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Moloco, Inc.
Redwood City, CA, United States
The Impact You’ll Be Contributing to Moloco: Moloco is a Machine Learning Company. A key part of our value proposition are our Machine Learning (ML) models. These models are built and deployed on infrastructure built by the ML-Infrastructure team. As part of the ML-Infrastructure team, you will get an opportunity to build software that will enable
Job Source: Moloco, Inc.Money Fit by DRS
South San Francisco, CA, United States
About Us Agtonomy is a hybrid autonomy and tele-assist service platform that turns tractors and other equipment into autonomous machines. A robust sensor suite and custom software stack enable remote modes of operation with a higher margin of safety than conventional equipment. Agtonomy, through its OEM partners, will address both local agricu
Job Source: Money Fit by DRSDatologyAI
Redwood City, CA, United States
About the Company Companies want to train their own large models on their own data. The current industry standard is to train on a random sample of your data, which is inefficient at best and actively harmful to model quality at worst. There is compelling research showing that smarter data selection can train better models faster-we know because w
Job Source: DatologyAIUnreal Gigs
San Francisco, CA, United States
Company Overview: Welcome to the forefront of machine learning infrastructure! At our company, we're passionate about pushing the boundaries of artificial intelligence and machine learning. Our mission is to develop robust and scalable infrastructure solutions that empower data scientists and machine learning engineers to build, deploy, and manage
Job Source: Unreal GigsNextdoor
San Francisco, CA, United States
#Team Nextdoor Nextdoor is where you connect to the neighborhoods that matter to you so you can belong. Our purpose is to cultivate a kinder world where everyone has a neighborhood they can rely on. Neighbors around the world turn to Nextdoor daily to receive trusted information, give and get help, get things done, and build real-world connectio
Job Source: NextdoorNextdoor
San Francisco, CA, United States
#Team Nextdoor Nextdoor is where you connect to the neighborhoods that matter to you so you can belong. Our purpose is to cultivate a kinder world where everyone has a neighborhood they can rely on. Neighbors around the world turn to Nextdoor daily to receive trusted information, give and get help, get things done, and build real-world connectio
Job Source: NextdoorUnreal Gigs
San Francisco, CA, United States
Company Overview: Welcome to the forefront of machine learning infrastructure! At our company, we're passionate about pushing the boundaries of artificial intelligence and machine learning. Our mission is to develop robust and scalable infrastructure solutions that empower data scientists and machine learning engineers to build, deploy, and manage
Job Source: Unreal GigsGensyn
San Francisco, CA, United States
The world will be unrecognisable in 5 years. Machine learning models are driving our cars, testing our eyesight, detecting our cancer, giving sight to the blind, giving speech to the mute, and dictating what we consume, enjoy, and think. These AI systems are already an integral part of our lives and will shape our future as a species. Soon, we'll c
Job Source: GensynSouth San Francisco, CA, United States
About Us
Agtonomy is a hybrid autonomy and tele-assist service platform that turns tractors and other equipment into autonomous machines. A robust sensor suite and custom software stack enable remote modes of operation with a higher margin of safety than conventional equipment. Agtonomy, through its OEM partners, will address both local agriculture skilled labor shortages and broader land maintenance operations, including wildfire prevention through land clearing.
About the role
We are looking for a talented ML Infrastructure engineer to join the Autonomy team and help build state-of-the-art model training, evaluation, and deployment pipelines to aid in the development of the perception modules of our self-driving vehicles. You will be responsible for providing solutions to empower machine learning development and optimize offboard training.
What you'll be doing:
Design and implement machine learning tooling and workflows for analysis & augmentation of real-world data
Develop and optimize training pipelines in distributed environments
Establish automated ETL pipelines
Programmatically increase training efficiency of different neural network architectures
Improve the developer experience and performance of our scalable ML platform
Develop application/ML metrics to measure model, perception system, and overall self-driving performance; analyze for performance optimization opportunities
What you'll bring:
BS or above in Computer Science/Engineering and 4+ years of industry experience in designing and implementing deep learning, ML, or data analytics infrastructure
Experience working with production machine learning pipelines, from dataset collection and labeling to training and validation
Knowledge in using common deep learning frameworks, e.g. Tensorflow, Pytorch, CaffeSkilled in C++ (11 or newer) and PythonDemonstrated experience in profiling CPU/GPU code
Experience with developing, running, and managing container orchestration systems like Kubernetes
Ability to thrive in a fast-moving, collaborative, small team environment with little supervision
What makes you a strong fit:
Experience working with data processing pipelines for training in the cloud (AWS, Azure, Google Cloud, etc.)Solid understanding of metrics, data analysis, and scientific evaluation
Strong software engineering skills building well-designed, highly-maintained and high-reliability code used by other engineers
Passion for sustainable energy and electric vehicle development
$160,000 - $220,000 a year
The US base salary range for this full-time position is $160,000 to $220,000 + equity + benefits + unlimited PTO
The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position across all US locations. Within the range, individual pay is determined by work location, internal equity, and additional factors, including, but not limited to, job-related skills, experience, and relevant education or specialty training. Your recruiter can share more about the specific salary range during the hiring process.
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Email Alert for Software Engineer - Machine Learning and Infrastructure jobs in South San Francisco, CA, United States
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