Machine Learning Engineer

San Francisco, CA, United States • $130k - $200k

Academia.edu


Role Location

  • San Francisco, CA, United States

Compensation

$130k - $200k

Employees

26 - 50 people

Address

580 California St Ste 400
San Francisco, CA, 94104-1000, US

Tech Stack

  • Ruby on Rails
  • React
  • PostgreSQL
  • Redis
  • Kafka
  • Elastic Search
  • AWS
  • Neo4j
  • EC2
  • Swift
  • Kotlin
  • Mobile apps

About Academia.edu

Academia is building a new distribution and peer review platform. Our mission is to accelerate the world’s research and make every academic publication available for free to anyone, anywhere, in any language, and in any format.

Academia.edu was founded in 2008 in San Francisco by ​Richard Price​ who recognized the need for open access to scholarly work while he was a doctoral candidate in philosophy at Oxford University.

Academia has built a network of Academics around the world who access our platform on the web and via native mobile apps to discover new research, collaborate, recommend and peer review papers, and gather feedback on draft research by participating in real-time collaborative sessions.

Academia’s platform has more than 115 million registered users (growing at over 150,000 per day), has over 70 million unique visitors every month. We have over 200,000 paying premium subscribers, which has contributed to us doubling in revenue for both of the last two years.

Historically, Academic journals have controlled the publishing process. Usually, 2 peer reviewers evaluate the quality of the paper, and either reject it or approve it. It is then published by the journal and is put behind a paywall. It typically costs $50-$100 to get the paper out from the paywall. The process of submitting to publishing usually takes a minimum of 12-months or longer.

Academia’s mission is to disrupt this $10B industry.

We’re located ~3 blocks from Montgomery BART in downtown San Francisco.

We’re a Ruby on Rails shop, with React on the frontend our native mobile apps are built for iOS with Swift and Android using Kotlin. All of our engineers are full-stack, and virtually all of them are computer scientists. We value and recruit computer science generalists, at Academia.

We have over 45 full-time employees and over 26 in engineering.

Academia has raised over $33.8 million from a range of investors, including Tencent, Khosla Ventures, True Ventures, and Spark Ventures.

Academia is a proud equal opportunity employer and we are committed to hiring and supporting a diverse workforce. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.

Company Culture

We run an open, transparent, and collaborative company. If our CEO gives a board presentation then the next day he'll show the same deck to all employees. Cash flow and product plans are openly shown to everyone. We value honesty, wisdom and clear communication.

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