Machine Learning Engineer Jobs in mountain view%2Cca

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Machine Learning Engineer - Conversation AI

DoorDash

Remote or Sunnyvale, California, USA

Full-time

About the Team Come help us build the world's most reliable on-demand, logistics engine for delivery! We're looking for an experienced ML Engineer to help us develop and improve the models that power DoorDash's three- sided marketplace of consumers, merchants, and dashers. Team is responsible for building a leading industry level NLP/LLM system to empower all communication for Doordash Journey, also building recommendation/personalization to provide best experience. About the Role As a Machine

Senior Deep Learning/Machine Learning Engineer

Solomon Page

Santa Clara, California, USA

Full-time

Our client is looking to fill the role of Senior Deep Learning/Machine Learning Engineer. This role will be hybrid and based out of the Santa Clara office. Responsibilities: Training, and deploying deep learning models for a variety of DNN tasks. Optimizing and compiling models for different runtime agents including OpenVino, ONNX runtime, TensorRT, TFLite runtime, and HW. Work with open-source custom models and datasets, and port open-source models to our supported runtimes. Benchmarking the

ML Engineer it is in San Jose, CA OR Remote| Contract and Fulltime Position

RHP Soft Inc.

San Jose, California, USA

Full-time

Hello, Greetings from RHP Soft Inc. We are looking for a ML Engineer it is in San Jose, CA OR Remote| Fulltime Position. If interested, please share a copy of your resume at ML Engineer it is in San Jose, CA OR Remote| Contract and Fulltime Position Interview Process: 3 Rounds of Interview Job Description: We are seeking a talented Machine Learning Engineer with expertise in software engineering to join our team. As a Machine Learning Engineer. Mandatory Skills: (Go or Python or GRPC or Java

Machine Learning Engineer - Large Language Models & Generative AI

Apple, Inc.

Cupertino, California, USA

Full-time

Summary Imagine what you could do here. The people here at Apple don't just create products - they create the kind of wonder that's revolutionized entire industries. It's the diversity of those people and their ideas that inspires the innovation that runs through everything we do, from amazing technology to industry-leading environmental efforts. Join Apple, and help us leave the world better than we found it.We are looking for a highly skilled and experienced Machine Learning and Generative AI

Machine Learning Engineer, Typographic Intelligence

Adobe Systems

San Jose, California, USA

Full-time

JOB LEVEL P40 EMPLOYEE ROLE Individual Contributor The Opportunity We're looking for a Machine Learning Engineer who will be responsible for inventing and delivering functionality across Adobe's suite of creative products that radically simplifies typographic decisions and processes for our users. Typography has been at Adobe's core since it was founded almost 40 years ago. Today, we have millions of Creative Cloud users who design with text across our apps. Designing high impact text is one o

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-2404-136257: $193,247/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

Machine Learning Engineer L4, Algorithms Engineering

Netflix, Inc.

Los Gatos, California, USA

Full-time

Netflix is the world's leading streaming entertainment service with 220M+ paid memberships in over 190 countries enjoying TV series, documentaries, and feature films across a wide variety of genres and languages. The Opportunity We are looking for a passionate and talented machine learning engineer to join our applied ML research team on estimating long-term member satisfaction. As Netflix continues to grow, we are venturing into exciting new frontiers of personalization to help our members fi

Sr Machine Learning Engineer - Large Language Models & Generative AI Platform & Infrastructure

Apple, Inc.

Cupertino, California, USA

Full-time

Summary Imagine what you could do here. The people here at Apple don't just create products - they create the kind of wonder that's revolutionized entire industries. It's the diversity of those people and their ideas that inspires the innovation that runs through everything we do, from amazing technology to industry-leading environmental efforts. Join Apple, and help us leave the world better than we found it.We are looking for a highly skilled and experienced Sr Machine Learning and Generative

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-2404-135575: $147,368/year to $158,400/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.)

Sunnyvale, California, USA

Full-time

Meta Platforms, Inc. (f/k/a Facebook, Inc.) has the following position in Sunnyvale, 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-2404-135382: $214,032 - $240,240). Individual pay is determined by skills, qualifications, experience, and location. Compensation details listed in this posting reflect the base salary only, and

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-2403-135084: $182,608 -$200,200). Individual pay is determined by skills, qualifications, experience, and location. Compensation details listed in this posting reflect the base salary only, and

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-2403-134947: $229,451 - $240,240). Individual pay is determined by skills, qualifications, experience, and location. Compensation details listed in this posting reflect the base salary only, an

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-2404-135204: $225,396 - $240,240). Individual pay is determined by skills, qualifications, experience, and location. Compensation details listed in this posting reflect the base salary only, an

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-2403-135072: $196,087 - $200,200). Individual pay is determined by skills, qualifications, experience, and location. Compensation details listed in this posting reflect the base salary only, an

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-2404-135307: $214,032 - $240,240). Individual pay is determined by skills, qualifications, experience, and location. Compensation details listed in this posting reflect the base salary only, an

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 problem. (Ref. code REQ-2404-135233: $178,360 - $200,200). Individual pay is determined by skills, qualifications, experience, and location. Compensation details listed in this posting reflect the base salary only, and

Software Engineer, Machine Learning (MPKSWE15)

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 (MPKSWE15): Research, design, develop, and test operating systems-level software, compilers, and network distribution software for massive social data and prediction problems. (Ref. code REQ-2403-135025: $219,221 - $240,240). Individual pay is determined by skills, qualifications, experience, and location. Compensation details listed in this posting reflect the base sala

Software Engineer, Machine Learning (91.172540.5)

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 (91.172540.5): Research, design, develop, and test operating systems-level software, compilers, and network distribution software for massive social data and prediction problems. (Ref. code REQ-2404-135242: $178,360 - $200,200). Individual pay is determined by skills, qualifications, experience, and location. Compensation details listed in this posting reflect the base s

Data Scientist Level V / Machine Learning Engineer Level V

Calsoft Labs

San Jose, California, USA

Contract

We have W2 Contract Position as a Data Scientist Level V / Machine Learning Engineer Level Vrole with one of our direct client. Title: Data Scientist Level V / Machine Learning Engineer Level V Location: San Jose, CA/ Salt Lake City, UT / Austin, TX (Onsite) Job Description: Experience working on client Security data, which spans into Petabytes. They lack a Data Scientist / Machine Learning Engineer and seek someone to bridge this gap. The ideal candidate will assist the team in building ML m

Machine Learning Engineer, Forecast Platform

DoorDash

Remote or Sunnyvale, California, USA

Full-time

About the Team Come help us build the world's most reliable on-demand, logistics engine for delivery! We are bringing on a talented Machine Learning Engineer to help us improve the operational efficiency of DoorDash's three-sided marketplace of consumers, merchants, and dashers. The Forecasting Platform provides a unique opportunity to have a broad impact on the business ensuring we can quickly respond to a rapidly changing operational environment. The team supports projects across all of our m