Top Data & Analytics Jobs
The Machine Learning Engineer will fine-tune and maintain large language models for Humanoid Robots and Autonomous Driving Cars, develop training and deployment pipelines, leverage large-scale datasets, explore synthetic data generation, and collaborate with teams to align on product needs.
The Senior Staff Machine Learning Engineer will design, train, and deploy large deep learning models to enhance autonomous driving capabilities. This role involves establishing ML infrastructure for large model training and inference, and requires collaboration with software engineers and research scientists to advance state-of-art machine learning models.
The Machine Learning Engineer will design, train, and deploy large deep learning models utilizing extensive data from a fleet of vehicles, focusing on enhancing model training and inference for autonomous driving solutions.
The Senior Machine Learning Engineer will develop and optimize perception algorithms for autonomous vehicles, focusing on deep learning and computer vision. Responsibilities include training models on GPU clusters, improving algorithms, and collaborating with software teams.
As a Staff Machine Learning Engineer, you will design deep learning algorithms using vast data from vehicles, adopt recent advancements in machine learning, and collaborate with software developers to enhance the autonomous driving product.
The role involves designing deep learning algorithms for autonomous driving, working with labeled and unlabeled data from vehicles, and collaborating with developers to implement AI software systems and research advancements in machine learning.
As a Data Scientist at Figma, you will work closely with product teams to utilize data science methodologies to influence product strategy, enhance user experience, and optimize product development. Responsibilities include leveraging machine learning, designing experiments, and collaborating with cross-functional teams to analyze user behavior and inform decision-making.
As a Senior Staff Machine Learning Engineer, you will investigate and implement advanced AI methodologies to enhance productivity and automate workflows, work with cross-functional teams on AI integration, and mentor engineers in adopting AI technologies.
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As a Graduate Quantitative Researcher, you will develop algorithmic trading strategies using statistical models and machine learning. You will analyze vast data sets, create complex models to predict market movements, and work with a team of experts to drive innovative solutions for trading strategies.
As a Machine Learning Engineer at Kalepa, you will lead the development and deployment of machine learning models to assess the risk of various businesses using diverse data sources. You will have full ownership of your projects, collaborating closely with product management and software engineers in an agile two-week sprint environment.
As a Senior Data Scientist, you will analyze and model data to create interventions for U.S. Customs and Border Protection. Responsibilities include collaborating with stakeholders, developing project plans, cleaning and transforming data, building predictive models, and presenting findings to both technical and non-technical audiences.
As a Senior Leader at Axtria, you will lead transformational projects in cloud data management and analytics for life sciences clients, ensuring delivery excellence and strategic client engagement while fostering client relationships and driving innovation in technologies such as AI and cloud platforms.
The Technical Director will guide the technical direction of Epic's Advanced Analytics and ML Services team, focusing on scalable solutions for batch and real-time workloads. Responsibilities include championing ML integration efforts, collaborating with stakeholders, mentoring team members, and overseeing the design, planning, and execution of data systems.
The Research Scientist will conduct advanced research in AI and autonomous systems, focusing on scalable autonomy stacks and closed-loop simulations. The role involves collaboration with peers and engineers to develop algorithms and contribute to industry-leading publications. Candidates should have a strong research background and be passionate about deploying models in real-world autonomous systems.
As a Systems Analyst in the Tax Ignition practice, you will lead the technical aspects of generative AI projects, working with cross-functional teams to develop AI solutions, validate new technologies, and engage stakeholders while maintaining documentation and reports.
The Data Scientist AI/ML Expert at Stellar Science will develop and apply AI/ML models to analyze scientific and engineering data, enhance modeling accuracy, and contribute to complex software projects. Responsibilities include utilizing various machine learning concepts and frameworks to process and visualize large datasets.
The Senior Machine Learning Engineer will lead the development and deployment of machine learning models to assess business risks. This role involves working with both structured and unstructured data to derive insights and requires collaboration with Product Management and Software Engineers over two-week sprints.
Kalepa is seeking a Senior Machine Learning Engineer to lead the development and deployment of machine learning models. Responsibilities include transforming structured and unstructured data into insights about risk, collaborating closely with product managers and software engineers, and owning project direction within agile sprints.
The Machine Learning Engineer will lead the development and deployment of machine learning models to evaluate business risks. Responsibilities include transforming large datasets from various sources into actionable insights, while collaborating with Product Management and Software Engineers within a sprint-based workflow.
As a Senior Machine Learning Engineer, you will lead the development and deployment of machine learning models to evaluate business risks using large datasets. Responsibilities include collaborating with product management and software engineers while driving project direction and ownership of model outcomes in a fast-paced environment.
The Machine Learning Engineer will frame, develop, and deploy machine learning models to assess risks for various businesses, utilizing diverse data sets including structured, unstructured, web, and satellite data to derive insights on behavior and risk.
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Principal Machine Learning Engineer needed at Twilio to spearhead ML/AI focused research projects, build prototypes, and explore emerging technologies. Responsibilities include researching new ML and AI technologies, building prototypes, collaborating with cross-functional teams, and influencing steering committee discussions on AI usage. Must have 10+ years of hands-on engineering experience.
Kalepa is seeking a Senior Machine Learning Engineer to lead the development and deployment of machine learning models, focusing on understanding business risks using vast amounts of structured and unstructured data. The role involves collaboration with Product Management and Software Engineers, as well as full ownership of projects within a two-week sprint framework.
As a Machine Learning Engineer at Kalepa, you will develop and deploy machine learning models to analyze business risks from diverse data sources. You are responsible for leading projects, collaborating with Product Management and Software Engineers, and driving innovative solutions in a fast-paced environment.
Seeking a VP, Data Science & ML to lead modeling and AI/ML initiatives across the enterprise. Responsibilities include setting strategic direction, managing existing models, collaborating on machine learning platform deployment, and leading a team.
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