A company is looking for a Senior Machine Learning Engineer. ...
For data Science/Machine learning. ...
Knowledge of at least 2 of the following: deep learning, Bayesian reasoning, learning from semi-structured data, reinforcement or active learning, large language models. Deliver state of art methodologies and capabilities to the design and optimization of therapeutics by applying and developing the ...
Have a distinguished history of contributing to the field through publications in leading machine learning conferences and journals, such as ICLR, NeurIPS, ACL, ICML, CVPR, and Nature Machine Intelligence. The SES AI Prometheus team (AI Research) is seeking exceptional Machine Learning Scientists to...
This role demands a strong foundation in machine learning/deep learning and sequence/structure-based protein design. Strong background and demonstrated experience in machine learning/deep learning, modeling, simulation, and design, particularly in sequence and structure-based antibody design. We are...
Bachelor's degree in Engineering or equivalent practical experience.Experience in PCBA (Printed Circuit Board Assembly) and related system assembly.Experience in design for manufacturability and serviceability.Master's degree or PhD in Electrical, Mechanical, Industrial, Materials, or a related engi...
The Machine Learning Engineer will work closely with data scientists, product managers and backend engineers to gather requirements, understand performance characteristics, and identify usage patterns to deliver solutions that bring our model-driven products to market faster while also being robust ...
The Director of ML Ops Engineer at Fidelity Labs is a pivotal role for the continued success and growth of the Catchlight startup.Catchlight is a new software solution that helps financial advisors prioritize and optimize their leads and prospects.Catchlight launched in January 2022 and is now avail...
Software & Machine Learning Engineer, Alexa Analytics. We are seeking an experienced and curious machine learning engineer to join our predictive CX metrics organization. B parameter), scale machine learning models while optimizing. We are a cross-functional org comprised of product managers, data e...
Peke Labs Corp Machine Learning Engineer Remote·Full time Apply for Machine Learning Engineer. Machine Learning Software Engineer. Machine Learning Software Engineer. As an ML Software Engineer, you’ll be responsible for designing and implementing advanced machine learning algorithms to process comp...
Get AI-powered advice on this job and more exclusive features.Direct message the job poster from Akkodis.As a Senior Manager, AI/ML Infrastructure.AI/ML infrastructure, supporting both GenAI and traditional AI/ML technologies and applications.This includes AI model productionalization (end-to-end AI...
Lead, Machine Learning Engineering & AI Research. ...
Strong background in Deep Learning, Machine Learning, and NLP. As a Machine Learning Engineer working on Remark’s core platform, you will be responsible for planning, implementing, and testing features that change the way consumers buy online! Do you love solving complex AI problems, developing stra...
We use that dataset to help companies, big and small, supercharge the work of their Machine Learning and Marketing teams in privacy protective ways. Understanding enough about machine learning to be dangerous but not necessarily published in field. ...
MLOps, ML engineering, or DevOps roles supporting ML systems.Proficiency in Python and familiarity with ML frameworks like TensorFlow, PyTorch, or Scikit-learn.Hands-on experience with orchestration tools (e.Experience with cloud computing platforms (AWS, GCP, or Azure).Strong understanding of CI/CD...
We use that dataset to help companies, big and small, supercharge the work of their Machine Learning and Marketing teams in privacy protective ways. Understanding enough about machine learning to be dangerous but not necessarily published in field. ...
As a core member of the Machine Learning Platform team, the Machine Learning Operations Engineer will be responsible for enhancing and maintaining CarGurus’ cloud-hosted ML platform. You will partner closely with data scientists to deploy machine learning models to production and to build and mainta...
Machine Learning Research Engineer. Machine Learning Specialty, Solutions Architect). We are dedicated to building diverse and inclusive teams and look forward to learning more about your unique background. ...
Principal Machine Learning Scientist (Large Language Models). Principal level Machine Learning Scientist specializing in Large Language Models, to join our client's innovative team in Cambridge, Massachusetts. Strong publications in deep learning and LLMs. ...
Machine Learning using a wide range of techniques (such as supervised/weakly supervised learning, computer vision, deep learning,. Wayfair’s Machine Learning team builds the algorithmic systems that drive our business, enhance customer experience, & improve customer loyalty. This ML team develop...
Design, provision and maintain the cloud infrastructure needed to support Data Engineering, Data Science, Machine Learning Engineers, and Machine Learning Operations. As an Associate Machine Learning Engineer on the National Grid Data Science team, you will develop data pipelines, take data science ...
Risk Model Validation Associate GenAI & Machine Learning. Work Experience: 5 years developing or validating quantitative machine learning (ML) models or Large Language Models (LLMs) frameworks. AI/ML Expertise: Demonstrated experience with Artificial Intelligence and Machine Learning (AI/ML) framew...
The Adobe Document Cloud's AI & Innovation Team is looking for an experienced Machine Learning Engineer to help with a variety of Evaluations relatedto LLMs. As a Machine Learning Engineer, you will get to democratize (generative) AI for alland empower a team of accomplished scientists and engineers...
Hands-on experience with deep learning and/or machine learning methods (e. LLM Customization & Fine-Tuning: Adapt LLMs for new languages, domains, and vision applications through continued pre-training, fine-tuning, and Reinforcement Learning with Human Feedback (RLHF). Ongoing events and learning e...
Knowledge of at least 2 of the following: deep learning, Bayesian reasoning, learning from semi-structured data, reinforcement or active learning, large language models. Deliver state of art methodologies and capabilities to the design and optimization of therapeutics by applying and developing the ...