Full-Time
Machine Learning Engineer
Confirmed live in the last 24 hours
Provides AI solutions for content understanding and generation
AI & Machine Learning
Compensation Overview
$120,000 - $180,000Annually
+ Stock Options
Junior, Mid
San Francisco, CA, 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
- Successfully trained and deployed a deep learning machine model into production with measurably improved performance over baseline
- Strong experience with high-level machine learning frameworks such as Tensorflow, Caffe, or Torch, and familiarity with others
- In-depth knowledge of Python, especially as it applies to the above ML frameworks
- Capable of quickly coding and prototyping data pipelines involving Python, Node, bash, and Linux command-line tools
- Working knowledge of 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 the results in the wild to continuously update and improve accuracy and speed
- Interface closely with the Backend and DevOps teams as well as with internal data labeling services
- Utilize OWASP top 10 techniques to secure code from vulnerabilities
- Maintain awareness of industry best practices for data maintenance handling
- 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 AI provides a cloud-based AI platform with pre-trained models using deep learning and generative AI technologies for content understanding, search, and generation. Their proprietary AI models serve billions of API requests monthly, offering best-in-class solutions for content moderation, brand protection, and context-based ad targeting.
Company Stage
Series D
Total Funding
$175.7M
Headquarters
San Francisco, California
Founded
2013
Growth & Insights
Headcount
6 month growth
↑ 12%1 year growth
↑ 48%2 year growth
↑ 74%Benefits
Competitive Pay
Equity
Comprehensive Insurance
Catered Meals
Corporate Gym Membership