Machine Learning Engineers jobs in United States
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ECLARO ยท 2 days ago

Machine Learning Engineers

ECLARO is a leading technology solutions provider, and they are seeking a Machine Learning Engineer for their client in Los Altos, CA. The role involves utilizing innovative technology solutions to manage customer needs and achieve business goals.

Staffing & Recruiting
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H1B Sponsor Likelynote

Qualification

Machine Learning EngineeringPyTorchPythonDistributed TrainingModel OptimizationCloud TrainingData PipelinesModel ServingDataset ManagementBazelAmazon EC2Amazon S3SageMakerSoft Skills

Required

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

Benefits

401k Retirement Savings Plan administered by Merrill Lynch
Commuter Check Pretax Commuter Benefits
Eligibility to purchase Medical, Dental & Vision Insurance through ECLARO

Company

ECLARO

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ECLARO is an award-winning professional services firm headquartered in New York City and operating in the U.S., Canada and the Philippines.

H1B Sponsorship

ECLARO has a track record of offering H1B sponsorships. Please note that this does not guarantee sponsorship for this specific role. Below presents additional info for your reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (1)
2024 (1)
2023 (1)
2022 (2)
2020 (1)

Funding

Current Stage
Late Stage

Leadership Team

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Nicholas Butcher
QA CTO Label Specialist
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Dan Broderick
Chief Delivery Officer
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Company data provided by crunchbase