Machine Learning Engineer

Job Title: ML Engineer with Automotive experience
Duration: 3 Months Contract potential to extend longer or hire to FTE (90% Remote)
Locations: Los Altos, CA 94022-1003

Important Note:
Automotive experience is MUST
This role is more of an engineer mindset than a researcher mindset
90% remote, Hybrid Schedule:
Option 1: 4-day workweek (10-hour days) with Fridays off.
Option 2: Standard workweek (4 days remote, at least 1 day onsite).
All consultants are required to receive 10 PTO days per calendar year
Job Description:
4+ years of professional ML engineering experience at an AI/ML-focused organization.
Familiarity with the state-of-the-art in behavior learning, language, and/or computer vision.
Experience training large-scale foundation models (VLMs, text-to-video models, etc) utilizing distributed training and high-performance optimization techniques such as quantization, mixed precision, model parallelism, data parallelism or FSDP.
Extensive practical experience with PyTorch.
Strong proficiency in Python and software development best practices such as unit testing, documentation, code review, continuous integration, and dependency management.
Familiarity with data pipelines, model serving and optimization, cloud training, and dataset management.
An ability to move fast and switch between modes of rapid prototyping and robust implementation as required.
Nice to haves:
Experience deploying models on embodied systems/robots.
Experience working in mixed teams of research scientists and engineers.
Experience Amazon EC2, S3, and/or Sagemaker.
Experience with Bazel.