Full-Time

Machine Learning Engineer

Confirmed live in the last 24 hours

Hive

Hive

501-1,000 employees

Provides AI models and APIs for search

Consumer Software
AI & Machine Learning

Compensation Overview

$120k - $180kAnnually

+ Stock Options

Junior, Mid

San Francisco, CA, USA

Category
Applied Machine Learning
Deep Learning
AI & Machine Learning
Required Skills
Bash
Python
Tensorflow
Apache Spark
SQL
Docker
Scala
C/C++
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 label and classify content with high accuracy and generate images and text from prompts, making them valuable for industries like sports and marketing. Hive differentiates itself with its commitment to information security, holding ISO 27001:2022 and SOC Type 2 certifications. The company's goal is to empower businesses by providing intelligent AI solutions that improve their operational efficiency.

Company Stage

Series D

Total Funding

$138.3M

Headquarters

San Francisco, California

Founded

2013

Growth & Insights
Headcount

6 month growth

13%

1 year growth

25%

2 year growth

44%
Simplify Jobs

Simplify's Take

What believers are saying

  • Hive's AI solutions are crucial in combating misinformation and deepfake content.
  • The company's collaboration with TrueMedia enhances its AI detection capabilities.
  • Hive's $2B valuation and $120M funding indicate strong investor confidence.

What critics are saying

  • Increased competition from OpenAI's GPT-4 may impact Hive's market share.
  • TrueMedia's partnerships could lead to conflicts in the AI content verification space.
  • The declining cost of creating deceptive media intensifies competition for Hive.

What makes Hive unique

  • Hive offers a comprehensive suite of pre-trained AI models for diverse applications.
  • The company provides a no-code Moderation Dashboard for custom AI moderation workflows.
  • Hive's technology supports platform integrity, brand protection, and context-based ad targeting.

Help us improve and share your feedback! Did you find this helpful?

Benefits

Competitive Pay

Equity

Comprehensive Insurance

Catered Meals

Corporate Gym Membership