Top Remote Data Engineer Jobs in Ogden, UT
Join Workiva as a Staff Machine Learning Engineer to architect and deliver cutting-edge ML solutions, collaborate with product teams, lead in the ML space, ensure reliability, and support machine learning infrastructure. Required qualifications include a Bachelor's degree in Computer Science or Engineering, 4 years of ML engineering experience, and proficiency in ML development cycles and toolsets.
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Join Grammarly's Responsible AI team as a Machine Learning Engineer specializing in NLP. Develop and implement new ML solutions to enhance the safety and fairness of Grammarly products. Work in cross-functional teams to leverage ML advances and build scalable solutions.
As a Machine Learning Engineer at Liftoff, you will own ML models with direct business impact, adopt new technologies, mentor team members, monitor ML research, and influence team roadmaps. Requires 8+ years of ML experience, strong engineering skills, and a degree in Machine Learning, Math, Physics or similar. Experience with AdTech is a plus.
Machine Learning Engineer on the Embeddings team at Liftoff.
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The Staff Machine Learning Engineer role at Cruise involves driving applied ML research and development for urban roads related to Perception and Object Tracking. Responsibilities include exploring new algorithms, optimizing on-road performance, guiding technology choices, and enabling team members. Required qualifications include a PhD/MS degree in computer vision or machine learning, experience in deep learning projects, programming skills in Python and/or C++, expertise in ML frameworks, strong communication skills, and the ability to design scalable architectures.
Looking for an ML Engineer specializing in constructing and managing robust, scalable, and high-performance compute platforms tailored for ML workflows. Collaborating closely with scientists to ensure efficient model training and integration into production environment. Responsible for reliability, cost-effectiveness, scalability, and velocity of ML models.
Looking for an ML Engineer to construct and manage robust, scalable, and high-performance compute platforms for ML workflows. Responsible for ensuring efficient model training and integration into production, supporting autonomous vehicles at Cruise. Must have strong problem-solving skills and a bias towards action.
Ontra is seeking a Senior Data Engineer to create and own a data engineering roadmap, collaborate with product and engineering teams, and build data processing pipelines and infrastructure. The role requires 5+ years of core data engineering experience with technical skills in SQL, Python, Snowflake, dbt, Airflow, Kubernetes, Docker, DataDog, and AWS.
Senior Machine Learning Modeler role at Cash App's Financial Crimes Technology team. Responsible for building ML models to detect illegal activity, improve agent workflow, and facilitate ML-based Customer Risk Rating program. Must have 4+ years of ML modeling experience.
Seeking a CDP Data Engineer with expertise in Adobe Experience Platform Real-Time CDP to extract, transform, and load data for unified customer profiles. Responsibilities include platform expertise, data extraction, transformation, and loading, query writing, and more. Requires 5+ years of experience in data pipeline architecture.
Seeking an experienced AI and Automation Strategist to analyze and automate processes using AI technologies in the cybersecurity domain. Responsibilities include developing automation strategies, integrating AI solutions, implementing solutions with IT teams, and monitoring performance for business growth and efficiency improvement.
Seeking an experienced AI and Automation Strategist to analyze and apply AI to security processes, drive efficiency, and improve productivity. Responsibilities include analyzing processes, developing automation strategies, integrating AI, and overseeing implementation for operational and financial impact. Required skills include cybersecurity leadership, automation and AI solution implementation, knowledge of programming languages, and experience in the pharmaceutical industry.
Design, develop, and maintain software applications using SQL, Python, Snowflake, Kafka, AWS, Terraform, Kubernetes, and Docker. Collaborate with product teams, participate in SDLC, and deploy data-intensive systems. Minimum 5 years of experience required.
Experience in quality assurance and application development, strong test automation skills in Java and Python, testing large-scale production systems, evaluating AI/ML models, creating comprehensive test plans, and collaborating with developers to design testing strategies for features being developed.
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