senior machine learning engineer Jobs in san jose, ca

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Software Engineer, Machine Learning

Meta Platforms, Inc. (f/k/a Facebook, Inc.)

Menlo Park, California, USA

Full-time

Meta Platforms, Inc. (f/k/a Facebook, Inc.) has the following position in Menlo Park, CA: Software Engineer, Machine Learning: Research, design, develop, and test operating systems-level software, compilers, and network distribution software for massive social data and prediction problems. (ref. code REQ-2405-137395: $219,221/year - $240,240/year). Individual pay is determined by skills, qualifications, experience, and location. Compensation details listed in this posting reflect the base salar

Software Engineer, Machine Learning

Meta Platforms, Inc. (f/k/a Facebook, Inc.)

Menlo Park, California, USA

Full-time

Meta Platforms, Inc. (f/k/a Facebook, Inc.) has the following position in Menlo Park, CA: Software Engineer, Machine Learning: Research, design, develop, and test operating systems-level software, compilers, and network distribution software for massive social data and prediction problems. (ref. code REQ-2404-135835: $178,360/year to $200,200/year). Individual pay is determined by skills, qualifications, experience, and location. Compensation details listed in this posting reflect the base sala

Software Engineer, Machine Learning

Meta Platforms, Inc. (f/k/a Facebook, Inc.)

Menlo Park, California, USA

Full-time

Meta Platforms, Inc. (f/k/a Facebook, Inc.) has the following position in Menlo Park, CA: Software Engineer, Machine Learning: Research, design, develop, and test operating systems-level software, compilers, and network distribution software for massive social data and prediction problems. (ref. code REQ-2405-137344: $187,398/year - $200,200/year). Individual pay is determined by skills, qualifications, experience, and location. Compensation details listed in this posting reflect the base salar

Software Engineer (Machine Learning)

Meta Platforms, Inc. (f/k/a Facebook, Inc.)

Menlo Park, California, USA

Full-time

Meta Platforms, Inc. (f/k/a Facebook, Inc.) has the following position in Menlo Park, CA: Software Engineer (Machine Learning): Research, design, develop, and test operating systems-level software, compilers, and network distribution software for massive social data and prediction problems. (ref. code REQ-2404-136446: $178,360/year - $200,200/year). Individual pay is determined by skills, qualifications, experience, and location. Compensation details listed in this posting reflect the base sala

Software Engineer, Machine Learning

Meta Platforms, Inc. (f/k/a Facebook, Inc.)

Menlo Park, California, USA

Full-time

Meta Platforms, Inc. (f/k/a Facebook, Inc.) has the following position in Menlo Park, CA: Software Engineer, Machine Learning: Research, design, develop, and test operating systems-level software, compilers, and network distribution software for massive social data and prediction problems. (ref. code REQ-2404-136208: $214,471/year - $240,240/year). Individual pay is determined by skills, qualifications, experience, and location. Compensation details listed in this posting reflect the base salar

Software Engineer, Machine Learning

Meta Platforms, Inc. (f/k/a Facebook, Inc.)

Menlo Park, California, USA

Full-time

Meta Platforms, Inc. (f/k/a Facebook, Inc.) has the following position in Menlo Park, CA: Software Engineer, Machine Learning: Research, design, develop, and test operating systems-level software, compilers, and network distribution software for massive social data and prediction problems. (ref. code REQ-2404-136312: $238,422/year - $240,240/year). Individual pay is determined by skills, qualifications, experience, and location. Compensation details listed in this posting reflect the base salar

Software Engineer, Machine Learning

Meta Platforms, Inc. (f/k/a Facebook, Inc.)

Menlo Park, California, USA

Full-time

Meta Platforms, Inc. (f/k/a Facebook, Inc.) has the following position in Menlo Park, CA: Software Engineer, Machine Learning: Research, design, develop, and test operating systems-level software, compilers, and network distribution software for massive social data and prediction problems. (ref. code REQ-2404-136415: $269,094/year - $290,180/year). Individual pay is determined by skills, qualifications, experience, and location. Compensation details listed in this posting reflect the base salar

Software Engineer, Machine Learning

Meta Platforms, Inc. (f/k/a Facebook, Inc.)

Menlo Park, California, USA

Full-time

Meta Platforms, Inc. (f/k/a Facebook, Inc.) has the following position in Menlo Park, CA: Software Engineer, Machine Learning: Research, design, develop, and test systems-level software for massive social data and prediction problems. (ref. code REQ-2404-136678: $222,276/year to $240,240/year). Individual pay is determined by skills, qualifications, experience, and location. Compensation details listed in this posting reflect the base salary only, and do not include bonus or equity or sales inc

Software Engineer, Machine Learning

Meta Platforms, Inc. (f/k/a Facebook, Inc.)

Menlo Park, California, USA

Full-time

Meta Platforms, Inc. (f/k/a Facebook, Inc.) has the following position in Menlo Park, CA: Software Engineer, Machine Learning: Research, design, develop, and test operating systems-level software, compilers, and network distribution software for massive social data and prediction problems. (ref. code REQ-2404-136279: $215,658/year to $240,240/year). Individual pay is determined by skills, qualifications, experience, and location. Compensation details listed in this posting reflect the base sala

Software Engineer (Machine Learning)

Meta Platforms, Inc. (f/k/a Facebook, Inc.)

Menlo Park, California, USA

Full-time

Meta Platforms, Inc. (f/k/a Facebook, Inc.) has the following position in Menlo Park, CA: Software Engineer (Machine Learning): Research, design, develop, and test operating systems-level software, compilers, and network distribution software for massive social data and prediction problems. (ref. code REQ-2404-135815: $192,397/year to $200,200/year). Individual pay is determined by skills, qualifications, experience, and location. Compensation details listed in this posting reflect the base sal

Software Engineer, Machine Learning

Meta Platforms, Inc. (f/k/a Facebook, Inc.)

Menlo Park, California, USA

Full-time

Meta Platforms, Inc. (f/k/a Facebook, Inc.) has the following position in Menlo Park, CA: Software Engineer, Machine Learning: Research, design, develop, and test operating systems-level software, compilers, and network distribution software for massive social data and prediction problems. (ref. code REQ-2404-135482: $192,921/year to $200,200/year). Individual pay is determined by skills, qualifications, experience, and location. Compensation details listed in this posting reflect the base sala

Senior Software Engineer (AI/ML)

Intuit

Mountain View, California, USA

Full-time

Company Overview Intuit is the global financial technology platform that powers prosperity for the people and communities we serve. With approximately 100 million customers worldwide using products such as TurboTax, Credit Karma, QuickBooks, and Mailchimp, we believe that everyone should have the opportunity to prosper. We never stop working to find new, innovative ways to make that possible. Job Overview Join the DevX GenAI Knowledge Management team as Senior Software Engineer to accelerate

Senior Data Engineer (Machine Learning)

W3Global

Remote or Jersey City, New Jersey, USA

Full-time

Senior Data Engineer (ML/ ETL) Full Time Remote Responsibilities: bold">Collaborate with machine learning practitioners to understand algorithm feature and data requirements bold">Work with Engineering teams to collect required data from internal and external systems bold">Develop and maintain production-grade batch and streaming pipelines bold">Setup orchestration and automation of ETL jobs using tools such as Airflow and Jenkins bold">Improve and extend existing data infrastructure servi

Senior Principal Software Engineer - AI/ML Networks (JoinOCI-SDE)

Oracle Corporation

Santa Clara, California, USA

Full-time

Job Description Cloud Engineering Infrastructure Development Oracle Cloud Infrastructure (OCI) Cluster Networking team is building an ultra-high performance network required to support AI/ML/HPC workloads. This is your opportunity to join the AI revolution and designing systems which allow customers to scale from tens to thousands of GPU without compromising on performance. This team will be responsible for designing, developing and performance tuning the networking stack required to run dist

Machine Learning Engineer

Apple, Inc.

Cupertino, California, USA

Full-time

Summary Imagine what you could do here. At Apple, great ideas have a way of becoming great products, services, and customer experiences very quickly. Bring passion and dedication to your job and there's no telling what you could accomplish.Are you an enthusiastic Machine Learning Engineer eager to apply your expertise in a fast-paced, innovative tech environment? Join our Global Sourcing & Supply Management (GSSM) Solutions team as a key player in revolutionizing our supply chain. Description

Full Stack Engineer (Devops, AI/ML and Healthcare)

R Systems, Inc.

Santa Clara, California, USA

Contract

Position: Full Stack Engineer (Devops, AI/ML and Healthcare) Location: Santa Clara, CA Duration: Long Term Job Description: The right individual is a healthcare enthusiast, keen on using AI to tackle significant challenges in the industry. You will be one of the first engineers to join the Client team and will close with the co-founders. You will be responsible for building out the core components of the product, growing and building out the engineering team ad taking the product to the next lev

Software Engineer, Analytics & Applied ML

Apple, Inc.

Cupertino, California, USA

Full-time

Summary Join our Wireless Technologies and Ecosystems (WTE) organization to be part of an outstanding team of engineers passionate about driving innovation and enriching experiences for millions of customers worldwide. Wireless Software team is looking for an exceptional software engineer to enable / deploy ML experiences and develop sophisticate telemetry frameworks for wireless products. ML powered features & analytics frameworks you build enable analytics, diagnostics, product experimentatio

AIML - Full Stack ML Engineer, LLM Optimization

Apple, Inc.

Cupertino, California, USA

Full-time

Summary As a Machine Learning Engineer in the LLM Optimization team at Apple, you will have the opportunity to be part of an innovative ML organization that enables LLM for Apple products. The LLM Optimization team focuses on designing and implementing ML-based solutions to improve runtime latency, training time, memory usage, time to first token, and decoding speed across all Apple applications. The team is strategically positioned for significant contributions both in the short term (on well-

Software Engineer, Analytics & Applied ML

Apple, Inc.

Cupertino, California, USA

Full-time

Summary Join our Wireless Technologies and Ecosystems (WTE) organization to be part of an outstanding team of engineers passionate about driving innovation and enriching experiences for millions of customers worldwide. Wireless Software team is looking for an exceptional software engineer to enable / deploy ML experiences and develop sophisticate telemetry frameworks for wireless products. ML powered features & analytics frameworks you build enable analytics, diagnostics, product experimentatio

AIML - Software Engineer, Machine Learning Platform and Technologies

Apple, Inc.

Cupertino, California, USA

Full-time

Summary Do you want to make Siri and Apple products smarter for our users? The Siri Search & Information Intelligence teams are building groundbreaking technology for algorithmic search, machine learning, natural language processing, and artificial intelligence. The features we build are redefining how hundreds of millions of people use their computers and mobile devices to search and find what they are looking for. Siri's universal search engine powers search features across a variety of Apple