Machine Learning Engineering Intern
Palo Alto
Lamini
Lamini makes it easy for every enterprise and developer to build customized, private LLM models with superior fine-tuning and generative AI technologies. As the leader in generative AI, Lamini enables faster and higher-performing fine-tuned...
Lamini AI is at the forefront of bringing LLMs to production. We are on a mission to help every company unlock the power of generative AI by putting its own data to work. Our team is made up of highly committed engineers, researchers, and tech industry veterans. 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.
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.
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.
- You'll be working at the forefront of ML, with top engineers. Expect to learn cutting-edge techniques and apply them to real-world problems at an ambitious startup.
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
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.
Tags: Deep Learning Engineering Generative AI LLMs Machine Learning Model training NLP PhD Python PyTorch Research TensorFlow Testing
Perks/benefits: Startup environment
Region:
North America
Country:
United States
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Categories:
Engineering Jobs
Machine Learning Jobs
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