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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: KarkidiApple, Inc.
Cupertino, CA, United States
Summary Posted: Jun 3, 2024 Role Number: 200553875 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, more intelligent tools and infrastructure to our developers w
Job Source: Apple, Inc.Fiddler 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 AIMoloco, Inc.
Redwood City, CA, United States
The Impact You’ll Be Contributing to Moloco: Moloco is a machine learning company operating at massive scale (we ingest 10 petabytes of training data per day) and our models are blazingly fast (returning predictions in 10 milliseconds or less); and a profitable unicorn (we're valued at $2B & been profitable for the last 13+ quarters). We’re seeki
Job Source: Moloco, Inc.Veryfi, Inc.
San Mateo, CA, United States
[Full Time] Sr. Machine Learning Engineer at Veryfi, Inc. (United States) | BEAMSTART Jobs Sr. Machine Learning Engineer Veryfi, Inc. United States Date Posted 31 Oct, 2022 Work Location San Mateo, CA, United States Salary Offered Not Specified Job Type Full Time Experience Required 11+ years Remote Work No Stock Options No Vacancies 1 availa
Job Source: Veryfi, Inc.Veryfi
San Mateo, CA, United States
Sit at the intersection of software engineering and data science. Leverage big data tools and programming frameworks to ensure that the raw data gathered from data pipelines are redefined as data science models that are ready to scale as needed. Prior experience with machine vision and machine learning in financial services is essential. Key Res
Job Source: VeryfiRedwood City, CA, United States
Due to its remote and hybrid culture, Alation conducts all of its interviewing and onboarding virtually.
Big Data isn’t a problem. It’s an opportunity.
At Alation, we help people find, understand, and trust data. So they not only excel in their work — they drive value for their enterprise, team, and role. In the words of one customer, “Alation makes me look like a rockstar.”
We help companies like Pfizer and Salesforce empower their people with the best data every day. As a platform for innovation, Alation helps customers create game-changing solutions (like a program for early-stage disease detection with Pfizer) and connect people to great data in less time (like Salesforce, whose analysts can now find data 35% faster). And we’re just getting started.
With more than $340M in funding - valued at over $1.7 billion and 450+ customers with household names - Alation is poised to capitalize on data as an opportunity. Headquartered in Silicon Valley, Alation was named to Inc. Magazine’s Best Workplaces list for the fourth time, and our exceptional Glassdoor rating reflects a culture that makes coming to work each day a joy. Do you want to join a team that welcomes new ideas, supports your growth, and recognizes your unique value?
Join us!
The Governance ML team works to enable automated curation of the Alation Data Catalog. We are the core AI/ML team at Alation. We deliver end to end solutions that include creating new infrastructure to enable AI/ML workflows, securely handle data, and continually update deployed models as well as the user interfaces and backing APIs features may require. Our goal is to speed adoption of the data catalog within customer deployments by making it easy to curate data and derive meaningful insights from it quickly. What you'll do: Build flexible, scalable, and efficient infrastructure to power ML at Alation
Design and build ML services for use by multiple internal product teams for training, evaluating, and serving models
Implement and educate on industry best practices around data handling (integrity and security) and model pipeline curation
Assist in making buy vs. build decisions for ML infrastructure components
Stay abreast of current research and participate in regular paper review sessions
Play active and consulting roles in feature development backed by ML across the company
You should have: 8+ years of experience designing, developing, and shipping software products and services
5+ years of experience building production-ready systems
Demonstrated experience building ML infrastructure supporting launched SaaS products and features
Highly comfortable working in Python with an interest in system languages such as Go
Comfortable with ML modeling and concepts around the model development lifecycle
Familiarity with PyTorch, Tensorflow, Numpy, JAX, or some subset thereof
Experience developing in the AWS ecosystem
Demonstrated ability to create efficient and scalable systems
A desire to work in a small team but take on technical leadership of a critical area
Nice to have: Experience developing on top of Kubernetes-based infrastructure
Experience with one or more MLOps platforms such as Sagemaker, Vertex, Metaflow
Experience with open-source LLMs
$202,755 - $220,250 a year Base Salary Target: $202,755 to $220,250
The base salary range is specific to the United States. The salary of the final candidate selected for this role will be set based on a variety of factors, including but not limited to internal equity, experience, education, work location, specialty, and training. If the final candidate has a different level of experience, the base salary target range may be lower or higher than what is published. #LI-RB1 #LI-Remote
More About Alation Our founders have come together from different backgrounds: business, engineering, and design. This unique mix from our founding team is important to the Alation culture story. Today, our team consists of creators and communicators with varied backgrounds - from Stanford, to the Indian Institute of Technology, big companies and one-person startups, the United States, and abroad. We continue to seek ever more diverse perspectives as we grow.
We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, name, religion, color, national origin, gender identity and expression, sexual orientation, age, marital status, veteran status, or disability status.
Why Alation? - Market-Leading Data Catalog Provider - High-growth, collaborative environment with diverse and inclusive teams - Continuous learning, enrichment and development opportunities - Competitive pay and health offerings including commuter benefits - Flexible time off to relax and recharge and much, much more! Apply for this job
Email Alert for Sr Machine Learning Infrastructure Engineer jobs in Redwood City, CA, United States
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