Top Machine Learning Jobs
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.
The Machine Learning Quality Engineer at ServiceNow will be responsible for testing AI/ML models, designing testing strategies, creating comprehensive test plans, and collaborating with developers to ensure high-quality results. The ideal candidate should have a Bachelor's or Master's degree in Computer Science/Engineering, 3 years of work experience, strong test automation skills in Java/Python, and experience with automated testing frameworks and agile methodology.
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.
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.
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.
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.
Featured Jobs
Design, develop, and implement machine learning algorithms and models, collaborate with data scientists, deploy machine learning models into production systems, conduct hyper parameter optimization, research and analyze data sets, communicate AI capabilities, collaborate closely with cloud and SRE teams.
Seeking an Engineering Leader in Machine Learning for Security AI to lead teams, architect solutions, and drive innovation. Responsibilities include team leadership, architecture design, model development, training, and solution development in the realm of Security AI.
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.
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Senior ML Engineer role at Grammarly's On-Device ML team responsible for proposing, designing, and implementing strategic new features using ML models to enhance writing assistance capabilities. Collaborate with core product teams, monitor deployment, and leverage academic research to advance technology.
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.
The Staff Machine Learning Engineer role at Cruise involves driving applied ML research and development for urban roads related to Perception and Object Tracking. Responsibilities include exploring new algorithms, optimizing on-road performance, guiding technology choices, and enabling team members. Required qualifications include a PhD/MS degree in computer vision or machine learning, experience in deep learning projects, programming skills in Python and/or C++, expertise in ML frameworks, strong communication skills, and the ability to design scalable architectures.
Seeking an ML Engineer to join the AI team at Notion, responsible for incorporating AI technologies into the product and exploring the boundaries of ML technology. Must have 3+ years of experience in machine learning, recommendation systems, or natural language technologies.
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