Helm.ai

Research Engineer, Optimization

Helm.ai$100K — $150K *
US-AnywhereRemote in Canada
Enterprise Technology
5 - 7 years of experience
Job Overview by Ladders

Qualifications

  • Proficient in ML model development and optimization techniques for GPU/AI accelerators
  • Strong understanding of deep learning algorithms and GPU computing
  • Experience with neural networks in TensorFlow/PyTorch
  • Ability to thrive in a fast-paced environment
  • Skilled in communicating complex technical concepts
  • Detail-oriented with introspection and thoughtfulness
  • Proficient in Python

Responsibilities

  • Research, prototype, and evaluate model optimization techniques
  • Characterize neural network quality and performance based on data
  • Incorporate optimizations into existing ML development lifecycle
  • Define the technical vision and roadmap for DL model optimizations
  • Write technical reports on results for colleagues and customers
  • Develop, deploy, and optimize deep learning models on various platforms

Benefits

  • Competitive health insurance options
  • 401K plan management
  • Free lunch and fully-stocked kitchen
  • Monthly wellness stipend and office setup allowance
  • Company retreats and growing perks
  • Opportunity to work on impactful problems of the decade
Full Job Description
You will:

You will focus on research and development related to the optimization of ML models on GPU's or AI accelerators. You will use your judgment in complex scenarios and apply optimization techniques to a wide variety of technical problems. Specifically, you will:
  • 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

You have:
  • Proficiency in ML model development and optimization techniques (e.g. numerical optimization, quantization, sparsity, pruning, architecture search and design), particularly on model deployment onto GPU's or AI accelerators
  • Strong understanding of deep learning algorithms, software engineering and GPU-based computing
  • Experience working with neural networks in Tensorflow and/or PyTorch
  • Proven ability to thrive in fast-paced environment
  • Ability to communicate complex technical concepts to colleagues and a variety of audience
  • Introspection, thoughtfulness, and detail-orientation
  • Proficiency in Python

The following are a plus, but not required:
  • Master's or Ph.D. in a related field and/or 5+ years of experience in a directly related field
  • Computer vision experience

We offer:
  • Competitive health insurance options
  • 401K plan management
  • Free lunch and fully-stocked kitchen in our South Bay office
  • Additional perks: monthly wellness stipend, office set up allowance, company retreats, and more to come as we scale
  • The opportunity to work on one of the most interesting, impactful problems of the decade

About Helm.ai

Helm.ai is a technology company that specializes in developing artificial intelligence software for autonomous vehicles. The company was founded in 2016 by a team of experts in machine learning, computer vision, and robotics, and is headquartered in Redwood City, California. Helm.ai's software is designed to enable autonomous vehicles to operate safely and efficiently in a variety of environments, including urban and rural areas, highways, and off-road terrain. The company's technology is based on deep learning algorithms that allow vehicles to perceive and understand their surroundings in real-time, and make decisions based on that information. Helm.ai is committed to advancing the field of autonomous driving and making transportation safer and more accessible for everyone.
Learn more about Helm.ai
Size
50 employees
Industry
Founded
2016

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