Top Machine Learning Jobs in Reno, NV
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 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.
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.
Featured Jobs
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.
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.
Machine Learning Engineer on the Embeddings team at Liftoff.
As a Senior Staff Machine Learning Engineer at Liftoff, you will own ML models that have a direct business impact, adopt or build new technologies for training and serving ML models, and mentor team members. You will also monitor the latest ML research and have influence over the roadmap.
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.
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.
Work as a Senior Machine Learning Engineer at Movable Ink, focusing on advancing the core machine learning solution and infrastructure. Responsible for building scalable models, deploying them to production, and collaborating with cross-functional teams to improve ML platform.
Seeking a Senior Machine Learning Engineer to develop NLP algorithms, train models, preprocess data, resolve entities, collaborate with teams, innovate, review code, and mentor. Requires 5 years of ML experience, proficiency in Python and ML libraries, and a Bachelor's degree in computer science.
Develop and implement machine learning models for fraud detection, analyze datasets, collaborate with cross-functional teams, monitor model performance, and stay updated on the latest machine learning and fraud detection techniques.
Top Companies in Reno, NV Hiring Data + Analytics Roles
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