Ai Engineer, Vp - Natural Language Processing (New York, Ny)
By Goldman Sachs At New York, NY, United States
Excellent communication and collaboration skills, as well as the ability to work independently and manage multiple projects simultaneously.
3+ years of Python and/or Java programming experience.
1+ year of experience in building platforms using document extraction using Apache Nutch, JSoup etc.
Working experience with deep learning frameworks such as TensorFlow and PyTorch.
Knowledge of natural language understanding, question answering, summarization, sentiment analysis, and other NLP tasks.
Developing and implementing techniques for improving search and retrieval algorithm using language models.
Natural Language Processing Research Assistant Ii
By Boston Childrens Hospital At , Boston, 02115
Apply basic statistical knowledge; understand, interpret, and describe complex data by preparing graphs and tables.
Experience in NLP feature engineering and modeling (e.g., text classification, entity recognition, entity extraction, question answering)
Experience with SoTA modeling techniques (such as transformers, BERT, etc)
Experience taking an NLP project from concept to production
Excellent critical thinking skills are required.
Participate in the preparation, review, and submission of manuscripts and abstracts for publication.
Natural Language Processing (Nlp) Data Scientist.
By My Working Soul At United States
7+ years of experience presenting data insights & recommendations to key stakeholders in a corporate setting
Experience integrating machine learning applications to production, with big data concepts and deep learning frameworks.
Ability to obtain or existing secret clearance with the US government.
Natural Gas Engineer - 2276.08
By Wade Trim At , Pittsburgh, Pa
Experience with the design and construction of natural gas pipelines
Create estimated time requirements for projects
10 plus years of experience required
Monitor task budget and progress
Work with and mentor junior design team
Prepare computer-generated natural gas pipeline and mechanical working drawings
Research Scientist, Natural Language Processing
By Snap Inc. At Los Angeles, CA, United States
Strong technical knowledge of statistics, machine learning, natural language processing and state-of-the-art deep learning literature
Proven experience with natural language processing, including textual data processing, training and evaluating masked and causal LLMs, and dialogue models
Strong computer science fundamentals, problem solving skills, programming (Python, C, C++)
PhD in a related technical field such as computer science, statistics, mathematics, machine learning or equivalent years of experience
Experience with large scale language models, multimodal personalization methods
Experience with large-scale data collection and annotation best practices
Natural Language Processing / Nlp Engineer - Conversational Banking --- 100 % Remote
By Zillion Technologies, Inc. At United States
• Assist management with integrating usability studies, user research, and market analysis to into product requirements
• Advanced analytical and research skills along with experience working with data in a highly analytic environment
• Working knowledge of analytics, user experience design and business impact
THIS IS A DIRECT BANKING CLIENT REQUIREMENT !
• Experience building and maintaining NLP models
• Experience with: Large language models, NLP/Data science, Machine learning; Azure Bots; AI Chatbot Training
Software Developer - Data Analytics And Natural Language Processing
By PropData Technologies At United States
Solid programming skills in Python, with experience in libraries such as pandas, NumPy, and scikit-learn
Collaborate with cross-functional teams to gather requirements and design data analysis solutions
Strong knowledge of data processing techniques, statistical analysis, and machine learning algorithms
Experience with natural language processing techniques and frameworks (e.g., spaCy, NLTK, Transformers)
Excellent problem-solving and analytical thinking abilities
Strong communication and collaboration skills, with the ability to work effectively in a team environment
Processing Engineer Jobs
By Kane Partners LLC At Pasadena, TX, United States
· Conduct installation qualification of manufacturing equipment, operation qualification, and process qualification.
· Investigate and evaluate new technologies, equipment, and raw materials.
· Lead design of mechanical components and assemblies from concept to production
Pgim Quantitative Solutions - Senior Associate, Natural Language Processing (Hybrid / Newark, Nj)
By PGIM At Newark, NJ, United States
About PGIM – Global Asset Management
Strong knowledge of machine learning and natural language processing methods
Experience in applying these techniques to large datasets
Working experience with at least one NLP toolkit such as SpaCy, BERT or Gensim.
Hands on experience with Python and large databases
1-3 year of work experience, experience in the financial industry preferred
Senior Polymer Processing Engineer
By Berkner Group At Menlo Park, CA, United States
Prepare and complete characterization of new materials (primarily thermoplastics) using various equipment and testing capabilities
Experience operating and interpreting polymer characterization techniques (TGA, DSC, DMA, FTIR, etc.)
Excellent written and oral communication skills
Experience contributing to team technical discussions and presenting results in front of other technical audiences, such as customers
Excellent analytical, problem solving, and organizational skills
High self-motivation, initiative, and interpersonal skills
Machine Learning Research Scientist - Natural Language Processing
By Toyota Research Institute At Los Altos, CA, United States
Push the boundaries of knowledge and the state of the art in areas including language and vision for robotics.
Partner with a multidisciplinary team including other research scientists and engineers across the ML team, TRI, Toyota, and our university partners.
Stay up to date on the state-of-the-art in Machine Learning ideas.
Present results in verbal and written communications, internally, at top international venues, and via open-source contributions to the community.
Lead collaborations with our external research partners (e.g., Stanford, Berkeley, MIT) and mentor research interns.
Expertise in at least one key ML area.
Senior Natural Language Processing Researcher
By Leidos At , Remote $142,350 - $295,650 a year
Bachelor's degree in Computer Science, Data Science or related field and 12 years experience.
Great communication skills, able to explain language model results to a non-technical audience
Experience programming machine learning algorithms for GPUs
Working knowledge of Word2Vec, NLTK, BERT, and ChatGPT
Good understanding of machine learning algorithms, tools and platforms
Understanding of transformers and foundation models
Research Scientist (Ph.d.) In Natural Language Processing And Data Science
By University of Massachusetts Lowell At Lowell, MA, United States
Experience in developing and implementing algorithms for text analysis, classification, and information extraction
Excellent programming skills in Python or another relevant language
Performs other job duties as assigned
Excellent communication and collaboration skills
PhD in Computer Science, Data Science, Natural Language Processing, or a related field
Record of publications in top-tier conferences and journals
Software Engineer, Language Jobs
By Meta At , Remote $173,000 - $241,000 a year
Apply relevant AI and machine learning techniques to build intelligent rich language systems that improve Meta's products and experiences
Apply in-depth knowledge of how the machine learning system interacts with the other systems around it
Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience.
Specialized experience in one or more of the following machine learning/deep learning domains: Language: NLP, ASR, TTS, Conversational AI
Experience developing language algorithms or language infrastructure in C/C++ or Python
Experience in deep learning and PyTorch
Machine Learning Scientist Internship - Natural Language Processing
By Coursera At United States
Strong programming skills in Python or a similar language
Knowledge of NLP is required
Research experience in ML and NLP, demonstrated through publications in top-tier conferences such as NeurIPS, ICML, ICLR, EMNLP, ACL
Knowledge of other advanced machine learning techniques
Previous experience in model deployment for a production setting
Prior experience through Machine Learning, Research Science, or Applied Science internships or a full-time job is a plus
Data Science/Natural Language Processing Analyst- Ipsa 9
By United Nations Development Programme (HQ) At , Remote
Min. years of relevant Work experience
Desired additional skills and competencies
Required Language(s) (at working level)
Post-Doctoral Researcher – Natural Language Processing
By Johnson & Johnson At San Francisco County, CA, United States
Ability to continuously learn and acquire new knowledge and skills.
Experience with natural language inference, name entity recognition, or sentiment analysis techniques.
Experience with advanced analytics techniques (e.g., random forest, SVM, boosting, neural networks).
Experience with software development tools (Git) and one of project tracking systems, such as Gitlab, Jira, Confluence, Asana.
Experience with analyzing electronic health records and other types of free text data.
Experience with working closely with healthcare professionals.

Are you passionate about Natural Language Processing? We are looking for a talented engineer to join our team and help us develop cutting-edge NLP solutions. You will have the opportunity to work on a wide range of projects, from developing new algorithms to optimizing existing ones. If you are excited about the potential of NLP and have the skills to make it happen, then this is the job for you!

Overview A Natural Language Processing (NLP) Engineer is responsible for developing and implementing algorithms and models to process and analyze natural language data. They use a variety of techniques and tools to create systems that can understand and interpret natural language, such as text, speech, and images. Detailed Job Description A Natural Language Processing Engineer is responsible for developing and implementing algorithms and models to process and analyze natural language data. They use a variety of techniques and tools to create systems that can understand and interpret natural language, such as text, speech, and images. They work closely with data scientists, software engineers, and other professionals to develop and deploy NLP systems. They also work with product teams to ensure that the systems are meeting customer needs. Job Skills Required
• Knowledge of natural language processing (NLP) techniques and algorithms
• Experience with machine learning and deep learning
• Knowledge of programming languages such as Python, Java, and C++
• Ability to analyze and interpret large datasets
• Knowledge of natural language processing libraries and frameworks
• Ability to work independently and as part of a team
• Excellent problem-solving and communication skills
Job Qualifications
• Bachelor’s degree in computer science, engineering, or a related field
• Experience with natural language processing (NLP) techniques and algorithms
• Experience with machine learning and deep learning
• Knowledge of programming languages such as Python, Java, and C++
• Knowledge of natural language processing libraries and frameworks
Job Knowledge
• Knowledge of natural language processing (NLP) techniques and algorithms
• Knowledge of programming languages such as Python, Java, and C++
• Knowledge of natural language processing libraries and frameworks
• Knowledge of machine learning and deep learning
Job Experience
• Experience with natural language processing (NLP) techniques and algorithms
• Experience with machine learning and deep learning
• Experience with programming languages such as Python, Java, and C++
• Experience with natural language processing libraries and frameworks
Job Responsibilities
• Develop and implement algorithms and models to process and analyze natural language data
• Use a variety of techniques and tools to create systems that can understand and interpret natural language, such as text, speech, and images
• Work closely with data scientists, software engineers, and other professionals to develop and deploy NLP systems
• Work with product teams to ensure that the systems are meeting customer needs
• Analyze and interpret large