ServicePoint IT
Software Machine Learning Engineer
ServicePoint IT, Los Altos, California, United States, 94024
ServicePoint Has a Customer Seeking a Software Machine Learning Engineer For a 3+ Month Opportunity Located In Los Altos, CA. There Is a Possibility For Extensions Or Even Hire Down The Road. The Hours Are Standard Business Hours Monday-Friday. This Is 90% Remote, Local Candidates Only. 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).
Qualifications
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.
This job description is only a summary of the typical functions of the job, not an exhaustive or comprehensive list of all possible responsibilities, tasks, and duties. Service Point is an equal opportunity employer that is committed to diversity and inclusion in the workplace. We prohibit discrimination and harassment of any kind based on race, color, sex, religion, sexual orientation, national origin, disability, genetic information, pregnancy, or any other protected characteristic as outlined by federal, state, or local laws. Service Point is committed to providing accommodations to individuals with disabilities. If you require accommodations during the application or interview process, please communicate the specific accommodations needed as soon as possible so they can be provided for you. #J-18808-Ljbffr
Qualifications
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.
This job description is only a summary of the typical functions of the job, not an exhaustive or comprehensive list of all possible responsibilities, tasks, and duties. Service Point is an equal opportunity employer that is committed to diversity and inclusion in the workplace. We prohibit discrimination and harassment of any kind based on race, color, sex, religion, sexual orientation, national origin, disability, genetic information, pregnancy, or any other protected characteristic as outlined by federal, state, or local laws. Service Point is committed to providing accommodations to individuals with disabilities. If you require accommodations during the application or interview process, please communicate the specific accommodations needed as soon as possible so they can be provided for you. #J-18808-Ljbffr