As a Machine Learning Engineer at Hive, you will prototype and productionize cutting edge neural network models, build scalable data pipelines, and collaborate with Backend and DevOps teams to deploy models in production.

Job Details

Location: San Francisco, CA (onsite)

Salary: USD 120,000 - 180,000 per year

Responsibilities

Design and implement neural network architectures and related code improvements
Source, curate, and refine training data
Train, tune, and optimize models for performance
Deploy models at scale with high throughput and availability
Evaluate live results to continuously improve accuracy and speed
Collaborate closely with Backend and DevOps teams and our internal data labeling services
Apply OWASP Top 10 security practices to protect code from vulnerabilities
Stay informed about industry best practices for data handling relevant to the role
Follow policies and procedures for safeguarding information assets
Report actual or suspected security or policy violations to the appropriate authority

Requirements

An undergraduate or graduate degree in computer science or a related technical field, with substantial coursework in mathematics or statistics
1 to 2 years of professional machine learning experience
Proven experience training and deploying a deep learning model (image, NLP, video, or audio) into production with measurable performance gains over a baseline
Strong experience with high level ML frameworks such as TensorFlow, Caffe, or Torch, with familiarity across the others
Proficient in Python and its use within the ML frameworks above
Able to rapidly prototype data pipelines using Python, Node, Bash, and Linux command-line tools, especially for large datasets containing millions of files
Working knowledge of C++, Scala/Spark, SQL, Cassandra, and Docker, with willingness to learn new technologies on the fly
Up to date with the latest deep neural net research and architectures, including theory, motivations, and practical implementation
Excellent communication and collaboration skills
Strong team player with a proactive, can-do attitude

Technologies

TensorFlow
Caffe
Torch
Python
Node
Bash
Linux command-line tools
C++
Scala
Spark
SQL
Cassandra
Docker

Benefits

Stock options may be offered

Who We Are

Hive is a forward looking AI startup based in San Francisco, built by a team of ambitious engineers focused on creating a revolutionary platform. The role presents a steep learning curve and the opportunity to contribute to a rapidly growing company with a tangible impact on product development.

Machine Learning Engineer