Machine Learning Engineer, Hive
AI content moderation platform
Open for applications
AI content moderation platform
201-500 employees
Open for applications
201-500 employees
Company mission
To use AI to unlock the next wave of intelligent automation.
Role
Who you are
- You have an undergraduate or graduate degree in computer science or similar technical field, with significant coursework in mathematics or statistics
- You have 1-2 years industry machine learning experience
- You have successfully trained and deployed a deep learning machine model (image, NLP, video, or audio) into production, with measurably improved performance over baseline, either in industry or as a personal project
- You have strong experience with a high-level machine learning frameworks such as Tensorflow, Caffe, or Torch, and familiarity with the others
- You know the ins and outs of Python, especially as it applies to the above ML frameworks
- You are capable of quickly coding and prototyping data pipelines involving any combination of Python, Node, bash, and linux command-line tools, especially when applied to large datasets consisting of millions of files
- You have a working knowledge of the following technologies, or are not afraid of picking it up on the fly: C++, Scala/Spark, SQL, Cassandra, Docker
- You are up-to-date on the latest deep neural net research and architectures, both in understanding the theory and motivations behind the techniques, as well as how to implement them in the ML framework of your choice
- You have great communication skills and ability to work with others
- You are a strong team player, with a do-whatever-it-takes attitude
What the job involves
- Everything involved in applying a ML model to a production use case, including, designing and coding up the neural network, gathering and refining data, training and tuning the model, deploying it at scale with high throughput and uptime, and analyzing the results in the wild in order to continuously update and improve accuracy and speed
- Interface closely with the Backend and DevOps teams as well as with our internal data labeling services
- Utilize OWASP top 10 techniques to secure code from vulnerabilities
- Maintain awareness of industry best practices for data maintenance handling as it relates to your role
- Adhere to policies, guidelines and procedures pertaining to the protection of information assets
- Report actual or suspected security and/or policy violations/breaches to an appropriate authority
Otta's take
Theo Margolius
COO of Otta
Hive is an AI-as-a-service platform that empowers companies to make smarter decisions through intelligent automation. It is best known for its AI-powered image recognition system. It analyzes images of brands, products and celebrities that allow companies to understand when, where and how their assets are seen.
The challenge with artificial intelligence is that it takes a lot of human labor to make it all work. Hive has embraced this human element, employing over 2 million contractors to label images, video, text and audio content collected from the web. This annotated data is used to train Hive's content moderation AI. This has given it an edge in a competitive market which includes offerings from AI heavyweights such as Microsoft, Amazon and Google, as well as numerous startups like Sentropy and Spectrum Labs.
Hive has raised a significant amount of funding, closing a Series D round led by Glynn Capital in 2021. Hive is focusing on the continued development of its cloud-based deep learning models and plans to invest in further building its sales and marketing teams to expand its market presence.
Insights
Company
Funding (last 2 of 5 rounds)
Apr 2021
$50m
SERIES D
Jun 2020
$35m
SERIES C
Total funding: $142.2m
Company benefits
- Equity
- Catered meals
- Comprehensive insurance
- Corporate gym membership
Company values
- Product is paramount
- Set the pace
- Solve for scale
- Communicate with candor
- Responsible growth
Articles
Founders
Kevin Guo
(CEO)Studied Computer Science and Math at Stanford. Was a Venture Associate at Mithril Capital Management. Co-founded Kiwi, an AI company, in 2014. Co-founded Hive in 2017.
Dmitriy Karpman
(CTO)Background in Computer Science and Philosophy. Graduated from Stanford and joined Google as a Software Engineering Intern. Co-founded Kiwi. Is a Research Assistant at Stanford.
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