Top Machine Learning Jobs in Houston, TX

The Director of Cloud Infrastructure will lead the Infrastructure team at Freenome, focusing on early cancer detection initiatives. Responsibilities include strategic leadership, developing methodologies to improve execution, ensuring regulatory compliance, and effective communication with stakeholders. The role demands the ability to navigate ambiguity and foster a collaborative team environment.

The Technical Sales Account Executive will lead the sales process for Butter, focusing on large e-commerce subscription companies. Responsibilities include managing the sales cycle, developing relationships with executives, collaborating with internal teams, and achieving revenue targets. A technical background in payments is beneficial but not mandatory.

As an Account Executive, you will drive sales and manage relationships with Fortune 100 companies and public services, leveraging strategic sales skills and a passion for technology to close significant multi-million-dollar deals.

The Staff ML Infrastructure Engineer will be responsible for defining the technical vision and architecture for Thumbtack's machine learning infrastructure, leading cross-functional teams, and establishing best practices. The role includes mentoring, strategic decision-making, and aligning ML capabilities with business goals, all to support the company's AI-first approach.

As Anonym's first product hire, you will shape the product vision and drive strategy, managing the product roadmap and collaborating with engineering teams and leadership. You will ensure the execution of key initiatives while aligning product strategy with market needs and customer demands in the advertising technology sector.

As a Customer Success Manager at HumanSignal, you will be responsible for building and maintaining relationships with enterprise clients, ensuring they achieve their business goals. You will guide customers through onboarding and integration of software into their processes, while driving value and expansion of services within the accounts you manage.

As a Tech Lead Manager, Machine Learning, you'll guide a team of engineers in developing AI-driven products, oversee technical direction, foster collaboration, and enhance existing ML systems, ensuring high-quality execution aligned with company goals.

Lead the Observability teams, focusing on improving and innovating solutions for monitoring and analytics. Manage direct reports, collaborate with cross-functional leaders, and ensure the scalability and efficiency of the observability function. Engage in team building and create a positive work culture, while supporting the technical infrastructure needs of the organization.

As a Technical Product Manager, you will lead the roadmap for AI products in healthcare, using data analysis and project management to align product features with customer needs. You’ll drive cross-functional collaboration, guiding teams to implement and enhance AI Agents for improved operational efficiency and patient outcomes.

As a Staff Machine Learning Engineer, you will lead the design and development of Generative AI solutions for Firefox, focusing on building infrastructure and ensuring model performance and reliability. This role involves collaborating with cross-functional teams and mentoring junior engineers.

The Data Scientist will support data science needs by performing data mining, statistical analysis, and building predictive models for the Cybercrime and Analytics Group. Responsibilities include optimizing classifiers, data processing, anomaly detection, and assisting with IT support as needed.

As a Data Engineer at StackAdapt, you will design and implement modular and scalable real-time data pipelines, work on custom ML algorithms, and manage microservices for training and monitoring ML models in a collaborative environment.

The Head of Data will shape the data strategy at Gemini, build a high-performance data team, manage data infrastructure, optimize data warehousing, and drive data-driven initiatives across the organization. Responsibilities include overseeing data management, analytics, and collaborating with executive leadership on data integration into business strategies.

The Vice President of Data Science Research will lead the research organization focusing on innovative quantitative methods for liquid biopsy cancer screening, drive the research roadmap, and transition new concepts into product development while maintaining reproducible research standards.

As a Research Engineer at Snorkel, you will innovate and implement cutting-edge research into user experiences and establish state-of-the-art approaches for data-centric model iteration and analysis. You will prototype workflows, validate your work with design partners, and contribute to novel research alongside other scientists in the field.

The Enterprise Business Development Executive will drive new business and revenue growth for Fuel iX by maintaining a robust pipeline, developing deep customer understanding, communicating solutions, and achieving sales goals in the B2B SaaS and AI space.

The ML Engineer for Computer Vision will work with advanced techniques in artificial intelligence and computer vision to develop algorithms that enhance Entefy’s products. Responsibilities include using machine learning tools and computer vision techniques for image processing and analysis on various confidential projects.