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

Seattle, Washington, United States

The Allen Institute for AI Logo
$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

Key technologies and capabilities for this role

Backend ArchitectureIoT Data ProcessingScalable SystemsReal-time DataData StorageData Retrieval

Questions & Answers

Common questions about this position

What is the salary range for the Lead Software Engineer position?

The base salary range is $242,640 - $363,960, with generous bonus plans to provide a competitive compensation package.

Is this role fully remote or does it require office presence?

Persons in these roles are expected to spend part of their time on-site in Seattle offices and may occasionally work remotely from home in the Greater Seattle area, with on-site requirements varying by position and team.

What key skills are required for this Backend Software Architect role?

The role requires extensive experience in processing, storing, and retrieving large volumes of IoT data, designing scalable systems for real-time data streams from diverse sources, architecting scalable solutions with design documents, and expertise in unit testing and CI/CD best practices.

What is the company culture like at the Allen Institute for AI?

The culture emphasizes technical innovation, thought leadership, continuous learning, experimentation, and data-driven decision making, while contributing to impactful conservation work through the EarthRanger project.

What makes a strong candidate for this Lead Software Engineer role?

A strong candidate has extensive experience architecting scalable backend systems for IoT and real-time data, can lead team implementation with design documents, and serves as a technical innovator promoting best practices in testing and CI/CD.

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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