Senior Nlp Research Engineer Jobs

Experience in the use of AI for NLP and text analysis and in use cases downstream of NLP LLMs.

Hands-on AI/ML modeling experience of complex datasets combined with strong understanding of theoretical foundations of AI/ML.

Experience developing deployable code and deploying models in product-focused development under an agile environment.

Excellent written and verbal communication, business analysis, data visualization and data storytelling skills.

Use AI and ML methods for text and report generation for clinical and regulatory applications.

Work with developers, engineers, and MLOps to deliver AI/ML solutions to product teams.

Strong programming skills in Python, with experience in deep learning frameworks such as TensorFlow, PyTorch, or Keras.

2-4 + years of experience in machine learning research and development, with a focus on multi-modal, generative AI, and LLM applications.

Solid understanding of statistical modeling and analysis techniques, and experience with data visualization tools.

Strong communication and collaboration skills, with the ability to work effectively with cross-functional teams.

Knowledge of specific applications such as drug discovery, knowledge synthesis will be a plus.

Collaborate with cross-functional teams, including software developers, data scientists, and product managers, to develop and deploy machine learning models and applications.

Knowledge and hands-on experience in Question Answering, Open/closed-domain Dialogue Systems, Machine Translation, Information Retrieval, Text Classification

1+ years of industry experience with PhD; OR 3+ years of industry experience with Master’s

Experience working with deep NLP models and tuning their performance

Working knowledge of Docker and Git

Deep knowledge of modern C++ with emphasis on code generation and low level compute optimizations

Experience with production environments and distributed frameworks: K8S, MLflow, Hadoop, Spark, etc.)

Create and develop NLP systems by using the requirements set out for the project.

Excellent communication skills and the ability to liaise with others

Analyze, study, and transform data science prototypes as required.

Design Natural Programming Language applications.

Review and choose the best and most appropriate annotated datasets for the best-supervised learning methods.

Use well-formed and effective text representation to change and adapt natural language into user-friendly features.

3+ years' experience with data processing & machine learning (Software engineer)

Intermediate level experience with Python *must be able to write efficient code

Master's education within a quantitative discipline

Experience with Python using the most common data science libraries, such as numpy, pandas, keras, tensorflow, pytorch, spacy, nltk, etc.

Experience with NLP, including NER and fuzzy matching

Excellent writing skills with a demonstrated ability to properly document projects (for example through README.md)

Demonstrated hands-on experience with deep learning / NLP framework such as Pytorch, Tensorflow, AllenNLP, HuggingFace transformers library, etc.

Skilled in at least one programming language.

Research on fundamental theories of natural language processing and machine learning to build innovative applications.

Create training datasets and/or evaluation datasets for target applications or benchmark suites.

Build competitiveness of products by filing patents for intellectual properties.

Build demo application or proof of concepts with collaboration of engineers and product teams.

Coordinate with R&D Program Manager and other team members in establishing a world class research facility for specialized testing

10 years of relevant industrial or research experience

Minimum 5 years of Experience in advanced materials characterization, including scanning electron microscopy, transmission electron microscopy, and electron backscatter diffraction

Minimum 3 years of experience in mechanical testing, including tensile, fracture toughness, and fatigue testing

Minimum 3 years of experience with metallurgical modelling and/or related software (e.g., Thermo-Calc, JMatPro, etc.)

Strong English communication, presentation skills and the ability to work in a cross-functional team environment are required

Collaborate with cross-functional teams, including data scientists, software engineers, and product managers, to understand business requirements and develop NLP solutions.

Strong knowledge and hands-on experience in training and fine-tuning LLMs, particularly models like GPT-3, Bloom, and BERT.

A Ph.D. is a plus. years of industry experience in NLP engineering, with a focus on LLMs.

5+ years of industry experience

Excellent problem-solving skills and ability to work in a fast-paced, collaborative environment.

Strong communication skills and the ability to effectively convey complex technical concepts to both technical and non-technical stakeholders.

Looking for founding research engineer who is interested in hyper realistic deepfake

You will be responsible for AI model distillation and optimize the model to the hardware.

Basic mathematical foundation to understand academic papers in ML landscape. Be familiar with GAN and diffusion architecture.

Minimum of 3 years of experience in software development, with a strong focus on machine learning and natural language processing.

Proven hands-on experience in developing, deploying, and maintaining ML/NLP models and pipelines.

Experience with LLMs is a plus.

Experience with model optimization is a plus.

Strong problem-solving, communication, and collaboration skills.

Design, prototype, and validate ML/NLP models to solve challenging cutting-edge problems, using state-of-the-art techniques (including LLM and ChatGPT!) and best practices.

5+ years of NLP experience notably in the design and development of multilingual scalable NLP models.

3+ years of research experience in NLP and related domains.

Strong Python skills, including at least one modern machine learning framework such as: PyTorch, Tensorflow, Keras.

Work in a rapidly growing business with the ability to influence the key value proposition of the product

Gather and leverage proprietary datasets to create novel problem formulations and novel solutions

Contribute to Behavox research and development tools/repos and maintain good quality of code and reports.