Top Machine Learning Jobs in Leon
The Senior Data Scientist will lead complex analyses using machine learning and data science techniques to derive insights from structured and unstructured data. Responsibilities include mentoring other data personnel, applying advanced analysis methods, and delivering insights to support Takeda's objectives in healthcare, vaccines, and R&D.
The ML Research Scientist will lead research projects enhancing the Genesis AI platform in generative modeling for molecular systems, conduct large-scale experiments, and mentor junior team members while contributing to the research community through publications.
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 Staff Machine Learning Engineer will develop new AI capabilities, enhance code quality, collaborate with cross-functional teams, and manage the development process to deliver efficient data-driven business solutions. This includes hands-on design, documentation, and ensuring high-quality code delivery in a dynamic environment.
As a Staff Applied ML Scientist, you will develop advanced machine learning algorithms to generate insights from large-scale computer networks, specifically focusing on cybersecurity issues. Your role involves utilizing state-of-the-art machine learning and graph learning techniques, fine-tuning LLMs, and building scalable ML products that enhance security policies for users.
As a Machine Learning Engineer, you will enhance our content recommender system, create machine-learning features, build and deploy models, and work collaboratively with data engineers and other teams to improve performance and gather insights into customer behavior.
The Senior Machine Learning Engineer will develop and implement scalable machine learning models, focusing on ranking and recommendation systems. Responsibilities include conducting A/B tests, analyzing data, collaborating cross-functionally, and building reusable libraries while maintaining thorough documentation.
The Machine Learning Engineer will collaborate with research scientists and partner laboratories to develop and improve end-to-end ML pipelines for multimodal models. The role involves training and serving robot foundation models while enhancing data infrastructure and contributing to significant publications.
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As a Senior Software Engineer in the Central AI team, you will build and maintain core infrastructure to support machine learning engineers and data scientists. Your role involves solving complex infrastructure challenges, leading projects, and collaborating with other teams to ensure effective AI integration.
The Senior Scientist in Machine Learning will develop generative models and algorithms for protein design, scale systems using GPU resources, and collaborate with both computational and wet lab teams to create new therapeutics. The role also involves engineering machine learning systems for large-scale applications and presenting research findings.
The Senior Machine Learning & Computer Vision Engineer will lead efforts in building computer vision models for 3D dental scans, develop ML models for generative AI tasks, and collaborate with teams to enhance product offerings using massive datasets. The role emphasizes establishing best practices in MLOps and delivering rapid value to customers.
The Machine Learning Infrastructure Engineer will drive ML infrastructure and operations, collaborating with ML Engineers and Data Scientists to support model development and deployment. Key responsibilities include building scalable infrastructure for model lifecycle management, creating an internal training platform, and deploying data stores for batch pipelines and real-time recommendations.
The Lead Data Science Analyst will manage advanced analytics initiatives, focusing on credit risk and home loans servicing. The role involves developing machine learning algorithms, collaborating cross-functionally to deliver insights, and creating reports and dashboards to monitor metrics. Additionally, the analyst will identify and implement efficiency improvements and continuously enhance their skills through training.
The Principal Machine Learning Engineer will drive the development and implementation of machine learning algorithms, collaborate with product and engineering teams, design architectures, conduct experiments, and guide emerging ML engineers, ensuring the effective integration of AI across Atlassian's products and services.
The Senior Principal Machine Learning Engineer will guide the development and deployment of advanced machine learning algorithms, collaborating closely with various teams to integrate AI functionalities across Atlassian products. Responsibilities include designing system and model architectures, conducting experiments, mentoring other ML engineers, and ensuring the effective use of AI in the product suite.
As a Machine Learning Engineer on the On-Device ML team, you will design and prototype new features, build and implement ML models, collaborate with product teams, and launch and monitor model deployments, all aimed at enhancing Grammarly's writing assistance capabilities on devices.
You will build Cash App's customer support chatbot, utilize smart tooling, engineering high-throughput ML models and mentor other team members. You'll work with Product, Design, and Engineering teams to enhance customer support experiences through advanced machine learning techniques.
The Staff Machine Learning Engineer will lead the development of a marketing experimentation platform, working with cross-functional teams to design scalable ML products for optimization and ROI measurement. Responsibilities include system architecture, stakeholder collaboration, and improving ML engineering practices.
The Senior Machine Learning Scientist will lead the development of machine learning algorithms, collaborate with cross-functional teams on data fusion problems, design neural network architectures, manage research projects, and optimize software for performance. They will also stay current on advancements in machine learning and contribute to novel algorithm development.
The Senior Machine Learning Engineer will partner with product and marketing teams to enhance customer experiences and drive growth. Responsibilities include building and deploying machine learning models specializing in personalization for Cash App and Afterpay. The role emphasizes creativity, collaboration, and leveraging large transaction datasets for innovative AI applications.
Computer Scientists will work in a classified environment employing various scientific techniques to analyze intelligence data and assist in the development of OSINT capabilities. Responsibilities include integrating algorithms, maintaining databases, and creating briefs for senior leadership.
As a Staff Data Scientist at ezCater, you will lead the design and implementation of advanced data science models and statistical analysis. You will mentor other data scientists, innovate analytics techniques, conduct A/B testing, and develop predictive models to enhance customer experience and contribute to data-driven decision-making.
As a Senior Machine Learning Engineer on the Personalization team, you will leverage machine learning to enhance customer experiences and drive growth for Cash App. You will work closely with product and marketing teams to develop and deploy machine learning models tailored to customer interactions, utilizing a rich data set for personalized recommendations.
As a Security Assessment Analyst at SailPoint, you'll assist pre- and post-sales teams by completing security assessments and questionnaires, focusing on security controls and product safety. You'll need to understand technology and regulatory issues while maintaining high attention to detail. Responsibilities include improving security assessment processes, maintaining a response database, and supporting sales teams with documentation.
As a Machine Learning Engineer at ZS, you will build and monitor model pipelines, scale machine learning algorithms, implement ML Ops, write production-ready code, and collaborate with global teams to deliver projects. You'll also research and evaluate new technologies and maintain high-quality deliverables.
Top Companies in Leon Hiring Machine Learning Engineers
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