In this role, as a Machine learning Engineer, you work mainly on creating great libraries and usability for open research releases. You are excited to be creative and create artifacts that make research models and open weights accessible to users and contributors of the broad open-source machine-learning ecosystem.

As a Data Scientist at Capital One, you’ll be part of a team that’s leading the next wave of disruption at a whole new scale, using the latest in computing and machine learning technologies and operating across billions of customer records to unlock the big opportunities that help everyday people save money, time and agony in their financial lives.

Background in machine learning and artificial intelligence will be a plus. We seek to instill in all students the value of discovery, inquiry, and the liberal arts and sciences as a foundation for professional development and life-long learning.

By leveraging massive amounts of data and advanced machine learning algorithms, Hopper combines its world-class travel agency offering with proprietary fintech products to bring transparency, flexibility and savings to travelers globally.

Develop and fit statistical, machine learning, or optimization models. Proven experience with building and evaluating machine learning models. As a Data Scientist on the Growth team, you will be working to grow Lyft's user base (drivers and riders) in dynamic marketplace conditions through experimentation, modeling, causal inference, and optimization.

We are looking for a passionate, talented, and resourceful Applied Scientist in the field of LLM, Artificial Intelligence (AI), Natural Language Processing (NLP) and/or Information Retrieval, to invent and build scalable solutions for a state-of-the-art context-aware conversational AI. A successful candidate will have strong machine learning background and a desire to push the envelope in one or more of the above areas.

Lendbuzz, a fintech startup founded in 2015 by MIT alumni, is leveraging cutting-edge machine learning to revolutionize vehicle financing and redefine access to credit for deserving borrowers.

An advanced degree (MS or PhD) in computer science, artificial intelligence, applied mathematics, statistics, machine learning or related field. Proven track record of building modern Machine Learning, Deep Learning and Natural Language Processing based solutions.

Build machine learning models through all phases of development, from design through training, evaluation, validation, and implementation. At least 3 years’ experience with machine learning.

As a Senior Machine Learning Engineer, you will collaborate closely with hardware engineers, data scientists, product managers, and notably, core developers of Electronic Design Automation (EDA) tools.

We are looking for an experienced Machine Learning Engineer with a specialization in Computer Vision to become part of our dynamic team. As we continue to grow, we are seeking a results-oriented Machine Learning Engineer to contribute significantly to our Unstructured platform.

Much of our work contributes to innovative research in the fields of sensor science, signal processing, data fusion, artificial intelligence (AI), machine learning (ML), and augmented reality (AR.

The Technology organization works to influence WMG’s strategy and optimize day-to-day operations through data, insights, workflow, and machine learning, including generative AI. This position sits within the Technology organization, working closely with colleagues across WMG’s recorded music and songwriting/publishing businesses.

Qualifications: Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field Hands-on experience in machine learning, natural language processing, and AI technologies Strong programming skills in Python and familiarity with ML libraries (Ex. TensorFlow, Pytorch) Experience with developing and deploying large language models either cloud or on-premise.

Advanced degree in Machine Learning, Computer Science, Electrical Engineering, Physics, Statistics, Applied Math or other quantitative fields from a reputed university (Ph. D. a plus) Very strong algorithm and programming skills in building out data collection/processing infrastructure, Machine Learning model training, and serving platforms.