Senior Machine Learning Infrastructure Engineer

4 days ago

Mountain View, California, United States Gatik Full time
About Gatik

Gatik is a leader in autonomous middle mile logistics, delivering goods safely and efficiently using its fleet of light & medium-duty trucks. We focus on short-haul, B2B logistics for Fortune 500 customers, enabling them to optimize their hub-and-spoke supply chain operations, enhance service levels, and reduce labor costs.

Job Summary

We're seeking a high-energy, creative, and collaborative Senior Machine Learning Infrastructure Engineer to join our fast-paced, execution-oriented team. As a key member of our team, you will play a crucial role in accelerating the development and deployment of our AV software stack.

Key Responsibilities
  • Own development of ML models end-to-end from data strategy, initial development, optimization, production platform validation, and fine-tuning based on metrics and on-road performance.
  • Lead efficient neural network development, including quantization, pruning, sparsification, compression, and novel differentiable compute primitives.
  • Build the foundation models for on-vehicle and offline applications, develop metrics, and tools to analyze errors and understand improvements in our systems.
  • Train and evaluate DNNs for benchmarking neural network optimization algorithms, optimizing for latency and power consumption.
  • Design and implement a horizontally scalable, high-throughput cloud inference pipeline for evaluation and KPI calculation.
  • Streamline workflows to allow creation of verified, deployable artifacts from annotated data.
  • Support data preparation for training, building a horizontally scalable data preparation pipeline that is simple to use and doesn't delay training.
  • Support development of tools for introspection and visualization to understand what is going well and what can be improved in our work.
Requirements
  • Bachelor's Degree in Computer Science, Machine Learning, or a relevant field.
  • Master's Degree with a focus on Machine Learning, Statistics, Optimization, or a related field (preferred) or relevant work experience.
  • 7+ years of experience working with large ML projects and/or building production ML systems.
  • Excellent C++, Python, and/or CUDA programming skills.
  • Familiarity with modern machine learning environments such as PyTorch.
  • Expert experience with optimization techniques from high-level ML algorithms to low-level HW utilization.
  • Experience in software architecture, system performance, latency, and data flow.
  • Expert experience in machine learning workflows: data sampling and curation, pre-processing, model training, ablation studies, evaluation, deployment, inference optimization.
  • Strong analytical skills, especially for performance troubleshooting (e.g., profiling, roofline model).
  • Industry experience in building large-scale ML pipelines.
  • Experience with cloud ML training pipelines in Azure (preferred).
  • High Performance Computing experience (preferred).
About Us

Gatik is establishing new standards of success for the autonomous trucking industry every day. We are a diverse and inclusive environment where everyone feels they have opportunities to succeed and grow. We are committed to creating a more resilient supply chain and contributing to our environment's sustainability.

We do not discriminate based on race, color, ethnicity, ancestry, national origin, religion, sex, gender, gender identity, gender expression, sexual orientation, age, disability, veteran status, genetic information, marital status, or any legally protected status.

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