Top Machine Learning Jobs in Tijuana
The Machine Learning Ops Developer IV is responsible for developing and maintaining high-performance machine learning batch processing systems. This includes troubleshooting, scheduling on AWS EC2, and enhancing existing systems while documenting flows and algorithms. The role requires collaboration with various teams and mentoring junior developers.
The Machine Learning Ops Developer IV is responsible for developing and maintaining high-performance batch processing code using Python and open-source libraries. Key duties include troubleshooting, enhancing algorithms, processing orchestration on AWS, and mentoring junior developers. Strong collaboration with cross-functional teams and effective communication with end-users are essential.
As a Senior Machine Learning Engineer at Wasabi, you will develop and refine computer vision algorithms and NLP models while leading AI advancements in a team-oriented environment. Responsibilities include collaborating across teams, optimizing machine learning models, and ensuring reliable implementation and maintenance of AI systems.
As a Senior Data Scientist, you will improve the performance of Roblox's game engine, establishing success metrics and operationalizing metrics monitoring. You will analyze data, use A/B experiments, and collaborate across teams to enhance user engagement and product launches.
As a Principal/Senior Machine Learning Engineer, you will design and implement advanced ML solutions that enhance Roblox's Search and Discovery capabilities. This role involves building recommendation models, large-scale NLU systems, and collaborating across teams to integrate these technologies, all aimed at improving user experience and engagement.
The Senior Director of Creator & Engine Data Science at Roblox will lead data strategies and AI innovations across the Creator, Studio, and Engine ecosystems. Responsibilities include mentoring data science teams, enhancing Studio tools, optimizing engine performance, and integrating advanced technologies to empower creators. This role emphasizes collaboration with product and engineering teams to drive innovation and improve creator experiences.
As a Technical Director on Discovery, you will lead the technical vision and execution of machine learning initiatives for search and recommendation systems on Roblox. You will ensure the implementation of scalable solutions, guide engineers, and collaborate across teams to enhance user engagement.
As a Senior Data Scientist, you will work with cross-functional teams to establish success metrics for multimedia products, operationalize metrics monitoring, analyze performance trends, and improve user engagement and monetization through data insights. You will leverage A/B experiments and causal inference methodologies to assess product features and their impact on user experiences within the game engine.
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The Data Scientist will support vertical data science teams in experiment design and analytics, collaborate on innovative solutions to measure ecosystem health and business performance, and drive data-informed decision-making for Roblox's learning platform and ecosystem.
As a Senior Principal Machine Learning Engineer at Atlassian, you will design and implement innovative machine learning models to enhance products like Jira and Confluence, analyze vast datasets for insights, and collaborate with cross-functional teams to foster AI integration. You'll also mentor colleagues and lead AI knowledge-sharing sessions.
The Research Scientist in NLP will develop innovative solutions using machine learning techniques, focusing on long-context question-answering, complex reasoning, and improving alignment techniques. The role involves publishing in top-tier conferences, creating evaluation benchmarks, and enhancing large language models while collaborating with academic institutions.
The Manager of Data Integration and Modernization leads the design and implementation of data platforms, focusing on scalable solutions, data engineering best practices, and collaboration with various teams to drive data strategy and modernization efforts.
The Staff Machine Learning Engineer will design, build and productionize machine learning models to tackle business challenges, collaborate with product managers and engineers, maintain high code quality, and research emerging technologies. They will also share knowledge through presentations and discussions.
As a Senior Machine Learning Engineer at Capital One, you'll develop and implement machine learning applications, collaborating with teams to produce models and optimize performance. Responsibilities include model design, coding, infrastructure decisions, and maintaining production models. You'll also build cloud-based architectures and ensure best practices in model governance.
The Senior Director of Data Engineering will lead the Enterprise Data organization at Capital One, focusing on developing scalable data products and platforms, driving data strategy, delivering high-quality data experiences, and leading a team of 70+ engineers while ensuring innovative solutions through collaboration and effective communication.
As a Distinguished Machine Learning Engineer, you will lead the design and implementation of machine learning applications and systems, mentor other engineers, and drive ML initiatives in the financial services sector. You will collaborate with interdisciplinary teams to solve complex business challenges, optimize data pipelines, and ensure the performance of ML models at scale.
As a Distinguished Machine Learning Engineer at Capital One, you will provide technical leadership, design machine learning applications, mentor engineers, and drive large-scale ML initiatives. You will collaborate with cross-functional teams, optimize data pipelines, and leverage cloud-based technologies to deliver high-performing ML solutions in the financial services industry.
As a Distinguished Machine Learning Engineer at Capital One, you will lead the development and implementation of machine learning applications, collaborating with various teams to solve business problems in the financial services sector. You'll guide architectural design, optimize data pipelines, and mentor engineers while applying the latest innovations in machine learning.
As a Distinguished Machine Learning Engineer at Capital One, you'll lead the productionization of machine learning applications, guiding architectural decisions, developing models, and optimizing data pipelines. You will collaborate across teams to deliver ML solutions while mentoring engineers and applying innovative technologies in financial services.
The Distinguished Machine Learning Engineer will lead AI/ML initiatives focused on developing production-scale machine learning applications. Responsibilities include collaborating with cross-functional teams, mentoring engineers, and implementing innovative solutions driven by a deep understanding of AI and machine learning technologies, ensuring optimal performance and high availability of applications.
As a Senior Data Scientist at Capital One, you will conduct research in self-supervised learning and machine learning models, develop customer behavioral models, and operationalize ML models while collaborating with various teams to improve customer experiences and business outcomes.
As a Senior Data Scientist in the Emerging ML team, you will conduct research, build machine learning models, analyze customer behavior, and collaborate with engineering and product teams to improve customer experiences and business outcomes. You'll work across all phases of the data science lifecycle and utilize various data to create impactful solutions.
The Senior Data Scientist will conduct research on emerging technologies in AI, develop machine learning models, refine integration patterns for these models, and collaborate with business and product teams to enhance customer experiences and business outcomes.
As a Senior Data Scientist in Emerging ML at Capital One, you'll conduct research and develop machine learning models across the data science lifecycle. You will build and operationalize models utilizing large datasets, collaborate with various teams to improve customer experiences, and communicate findings effectively to stakeholders.
The Manager of Ontology and Data Modeling will develop and maintain enterprise ontologies that support Capital One's Data Strategy, working collaboratively across teams to design ontology-based data products. They will guide the development of semantic technology integration, manage teams, and mentor junior associates while advocating for the importance of ontology in business outcomes.
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