Machine Learning Engineer, AllenNLP - Seattle, WA, United States - The Allen Institute for Artificial Intelligence

Description

Remote hybrid:

Persons in these roles are expected to spend part of their time on-site in our Seattle offices and may occasionally work remotely from their home in the Greater Seattle area.

Machine Learning Engineer, AllenNLP

You are motivated by creating real-world benefits using AI and are excited to help advance our effort to create the best-performing open large language model.

You will be a part of the core team of research engineers behind post-training and aligning the OLMo (Open Language Model) through fine-tuning, instruction-tuning, and RLHF, helping us build infrastructure for the next generation of large language model research.

You will also help with data analysis and experimentation to direct the decisions we make and architectures we develop, both around modeling and data preparation.

And, you are someone with experience working with open-source projects, deep knowledge of Python, and a strong understanding of modern deep learning and natural language processing.

Open Language Model (OLMo) is the AI2 LLM framework designed to provide access to data, training code, models, and evaluation code necessary to advance AI through open research to empower academics and researchers to study the science of language models collectively.

The goal is to share a high quality and open language model that will provide an avenue for people in the AI research community to work directly on language models for the first time.

Following the launch of OLMo (Open Language Model), AI2 is now embarking on furthering research to provide scientific insights and solutions on how to substantially close the gap with the state-of-the-art in adapted models.

Building infrastructure to facilitate the next generation of LLM research.
Optimizing training and inference for language models.
Supporting and collaborating with an open-source community.
Bridging the gap between cutting-edge research and a widely adopted product.
Using software engineering best practices in a research environment.

Releasing your contributions back to the broader community in the form of open source software, model releases, and additions to AI2's public API and Open Research Corpus.

Knowledge of modern deep learning and natural language processing techniques.
Strong software engineering skills, particularly around building performant systems and debugging.
Experience with the complete model development cycle, including data set construction, training, tuning, evaluation, performance profiling, and monitoring.
Experience with Python and PyTorch, or Jax.
Familiarity working with cloud compute resources (e.g. Advanced degree in Data Science/CS/EE/Applied Mathematics/Statistics/ML/NLP or related fields.
Contributions to open-source ML or research libraries (e.g. BS or MS in Computer Science, Statistics, Engineering, Applied Mathematics, or a related quantitative field.

Reasonable accommodations may be made to enable individuals with disabilities to perform the functions.

The Allen Institute for Artificial Intelligence is a non-profit research institute in Seattle founded by Paul Allen. The core mission of AI2 is to contribute to humanity through high-impact research in artificial intelligence.

Similarly, through weekly AI2 Academy lectures, a wide variety of world-class AI experts as guest speakers, and our commitment to your personal on-going education, AI2 is a place where you will have opportunities to continue learning alongside your coworkers.

We value diversity - We seek to hire, support, and promote people from all genders, ethnicities, and all levels of experience regardless of age.

We particularly encourage applications from women, non-binary individuals, people of color, members of the LGBTQA+ community, and people with disabilities of any kind.

We value inclusion - We understand the value that people's individual experiences and perspectives can bring to an organization, and we are building a culture in which all voices are heard, respected and considered.

While we value powerful research results which drive our mission forward, we also value dinner with family, weekend time, and vacation time.

We are in Seattle - and our office is on the water We have mountains, we have lakes, we have four seasons, we bike to work, we have a vibrant theater scene, and we have so much else.

We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics.

We are committed to providing reasonable accommodations to employees and applicants with disabilities to the full extent required by the Americans with Disabilities Act (ADA).

Team members and their families are covered by medical, dental, vision, basic life insurance, basic accidental death and dismemberment insurance, short-term disability, long-term disability, and an employee assistance program.

Team members are able to enroll in our voluntary life insurance program, our voluntary accidental death and dismemberment program, our health savings account plan, our healthcare reimbursement arrangement plan, and our health care and dependent care flexible spending account plans.

Team members will also receive up to ten sick days per year, up to seven personal days per year, up to 20 vacation days per year and twelve paid holidays throughout the calendar year.

All duties and responsibilities are essential functions and requirements and are subject to possible modification to reasonably accommodate individuals with disabilities.

Some requirements may exclude individuals who pose a direct threat or significant risk to the health or safety of themselves or others.

The requirements listed in this document are the minimum levels of knowledge, skills, or abilities. This document does not create an employment contract, implied or otherwise, other than an at will relationship.
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