Senior Natural Language Processing Researcher Jobs

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.

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.

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.

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

• 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

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• Experience building and maintaining NLP models

• Experience with: Large language models, NLP/Data science, Machine learning; Azure Bots; AI Chatbot Training

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

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

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

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.

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