Top Machine Learning Jobs
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Develop and implement innovative pricing algorithms using machine learning and optimization techniques to solve complex pricing challenges. Engage in the entire ML development pipeline, from data acquisition to model deployment, while collaborating with cross-functional teams and effectively communicating results to diverse audiences.
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As a Machine Learning Engineer at Ibotta, you will design, develop, and deploy scalable machine learning models and infrastructure. You will collaborate with cross-functional teams, communicate complex solutions to stakeholders, and contribute to innovative projects involving recommendation systems and generative AI.
Senior Research Developer responsible for designing and implementing large-scale recommendation systems to personalize content recommendations for millions of anime fans worldwide. Key responsibilities include system architecture design, data preprocessing, model training, and operational excellence. Requires 5+ years of experience in recommendation systems, proficiency in Python, and familiarity with TensorFlow and PyTorch.
Senior Machine Learning Engineer responsible for designing and implementing recommendation systems to enhance user engagement and satisfaction through personalized content recommendations. Will work on system architecture, data preprocessing, model training, measurement feedback, and operational excellence. Requires 5+ years of experience in large-scale recommendation systems, proficiency in Python, familiarity with TensorFlow, PyTorch, GPU optimization, and cloud platforms.
The Senior Data Scientist will collaborate with a cross-functional team to design, develop, and deploy analytic models and high-impact data solutions in motorsports, leveraging machine learning and AI to support race teams. Responsibilities include analyzing and preprocessing diverse data, building predictive models, and presenting findings through visualization techniques.
Design and develop scalable and high-quality AI/ML features and solutions based on business needs. Collaborate with cross-functional teams to implement advanced AI technologies. Build infrastructure for AI/ML models and data collection mechanisms to meet customer demands. Ensure accuracy and freshness of enterprise operational data for thousands of customers.
As a Manager in the Machine Learning team, you will lead planning and coordination within sprints, build and maintain a machine learning platform, manage data pipelines, troubleshoot technical issues, and mentor team members.
The Senior Software Engineer will build a next-gen machine learning platform for advertising decisioning, develop scalable data analysis methods, collaborate with researchers, and advocate for best engineering practices.
Featured Jobs
As a Lead Machine Learning Engineer, you will design and implement ML solutions, optimize services, manage project milestones, communicate progress to stakeholders, and uphold best practices within the team while collaborating with engineers and product managers.
The Senior Software Engineer in Machine Learning is responsible for architecting and scaling personalization and search platforms for the Max streaming app. The role involves collaborating with data scientists, contributing to machine learning systems, optimizing code, and advocating for customer-focused innovation.
The Senior Director of Technical Program Management will oversee strategic initiatives in the Enterprise Data and Machine Learning division, optimizing data management and driving innovation through complex technical projects. The role involves aligning cross-functional teams, ensuring successful delivery of data-driven solutions, and fostering a strong TPM discipline within the organization.
As a Senior Machine Learning Engineer at CrowdStrike, you will innovate machine learning technology for data science, create scalable microservices, build data pipelines, and collaborate across teams to enhance the cybersecurity platform. You'll engage in ongoing learning, maintain coding standards, and contribute to a collaborative environment while mentoring fellow engineers.
As a Senior Machine Learning Engineer, you will develop and implement advanced machine learning algorithms focusing on forecasting. You'll collaborate with various teams to build scalable algorithms, empower model iteration, and provide guidance to junior engineers while ensuring the effective communication of model concepts to business partners.
As a Machine Learning Engineer at Atlassian, you will develop and implement advanced machine learning algorithms, collaborating across business and engineering teams to build scalable recommendation systems. Your work will involve designing system architectures, conducting model experiments, and applying AI/ML to enhance business intelligence and growth.
As a Machine Learning Engineer, you will develop and implement machine learning and forecasting algorithms while collaborating with various teams. Your responsibilities include building scalable forecasting algorithms and managing the end-to-end ML development cycle to drive business impact.
As a Senior Associate in Applied AI/ML, you will leverage your data science and analytical expertise to develop innovative AI/ML solutions. Your role involves collaboration with stakeholders to understand requirements, data wrangling, modeling, and collaborating with teams to implement strategies that drive business outcomes.
The Applied AI Modeling Lead will drive the development of advanced analytical products, utilizing deep NLP knowledge to solve complex business problems. Responsibilities include delivering products, mentoring team members, and acting as a subject matter expert in machine learning and algorithms.
The AI/ML Scientist Manager will lead the deployment of AI solutions, ensuring best practices in model operationalization. Responsibilities include framework development, collaborative implementation with Data Scientists, team leadership of ML engineers, managing ML operations with ML Flow, and overseeing CI/CD pipelines.
The role involves leading and mentoring a team of ML engineers, developing frameworks for AI model deployment, assuring code quality through CI/CD processes, and collaborating with various stakeholders to transition AI PoCs into production applications. A strong emphasis is placed on operationalizing AI models and maintaining best practices in machine learning operations.
The Applied AI/ML Lead will analyze business problems and develop machine learning solutions, collaborating with various teams to implement AI/ML initiatives. Responsibilities include leading projects, creating models for NLP and recommendations, and deploying solutions into production while ensuring effective communication with stakeholders.
Design and develop machine learning systems, preprocess and engineer features, research and implement machine learning algorithms, support tools for machine learning experiments, transform data science prototypes into machine learning models, develop applications based on business requirements.
The Machine Learning Engineer will lead the development and deployment of machine learning models to assess risks for various businesses. The role involves transforming structured and unstructured data into actionable insights and collaborating closely with product management and software engineers.
The Senior Machine Learning Engineer at Kalepa will lead the development and deployment of machine learning models that assess business risk using a variety of data sources. Responsibilities include turning structured and unstructured data into actionable insights while collaborating with product management and software engineering teams in a sprint-based environment.
The Senior Machine Learning Engineer at Cash App will design and enhance ML inference services, support ML model development, and collaborate with cross-functional teams to drive strategic initiatives in financial crime detection.
Mid level machine learning engineer role at Instacart. Responsibilities include designing, developing, testing, and deploying machine learning models to solve customer problems and drive business forward. Requires strong programming skills and analytical abilities.
Top Companies Hiring Machine Learning Roles
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