Job Number: 25-04814 Use your skills where innovative technology solutions begin. ECLARO is looking for a Machine Learning Engineers for our client in Los Altos, CA. ECLARO’s client is a leading technology solutions provider, collaborating with customers to manage their needs and achieve success in their business goals. If you’re up to the challenge, then take a chance at this rewarding opportunity! Required 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. • 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. Pay Rate: $70.00-$75.00/Hour If hired, you will enjoy the following ECLARO Benefits: • 401k Retirement Savings Plan administered by Merrill Lynch • Commuter Check Pretax Commuter Benefits • Eligibility to purchase Medical, Dental & Vision Insurance through ECLARO If interested, you may contact: Tim Cusick Tim.cusick@eclaro.com 646-755-9317 Tim Cusick | LinkedIn Equal Opportunity Employer: ECLARO values diversity and does not discriminate based on Race, Color, Religion, Sex, Sexual Orientation, National Origin, Age, Genetic Information, Disability, Protected Veteran Status, or any other legally protected group status, in compliance with all applicable laws.