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Overnight Machine Learning R Jobs in Santa Clara, CA

Info Way Solutions

Data Science

Fremont, CA · On-site

... of R, SQL, Python or other data-extraction and analysis tools • Experience with deployment of machine learning and statistical models on a cloud and leveraging services in AWS or Azure or Google ...

Info Way Solutions

Data Scientist

Fremont, CA · On-site

... machine learning. • Proficiency in programming languages such as Python or R. Experience with machine learning libraries (e.g., TensorFlow, PyTorch, scikit-learn) is highly desirable. • Strong ...

ClifyX

Sr. Bigdata Developer

San Jose, CA · On-site

$62 - $80.50/hr

... and machine learning packages or frameworks such as R, SciKitLearn, SparkML(MLlib), Tensorflow Qualifications : Required : • Experience with big data techniques (Hadoop, MapReduce, Spark) and ...

Cloudera, Inc.

Staff Software Engineer - AI

San Jose, CA · On-site

$184K - $230K/yr

Experience with data science and machine learning tools (R, Python, Tensorflow, Spark) * Deep understanding of cloud-based networking * Experience using Big Data technologies like Spark, Hive etc.

Cloudera

Staff Software Engineer - AI

San Jose, CA · Hybrid

$184K - $230K/yr

Experience with data science and machine learning tools (R, Python, Tensorflow, Spark) * Deep understanding of cloud-based networking * Experience using Big Data technologies like Spark, Hive etc.

Cloudera

Staff Software Engineer - AI

San Jose, CA · On-site

$184K - $230K/yr

Experience with data science and machine learning tools (R, Python, Tensorflow, Spark) * Deep understanding of cloud-based networking * Experience using Big Data technologies like Spark, Hive etc.

Cloudera, Inc.

Staff Software Engineer - AI

San Jose, CA · On-site

$184K - $230K/yr

Experience with data science and machine learning tools (R, Python, Tensorflow, Spark) * Deep understanding of cloud-based networking * Experience using Big Data technologies like Spark, Hive etc.

Cloudera

Staff Software Engineer - AI

San Jose, CA · Hybrid

$184K - $230K/yr

Experience with data science and machine learning tools (R, Python, Tensorflow, Spark) * Deep understanding of cloud-based networking * Experience using Big Data technologies like Spark, Hive etc.

Cloudera

Staff Software Engineer - AI

San Jose, CA · On-site

$184K - $230K/yr

Experience with data science and machine learning tools (R, Python, Tensorflow, Spark) * Deep understanding of cloud-based networking * Experience using Big Data technologies like Spark, Hive etc.

Apex Informatics

Data Scientist

Pleasanton, CA · On-site

R, Python, SLQ, etc. Experience using web services: Redshift, S3, Spark, , etc. Experience creating and using advanced machine learning algorithms and statistics: regression, simulation, scenario ...

CYNET SYSTEMS

IT - AI/ML Engineer 1

San Jose, CA · On-site

$70 - $75/hr

Skills: * Proficient in machine learning frameworks (such as TensorFlow or PyTorch) and libraries (like scikit-learn). * Strong coding skills in programming languages like Python, R, or Java.

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Software Dev Engineer, Machine Learning Compilers

Amazon

Sunnyvale, CA

Full-time

Re-posted 27 days ago

Amazon rating

7.4

Company rating: 7.4 out of 10

Based on 7,154 frontline employees who took The Breakroom Quiz

5th of 39 rated national retailers

Job description

Amazon Devices is an inventive research and development company that designs and engineers high-profile consumer products like the Kindle family, Fire Tablets, Fire TV, Health & Wellness devices, Amazon Echo, and Astro. We are building the next generation of edge AI capabilities through our advanced compression platform, compiler and custom neural accelerator silicon. Come join us to accelerate deep learning networks on edge processors and beyond.


We are looking for a talented and passionate software engineer to be part of an exciting technology creation team at Amazon. You will have an enormous opportunity to make a large impact on the design, architecture, and implementation of deep learning technologies embedded into consumer products used every day, by people you know. The position provides an unique opportunity to contribute and make an impact from hardware design stage followed by pre and post silicon development as well as productizing it on consumer devices.
In this role you will be work along side partner science teams to develop the compiler infrastructure and lower deep learning workloads to heterogeneous device backends

You will also partner up with peer science teams to innovate on model quantization and compression techniques for efficient execution on hardware.
Key job responsibilities
Design and develop software stack for deep learning accelerator
Develop Compiler passes for graph ingestions, optimizations and partitioning.
Develop backend code generation capabilities across heterogeneous platforms
Profile, analyze and optimize system level performance, develop new tooling where necessary
Participate in design reviews, API development, and documentation
Successfully collaborate with hardware, software, applied science and product teams to onboard more and more user experiences to be powered by Deep Learning accelerator.
Mentor and provide guidance to junior engineers
A day in the life
You join a small team building the compiler that brings large AI models to a new generation of custom silicon. The chip has a fraction of the memory of a phone, and the compiler is what makes language models run on it at all. The team is small enough that each engineer owns a meaningful piece of the system end to end

There is no layer between you and the problem.
The morning starts with results from an overnight run. A piece of the compiler you own just produced its tightest result yet on a real model. You ship the change for hardware validation.
You spend the afternoon directing AI agents through the codebase, reviewing their changes, and steering the design


Before lunch, you load your compiled model onto the chip and run it through a demo app you wrote yourself, watching tokens stream out of silicon you helped make work. Later, you meet with the research team. They depend on your component.

You sketch a cleaner interface together.
About the team
We sit at the intersection of AI models and custom silicon, and our work decides what is possible at the edge.
Engineers here bring deep experience across compilers and program analysis, optimization algorithms, computer architecture, machine learning systems, and the practical craft of getting large software to run reliably under tight constraints. People have shipped production code generators, tuned schedulers for novel hardware, and worked at every layer from the model down to the bare metal.
Because the team is small, you work alongside that experience daily, not at a distance. You partner directly with researchers shaping the models, hardware engineers shaping the silicon, and firmware engineers shaping the runtime

You learn how each layer constrains and unlocks the others, and you see your decisions land end to end.
This is a place to build technical depth quickly and own work that matters from day one.

What Amazon employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom

Amazon logo

About Amazon

Sourced by ZipRecruiter

Amazon.com, Inc., commonly known as Amazon, is an American multinational technology company. It was founded by Jeff Bezos in 1994 and initially started as an online marketplace for books. Since then, Amazon has expanded its operations and become one of the largest e-commerce companies in the world. Amazon's primary business is its online retail platform, where customers can purchase a vast array of products, including electronics, clothing, books, home goods, and much more. The company offers a convenient and user-friendly shopping experience, with features such as fast shipping, customer reviews, and personalized recommendations. In addition to its e-commerce platform, Amazon has diversified its business into various other areas. One of its notable ventures is Amazon Web Services (AWS), a comprehensive cloud computing platform that provides services such as storage, compute power, and database management to individuals and businesses. AWS has become a leader in the cloud computing industry, powering many websites and applications worldwide. Amazon has also developed its own consumer electronics, including the popular Amazon Kindle e-reader, Fire tablets, Fire TV streaming devices, and the Alexa-powered Echo smart speakers. The Alexa voice assistant, integrated into these devices, allows users to interact with their devices using voice commands, perform tasks, and access information. Furthermore, Amazon has expanded into media and entertainment. It operates Prime Video, a streaming service that offers a wide range of movies, TV shows, and original content. Amazon Music provides a platform for streaming and purchasing digital music, while Audible offers audiobooks and other audio content. The company's commitment to customer satisfaction and convenience is demonstrated by its membership program, Amazon Prime. Prime members receive various benefits, including free two-day shipping, access to streaming services, exclusive deals, and more.

Industry

It services, book publishers, retail, real estate, computer and electronic product manufacturing and software development

Company size

10,000+ Employees

Headquarters location

Seattle, WA, US

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