Research Engineer
Optimization
Posted on 2/1/2024
Helm.ai

51-200 employees

Developing AI technology for advanced automation
Company Overview
Helm.ai stands out as a leader in the AI technology industry, specializing in automation, which provides a competitive edge in the rapidly evolving tech landscape. The company fosters a culture of experimentation, encouraging employees to build and test their solutions, promoting professional growth and technical mastery. Their industry leadership is evident in their advanced AI solutions, which are not only pushing the boundaries of automation but also setting new standards for competitors.
AI & Machine Learning

Company Stage

Series C

Total Funding

$145M

Founded

2016

Headquarters

West Menlo Park, California

Growth & Insights
Headcount

6 month growth

13%

1 year growth

54%

2 year growth

141%
Locations
Remote in USA
Experience Level
Entry
Junior
Mid
Senior
Expert
Desired Skills
Python
Tensorflow
Data Structures & Algorithms
Pytorch
Computer Vision
CategoriesNew
AI & Machine Learning
Requirements
  • Proficiency in ML model development and optimization techniques
  • Strong understanding of deep learning algorithms, software engineering and GPU-based computing
  • Proven ability to thrive in a fast-paced environment
  • Ability to communicate complex technical concepts to colleagues and a variety of audience
  • Proficiency in Python
Responsibilities
  • Research, prototype and evaluate state of the art model optimization techniques and algorithms
  • Characterize neural network quality and performance based on research, experiment and performance data and profiling
  • Incorporate optimizations and model development best practices into existing ML development lifecycle and workflow
  • Define the technical vision and roadmap for DL model optimizations
  • Write technical reports indicating qualitative and quantitative results to colleagues and customers
  • Develop, deploy and optimize deep learning (DL) models on various GPU and AI accelerator chipsets/platforms
Desired Qualifications
  • Master’s or Ph.D. in a related field and/or 5+ years of experience in a directly related field
  • Experience working with neural networks, Tensorflow and/or PyTorch
  • Computer vision experience