Top Machine Learning Jobs in Little Rock
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.
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 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.
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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.
The Manager of Machine Learning Engineering at Samsara leads teams in building and managing machine learning solutions for customers, focusing on computer vision, sensor fusion, and AI deployment. This role is fully remote in the US and Canada, with a focus on impactful technology development for industries like transportation and manufacturing.
Seeking a skilled MLOps Engineer to spearhead model deployments for Computer Vision and Machine Learning. Responsibilities include designing and implementing MLOps pipelines, managing the lifecycle of models, optimizing cloud infrastructure, collaborating with the team, and staying updated on industry trends.
Design, build, and manage distributed services and pipelines for Underwriting & Credit at Cash App. Lead cross-team projects, ensure high code quality, collaborate with various teams, and contribute to development capabilities through mentoring.
As a Generative AI Scientist at Mission Cloud, you will leverage generative AI models to build internal products, collaborate with teams, and contribute to groundbreaking AI solutions. Responsibilities include designing and deploying AI models, collaborating with interdisciplinary teams, and staying updated on AI trends. Requirements include experience in AI model implementation, programming skills in Python and AI frameworks, and AWS certifications. This remote position offers a rewarding package and career development opportunities.
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.
As a Staff Machine Learning Engineer at Striveworks, you will be responsible for leading machine learning projects, developing ML models and analytics solutions, automating data pipelines, and managing project execution teams. This is a customer-facing role with a remote work environment and some travel required. The anticipated base pay range is $200,000–$250,000/year.
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