Entry Machine Learning Engineer
A company is looking for an Entry ML Engineer (Remote Work Option).Key ResponsibilitiesDevelop advanced analytics systems and scalable machine learning solutionsAnalyze and prepare data for model creation, tracking model performance and accuracyCollaborate with cross-disciplinary teams to build APIs and software libraries for model adoptionRequired Qualifications and EducationBachelor's degree or equivalent education, training, and experience in ML or Software EngineeringOne year of relevant experience preferredUnderstanding of the machine learning lifecycle and MLOpsExperience with programming languages such as Python and SQLFamiliarity with ETL, ML, or analytics technologies and data science platforms
Senior Machine Learning Engineer
Center 3 (19075), United States of America, McLean, VirginiaSenior Machine Learning EngineerAs a Capital One Machine Learning Engineer (MLE), you'll be part of an Agile team dedicated to productionizing machine learning applications and systems at scale. You’ll focus on machine learning architectura...
Sr Machine Learning Engineer (Remote/Virtual)
Machine Learning Engineer plays a crucial role in bridging the gap between the development and deployment of machine learning models while ensuring a smooth and efficient transition of functional AI models from the lab to real-world production environments. ML Engineer is also expected to mentor jun...
Distinguished Machine Learning Engineer - Capital One
New York City (Hybrid On-Site): $274,800 - $313,600 for Distinguished Machine Learning EngineerCandidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be refl...
Staff Machine Learning Engineer
Learning - Participates in learning activities around modern software design, machine learning, and development core practices (communities of practice); Proactively views articles, tutorials, and videos to learn about new technologies and best practices being used within other technology organizati...
Senior Machine Learning Engineer (Python, Spark/Dask, MLOPS) - Capital One
West 19th Street (22008), United States of America, New York, New YorkSenior Machine Learning Engineer (Python, Spark/Dask, MLOPS)As a Capital One Machine Learning Engineer (MLE), you'll be part of an Agileteam dedicated to productionizing machine learning applications and systems at scale. You’ll f...
Senior Product Software Engineer - Machine Learning / AI / Deep Learning
AI technologies: NLP, Deep Learning, Machine Learning. Keep up with latest technology development in Generative AI, Machine Learning, NLP and search in general . Graduate degree (MS or PhD) in Computer Science or relevant field with a focus on NLP or Machine Learning. Collaborate effectively with pr...
Principal Machine Learning Engineer (Remote/Virtual)
The Principal ML Engineer plays a crucial role in bridging the gap between the development and deployment of machine learning models while ensuring an efficient transition of functional AI models from the lab to real-world production environments. As Principal ML Engineer, you will be expected to wo...
Staff Software Engineer - Machine Learning (MLOps)
The Data Science and Machine Learning guild is thriving to enable us to deploy Machine Learning algorithms with data from many different sources including our own platform, and user behavioral data, we learn our users’ journey and build a personalized experience that is unique to each user. Help est...
Machine Learning Engineer, Trilogy (Remote) - $100,000/year USD
AI tools, ability to automate workflows and custom GPTs); if you've only used LLMs for research, learning, brainstorming, or content generation, that will be deemed insufficient. ...
Staff Machine Learning Engineer
Angi is seeking an exceptional Staff Machine Learning Engineer who can enable our transformation into a world-class online marketplace. Collaboration with Cross-Functional Teams: Work closely with a strong team of engineers, data scientists, product managers, and designers to build scalable and high...