HPC Engineer, Machine Learning Infrastructure Jobs in San Francisco, CA

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HPC Engineer, Machine Learning Infrastructure - US Remote

Hugging Face

Remote

Full-time

Description Here at Hugging Face, we're on a journey to advance good Machine Learning and make it more accessible. Along the way, we contribute to the development of technology for the better. We have built the fastest-growing, open-source, library of pre-trained models in the world. With more than 1 Million+ models and 320K+ stars on GitHub, over 15.000 companies are using HF technology in production, including leading AI organizations such as Google, Elastic, Salesforce, Grammarly and NASA.

Sr. LLM/AI/ML Engineer with Prompt Engineering

Critical River, Inc.

San Francisco, California, USA

Full-time

Hi, I Hope you are doing good..!! Title: Sr. LLM/AI/ML Engineer with Prompt Engineering Location: Bay Area California (Hybrid) Duration: Fulltime with CR Years of Experience: 5-10 Job Profile Senior LLM Engineer with a focus on Prompt Engineering to join our team. This role involves developing and optimizing large language models (LLMs), with a particular emphasis on creating and refining conversation prompts to enhance AI interactions. The ideal candidate will have extensive experience in deep

Software Engineer (Machine Learning)

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

Burlingame, California, USA

Full-time

Meta Platforms, Inc. (f/k/a Facebook, Inc.) has the following position in Burlingame, 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-2404-135690: $193,879.00/year to $200,200.00/year). Individual pay is determined by skills, qualifications, experience, and location. Compensation details listed in this posting reflect the ba

Software Engineer, Machine Learning

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

Burlingame, California, USA

Full-time

Meta Platforms, Inc. (f/k/a Facebook, Inc.) has the following position in Burlingame, 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-2404-136669: $176,244/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.)

Burlingame, California, USA

Full-time

Meta Platforms, Inc. (f/k/a Facebook, Inc.) has the following position in Burlingame, 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-2405-136846: $221,596/year - $240,240/year). Individual pay is determined by skills, qualifications, experience, and location. Compensation details listed in this posting reflect the base salar

Infrastructure Engineer

Randstad Digital

San Mateo, California, USA

Full-time

job summary: Our IT Team is looking for an Infrastructure Engineer II with a background in systems and infrastructure engineering. This role requires someone who is experienced in developing and administering robust, resilient, and efficient IT Infrastructure designed with security in mind. Logistics: The first 3 months of the role will be on-site in San Mateo, CA, then hybrid 3 days in the office location: SAN MATEO, California job type: Permanent salary: $120,000 - 145,000 per year work

Machine Learning Engineer

Apex Systems

Burlingame, California, USA

Full-time

Job#: 2007066 Job Description: Apex Systems is seeking a Machine Learning Engineer to support a Fortune 500 Client based out of Burlingame, CA. If interested in discussing details please send your resume over to Ashley Bocklet at Title: Machine Learning EngineerLocation: Burlingame, CA (Onsite w/ Hybrid Flexibility)Pay: 70-85/HR Dependent on ExperienceWork Type: W2 Job Description: Machine Learning Engineer Prior experience developing models for low-resource edge devices (Wearables, Mobile pho

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-2405-136809: $215,658/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-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-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-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-2404-136208: $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-2404-136415: $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 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 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-2404-135815: $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-2404-136279: $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-2404-135482: $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 DevOps Infrastructure Engineer

SambaNova Systems

Palo Alto, California, USA

Full-time

Working at SambaNova SambaNova is changing the world of AI through revolutionary solutions including hardware acceleration for machine learning applications. This role is key to unleashing developer productivity for SambaNovas world class engineering teams. As a Principal DevOps Engineer you will be working with our leading software and infrastructure teams enabling them to deploy and maintain our best-in-class solutions. It will be key to ensuring that there is an IaC (Infrastructure-as-Code) d