-performance computing (HPC), machine learning systems, or computer architecture. Strong programming skills in C++ Preferred...
, advertising, and fulfillment. Machine learning is central to how we build intelligent shopping experiences at Instacart. We use... machine learning and Internet-scale data to elevate customer experience, improve efficiency, and reduce cost. A few examples...
following areas: NLP/LLM (Agents/Tuning), Graph Neural Networks (GNN), Sequence Modeling, or Machine Learning - 1+ years... (MMoE/PLE): Develop advanced multi-task learning models to balance conflicting objectives-maximizing Ecosystem Prosperity...
. - Responsible for exploring reinforcement learning and operational research algorithms in intelligent dispatching and intelligent... mining for problem-solving purposes. - Participate in the construction of a large-scale graph storage and graph learning...
that empower efficient machine learning at scale. This is a hybrid opportunity in San Francisco, Sunnyvale or Seattle and the... for the centralized machine learning platform that powers all of DoorDash's business. Improve the reliability, scalability...
to achieving our goals. Responsibilities: Leads machine learning projects, providing technical guidance and mentorship to junior... and mid-level engineers. Design, develop, and implement data-driven solutions, leveraging machine learning techniques...
entire network of Eurofins companies. Job Description We are seeking a Machine Learning (ML) Expert with experience... in chemical data processing to drive AI innovations in analytical chemistry. You will design and deploy Machine Learning solutions...
you to work Hybrid at 125 Summer Street in downtown Boston. Key Responsibilities: Applied Machine Learning: Implement... or Machine Learning projects. The "Python Stack": proficiency with Python and standard libraries (Pandas, NumPy, Scikit-learn...
: - Build highly scalable machine learning systems and state-of-the-art machine learning models to improve ads ranking quality... features to improve model accuracy. - Understand ads platform objectives and take full advantage of modern machine learning...
entire network of Eurofins companies. Job Description We are seeking a Machine Learning (ML) Expert with experience... in chemical data processing to drive AI innovations in analytical chemistry. You will design and deploy Machine Learning solutions...
Intelligence (PI) team to leverage unique data to build and deploy impactful machine learning solutions. Focus on applying advanced... Models including designing, building, and productionizing machine learning models to solve complex problems in areas like ad...
, which is roughly 1% of the world's GDP. The tremendous amount of data makes Stripe one of the best places to do machine learning. The... Frameworks Experience training and shipping machine learning models to production to solve critical business problems...
come from everywhere in the organization, and we know the next big idea could be yours. The Opportunity Adobe is looking for a Machine Learning... intern who will apply AI and machine learning techniques to big-data problems to help Adobe better understand, lead...
for the development of state-of-the-art applied machine learning projects. - Own key targeting components or strategies... technical discipline. - Experience in and good theoretical grounding in machine learning concepts and techniques. - Excellent...
. This role is open to graduates in applied machine learning, familiar with one or more of the algorithms such as Collaborative... in recommendation system, search engine, online advertising, information retrieval, natural language processing, machine learning, large...
. This role is open to graduates in applied machine learning, familiar with one or more of the algorithms such as Collaborative... in recommendation system, search engine, online advertising, information retrieval, natural language processing, machine learning, large...
and techniques. 5. Familiar with architecture and implementation of at least one mainstream machine learning programming framework... knowledge in one of the following fields: Factorization Machine, Uplift Modeling, Diffusion Models, Reinforcement Learning. 2...
. This role is open to graduates in applied machine learning, familiar with one or more of the algorithms such as Collaborative... in recommendation system, search engine, online advertising, information retrieval, natural language processing, machine learning, large...
Machine Learning Engineers to help us build the foundations of an AI first dating experience using the latest advancements... research and development of models powering Hinge and experiment with the latest innovations in the field of Machine Learning...
for machine learning Edge and Datacenter use cases. The development target is Qualcomm's next generation high-performance...