Intapp
Machine Learning and NLP Engineer Intern
Intapp, Palo Alto, California, United States, 94306
Machine Learning & Natural Language Processing (Data Science) Engineer Intern
Location: Palo Alto, CA
The successful candidate will work with world-class data scientists and ML engineers on expanding the AI capabilities of Intapp products. If you have a passion for machine learning, experience with natural language processing and a demonstrated history of delivering results, then we are very interested in talking to you.
What you’ll do:
The main objective of the ML/NLP Internship at Intapp is to use different learning paradigms and architectures to build predictive models for different types of problems, including text categorization, natural language understanding and generation, data clustering and time series analysis, among others. The work will be applied to one (or more, if permitted by time) of the following problems of interest:
Prediction of type of work component (phase, task and activity) from time entries and narrativesIdentification and discovery of categories (topic modeling) from unlabeled text data collectionsPrediction of narrative templates (and full generation of narratives) from timecard history of mattersDocument segmentation and categorization of terms in Outside Counsel GuidelinesEnrichment of current data representations by generating new features and rich metadataAutomatic collection and generation of ML/NLP resources for the Professional Services industryPrediction of system failures from cloud component activity logsThe scope of the work includes defining a research question and work plan, setting up the experimental environment, preprocessing and preparing the data, training different variants of predictive algorithms, using evaluation metrics to assess the performance of the models, and preparing a final report.
What you’ll get:
Contribute to the research, design and construction of cutting-edge ML/NLP systems, applying emerging AI technologies to specific problems in the Professional Services industry.Conduct project activities related to exploratory analysis and experimentation. Document, report and analyze results. Propose new ideas and related experimental work based on result analysis.Work closely with our team of data scientists and ML engineers, attend technical meetings and contribute to the discussions.The experience of being part of a growing public enterprise software companyWhat you’ll need:
Enrolled and working towards obtaining a BS, MS, or Ph.D in Computer Science, Artificial Intelligence, Machine Learning, Data Science, Statistics or a related technical field.Knowledge in machine learning and natural language processing, as well as computer science fundamentals (data structures, algorithms, big-O notation, concurrency, etc.)Strong background in probability and statistics: statistical measures, distributions, hypothesis testing, regressions, etc.Proficient in using Python (numpy, scipy, pandas, scikit-learn, spacy, pytorch, etc.) to implement machine learning models and algorithms.Experience working with both relational SQL and NoSQL data stores.Familiarity with the most commonly used Machine Learning algorithms and techniques (KNN, SVM, CRF, MLP, CNN, RNN, LSTM, etc.).Familiarity with commonly used Natural Language Processing pipelines and techniques (POS tagging, Parsing, NER, NLU, TFIDF weighting, word embeddings, etc.)Strong written and verbal communication skills; ability to explain technical concepts to a non-technical audience.Bonus if you have:
Public Cloud AWS and/or Azure experienceSome low-level programming experience (C, C++, Java, Go, etc.)Experience with big data & emerging technologies (Spark, Elasticsearch, Kafka, etc.)What to Expect :
Our Summer 2024 Internship Program begins June 3rd, 2024 and is projected to end between August 16th and 23rd, depending on your university schedule.Your professional growth and development will be supported throughout the internship program via project work related to your academic and professional interests, mentorship, and engaging events with other interns and company leadership.Our internship is hybrid and interns will be expected in the office at least 3 days a week to get the full experience of the Intapp culture and networking opportunities, however, we will evaluate as Summer 2024 approaches.Intapp provides equal employment opportunities to all qualified applicants and will make hiring decisions without regard to race, color, sex, sexual orientation, gender identity or expression, religion, national origin or ancestry, age, disability, marital status, pregnancy, protected veteran status, protected genetic information, political affiliation, or any other characteristic protected by federal, state or local laws. All offers are contingent upon passing a criminal history and other background checks if applicable to the position.#J-18808-Ljbffr
Location: Palo Alto, CA
The successful candidate will work with world-class data scientists and ML engineers on expanding the AI capabilities of Intapp products. If you have a passion for machine learning, experience with natural language processing and a demonstrated history of delivering results, then we are very interested in talking to you.
What you’ll do:
The main objective of the ML/NLP Internship at Intapp is to use different learning paradigms and architectures to build predictive models for different types of problems, including text categorization, natural language understanding and generation, data clustering and time series analysis, among others. The work will be applied to one (or more, if permitted by time) of the following problems of interest:
Prediction of type of work component (phase, task and activity) from time entries and narrativesIdentification and discovery of categories (topic modeling) from unlabeled text data collectionsPrediction of narrative templates (and full generation of narratives) from timecard history of mattersDocument segmentation and categorization of terms in Outside Counsel GuidelinesEnrichment of current data representations by generating new features and rich metadataAutomatic collection and generation of ML/NLP resources for the Professional Services industryPrediction of system failures from cloud component activity logsThe scope of the work includes defining a research question and work plan, setting up the experimental environment, preprocessing and preparing the data, training different variants of predictive algorithms, using evaluation metrics to assess the performance of the models, and preparing a final report.
What you’ll get:
Contribute to the research, design and construction of cutting-edge ML/NLP systems, applying emerging AI technologies to specific problems in the Professional Services industry.Conduct project activities related to exploratory analysis and experimentation. Document, report and analyze results. Propose new ideas and related experimental work based on result analysis.Work closely with our team of data scientists and ML engineers, attend technical meetings and contribute to the discussions.The experience of being part of a growing public enterprise software companyWhat you’ll need:
Enrolled and working towards obtaining a BS, MS, or Ph.D in Computer Science, Artificial Intelligence, Machine Learning, Data Science, Statistics or a related technical field.Knowledge in machine learning and natural language processing, as well as computer science fundamentals (data structures, algorithms, big-O notation, concurrency, etc.)Strong background in probability and statistics: statistical measures, distributions, hypothesis testing, regressions, etc.Proficient in using Python (numpy, scipy, pandas, scikit-learn, spacy, pytorch, etc.) to implement machine learning models and algorithms.Experience working with both relational SQL and NoSQL data stores.Familiarity with the most commonly used Machine Learning algorithms and techniques (KNN, SVM, CRF, MLP, CNN, RNN, LSTM, etc.).Familiarity with commonly used Natural Language Processing pipelines and techniques (POS tagging, Parsing, NER, NLU, TFIDF weighting, word embeddings, etc.)Strong written and verbal communication skills; ability to explain technical concepts to a non-technical audience.Bonus if you have:
Public Cloud AWS and/or Azure experienceSome low-level programming experience (C, C++, Java, Go, etc.)Experience with big data & emerging technologies (Spark, Elasticsearch, Kafka, etc.)What to Expect :
Our Summer 2024 Internship Program begins June 3rd, 2024 and is projected to end between August 16th and 23rd, depending on your university schedule.Your professional growth and development will be supported throughout the internship program via project work related to your academic and professional interests, mentorship, and engaging events with other interns and company leadership.Our internship is hybrid and interns will be expected in the office at least 3 days a week to get the full experience of the Intapp culture and networking opportunities, however, we will evaluate as Summer 2024 approaches.Intapp provides equal employment opportunities to all qualified applicants and will make hiring decisions without regard to race, color, sex, sexual orientation, gender identity or expression, religion, national origin or ancestry, age, disability, marital status, pregnancy, protected veteran status, protected genetic information, political affiliation, or any other characteristic protected by federal, state or local laws. All offers are contingent upon passing a criminal history and other background checks if applicable to the position.#J-18808-Ljbffr