NLP Engineer

Key Skills

Algorithms, Large Language Models - LLMs, Machine learning techniques, Natural Language Processing (NLP), Python Programming, PyTorch, TensorFlow

Job Description

Chubb is the world’s largest publicly traded P&C insurance company and a leading commercial lines insurer in the U.S. With operations in 54 countries and territories, Chubb provides commercial and personal property and casualty insurance, personal accident and supplemental health insurance, reinsurance, and life insurance to a diverse group of clients. As an underwriting company, we assess, assume, and manage risk with insight and discipline. We service and pay our claims fairly and promptly. We combine the precision of craftsmanship with decades of experience to conceive, craft and deliver the very best insurance coverage and service to individuals and families, and businesses.

Chubb is also defined by its extensive product and service offerings, broad distribution capabilities, direct-to-consumer platform partnerships, exceptional financial strength, and local operations globally. The company serves multinational corporations, mid-size and small businesses with property and casualty insurance and risk engineering services; affluent and high net worth individuals with substantial assets to protect; individuals purchasing life, personal accident, supplemental health, homeowners, automobile and specialty personal insurance coverage; companies and affinity groups providing or offering accident and health insurance programs and life insurance to their employees or members; and insurers managing exposures with reinsurance coverage.

Qualifications

Major Responsibilities

• Work closely with team of data scientists to design, build, and test machine learning models to solve complex business challenges

• Researching & implementing state of the art modeling techniques including pre-training, fine-tuning, unsupervised methods, embeddings, representations, and clustering

• Define individual tasks for the development team and track progress on a regular basis.

• Ensure high quality code that meets business objectives, quality standards and secure web development guidelines.

• Building reusable tools to streamline the modeling pipeline and sharing knowledge

• Manage project stakeholder expectations and issue communications on progress.

• React to shifting priorities without compromising deadlines and momentum.

Minimum Requirements

Must have:

• 3+ years’ experience in Machine Learning (ML), with deep expertise in writing, and reviewing production code in Python.

• Developing and implementing novel machine learning algorithms particularly in the area of Large Language Models.

• Experience with AI frameworks (PyTorch, TensorFlow)

• Knowledge of optimization and acceleration frameworks such as Deepspeed, Mosaic, Horovod, Colossal-ai

• Building prototypes to enable development of high-performance AI algorithms
  Staying current on published SoTA algorithms and competing technologies.

Nice to have:

• Experience defining system architectures and exploring technical feasibility tradeoffs is a huge plus

• Experience with Knowledge Graphs is a huge plus

• Experience in P&C insurance is a plus.

In Jersey City, NJ the pay range for the role is $87,000 to $149,500. The specific offer will depend on an applicant’s skills and other factors. This role may also be eligible to participate in a discretionary annual incentive program. Chubb offers a comprehensive benefits package, more details on which can be found athttps://careers.chubb.com/global/en/north-america. This range is specific to Jersey City, NJ and may not be applicable to other locations.