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Machine Learning Engineer, Applied Science and Technology, Environmental AI - Seattle, WA, United States - The Allen Institute for AI
Description
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 areaCompensation Range:
$153,040 - $235,680Machine Learning Engineer, Applied Science and Technology, Environmental AI
You are a machine learning engineer passionate about AI for Earth.
You are comfortable working at any point on the research to production cycle, from training and evaluating novel deep learning models to creating highly performant production services.
We are a newly formed lean and fast moving AI team exclusively dedicated to Environmental AI. We believe that AI can help solve some of the biggest problems the world faces.We highly value the machine learning research, academic, and engineering communities and we believe in fostering meaningful collaborations between them.
We work closely with the many talented research scientists at AI2 (eg.We publish when we can, but we spend the vast majority of our time on engineering and shipping AI products to users.
The models we ship run at global scale in real time and must be performant. We teach and learn from one another constantly and we help each-other grow.We want to get great things done and we want to move quickly, because there is an urgency to the environmental threats that our planet is facing.
If you are not comfortable working with state of the art deep learning (both NLP and CV), this is not a good fit.
By comfortable we mean the ability to read current research and then implement those ideas and improve on them or create new bespoke architectures from scratch.
Ability to read and apply current research in AIDeep understanding of the entire ML software development life cycle and how to advance itStrong collaboration and teamwork skillsWhat You'll Need:Minimum of a Bachelor's degree in CS, EE/Applied Mathematics/Statistics/ML/NLP, or relevant engineering experienceExperience with statistics and time series analysisExpertise in PythonFamiliarity working with cloud services (GCP, AWS, or Azure)Experience with containerization (Docker)Experience with the complete model development cycle, including data set construction, training, tuning, evaluation, performance profiling and optimization, and monitoring.
Published papers in ML/AI (NLP or CV)Open source contributionsEvidence of work on environmental causeHighly proactive and self-motivatedExperience with LLM assisted engineeringExperience with satellite imagery and/or AIS/GPS DataPhysical Demands and Work Environment: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.
In addition to AI2's core mission, we also aim to contribute to humanity through our treatment of each member of the AI2 Team.
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 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.
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.#
Machine Learning Engineer, Applied Science and Technology, Environmental AI professionals in Seattle
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Xin Liu
Applied scientist in Computer Vision/Deep Learning