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Own the data science solutions strategy and uncover opportunities to apply data science to Scholastic’s businesses. The Director of Data Science has overall responsibility for leading data science, machine learning, artificial intelligence and predictive modeling projects within Scholastic. Prove...

Collaborating with cross-functional teams, including software developers and business stakeholders, to understand requirements and deliver impactful solutions. Extensive experience in data engineering, data analysis, and machine learning. Strong problem-solving skills and the ability to translate...

As a Lead Data Scientist, you will be part of our Applied AI and Machine Learning team.

Demonstrated track research record in the fields of statistics, machine learning, computational biology, data science or related field (computer science, physics, biostatistics, bioinformatics). Postdoctoral Fellow, Cancer Data Science. The Tansey lab focuses on developing novel data science and ...

Machine Learning Strategist - Vice President - Machine Learning Center of Excellence. The Machine Learning Center of Excellence (MLCOE) works with diverse business lines to apply advanced AI and machine learning methods to address complex financial challenges. Candidates should possess knowledge ...

W-2 Open Positions Need to be Filled Immediately.Consultant must be on our company payroll, Corp-to-Corp (C2C) is not allowed.Candidates encouraged to apply directly using this portal.We do not accept resumes from other company/ third-party recruiters.Healthcare, Retail, Education, IT/Software.W-...

Experience with Data Science/Machine Learning. They seek a Machine Learning Engineer to join their Manhattan, NY office. Stay up-to-date with the latest developments in data science and machine learning and explore innovations.

Physicist – Radiation Oncology – Full Time - Days. As a radiation oncology physicist, you will assume a leading role in the following standard radiation therapy physics activities: machine calibrations, equipment QA, treatment planning, dosimetry measurements and calculations, brachytherapy, and

At January, we’re transforming the lives of borrowers by bringing humanity to consumer finance. As a Sr ML Ops Engineer, you'll be instrumental in deploying predictive machine learning models at scale at January.

As a Research Engineer working at the Reality Labs, you will be responsible for the implementation and acceleration of our EMG machine learning platform; creating new AI models, tools, and infrastructure that unlock the capabilities of our technology; productionizing our research results, and wor...

Reality Labs at Meta is seeking Research Scientists with experience in product-focused machine learning and signal processing research to advance our pioneering work in neuromotor interfaces, which has grown out of the acquisition of CTRL-labs. We are a multi-disciplinary team of researchers inve...

The Department of Graduate Computer Science and Engineering at Yeshiva University's Katz School of Science and Health invites applications for multiple tenure-track assistant/associate professors in Artificial Intelligence/Machine Learning, Data Analytics, Cybersecurity, and Computer Science for ...

Intuit is looking for an innovative and hands-on.This team embeds artificial intelligence and machine learning into our product portfolio and business to create smarter products, improve anti-fraud and security and enhance customer care.Come join our collaborative and creative group of data scien...

The team is supported by Machine Learning and Data Engineering teams that partners with data scientists to make sure we are building a data-driven culture. As a Growth Data Scientist, you will partner closely with Product, Engineering, Design, and Data Science to build amazing products that will ...

Bachelor's degree in data science, computer science, mathematics, engineering, or related subject required. Master's degree or above in data science preferred. Minimum of 4 years of data science work related experience in data mining and machine learning required.

Senior Software Engineer (Infrastructure). We need you to utilize your combination of strong software engineering experience and cloud service mastery savvy to design, deploy, and monitor all operational aspects of our platform. Developing dependable internal tools that aid our machine learning a...

The Department of Social Services (DSS) is comprised of the administrative units of the New York City Human Resources Administration (HRA) and the Department of Homeless Services (DHS). HRA/General Support Services (GSS) provides safe, healthy, and appropriate facilities for HRA’s various social ...

Director of Emerging Technologies, the Machine Learning Engineer will play a pivotal role in developing AI applications for use by the Columbia University community. Collaboration: Works closely with other engineers, data scientists, and stakeholders to integrate machine learning solutions into u...

We are looking for a passionate Senior Machine Learning engineer to support, build and scale the personalization and search platforms for the global streaming app Max as well as ongoing and future streaming initiatives. In your role, you will be working in a team of passionate machine learning en...

Senior Software Engineer, Machine Learning. Bonus points for a PhD in machine learning, computer science or other related field.

Minimum of 6+ years as a Machine Learning Engineer or Software Engineer specializing in machine learning infrastructure or GenAI applications. Proven track record of building, fine-tuning, and deploying machine learning or generative AI models in production environments. Our team has years of exp...

OXMAN is seeking a Machine Learning Engineer to join an all-star interdisciplinary team of deep thinkers and brilliant makers, with the aim to leverage artificial learning systems as a tool for mediation between human-made and nature-grown environments. By employing a generative approach and a co...

The EvolutionaryScale team is based in two locations: San Francisco and New York.

Work across the complete lifecycle of ML model development, including problem definition, data exploration, feature engineering, model training, validation, and deployment. Passion for customer, innovation, product quality, service excellence, and test engineering. Senior Machine Learning Enginee...