Top Machine Learning Jobs
Research and build high-impact end-to-end machine learning systems for customer growth, drive the design of scalable ML solutions in production, mentor engineers and data scientists, contribute back to research community through publications, deep knowledge in multiple ML methodologies, and production experience with ML-frameworks.
Join Warner Bros. Discovery as a Senior Staff Machine Learning Engineer to build a scalable Machine Learning platform for personalized experiences across global brands. Work on training, evaluating, deploying, serving, and monitoring ML models.
We are hiring Senior Machine Learning Engineers to join the ML Platform team. As part of a rapidly growing team, you will own complex systems that will provide a personalized and unique experience for millions of users across over 200 countries for all the WBD brands.
Seeking a Machine Learning Engineer with expertise in Python, Machine Learning, and Data Science to join the Optimization team. Responsibilities include developing machine learning algorithms, data pipelines, and deploying models into production. Collaborates with internal teams, provides leadership, and contributes to future product development studies.
Lead the development of AI and Machine Learning solutions to enhance user experience and workflow efficiency for enterprise services at ServiceNow. Collaborate with a team of scientists, developers, and product managers to deliver innovative solutions to enterprise customers worldwide.
The Director of Machine Learning Engineering Management at ServiceNow will lead the team in building AI and Machine Learning solutions to enhance user experience and workflow efficiency in enterprise services. Responsibilities include overseeing strategy for improvements, combining techniques for specific tasks, managing data acquisition and evaluation metrics, and collaborating with a multidisciplinary team to produce quality software.
Quality assurance and application development experience with strong test automation skills in Java and Python. Hands-on testing of large-scale production systems and AI/ML models. Analytical, problem-solving, and communication skills required to create and maintain automation test frameworks. Collaborate with developers to design testing strategies and create comprehensive test plans.
Featured Jobs
Create models to drive value for users, advertisers, and the company. Evaluate technical tradeoffs, perform code reviews, build lasting products, and iterate quickly. Strong collaboration and mentorship skills are essential.
Create machine learning models to drive value for users, advertisers, and the company. Evaluate technical tradeoffs, perform code reviews, and build scalable products. Strong collaboration and mentorship skills required.
Snap Inc is looking for a Machine Learning Engineer to create models that drive value for users, advertisers, and the company. Responsibilities include evaluating technical tradeoffs, code reviews, and building scalable products. Strong understanding of machine learning algorithms and the ability to work independently are required.
Build and integrate ML solutions for evaluating customer cash flow risk, support multiple products, empower teams to understand financial performance, experiment with modeling techniques, partner cross-functionally with finance, product, and engineering teams.
Senior Software Engineer role in Remitly's Machine Learning platform team, responsible for building production systems, designing ML feature, training, and serving systems, and ensuring high-quality feature availability for ML models. Requires 4+ years of experience with data feeding ML models, familiarity with feature store concepts, and practical knowledge of building ML models.
Seeking an experienced Machine Learning Infrastructure Engineer to develop, deploy, and manage scalable machine learning solutions within the tech stack. Responsibilities include designing tools and pipelines, orchestrating machine learning applications, collaborating with data scientists, ensuring reliability of models, and staying current with ML infrastructure technologies.
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Join Grammarly's Responsible AI team as a Machine Learning Engineer specializing in NLP. Develop and implement new ML solutions to enhance the safety and fairness of Grammarly products. Work in cross-functional teams to leverage ML advances and build scalable solutions.
As a Machine Learning Engineer at Liftoff, you will own ML models with direct business impact, adopt new technologies, mentor team members, monitor ML research, and influence team roadmaps. Requires 8+ years of ML experience, strong engineering skills, and a degree in Machine Learning, Math, Physics or similar. Experience with AdTech is a plus.
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Design and build machine learning models to solve classification, regression, and machine vision problems. Perform hyper-parameter tuning and optimize prediction performance. Implement production-ready pipelines for ML prediction and training.
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