Machine Learning Engineering Intern
2 weeks ago
Lamini enables every enterprise to safely, quickly, and cost-effectively build their own Expert AI. Our customers own their own models, trained on their data. Lamini optimizes for Expert AI workloads with minimal hallucination, enterprise-grade security, and enterprise flexibility, running on any infrastructure. Our team is made up of highly committed engineers, researchers, and tech industry veterans excited by mission and technology. We’re backed by leading VCs as well as computing and technology companies. We're looking for a passionate ML Engineering intern to help us push the boundaries of what's possible with large language models (LLM). You'll work closely with our ML team. This is an “intern-to-full-time” position with possible conversion into full-time employment. Key responsibilities include: Develop Natural Language Processing techniques like retrieval-augmentation, factual corrections, and model calibration to improve model accuracy and reduce hallucinations. Build tools and evaluation frameworks to objectively measure model performance, quality and risk. Areas like bias detection, toxicity analysis etc. Contribute to our model training pipeline by researching and implementing novel optimization techniques like self-supervised learning and multi-task training. Stay on top of the latest advances in representation learning and propose new architectural variants to maximize our models' usefulness while maintaining safety. Publish code, papers and tutorials to disseminate your work and help fellow researchers. Requirements: Background in ML/NLP with strong Python skills Deep learning experience with frameworks like TensorFlow/PyTorch Passion for AI safety, ethics and oversight Research mindset to continuously push boundaries Ability to clearly communicate technical work Enrolled in a relevant Master's/PhD program This is a 2-4+ month full-time paid internship. Please apply with a resume, projects, publications, and cover letter. At Lamini AI, we are committed to providing an environment of mutual respect where equal employment opportunities are available to all applicants without regard to race, color, religion, sex, pregnancy (including childbirth, lactation and related medical conditions), national origin, age, physical and mental disability, marital status, sexual orientation, gender identity, gender expression, genetic information (including characteristics and testing), military and veteran status, and any other characteristic protected by applicable law. Lamini AI believes that diversity and inclusion among our employees is critical to our success as a company, and we seek to recruit, develop and retain the most talented people from a diverse candidate pool. Selection for employment is decided on the basis of qualifications, merit, and business need. #J-18808-Ljbffr
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Menlo Park, United States META Full timeSoftware Engineer, Machine Learning Apply to this job Location pin icon Menlo Park, CA Apply to this job Meta Platforms, Inc. (Meta), formerly known as Facebook Inc., builds technologies that help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps and services like Messenger,...
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Software Engineer, Machine Learning
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Menlo Park, California, United States Meta Inc Full timeCompany Overview">Meta Inc is at the forefront of machine learning innovation, community engagement and open-source development. Our team combines cutting-edge ML engineering with community-driven initiatives to advance the field of artificial intelligence.">Job Summary">We are seeking an experienced Machine Learning Engineer to support the TorchAudio...
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Machine Learning
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Schiller Park, United States Views Full timeLOCATION: REMOTE UNITED STATES DEPARTMENT: ENGINEERING WORK STATUS: FULL-TIME Overview Are you looking for a hybrid or remote work opportunity? Are you interested in a workplace that allows for flexibility in your day? Are you ready for a workplace that provides benefits that suit your needs? About AI at our company In the past two years, billions of...
