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Agtonomy
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 agricultur
Job Source: AgtonomyMoney 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 DRSCharacter.ai
Menlo Park, CA, United States
About us Character's mission is to empower everyone with AGI. Our vision is to enable people with our technology so that they can use Character.AI any moment of any day. Character.AI is one of the world's leading personal AI platforms. Founded in 2021 by AI pioneers Noam Shazeer and Daniel De Freitas, Character.AI is a full-stack AI company with
Job Source: Character.aiMoloco, 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.Diverse Lynx
Sunnyvale, CA, United States
Hello, I ve a position of Client Frameworks Engineer . Location: Sunnyvale, CA Job Description: Data Science with AI and Client Work Keywords: Client, NLP, Python Study and transform data science prototypes Design machine learning systems Research and implement appropriate Client algorithms and tools Develop machine learning applications a
Job Source: Diverse LynxApple Inc.
Cupertino, CA, United States
Machine Learning Infrastructure Engineer Software and Services To view your favorites, sign in with your Apple ID. Our team is on a mission to bring the latest machine learning techniques to the field of software development. We want to make it easier for our developers to write, build, and test their code. We firmly believe that providing better
Job Source: Apple Inc.Karkidi
Cupertino, CA, United States
Our team designs and builds innovative and intelligent tools for our developers. You will be able to bring your experience in building and scaling backend systems to our unique problem domains. Your efforts will directly improve the machine learning workflow of both our team as well as a number of partner teams, whose scientists leverage our evalua
Job Source: KarkidiFiddler AI
Palo Alto, CA, United States
Our Purpose At Fiddler, we understand the implications of AI and the impact that it has on human lives. Our company was born with the mission of building trust into AI. With the rise of the internet, trust in AI has been degraded by a plethora of issues like spam, fraudulent transactions, hate speech, and online abuse. Fiddler enables organizations
Job Source: Fiddler AIRedwood 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 we did much of this research. Given the high costs of training, this presents a huge market opportunity. We founded DatologyAI to translate this research into tools that enable enterprise customers to identify the right data on which to train, resulting in better models for cheaper.
Our team has pioneered deep learning data research, built startups, and created tools for enterprise ML.
Following our $11.65M Seed round last September, we've raised a $46M Series A led by Felicis Ventures. Our investors include Radical Ventures, Amplify Partners, Microsoft, Amazon, and notable angels like Jeff Dean, Geoff Hinton, Yann LeCun and Elad Gil.
With over $57.5M in total funding, we're rapidly scaling our team and compute resources to revolutionize data curation across modalities. Join us in pushing the boundaries of what's possible in AI!
Learn more about the company here.
This role is based in Redwood City, CA. We are in person 5 days per week and offer relocation assistance to new employees. We provide visa sponsorship for candidates selected for this role.
About the Role
We're looking for seasoned ML Infrastructure engineers with experience designing, building, and maintaining training infrastructure for our in-house ML research and validation efforts and the core infrastructure for running the curation pipeline that we deliver to our customers. As one of our early senior hires, you will partner closely with our founders on the direction of our product and drive business-critical technical decisions.
You will contribute to developing core infrastructure components that impact our ability to deliver, scale, and deploy our product. These are key components of our stack that allow us to process customer data and apply state-of-the-art research to identify the most informative data points in large-scale datasets. You will have a broad impact on the technology, product, and our company's culture.
As an ML Infrastructure Engineer at DatologyAI, you will be responsible for:
Architect, build and maintain the infrastructure that ensures highly available GPU workloads for training-purposes
Troubleshoot and resolve issues across GPU resources, networking, OS, drivers, and cloud environments, automate detection and recovery of such issues
Design, build, and maintain the infrastructure that powers our data curation product.
Partner with researchers and engineers to bring new features and research capabilities to our customers
Ensure that our infrastructure and systems are reliable, secure, and worthy of our customers' trust.
About You
There are a few specific things we'll be looking for that will help you succeed in this role:
Have meaningful experience with leading and building production ML infrastructure and platforms that deliver on major product initiatives.
Proficiency in Python and in the most commonly used tools in the infrastructure space: Linux, Kubernetes, Terraform / Pulumi, etc
Strong knowledge of hardening cloud native and especially K8s workloads.
Experience maintaining a high-quality bar for design, correctness, and testing.
Have a humble attitude, an eagerness to help your colleagues, and a desire to do whatever it takes to make the team succeed
Own problems end-to-end and are willing to pick up whatever knowledge you're missing to get the job done.
We would love it if candidates have:
Experience running data-processing workloads in k8s (e.g spark on k8s)
Compensation and Benefits
At DatologyAI, we are dedicated to ensuring pay fairness and maintaining highly competitive market rates. We also offer a comprehensive benefits package to support our employees' well-being and professional growth:
Comprehensive health, dental, and vision insurance for you and your dependents.
401(k) plan with a generous 4% company match.
Unlimited paid time off (PTO) policy - we encourage employees to take a minimum of 2 weeks per year to rest and recharge.
Annual $2,000 wellness stipend to support your physical and mental well-being.
Annual $1,000 learning and development stipend to foster continuous growth and skill acquisition.
Daily lunches and snacks are provided in our office!
Relocation assistance for employees moving to the Bay Area to help ease the transition
We believe in investing in our employees and providing them with the resources they need to thrive both personally and professionally.
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Email Alert for Software Engineer, Machine Learning Infrastructure jobs in Redwood City, CA, United States
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