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Top Machine Learning Jobs in Miami, FL
As a Principal Technical Program Manager in Gusto's Data organization, you will lead cross-functional programs that shape data strategy and optimize data governance. You will collaborate with business and technical stakeholders to manage complex data initiatives, ensuring alignment across teams and influencing data-informed decisions for the organization.
The Machine Learning Engineer II, Economist will design and build machine learning solutions, work in cross-functional teams, and develop impactful solutions to support Instacart's growth. They will collaborate with engineers and product managers to understand problems, recommend solutions, and test them effectively.
The Senior Product Manager will lead the Internal Tools platform team, develop a vision and strategy to support business needs, optimize workflows using AI, and facilitate tool rollouts across Headway. They will collaborate with Engineering, Operations, Data, and Design to build efficient and scalable tools for internal teams.
Lead the design, development, and deployment of software solutions utilizing AI and LLM technologies for drug development. Collaborate with product managers and experts to create and iterate on innovative features, ensuring system scalability, security, and performance. Engage with emerging AI and software trends and act as an internal advocate for these technologies.
As a Data Scientist Lead Consultant at Arity, you will develop and optimize machine learning algorithms to enhance the marketing platform using large datasets. Responsibilities include making key technical decisions, collaborating with cross-functional teams, and influencing business optimization strategies that drive revenue growth.
The Director of Product Management is responsible for the strategy and roadmap of data products, including AI innovations. This role involves aligning cross-functional teams, managing product delivery, and influencing executives to secure resources. They will establish KPIs, execute improvements based on feedback, and ensure the product vision is realized across the organization.
The Business Operations Director for Global Sales will support the Chief of Sales by managing communication, preparing presentations, partnering with sales leadership on planning processes, overseeing headcount management, improving operational excellence, and becoming a subject matter expert on critical sales tools like Salesforce.
The Threat Analyst role at CrowdStrike focuses on analyzing malware and threat detections to improve security measures. Responsibilities include investigating customer detection tickets, enhancing detection capabilities through analysis, and collaborating with internal teams to address inquiries related to threat detection.
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The Vice President of Product Management for Data and AI/ML at Workiva will lead product strategy for the data-driven platform and AI solutions. Responsibilities include overseeing product management, driving global product initiatives, fostering stakeholder relationships, and building a high-performing team. This role aims to inspire teams to develop products that exceed customer expectations and align with the company's strategic goals.
As a Digital Contact & Services Manager, you'll lead a team to deliver actionable insights through data analytics. You'll develop AI-driven solutions to enhance customer engagement, manage client needs, coach team members, and contribute to strategic goals while addressing complex business challenges.
As a Senior Product Manager for Auto Retail at Upstart, you'll lead the strategy and vision for enhancing the automotive finance platform. You'll work with internal teams and external partners to manage integrations, prioritize product roadmaps, and leverage machine learning capabilities to improve customer experiences in auto retail.
The Network Detection and Response Engineer will deploy NDR solutions, monitor network activity for threats, facilitate security incident investigations, develop detection rules, and propose improvements to enhance security capabilities within hybrid environments.
As a Machine Learning Researcher at Citadel Securities, you will apply advanced machine learning and AI techniques to analyze datasets, back-test models, and document your findings. Your work will contribute to developing innovative trading strategies in a fast-paced environment.
As a Machine Learning Researcher Intern at Citadel Securities, you'll use advanced statistics and AI algorithms to analyze datasets, implement high-quality code, back-test models, and document research findings, all while collaborating and learning from senior team members throughout an 11-week program.
Design and build the next generation library for deep learning within the firm. Empower researchers to iterate faster and perform experiments that were not possible before. Work with HPC experts to optimize workflows and deliver improvements in training speed and cost savings.
The role requires leading the Credit and Data Science functions for Empower's international operations, developing risk models and credit policies, and launching innovative products to improve customer financial outcomes. The candidate will lead teams to analyze consumer behaviors and tailor solutions for different markets, contributing to business growth in Latin America and South East Asia.
As a Staff Backend Engineer, you will shape the technical direction by leading complex product initiatives, optimizing engineering processes, and mentoring engineers. Responsibilities include designing and deploying server application code, ensuring secure coding standards, and improving system performance while participating in on-call schedules.
The Sr. Product Manager - Card will develop a vision for card products, identify new feature opportunities, and lead cross-team collaboration to enhance user satisfaction and business growth. Responsibilities include defining success metrics, conducting market assessments, and prioritizing features based on customer feedback.
Lead Credit and Data Science functions for international markets. Develop risk models, credit policies, and innovative products to enhance customer experience and business growth. Collaborate with teams to adapt strategies based on market-specific data and consumer behavior.
As a Software Engineering Manager at Empower, you'll oversee systems and processes for apps, manage a team of engineers, engage in hiring technical talent, and ensure the delivery of secure, user-friendly solutions. You'll participate in strategic initiatives, mentor your team, and handle high-severity operational incidents while maintaining technical infrastructure and performance management.
As a Staff Data Scientist at Empower, you will develop risk models and credit policies to drive competitive underwriting practices. You will lead teams to analyze consumer behaviors and adapt solutions for the Latin American market, enhancing customer financial well-being. This role is pivotal for launching innovative financial products and requires tackling complex geographic challenges.
The Staff Data Scientist is responsible for developing and implementing machine learning models and analytics to drive business growth and improve customer financial situations. This role requires close collaboration with product, tech, and finance teams, and involves the entire model development process from conception to deployment, focusing on credit risk models to enhance approval rates and reduce loss rates.
The Sr. Manager will lead R&D teams to develop driver behavior detection algorithms from smartphone sensor data for Arity. Responsibilities include setting a vision for machine learning applications, aligning with product and engineering teams, and managing diverse data science teams while ensuring successful model deployment and strategic development.
As a Senior Data Scientist at Spring Health, you will work with the Customer Experience team to build data products, analyze member mental health journeys, and provide actionable insights to enhance customer satisfaction and product value. Your role involves collaborating with internal teams and implementing AI/ML capabilities to improve mental health care solutions.
Design and deploy machine learning solutions for grocery delivery, collaborating with diverse teams to enhance operational efficiency and align with business goals. Engage in problem-solving and engage with stakeholders on various levels.
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