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Senior Software Engineer

1 month ago

Mountain View, California, United States Applied Intuition Full time

About Applied Intuition

Applied Intuition is a leading provider of AI-powered software solutions for the automotive industry. We accelerate the adoption of safe and intelligent machines worldwide by delivering a comprehensive toolchain, vehicle platform, and autonomy stack to our customers.

Our team is passionate about building innovative solutions that help our customers shorten time to market, build high-quality systems, and create next-generation consumer experiences. We serve the automotive, trucking, construction, mining, agriculture, and defense industries and are headquartered in Mountain View, CA, with offices in Ann Arbor and Detroit, MI, Washington, D.C., Stuttgart, Munich, Stockholm, Seoul, and Tokyo.

We are looking for a talented Machine Learning Infrastructure Engineer to join our Data & ML infra group. This role will work across the entire ML lifecycle (dataset generation, training frameworks, compute, evaluation, and deployment) and work directly with modeling teams.

The ideal candidate will have experience with building software components to address production, full-stack machine learning challenges. This is not purely a research problem. They will also have opinions about building a company-wide platform for ML training, evaluation, and deployment, and knowledge of the open source landscape with judgment on when to choose open source versus build in-house.

Responsibilities

  • Design and implement distributed cloud GPU training approaches for deep learning model training and evaluation
  • Build end-to-end machine learning pipelines and integrate them into core product workflows
  • Encourage change, especially in support of ML engineering best practices, and maintain a high standard of excellence
  • Collaborate with engineers across the entire company to solve complex data problems at scale

Requirements

  • Experience with building software components to address production, full-stack machine learning challenges
  • Opinions about building a company-wide platform for ML training, evaluation, and deployment
  • Knowledge of the open source landscape with judgment on when to choose open source versus build in-house
  • Excellent analytical and problem-solving skills

Nice to have

  • Experience with developing, running, and managing orchestration systems like Airflow and Flyte that non engineers can use to build data pipelines
  • Experience with ML modeling frameworks (PyTorch, Tensorflow, etc.), and model serving platforms (TorchServe, TensorFlow Serving, NVIDIA Triton inference server, etc.)

Compensation

At Applied Intuition, we offer a competitive compensation package that includes base salary, equity, and benefits. Our base salary range for this position is $153,000 - $222,000 USD annually. We also offer comprehensive health, dental, vision, life and disability insurance coverage, 401k retirement benefits with employer match, learning and wellness stipends, and paid time off.

Please note that benefits are subject to change and may vary based on jurisdiction of employment.

We are an equal opportunity employer and federal contractor or subcontractor. We prohibit discrimination against qualified individuals based on their status as protected veterans or individuals with disabilities, and prohibit discrimination against all individuals based on their race, color, religion, sex, sexual orientation, gender identity or national origin.