As a Lead, Machine Learning Engineer at PGIM, you will partner with Data Scientists, Data Engineers, Data Analysts, and other professionals to implement machine learning models that deliver stability, producibility, scalability, and integration with other products and services. You will operationalize ML software models, solve complex problems through coding and testing, and leverage cloud-based architectures to deliver optimized ML models at scale. This role requires advanced technical expertise, problem-solving, communication, and teamwork skills, along with agile ways of working, strong business insight, an inclusive leadership attitude, and a continuous learning focus.

LEAD, MACHINE LEARNING ENGINEER

Lead, Machine Learning Engineer

Harnham is seeking a talented Machine Learning Engineer to join an innovative tech startup focused on transforming the radio frequency landscape. This role involves deploying cutting-edge algorithms and developing advanced ML solutions for pioneering RF projects, offering a unique opportunity to make a significant impact in the RF domain.

Founding Machine Learning Engineer

Nike is seeking a Lead Machine Learning Engineer to join their Enterprise Data & AI Consumer AI/ML team. This role involves building solutions to transform the customer experience on Nike Digital Platform, working with a cross-functional team, and applying various machine learning techniques to massive data. The ideal candidate will be a problem-solver with a strong ability to learn new technologies, communicate ideas, and collaborate effectively.

Lead Machine Learning Engineer AI/ML - Consumer Marketplace (Remote Work Option)

Lead Machine Learning Engineer

As a Machine Learning Engineer at JPMorgan Chase within the AI/ML Solution Engineering Group, you will be involved in designing and developing machine learning systems, preprocessing and engineering features, implementing machine learning algorithms, and deploying models. This role offers the opportunity to collaborate on innovative solutions that serve global customers, leveraging extensive knowledge across all aspects of the machine learning lifecycle.

Machine Learning Engineer

Meta Platforms, Inc. (Meta), formerly known as Facebook Inc., is seeking a Software Engineer specializing in Machine Learning. The role involves researching, designing, developing, and testing software for massive social data and prediction problems, leveraging deep learning, data regression, and rules-based models. The position requires a Bachelor's degree in a related field and experience with machine learning frameworks, programming languages, and software development tools.

Software Engineer, Machine Learning

Oura is seeking a Machine Learning Data Scientist to join their Women's Health team, focusing on developing and commercializing novel machine learning models and algorithms. This role involves building and deploying machine learning pipelines and models, conducting exploratory research, and delivering statistical analyses for model performance evaluation. The position is remote, with a preference for candidates based in San Francisco, San Diego, or Boston.

Machine Learning Data Scientist - Women's Health

Machine Learning Data Scientist

As an AI/ML NLP Engineer at a fast-growing FinTech firm in New York City, you will be responsible for designing, developing, and implementing AI/ML models for natural language processing (NLP) applications. This role involves working with large datasets, selecting appropriate algorithms and techniques, training or fine-tuning models to achieve optimal performance, and deploying and monitoring model performance in production. You will work in a collaborative team environment across product management, data engineering, and software engineering teams.

AI/ML NLP ENGINEER – HYBRID:JOB ID: 5282

AI/ML NLP Engineer

As a Senior Manager, Machine Learning Engineering at Capital One, you will be part of an Agile team dedicated to productionizing machine learning applications and systems at scale. This role involves detailed technical design, development, and implementation of machine learning applications using existing and emerging technology platforms, focusing on machine learning architectural design, developing and reviewing model and application code, and ensuring high availability and performance of machine learning applications. You will have the opportunity to continuously learn and apply the latest innovations and best practices in machine learning engineering.

Senior Manager, Machine Learning Engineering

As a Manager of Machine Learning Engineering at Smarsh, you will be responsible for both technical leadership and people management, focusing on driving the development, deployment, and support of advanced analytics for communications intelligence and actionable insights. This role involves close collaboration with cross-functional teams, including product managers, data scientists, and other stakeholders, to innovate and deliver high-quality, secure, and resilient cloud-based SaaS Analytic solutions.

MANAGER, MACHINE LEARNING ENGINEERING

Manager, Machine Learning Engineering

Genentech Computational Sciences (gCS) Prescient Design is seeking a Senior Machine Learning Engineer to develop and deploy large language models (LLMs) and AI products for drug discovery and scientific applications. The role involves cutting-edge development, deployment, and maintenance of LLMs in production environments, solving core research engineering challenges, and collaborating with cross-functional teams. The ideal candidate will have a strong background in machine learning, programming, and experience with deep learning frameworks such as PyTorch.

SENIOR MACHINE LEARNING ENGINEER, PRESCIENT LLMS

Senior Machine Learning Engineer

Quizlet is seeking a Senior Machine Learning Engineer to join their Data Science team, focusing on enhancing and personalizing monetization strategies through ML/AI driven products and features. This role involves envisioning, researching, developing, and improving high impact ML/AI products, collaborating closely with cross-functional teams, and staying up-to-date with the latest advancements in ML/AI and educational technology. The position is hybrid, based out of Denver, Los Angeles, New York, Seattle, and San Francisco office hubs.

SR. MACHINE LEARNING ENGINEER, SUBSCRIPTION

Alloy is seeking a Senior Machine Learning Engineer to join the Predict team, focusing on building machine learning into Alloy’s product to improve clients' decision-making and manage risk. This role involves architecting scalable machine learning systems, working across teams to integrate relevant data, building and managing the interface between the machine learning system and the Alloy application, and collaborating on machine learning algorithms. The position is based in Greater New York City and offers a competitive compensation package, including a base salary range of $199,000 to $234,000, equity awards, and a comprehensive benefits package.

SENIOR MACHINE LEARNING ENGINEER, PREDICT

Vimeo is seeking a highly motivated and innovative Senior Machine Learning Engineer to join their team. The role involves designing, developing, and deploying machine learning models to drive personalization across various customer touchpoints, enhancing the overall user experience. The ideal candidate will collaborate closely with cross-functional teams to integrate ML solutions that optimize marketing strategies and sales performance, and will have a deep understanding of state-of-the-art technologies, algorithms, and paradigms.

SR. MACHINE LEARNING ENGINEER

As a Senior Machine Learning Engineer at Personio, you will be at the forefront of shaping our Machine Learning landscape, leading the design and deployment of scalable machine learning algorithms across all our product groups. This hybrid role, based in New York City, involves providing technical leadership, collaborating with cross-functional teams, and driving innovation and improvements in machine learning technologies.

SENIOR MACHINE LEARNING ENGINEER

Meta Platforms, Inc. (f/k/a Facebook, Inc.) is seeking a Research Scientist specializing in Machine Learning to research, design, develop, and test operating systems-level software, compilers, and network distribution software for massive social data and prediction problems. This role is based in New York, NY, and offers a competitive salary range of $178,360.00/year to $200,200.00/year.

Research Scientist (Machine Learning)

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