Full-Time

Machine Learning Engineer

Updated on 5/22/2024

Hive

Hive

51-200 employees

Project management platform with AI analytics

AI & Machine Learning

Junior

Seattle, WA, USA

Required Skills
Bash
Python
Tensorflow
Apache Spark
SQL
Docker
Scala
Development Operations (DevOps)
Linux/Unix
Cassandra
Requirements
  • Undergraduate or graduate degree in computer science or similar technical field with significant coursework in mathematics or statistics
  • 1-2 years industry machine learning experience
  • Experience training and deploying a deep learning machine model into production
  • Strong experience with high-level machine learning frameworks such as Tensorflow, Caffe, or Torch
  • Proficiency in Python and coding data pipelines involving Python, Node, bash, and Linux command-line tools
  • Working knowledge of technologies like C++, Scala/Spark, SQL, Cassandra, Docker
  • Up-to-date on the latest deep neural net research and architectures
  • Great communication skills and ability to work with others
  • Strong team player with a do-whatever-it-takes attitude
Responsibilities
  • Designing and coding up the neural network
  • Gathering and refining data
  • Training and tuning the model
  • Deploying the model at scale with high throughput and uptime
  • Analyzing results to continuously update and improve accuracy and speed
  • Interface with Backend and DevOps teams and internal data labeling services
  • Utilize OWASP top 10 techniques to secure code
  • Maintain awareness of industry best practices for data maintenance handling
  • Adhere to information security policies and report violations/breaches

At Hive, employees enjoy a collaborative environment where project management is elevated through advanced features like AI analytics and diverse integrations. With its focus on improving productivity and resource allocation across various organizational tasks, this company stands as a leader in optimizing project workflows. Working here not only involves engaging with cutting-edge technology but also contributing to a platform that significantly enhances user efficiency and project transparency.

Company Stage

Series B

Total Funding

$27.4M

Headquarters

New York, New York

Founded

2016

Growth & Insights
Headcount

6 month growth

0%

1 year growth

10%

2 year growth

16%

Benefits

Medical, Dental and Vision Insurance Coverage

401(K) with Company Matching

Unlimited PTO and Sick Days

Virtual Team Lunches

Commuter Benefits

Remote Fitness Program

Start-up Equity

Annual Hive-Honey Stipend