Robotics Prcocess Automation, LLC
Machine learning
Robotics Prcocess Automation, LLC, San Francisco, California, United States, 94199
This specific role is responsible for designing and implementing algorithm solutions, including fusing disparate data that originates from customers, applying cutting edge analytics models, and returning results that deliver value to customers. The Machine Learning Engineer will work closely with data scientists, BigData Teams, Java Teams, project managers and backend engineers to gather requirements, understand performance characteristics, and identify usage patterns to deliver solutions.Responsibilities:
Develop scalable data processing pipelines for analytical and predictive platform services.Collaborate with other AI scientists and machine learning engineers to find effective solutions to technical challenges.Access, manage, transfer, integrate and analyze complex datasets, especially using SQL or map-reduce techniques.Develop significant code bases and integrate new libraries and frameworks into work.Work with cloud infrastructure (AWS/Azure), particularly cloud storage (S3, Redshift) and computing (EC2, EMR).Utilize big data frameworks such as Cassandra, Spark, and Hadoop.Familiarize with ML lifecycle tools such as MLflow, FBLearner Flow, TFX, and Michelangelo.Engage in analytics development for industrial applications in a commercial setting.Manage and deploy containers using Kubernetes/Docker.Work with analytics frameworks and languages such as TensorFlow, Sci-kit learn, Spark, Scala, R, Python, MATLAB, etc.Qualifications:
S. or Ph.D. in Computer Science or related technical field.Strong computer science fundamentals, debugging skills, and knowledge of algorithms.Excellent foundation and demonstrable experience in recommendations and information retrieval algorithms.Experience and interest in machine learning and AI, and in working with real-world data sets.Very strong in Data Science Models.Production-quality developer in Python, C/C++, Java, or other general-purpose language.Demonstrated awareness of how to succeed in ambiguous circumstances.Determination - even when experiments fail, the ability to try again is key.ROBOTIC PROCESS AUTOMATION LLC is an equal opportunity employer inclusive of female, minority, disability and veterans, (M/F/D/V). Hiring, promotion, transfer, compensation, benefits, discipline, termination and all other employment decisions are made without regard to race, color, religion, sex, sexual orientation, gender identity, age, disability, national origin, citizenship/immigration status, veteran status or any other protected status. ROBOTIC PROCESS AUTOMATION LLC will not make any posting or employment decision that does not comply with applicable laws relating to labor and employment, equal opportunity, employment eligibility requirements or related matters. Nor will ROBOTIC PROCESS AUTOMATION LLC require in a posting or otherwise U.S. citizenship or lawful permanent residency in the U.S. as a condition of employment except as necessary to comply with law, regulation, executive order, or federal, state, or local government contract.
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Develop scalable data processing pipelines for analytical and predictive platform services.Collaborate with other AI scientists and machine learning engineers to find effective solutions to technical challenges.Access, manage, transfer, integrate and analyze complex datasets, especially using SQL or map-reduce techniques.Develop significant code bases and integrate new libraries and frameworks into work.Work with cloud infrastructure (AWS/Azure), particularly cloud storage (S3, Redshift) and computing (EC2, EMR).Utilize big data frameworks such as Cassandra, Spark, and Hadoop.Familiarize with ML lifecycle tools such as MLflow, FBLearner Flow, TFX, and Michelangelo.Engage in analytics development for industrial applications in a commercial setting.Manage and deploy containers using Kubernetes/Docker.Work with analytics frameworks and languages such as TensorFlow, Sci-kit learn, Spark, Scala, R, Python, MATLAB, etc.Qualifications:
S. or Ph.D. in Computer Science or related technical field.Strong computer science fundamentals, debugging skills, and knowledge of algorithms.Excellent foundation and demonstrable experience in recommendations and information retrieval algorithms.Experience and interest in machine learning and AI, and in working with real-world data sets.Very strong in Data Science Models.Production-quality developer in Python, C/C++, Java, or other general-purpose language.Demonstrated awareness of how to succeed in ambiguous circumstances.Determination - even when experiments fail, the ability to try again is key.ROBOTIC PROCESS AUTOMATION LLC is an equal opportunity employer inclusive of female, minority, disability and veterans, (M/F/D/V). Hiring, promotion, transfer, compensation, benefits, discipline, termination and all other employment decisions are made without regard to race, color, religion, sex, sexual orientation, gender identity, age, disability, national origin, citizenship/immigration status, veteran status or any other protected status. ROBOTIC PROCESS AUTOMATION LLC will not make any posting or employment decision that does not comply with applicable laws relating to labor and employment, equal opportunity, employment eligibility requirements or related matters. Nor will ROBOTIC PROCESS AUTOMATION LLC require in a posting or otherwise U.S. citizenship or lawful permanent residency in the U.S. as a condition of employment except as necessary to comply with law, regulation, executive order, or federal, state, or local government contract.
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