Top Machine Learning Jobs in Leon
The Senior Machine Learning Engineer will design and build services for ML modelers, integrate data streams to create efficient models, and lead MLOps initiatives. The role involves collaborating with various teams to enhance ML tools and infrastructure while maintaining production software and developing new solutions.
As a Senior Applied Scientist at Chewy, you will lead the deployment of machine learning and data science to enhance shopping experiences, develop new models, and influence product and engineering strategies. You will mentor junior scientists and present research findings to business leaders.
The Director of Machine Learning Operations will lead the ML Ops team to develop, implement, and oversee machine learning strategies. Responsibilities include managing ML infrastructure, deploying models, ensuring performance and scalability, and collaborating with cross-functional teams to integrate ML solutions into the advertising technology platform.
In this role, the Senior Manager of Machine Learning will lead a team focused on developing machine learning solutions for fraud prevention in the financial services sector. Responsibilities include team management, performance evaluation of models, and collaboration with various teams to enhance customer experience and business profitability.
As a Principal Machine Learning Engineer at Snap, you will drive the Ad Ranking team's technical roadmap, implement and scale machine learning models, and collaborate on strategies to enhance monetization. You will advocate for best practices in model performance and operational excellence, while mentoring and providing technical direction across teams.
The Principal Machine Learning Engineer will design and scale machine learning components, optimize training processes using GPUs, and develop an AutoML platform. The role entails collaboration across teams to meet product requirements and advocating for best practices in operational excellence.
As a Principal Engineer in ML/AI, you will lead technical efforts across teams, drive product development, set engineering standards, and provide mentorship while collaborating closely with various stakeholders to enhance and innovate financial services.
The Staff Machine Learning Engineer will architect and scale recommendation systems for the streaming app Max, collaborating with various teams to enhance core machine learning infrastructure and projects. The role emphasizes leadership in promoting experimentation, data-driven innovation, and mentoring engineers while ensuring high standards in technical work and project execution.
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The Machine Learning Engineering Specialist at ZS will design and implement ML features, collaborate with client teams, write production-ready code, ensure deliverable quality, conduct testing, participate in agile ceremonies, evaluate new technologies, and support project architecture.
Lead a team of machine learning engineers in developing a personalized video recommendation engine. Responsibilities include defining system architecture, conducting A/B testing, performing design reviews, and optimizing performance metrics to improve the recommender system.
As a Principal Machine Learning Engineer, you will lead the technical roadmap for Snap's Ad Marketplace, designing and scaling machine learning models to enhance ad efficiency, collaborate with teams on machine learning strategies, and ensure operational excellence throughout the system.
As a Senior Machine Learning Engineer at TrueML, you'll architect and implement ML infrastructure, develop production-grade ML pipelines, and maintain systems for real-time and batch decision-making. You'll collaborate with data engineers and data scientists to scale algorithms and ensure robust deployment of machine learning models.
The Machine Learning Engineer will focus on enhancing search relevance and personalization on Instacart's platform by developing and optimizing machine learning models. Collaboration with cross-functional teams is vital to create scalable solutions while also contributing to research and thought leadership.
As a Machine Learning Engineer at JPMorgan Chase, you will design and develop machine learning systems, preprocess datasets, research algorithms, and support workflows for experiments and model deployments. You will transform prototypes into deployable models and develop applications based on business requirements.
The Machine Learning Engineer at Liftoff will develop and train algorithms for real-time bidding, analyze inventory performance, and oversee experiments for optimization strategies. The role involves enhancing existing ML infrastructure, collaborating with engineering teams on data pipelines, and fostering a culture of engineering excellence.
As a Sr. Machine Learning Engineer, you will leverage large-scale computation and machine learning to enhance customer products. You will oversee dataset analysis, lead model development, manage ML Ops, and communicate complex issues effectively while fostering a collaborative environment for improved user experiences.
As a Machine Learning Engineer at Kalepa, you will lead the development and deployment of machine learning models to gauge business risks, utilizing diverse data sources. You'll have full project ownership and collaborate closely with Product Management and Software Engineering teams in an agile environment.
As a Senior Machine Learning Engineering Manager, you will lead the end-to-end machine learning lifecycle, from data collection to deployment. You'll implement novel techniques, mentor team members, and collaborate with cross-functional teams to ensure effective communication and innovation.
As a Machine Learning Strategist at JPMorgan Chase's Machine Learning Center of Excellence, you will integrate business development with technical expertise in AI/ML, identifying new product opportunities while optimizing stakeholder communication and project management.
As an Applied AI ML Director, you will lead efforts in developing ML components, providing expertise in ML algorithms, optimizing workflows, and collaborating on innovative projects. Your role involves a deep understanding of ML techniques and contributions to advanced methodologies in machine learning.
As a Senior Machine Learning Engineer, you will lead the design and implementation of ML strategies, mentor engineers, and drive the development of scalable machine learning algorithms across products at Personio. This role requires collaboration with cross-functional teams and the ability to analyze technical problems while ensuring coding standards are maintained.
As a Senior Machine Learning Engineer, you will build models for search, recommendation, and content understanding within the Marketplace, leading innovative ML solutions and collaborating with cross-functional teams to execute complex technical projects.
The role involves building large-scale machine learning systems focused on connecting users within Roblox, developing features like People You May Know and Friendship Score, and mentoring junior engineers. You will influence product direction and define long-term ML strategies.
The Data Scientist III (ML Engineering) will focus on building machine learning solutions to enhance Cedar’s healthcare payment platform. Responsibilities include conducting deep data analyses, developing and optimizing ML-powered features, building and optimizing data pipelines, and measuring model performance for continuous improvement.
As a Senior Machine Learning Engineer, you will lead the development and deployment of machine learning models to analyze risk across various business classes, utilizing extensive structured and unstructured data. You will work closely with Product Management and Software Engineers within an agile environment to drive project ownership and direction.
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