Top Hybrid Machine Learning Jobs
Experiment with state-of-the-art algorithms to improve knowledge retrieval and search efficiency, develop Natural Language Processing and Gen AI models to enhance customer support, collaborate with cross-functional teams, monitor model performance, and prepare reports on trends.
As a Security Governance Partner for Cash App's Machine Learning and Data Science, you will act as a security domain expert, collaborate with various teams, automate governance tasks, drive security requirements, and promote security standards and frameworks.
Seeking a Deep Learning Research Scientist to create novel deep learning systems and push the boundaries of AI capabilities. Fully remote position reporting to the Dessa AI Research Lead. Responsibilities include designing, developing generative AI systems, improving existing deep learning systems, and contributing to open-source projects.
Develop and deploy AI models for Gusto's customers using NLP and LLM techniques.
Develop, evaluate, and ship AI models for Gusto's customers using proprietary and open source LLMs. Collaborate with multidisciplinary teams to build and enhance AI applications. Research novel AI techniques for improved customer experiences.
Build and enhance AI models using proprietary and open source LLMs, with a focus on NLP applications. Collaborate with cross-functional teams to develop and deploy AI-based products.
Lead the Machine Learning team at Apex Fintech Solutions, responsible for creating new data products from financial transactions. Manage data scientists and ML engineers, develop machine learning models, collaborate with stakeholders, and stay updated on ML advancements. Requires a Bachelor's degree in a quantitative field, 5+ years of ML experience, and experience managing teams in technology-focused companies.
The Manager of Machine Learning at Apex Fintech Solutions is responsible for leading a team of data scientists and ML engineers to develop new data products from financial transactions. Key responsibilities include overseeing the design, development, and deployment of machine learning models, collaborating with stakeholders, hiring and leading a team, and staying abreast of advancements in ML and AI fields.
Seeking a technical, execution-minded leader for the Machine Learning team at Apex Fintech Solutions. Responsible for leading a team of data scientists and ML engineers to create data products from financial transactions. Must work closely with the Director of Data Science, product managers, and engineering teams to improve operational efficiency and decision-making through data harnessing. Key duties include model development, stakeholder communication, and team leadership.
Featured Jobs
Develop advanced algorithms for large data sets, evaluate emerging datasets and technologies, contribute to thought leadership, possess strong analytical and quantitative skills, and have expertise in machine learning algorithms and big data concepts.
Develop advanced AI algorithms, data mining techniques, and machine learning models to solve complex problems efficiently. Evaluate emerging datasets and technologies. Contribute to thought leadership by researching and publishing on evolving topics. Requires a Bachelor's or Master's degree in STEM, expertise in Python and Pyspark, and experience in engineering features from various data sources.
Develop advanced algorithms, execute statistical and data mining techniques, evaluate emerging datasets and technologies, contribute to thought leadership, possess a Bachelor's or master's degree in STEM, strong knowledge of Python and Pyspark, experience in engineering features from data sources, expertise in machine learning platforms and algorithms, excellent communication and critical thinking skills.
Drive technical and organizational roadmap for machine learning engineering team at Snap Inc. Develop cutting-edge solutions, lead a team of engineers, and collaborate with cross-functional teams to create innovative features for Snapchat users.
Develop cutting-edge algorithms for airspace security, work on advanced visual target tracking software, collaborate with academic and industry partners, deploy computer vision tracking algorithms on the edge, solve machine learning problems using Python
Senior Signal Processing Engineer at WHOOP, responsible for deploying AI models on edge devices, optimizing battery consumption, personalizing calculations, developing algorithms, and collaborating with cross-functional teams. Requires 4+ years of experience in signal processing and machine learning with expertise in C and Python.
Seeking a Senior Machine Learning Engineer to drive product strategy, architect solutions, develop scalable algorithms, and deploy advanced technologies. Collaborate with cross-functional teams to focus on scalability, measurement, and observability of ML systems.
GoodRx is looking for an experienced Senior Machine Learning Engineer to enable and accelerate our machine learning efforts to help maximize the value of GoodRx's platform for both customers and stakeholders. The ideal candidate should possess a unique combination of practical, hands-on data and analytics technical expertise and building data services and products with a large volume of datasets and strong understanding of inner working of various machine learning models.
GoodRx is seeking a Senior Machine Learning Engineer with extensive experience in building machine learning systems at scale. The ideal candidate will have a master's degree in Machine Learning or a related field and strong programming skills in Python, Scala, and Golang. They should also have experience working with AWS, GCP, or Azure, as well as Databricks and Apache Spark. Expertise in deep learning frameworks such as TensorFlow, PyTorch, and MXNet is required. This role will involve developing and implementing analytical capabilities, building machine learning models and pipelines, and collaborating with data scientists and analysts.
GoodRx is seeking an experienced Senior Machine Learning Engineer to accelerate the machine learning efforts of their platform. The ideal candidate should have strong technical expertise in data and analytics, experience with building machine learning models and pipelines, and a deep understanding of various machine learning models.
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Grammarly is seeking a Machine Learning Engineer to join their Marketing Technology team. The role involves shaping marketing strategies, improving customer experiences, and optimizing marketing campaigns using data and advanced algorithms. Responsibilities include maximizing ROI for advertising campaigns and delivering targeted ads to the right audience.
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