Top Machine Learning Jobs in Sacramento, CA
Seeking a skilled MLOps Engineer to spearhead model deployments for Computer Vision and Machine Learning. Responsibilities include designing and implementing MLOps pipelines, managing the lifecycle of models, optimizing cloud infrastructure, collaborating with the team, and staying updated on industry trends.
Experiment with state-of-the-art algorithms to improve knowledge retrieval and search efficiency, develop Natural Language Processing and Gen AI models to enhance customer support, collaborate with cross-functional teams, monitor model performance, and prepare reports on trends.
As a Security Governance Partner for Cash App's Machine Learning and Data Science, you will act as a security domain expert, collaborate with various teams, automate governance tasks, drive security requirements, and promote security standards and frameworks.
Lead Cash App's Personalization ML organization, overseeing all personalization ML modeling and engineering work for Cash App & Afterpay. Partner closely with product leaders to incorporate machine learning and AI into new features and enhance existing products. Grow, lead, and mentor a team of machine learning modelers, scientists, and engineers. Contribute to strategic plans and shape the company's ML and AI strategy.
The Machine Learning Engineer 3 position at FreeWheel, a Comcast company, involves working on a wide range of computational challenges such as user response prediction, bidding optimization, forecasting, and more. The role requires expertise in Machine Learning/Data Science technologies and cloud platforms.
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Design, build, evaluate, deploy, and iterate on large scale Machine Learning systems at Dropbox. Collaborate with cross-functional teams to personalize user experiences and impact millions of users. Requires BS or MS in Computer Science, 2+ years of experience, strong analytical and problem-solving skills, and proficiency in Python, C, and C++.
As a Senior Engineering Manager, you will lead a team of engineers to build Dropbox's AI offering, Dash. You will drive product monetization and revenue generation while fostering a collaborative culture. Your responsibilities include team development, decision-making based on data insights, and contributing to technical and product strategies. The role requires a strong background in software engineering, distributed systems, and backend infrastructure. Preferred qualifications include a PhD in Computer Science and experience in machine learning.
Shape the future direction of the organization by leveraging the latest advancements in AI/ML. Collaborate with cross-functional teams to build and iterate on large-scale Machine Learning systems. Contribute to the technical strategy for the machine learning lifecycle.
As a Senior Machine Learning Engineer at Wasabi, you will deploy scalable machine learning solutions and enhance computer vision and audio processing capabilities. You will work with a modern software stack and collaborate with a team of passionate engineers to drive innovation in machine learning and cloud storage.
Seeking an experienced Machine Learning Engineer to join our team and contribute to the development of AI features and infrastructure at Samsara. This role involves working on computer vision, large language models, and multimodal machine learning for edge devices and the cloud. Join us and make a real-world impact on industries such as agriculture, construction, transportation, and manufacturing.
Join Grammarly as a Machine Learning Engineer on the Marketing Technology team. You'll be responsible for improving data-driven decision-making, enhancing customer experiences, and optimizing marketing campaigns through the use of machine learning solutions. Collaborate with various teams to personalize marketing efforts and promote best practices in research and implementation.
Design, build, and manage distributed services and pipelines for Underwriting & Credit at Cash App. Lead cross-team projects, ensure high code quality, collaborate with various teams, and contribute to development capabilities through mentoring.
Join Arity as a Machine Learning Scientist to work on building scalable distributed machine learning models for analyzing geospatial data and creating innovative insights. Collaborate with a cross-functional team to enhance transportation safety and efficiency through data-driven solutions.
As a Generative AI Scientist at Mission Cloud, you will leverage generative AI models to build internal products, collaborate with teams, and contribute to groundbreaking AI solutions. Responsibilities include designing and deploying AI models, collaborating with interdisciplinary teams, and staying updated on AI trends. Requirements include experience in AI model implementation, programming skills in Python and AI frameworks, and AWS certifications. This remote position offers a rewarding package and career development opportunities.
Top Companies in Sacramento, CA Hiring Data + Analytics Roles
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