Top Machine Learning Jobs in Charlotte, NC
Design, develop, and program methods, processes, and systems to analyze big data sources and generate actionable insights. Collaborate with product and service teams to identify questions and issues for data analysis and experiments. Develop software programs, algorithms, and automated processes to cleanse and evaluate large datasets. Communicate insights and findings to stakeholders.
Design, build, and enhance batch and real-time inference services and tooling that support machine learning use cases. Collaborate with ML modelers to encourage adoption of new tools and technologies and plan for future needs of the ML teams.
Lead and contribute to developing and implementing machine learning models and algorithms for a tech company in the TV advertising industry, focusing on scalability, performance, and innovation. Responsibilities include designing and optimizing models, preprocessing data, deploying models, mentoring junior engineers, and collaborating with cross-functional teams. Requires 10+ years of experience in backend systems with a specialization in machine learning, a degree in Computer Science or related field, familiarity with core ML technologies, and expertise in machine learning algorithms.
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Develop ML solutions to increase safety, efficiency, and sustainability of physical operations at Samsara. Collaborate with engineering teams and partners to deliver core infrastructure and optimizations.
Atlassians have flexibility in where they work - whether in an office, from home, or a combination of the two. That way, Atlassians have more control over supporting their family, personal goals, and other priorities. We can hire people in any country where we have a legal entity. Interviews and onboarding are conducted virtually, a part of being a distributed-first company. Atlassian is ...
Responsible for developing innovative and practical Generative AI applications for Tempus product line. Collaborate cross-functionally with other teams to understand needs and requirements. Conduct research and exploration of generative AI techniques, with a specific emphasis on healthcare applications. Design and implement generative AI models tailored for healthcare scenarios. Collaborate with domain experts, clinicians, and researchers to validate and refine the models' outputs.
Senior Data Scientist role at Sensor Tower focusing on developing data modeling algorithms, consulting on AI usage, and acting as a subject matter expert for digital advertising. Requires 4 years of experience in ad-tech/mar-tech industry and expertise in Python, Ruby, AWS, and statistical visualization tools.
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Develop robust, scalable production ML systems using Python, Tensorflow, Airflow, Kafka, PostgreSQL, Redis, and AWS. Collaborate with Data Scientists and Product Managers to deliver personalized experiences to learners at scale. Strong focus on building algorithms and frameworks for personalization capabilities.
Senior Software Engineer focused on ML Infrastructure at Thumbtack. Responsible for centralizing, standardizing, and evolving machine learning infrastructure capabilities. Collaborate with engineers, scientists, and product managers to execute on the shared vision for generative AI, feature platforms, model deployment, and monitoring.
Looking for a Software Engineer focused on neural network deployment and GPU software development to join Scythe. Responsibilities include optimizing models for deployment, maintenance of evaluation tooling, collaborating with the Perception team, and more. Required skills include C++, Python, PyTorch, TensorRT, CUDA, and familiarity with Linux and AWS.
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