Top Machine Learning Jobs in Houston, TX

The AI/ML Product Analyst will collaborate with the Product Owner from ideation to launch, analyze business needs, and gather data to support business cases. Responsibilities include developing specifications, engaging in testing, and ensuring project deliverables meet requirements, particularly focusing on AI/ML products in a public health context.

The Product Management Leadership role involves guiding the product strategy and execution for Prism, overseeing the product lifecycle, making data-driven decisions, and ensuring alignment with market trends and client needs. Responsibilities include managing the product roadmap, conducting market research, analyzing performance metrics, and communicating progress to senior management.

As a Senior Distributed Systems Engineer (Machine Learning), you will develop and maintain high-quality, scalable AI solutions and services for a Machine Learning Platform. You will collaborate with product and engineering stakeholders to understand requirements, minimize deployment risks, and integrate AI innovations into product development, ensuring the delivery of tangible business value.

The Product Manager at ClickTime will support the product roadmap, gather insights from customers and market research, deliver product specifications and user stories, coordinate teams during development sprints, and analyze product metrics. The role requires experience in product management with a focus on customer needs and industry trends.

The Principal Predictive Analytics Consultant leads the analytics team in designing and delivering solutions like Automated Underwriting and Risk Scoring. Responsibilities include managing complex datasets, developing predictive models, ensuring solutions meet business objectives, and presenting findings to stakeholders.

The Solutions Architect will design and implement cloud architecture solutions focusing on Ubitus, Tencent Cloud, and AWS. Responsibilities include cloud services integration, providing technical leadership, collaborating with customers on AI requirements, and maintaining technical documentation. The role also involves customer engagement through workshops and training, alongside travel for support and industry events.

As a Software Engineer on the AI Decisioning team, you will design and build scalable backend systems and ML infrastructure, develop AI-driven features for decision automation, and collaborate with machine learning engineers to implement innovative techniques.

The Principal AI Research Scientist will lead innovative research in AI and machine learning, develop algorithms, manage R&D projects, and collaborate with academic and industry leaders. This role involves contributing to product vision and roadmap, conducting competitive analysis, and working closely with customers to align product offerings with their needs.

As a Global Alpha Researcher, you will develop market-neutral trading signals, implement academic research, create algorithms for combining Alphas, and apply machine learning techniques for alpha discovery and portfolio construction, while working remotely and flexibly.

The Staff Software Engineer will enhance Fetch's product catalog by designing and optimizing key components, developing data ingestion solutions, integrating machine learning techniques, and mentoring team members, all while collaborating across teams to drive critical initiatives.

As an AI Controls Solutions Engineer, you will operationalize and scale Phaidra's AI solutions, working closely with customers to define AI problems, create facility models, and rapidly deploy solutions. You will collaborate with technical account managers and data scientists, leveraging Phaidra's platform to deliver actionable insights from sensor data.

The Platform Manager for the Digital Intelligence Platform at Airbnb will lead machine learning modeling and evaluation for the Customer Service organization, strategizing and deploying AI initiatives to transform the CS experience. Responsibilities include defining vision, goals, and metrics, and collaborating with cross-functional teams to deliver impactful products.

The Senior Computer Vision Scientist will develop predictive models using 3D data, utilizing machine learning and statistical modeling techniques. They will clean and prepare data for analysis, leverage cloud resources for data processing, and extract data from databases, while continuously iterating on solutions in a collaborative environment.

The Senior Account Executive will develop customer relationships, configure solutions to meet requirements, and drive revenue growth while maintaining a strong sales pipeline. Responsibilities include sales presentations, site visits, and collaboration across teams to win complex deals while ensuring customer satisfaction.

As a Staff Software Engineer on the Payments Risk team, you will design and build systems to combat payment fraud, maintain platform integrity, and enhance user experience. Responsibilities include leading technical design, collaborating with cross-functional teams, mentoring engineers, and driving the technical roadmap.

The AI Data Leader will develop and implement an AI and data strategy, oversee innovation in AI technologies, collaborate with teams to implement solutions, build a high-performing team, drive data management and governance, supervise AI development, and ensure compliance with regulations.

The Research Associate will analyze large datasets of loan data to improve investment management and revenue growth. Responsibilities include creating term sheets, analyzing lending partners, researching portfolio performance, and developing templates for data processing.