Research Engineer, Optimization at Helmai

We help make autonomous technologies more efficient, safer, and accessible.

Helm.ai builds AI software for autonomous driving and robotics. Our Deep Teaching™ methodology is uniquely data and capital efficient, allowing us to surpass traditional approaches. Our unsupervised learning software can train neural networks without the need for human annotation or simulation and is hardware-agnostic. We work with some of the world's largest automotive manufacturers and we've raised over $100M from Honda, Goodyear Ventures, Mando, and others to help us scale.

Our team is made up of people with a diverse set of experiences in software and academia. We work together towards one common goal: to integrate the software you'll help us build into hundreds of millions of vehicles.

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, 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

Helm.ai is proud to be an equal opportunity employer building a diverse and inclusive workforce. All applicants will be considered for employment without attention to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran or disability status.

Any unsolicited resumes/candidate profiles submitted through our website or to personal email accounts of employees of Helm.ai are considered the property of Helm.ai and are not subject to payment of agency fees.

Research Engineer, Optimization

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