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Full-Time

Machine Learning Engineer

Confirmed live in the last 24 hours

Hive

Hive

201-500 employees

AI models and APIs for search

AI & Machine Learning
Enterprise Software

Compensation Overview

$120k - $180kAnnually

+ Stock Options

Junior

San Francisco, CA, USA

Category
Applied Machine Learning
Deep Learning
AI & Machine Learning
Required Skills
Bash
Python
Tensorflow
Apache Spark
SQL
Docker
Scala
Natural Language Processing (NLP)
Development Operations (DevOps)
Linux/Unix
Cassandra
Requirements
  • 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
Responsibilities
  • 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

Hive offers advanced artificial intelligence models through APIs that enhance search capabilities, such as visual similarity and text-to-image search. Their deep learning models can accurately classify content and generate images and text, making them valuable for industries like sports and marketing. Hive differentiates itself with high standards of information security, holding ISO 27001:2022 and SOC Type 2 certifications, and serving a wide range of clients from digital platforms to large corporations. The company's goal is to empower businesses with AI solutions that improve their operational efficiency and decision-making.

Company Stage

Series D

Total Funding

$175.7M

Headquarters

San Francisco, California

Founded

2013

Growth & Insights
Headcount

6 month growth

4%

1 year growth

13%

2 year growth

31%
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Simplify's Take

What believers are saying

  • TheHive.ai's collaboration with major companies and organizations, such as TrueMedia, enhances its credibility and market reach.
  • The recent $85 million Series D funding round positions TheHive.ai for significant growth and innovation in AI-driven automation.
  • The launch of new services like the Moderation Dashboard and Intelligent Search demonstrates TheHive.ai's continuous innovation and ability to meet market demands.

What critics are saying

  • The competitive AI landscape, with giants like OpenAI and Google, poses a threat to TheHive.ai's market share.
  • Rapid technological advancements require constant innovation, which can strain resources and lead to potential burnout.

What makes Hive unique

  • TheHive.ai specializes in advanced AI models for visual similarity and text-to-image search, setting it apart from general AI providers.
  • Their deep learning models offer human-level accuracy in content labeling and classification, making them highly valuable for industries like sports, media, and marketing.
  • ISO 27001:2022 and SOC Type 2 certifications highlight TheHive.ai's commitment to high standards of information security and system controls, which is a significant differentiator in the AI market.

Benefits

Competitive Pay

Equity

Comprehensive Insurance

Catered Meals

Corporate Gym Membership