Lead Software Engineer, Earth Ranger at The Allen Institute for AI

Seattle, Washington, United States

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$242,640 – $363,960Compensation

Expert & Leadership (9+ years)Experience Level

Full TimeJob Type

UnknownVisa

Artificial Intelligence, Wildlife ConservationIndustries

Requirements

Established track record of delivering complex software solutions to delight customers
Bachelor's degree and/or Master's degree in Computer Science, or equivalent experience
A minimum of 12 years of software development experience
(Preferred) Experienced coder in Python with over 4 years experience developing applications and services in that language (Version 3.10 and above)
(Preferred) Proven track record of architecting and delivering scalable SaaS solutions built with Django, utilizing data stores such as PostgreSQL, MySQL, Redis, and Elasticsearch

Responsibilities

Architect scalable solutions including design documents and lead the implementation of that system by their team, including the management and processing of near real-time data streaming from remote sensors
Act as a technical innovator and thought leader, demonstrating and inspiring continuous learning, experimentation, and data and metrics-driven decision making
Architect and enforce best practices for unit testing and CI/CD to support scalable, reliable delivery of web, service, database, and mobile platforms
Apply broad architectural expertise spanning multiple technology domains, from designing web service interfaces to engineering scalable backend systems and the integration layers that connect them
Anticipate obstacles and performance risks early, formulating and implementing strategies to mitigate issues and maintain delivery momentum
Be delivery focused, with a strong willingness to perform all tasks required to complete the job and meet deadlines

Skills

Backend Architecture

IoT Data Processing

Scalable Systems

Real-time Data

Data Storage

Data Retrieval

The Allen Institute for AI

Advances AI through research and engineering

About The Allen Institute for AI

The Allen Institute for Artificial Intelligence (AI2) focuses on advancing artificial intelligence through research and engineering. It develops technologies that improve machine reasoning, common sense for AI, and language modeling. AI2 works on various projects, such as AllenNLP for natural language processing and EarthRanger for environmental monitoring. Unlike for-profit companies, AI2 operates as a non-profit, relying on grants and donations to fund its initiatives. This allows them to provide their research and tools to the public for free, promoting collaboration in the AI field. The goal of AI2 is to tackle significant scientific and engineering challenges to benefit society.

Seattle, WashingtonHeadquarters

2014Year Founded

N/ACompany Stage

AI & Machine LearningIndustries

201-500Employees

Benefits

Medical

401(k)

Visa Sponsorship

Time off

Catered meals & free snacks

Training & development

Tuition reimbursement

Remote & hybrid work options

Risks

Competition from OpenAI's QwQ-32B model may reduce AI2's market influence.

AI2's reliance on grants poses financial risks during economic downturns.

Open-source models may face intellectual property risks and misuse.

Differentiation

AI2 focuses on open-source models, promoting transparency and collaboration in AI development.

AI2's projects like AllenNLP and Semantic Scholar address diverse scientific and societal challenges.

AI2 operates as a non-profit, relying on grants and donations for funding.

Upsides

AI2's open-source models attract researchers, enhancing collaboration and innovation.

Tülu3 and OLMo-2 models position AI2 as leaders in open-source AI.

AI2's multimodal models meet the demand for integrated data processing in various fields.

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