Software Engineer II, Semantic Scholar

Key Skills

Python Programming, Scala Programming, C++, Java Programming, Machine learning techniques, Data science techniques, SQL, Apache Hadoop, MapReduce, TensorFlow, PyTorch, R Programming

Job Description

Who You Are:

You are a hands-on, developer that thrives in a fast-paced environment, is self-directed, a team player, knows how to get things done while still delivering flexible and maintainable code, and is not afraid to take on big challenges and dabble with both UI and algorithmic code. If you have a passion for driving quality, improving customer experience and designing maintainable and robust systems, we'd love to talk to you!

Your Next Challenge:

Semantic Scholar’s online engineering team is looking for an experienced engineer to help us build tools and features to help with our marketing efforts of Semantic Scholar. With the tools and user facing features you build, Semantic Scholar will help more researchers to do better, faster research. The emphasis is on the front end experience and search services, but you will also have the opportunity to develop and deploy machine learning models, and work with research scientists to create new research tools.

World class communication, engineering, and leadership skills are essential in this role. As a technical leader, you will partner in scaling a consumer product, identifying and alleviating engineering bottlenecks, driving feature development on key initiatives, and establishing best practices. You should be comfortable working closely in a team, building technical buy-in, and balancing effective design reviews with quick delivery.

• Engage in the entire software development lifecycle; from ideation and design to implementation and testing to deployment and operational support.
• Scale our systems in a cost effective and sustainable manner and be a driving force behind continuous improvements in reliability and automation.
• Generate impact and team velocity through efforts in but not limited to: software design and feature development, platform and framework development (e.g. machine learning experimentation capabilities), capacity planning, and deployment tooling and infrastructure.
• Help set and maintain best practices in how we measure, monitor, and respond to system availability, latency, and general application health.
• Mentor less-senior engineers on the team in both technical and non-technical skills.

What You’ll Need:

Minimum qualifications:

• Interest and enthusiasm to learn and develop tools and features to help promote and manage 
• BS degree in Computer Science or related technical field where software development is a key component, or equivalent industry experience.
• 1-2 years of experience building high quality software and services
• Experience in algorithm design, data structures, complexity and risk analysis, and software architecture.
• Experience in one or more of the following (or similar) languages:
• Javascript, Typescript, Python, Java, Scala

Preferred qualifications:

• Experience designing, scaling and troubleshooting large-scale distributed systems.
• Experience creating and developing front-end web applications, and working with design to make wireframes and mock-ups real, interactive features.
• Experience creating, evaluating, scaling and operating production machine learning models.
• Experience with AWS (or similar) cloud development.
• Heightened sense of ownership for the performance and stability of services that provide value to millions of users.
• Ability to think systematically about improving the process of developing and supporting software and the skills to translate these concerns into outcomes for our users and team.
• Growth mindset: a desire to stretch the definition of the role and find additional ways to provide impact in a small team.

Who We Are:

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