations where we operate. Accommodations are available for applicants with disabilities.

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