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The goal is to generate defensible, valid, scalable, reproducible, and well-documented machine learning and artificial intelligence models (predictive or optimization) to support problem-solving and strategic decision-making. Within the System Performance, Reliability and Resiliency Strategy team, t
Job function Engineering and Information Technology Industries Software Development Referrals increase your chances of interviewing at Motive Software by 2x Get notified about new Machine Learning Engineer jobs in. Research Engineer - Machine Learning (ML). Own the production lifecycle: data prep, e
Hands-on experience developing end to end machine learning systems: defining and creating metrics and datasets, training models and performing error triaging. We are looking for an exceptional candidate to help architect the future of localizing and scaling Machine Learning models and datasets. Hand
Experience with SQL/NoSQL database technologies, data warehouse frameworks like BigQuery/Snowflake/RedShift/Iceberg and data pipeline frameworks like GCP Dataflow/Apache Beam/Spark/Kafka. Our team is in charge of data generation, introspection and evaluation frameworks that are key to efficiently de
Our products provide the high-quality data and full-stack technologies that power the world's leading models, and help enterprises and governments build, deploy, and oversee AI applications that deliver real impact. We collect, retain and use personal data for our professional business purposes, inc
Within the System Performance, Reliability and Resiliency Strategy team, this position reports to the Senior Manager of Reliability Analytics and is responsible for developing advanced data science models and industry-leading anomaly detection techniques to identify potential failures and enhance th
As a startup, we disrupted the credit card industry by individually personalizing every credit card offer using statistical modeling and the relational database, cutting edge technology in 1988! Fast-forward a few years, and this little innovation and our passion for data has skyrocketed us to a For
Work collaboratively with cross-functional partners including software engineers, product managers, operations and data scientists, identify opportunities for business impact, understand, refine, and prioritize requirements for machine learning models, drive engineering decisions, and quantify impac
Build and deploy machine learning models to identify, assess and mitigate risks Responsible for driving research in the problem space, working with stakeholders to understand model requirements, developing the model from scratch, deploying the model alongside your engineering counterparts, and monit
Our products provide the high-quality data and full-stack technologies that power the world's leading models, and help enterprises and governments build, deploy, and oversee AI applications that deliver real impact. We collect, retain and use personal data for our professional business purposes, inc
Your team’s impact will span from the software foundations of ATLAS – tying our high-throughput chemistry and biology platform into a smoothly humming data engine – through the data science and machine learning directing the platform and scaling model development to accelerate drug discovery f
Interacting and occasionally having unsupervised contact with internal/external clients and/or colleagues; Appropriately handling and managing confidential information including proprietary and trade secret information and access to information technology systems; and Exercising sound judgment. Buil