Top Machine Learning Jobs in Tulsa, OK
Work as a Senior Machine Learning Engineer at Movable Ink, focusing on advancing the core machine learning solution and infrastructure. Responsible for building scalable models, deploying them to production, and collaborating with cross-functional teams to improve ML platform.
Work as a machine learning engineer in the Applied AI and Machine Learning team. Contribute to core recommender systems and machine learning models. Opportunity to work on a large-scale machine-learning system and continuously learn and improve the solution.
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Seeking a Senior Machine Learning Engineer to develop NLP algorithms, train models, preprocess data, resolve entities, collaborate with teams, innovate, review code, and mentor. Requires 5 years of ML experience, proficiency in Python and ML libraries, and a Bachelor's degree in computer science.
Develop and implement machine learning models for fraud detection, analyze datasets, collaborate with cross-functional teams, monitor model performance, and stay updated on the latest machine learning and fraud detection techniques.
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As a Senior Machine Learning Engineer, you will develop robust, scalable ML systems using Python and TensorFlow. You will work collaboratively with Data Scientists to turn prototype algorithms into customer-facing solutions and provide technical leadership to junior team members. Your role also involves building data pipelines, collaborating with Product Managers, and making intelligent technical decisions to enhance personalization capabilities.
Seeking a highly motivated Senior Staff Machine Learning Engineer to join Taskrabbit's team and contribute to shaping the future of ML/AI. Responsibilities include designing, developing, and deploying advanced ML models, collaborating cross-functionally on ML projects, and working on modern search platforms using NLP and graph analysis.
Design, develop, and program methods, processes, and systems to analyze big data sources and generate actionable insights. Collaborate with product and service teams to identify questions and issues for data analysis and experiments. Develop software programs, algorithms, and automated processes to cleanse and evaluate large datasets. Communicate insights and findings to stakeholders.
Design, build, and enhance batch and real-time inference services and tooling that support machine learning use cases. Collaborate with ML modelers to encourage adoption of new tools and technologies and plan for future needs of the ML teams.
Lead and contribute to developing and implementing machine learning models and algorithms for a tech company in the TV advertising industry, focusing on scalability, performance, and innovation. Responsibilities include designing and optimizing models, preprocessing data, deploying models, mentoring junior engineers, and collaborating with cross-functional teams. Requires 10+ years of experience in backend systems with a specialization in machine learning, a degree in Computer Science or related field, familiarity with core ML technologies, and expertise in machine learning algorithms.
Develop ML solutions to increase safety, efficiency, and sustainability of physical operations at Samsara. Collaborate with engineering teams and partners to deliver core infrastructure and optimizations.
Atlassians have flexibility in where they work - whether in an office, from home, or a combination of the two. That way, Atlassians have more control over supporting their family, personal goals, and other priorities. We can hire people in any country where we have a legal entity. Interviews and onboarding are conducted virtually, a part of being a distributed-first company. Atlassian is ...
Top Companies in Tulsa, OK Hiring Data + Analytics Roles
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