Top Machine Learning Jobs in Tijuana
As a Senior Machine Learning Engineer at Kalepa, you will lead the development and deployment of machine learning models to analyze business risk. This role involves transforming large data sets into insights, guiding project direction, and collaborating with Product Management and Software Engineers in a sprint-based environment.
Kalepa seeks a Senior Machine Learning Engineer to lead the development and deployment of machine learning models, extracting insights from diverse data sources. Responsibilities include framing project direction and maintaining focus in collaboration with Product Management and Software Engineers in a two-week sprint cycle.
The Machine Learning Engineering Manager will lead a team to develop algorithms for user and content understanding, drive infrastructure for machine learning, and collaborate with ranking teams to enhance ad and content relevance. Responsibilities include overseeing architecture, performing code reviews, and fostering team collaboration.
As a Manager of Machine Learning Engineering, you will lead a team to develop models and signals for user and content understanding. You will define system architecture, ensure quality and scalability, and collaborate on improving ranking models for ads and content. Your role involves mentoring team members and enhancing machine learning infrastructure.
The Senior Technical Sourcer will support the recruitment of machine learning professionals by sourcing and screening candidates, executing strategies for a robust talent pipeline, and collaborating with teams to fill priority roles. They will utilize hiring metrics and maintain a positive experience for candidates throughout the recruitment process.
Lead a team in developing and optimizing a personalized video recommendation engine. Define the architecture, drive iterations, conduct performance analysis, and mentor engineers. Facilitate collaboration across departments to improve system reliability and efficiency.
Lead a team of engineers in developing a personalized video recommendation engine. Define the architecture for scalability and performance, conduct A/B testing, and improve the recommendation system through technical reviews and team mentorship.
Lead the technical direction of the Ad Ranking team at Snap, focusing on advancing ML capabilities for ad optimization. Design and scale machine learning models, collaborate with cross-functional teams, and stay current with ML technologies to solve complex advertising-related problems.
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As a Principal Machine Learning Engineer on the Ad Ranking team, you will drive the technical roadmap, design and implement machine learning models, collaborate with cross-functional teams, and advocate for best practices in availability, scalability, and operational excellence for ad optimization strategies.
As a Machine Learning Engineer at Snap Inc, you will develop models using LLMs for various applications, promote new features, evaluate technical decisions, conduct code reviews, and ensure high code quality while building scalable products.
As a Principal Machine Learning Engineer, you will drive the technical roadmap of Snap's Ad Marketplace and Pacing teams, design and scale machine learning models for optimal ad delivery, and collaborate with cross-functional teams. You will stay updated on the latest in machine learning to solve complex problems, advocate for best practices, and provide technical direction to influence the ML community.
The Lead Machine Learning Engineer will focus on developing and optimizing algorithms for Hulu's recommendation and personalization systems. Responsibilities include collaborating with product and data teams, maintaining existing models, and establishing best practices in algorithm development and deployment.
As a Senior Technical Director on Discovery at Roblox, you'll drive the technical vision and implementation of machine learning solutions for search and recommendation systems. You'll lead engineers, collaborate with teams, and balance technology research with practical applications, aiming to enhance user engagement and retention.
As a Machine Learning Engineer at Peloton, you will enhance NLP/NLU capabilities by building and deploying machine learning models, conducting experiments, and optimizing search algorithms. You will work with other team members to address challenges in natural language processing and improve fitness content through AI techniques.
As a Lead Machine Learning Engineer, you will design, develop, and implement ML applications, manage model performance, and collaborate with Agile teams to solve business problems. The role involves maintaining production models, leveraging cloud technologies, and ensuring best practices in responsible AI.
As a Lead Machine Learning Engineer at Capital One, you'll design and implement machine learning applications, collaborate with cross-functional teams, and solve complex problems through coding and model validation. You'll ensure high performance and reliability of deployed models while leveraging cloud technologies and CI/CD practices.
As a Lead Machine Learning Engineer at Capital One, you will design and implement machine learning applications, focusing on high availability and performance. You will collaborate with various teams, develop optimized ML models, automate tests, and ensure responsible AI practices. This includes maintaining and monitoring deployed models and utilizing cloud technologies for scalability.
The Principal Engineer will lead efforts in machine learning and AI, collaborating with teams to build impactful products, setting technical standards, and mentoring others. Responsibilities include hands-on development, technical leadership, and influencing hiring and coding practices.
As a Machine Learning Scientist focused on Speech AI and NLP, you will research and produce advanced machine learning models and applications, collaborate across the firm to develop impactful software solutions, and design scalable data processing pipelines for optimizing business results. You will prioritize innovative learning and knowledge sharing.
The Executive Director will architect advanced AI solutions, including generative AI and large language models, while collaborating with cross-functional teams. Responsibilities include designing optimized AI models, developing ethical AI practices, and mentoring a team. The role requires extensive experience in AI/ML within the financial services sector and a strong understanding of data leverage and regulatory standards.
As a Senior Product Delivery Associate, you will drive the delivery of products, support change initiatives, and collaborate with cross-functional teams to improve efficiencies. Your role includes managing complex metrics and influencing new processes within the organization's product lifecycle.
Lead the Model Engineering team to develop state-of-the-art ML runtime environments, ensuring high availability and low latency for ML model deployment. Collaborate with product stakeholders to create innovative scalable platform solutions while mentoring team members and fostering a culture of inclusion and collaboration.
Lead the development and optimization of algorithms for personalization and recommendation systems at Disney, driving and enabling ML usage across multiple domains. Collaborate with stakeholders to identify new opportunities while maintaining robust production deployment and high system reliability.
As an Engineering Manager for the Search Relevance team, you will lead a team of Machine Learning engineers and Data Scientists, improving the healthcare marketplace by enhancing search relevance, collaborating with product teams, and cultivating an inclusive engineering culture.
The Associate Machine Learning Manager will develop and manage machine learning and AI strategies, lead a multi-disciplinary team to implement machine learning models, and collaborate with peers to deliver value to customers through scalable and robust solutions.
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