Top Machine Learning Jobs
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.
The Manager of Machine Learning at Apex Fintech Solutions leads a team of data scientists and ML engineers to create new data products from financial transactions. Responsibilities include developing ML models, collaborating with stakeholders, and staying updated on advancements in machine learning. The ideal candidate has a Bachelor's degree in a quantitative field, 5+ years of experience in ML solutions, and 3+ years of team management experience in technology-focused companies.
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 techniques on large datasets, evaluate emerging technologies, contribute to thought leadership, possess a STEM degree, expertise in Python and Pyspark, experience in feature engineering and ML platforms, knowledge of big data concepts and machine learning algorithms, strong communication and problem-solving skills.
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As a Senior Machine Learning Engineer at Wasabi, you will deploy scalable machine learning solutions and enhance computer vision and audio processing capabilities. You will work with a modern software stack and collaborate with a team of passionate engineers to drive innovation in machine learning and cloud storage.
Featured Jobs
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.
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
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.
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.
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.
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.
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