Machine Learning Jobs in Sunnyvale, CA

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Urgent Requirement-Sr ML Engineer- San Jose, CA ( Day 1 onsite)

CLPS Global

On-site in San Jose, California, USA

Full-time

Client- Tech Mahindra Job Title: Sr ML Engineer Location: San Jose CA ( Day 1 onsite) Duration: Fulltime Job Description: 3+ years of experience working on large feed products, especially in improving feed quality5+ years experience in Product management.Prior experience with AI/ML is a mustAbility to deep dive into technical details of ML systems with engineers, and metrics with the Data Science teamExposure to AI model MonolithCombination of deep learning and real-time data processingCollis

Data Scientist Machine Learning - Sunnyvale, CA and Austin, TX

Akshaya Inc

On-site in Sunnyvale, California, USA

Contract

Job Title: Data Scientist Machine Learning Location: Sunnyvale, CA and Austin, TX Technical skills - Experience in Machine Learning and Deep Learning, including regression, classification, neural network, and Natural Language Processing (NLP).Python, R, SAS, SQL, Tableau Detailed JD: 1. Experience in Machine Learning and Deep Learning, including regression,classification, neural network, and Natural Language Processing (NLP). 2. Extensive experience on Natural Language Processing (NLP) librari

Azure Machine Learning Architect

Next Level Business Services, Inc.

On-site in Santa Clara, California, USA

Contract

Azure ML Architect with Experience on Data Bricks Development platform Santa Clara, CA Prior Experience Hands on experience on working in Azure cloud platform.Experience in designing and implementing scalable and secure Azure cloud solutions using Data Bricks ML platform.Understanding of implementation of architecture within Azure Big Data Analytics Al tools.Expert level in Designing and Architect solutions in Azure Data factory, Azure Databricks, Azure Datalake, Delta Lake and Azure synapse a

Machine Learning A/B Test SDE

U.S. Tech Solutions Inc.

Hybrid in Mountain View, California, USA

Contract

Job Description: Responsibilities: Running and monitoring A/B tests for ML models.Doing analysis of the tests and reporting results for A/B tests.Data analysis to determine thresholds, supply forecast, supply/demand mismatch.Communicate to the team progress, analysis details and test results.A/B testing for ML models along with data analysis, thresholding, supply forecast analysis, supply demand mismatch and reporting.Requirements: Comprehensive understanding of the a/b testing methodology of a

Azure ML Architect

Msquare Technologies

Hybrid in Santa Clara, California, USA

Third Party, Contract

Prior Experience Hands on experience on working in Azure cloud platform. Experience in designing and implementing calable and secure Azure cloud solutions using Data Bricks ML platform. Understanding of implementation of architecture within Azure Big Data Analytics Al tools. Expert level in Designing and Architect solutions in Azure Data factory, Azure Databricks,Azure Datalake, Delta Lake and Azure synapse analytics implementation. Experience in Azure cloud technologies like PySpark, Synapse, A

ML Infrastructure Engineer

Photon Interactive UK Limited

Hybrid in Mountain View, California, USA

Full-time, Third Party

Experience in Machine Learning engineer or Infrastructure roles, with a focus on Machine Learning infrastructure. Proficiency in programming languages Python, Java Experience with Google Cloud Platform is strongly required. Familiarity with machine learning frameworks (e.g., TensorFlow, PyTorch) and libraries (e.g., scikit-learn). Knowledge of DevOps principles and tools (e.g., CI/CD pipelines, Terraform). Strong understanding of Containerization technologies (e.g., Docker, Kubernetes). Ex

Machine Learning Developer/Architect

Up2date Technology Solutions LLC

On-site in San Jose, California, USA

Full-time

We are looking for an expert in machine learning to help us extract value from our data. You will lead all the processes from data collection, cleaning, and preprocessing, to training models and deploying them to production. The ideal candidate will be passionate about artificial intelligence and stay up-to-date with the latest developments in the field. Responsibilities Understanding business objectives and developing models that help to achieve them, along with metrics to track their progress

Sr. Machine Learning Engineer

Object Technology Solutions, Inc.

Remote

Contract

Must have a BS or Master s degree or PhD in Electrical and/or Computer Engineering or Computer ScienceAt least 5 years of relevant work experience.Strong understanding of dimensionality reduction techniques, clustering, and classification.Familiarity with supervised and unsupervised machine learning metrics and requirements.Excellent writing, documentation, and communication skills.Ability to learn new skills and take on new responsibilities.Experience working with AI Accelerators and Performanc

Machine Learning Engineer (Infrastructure)

Photon Interactive UK Limited

Remote

Full-time, Third Party

Greetings Who are we? For the past 20 years, we have powered many Digital Experiences for the Fortune 500. Since 1999, we have grown from a few people to more than 6000 team members across the globe that are engaged in various Digital Modernization. For a brief 1 minute video about us, you can check ;/p> Hiring Type : Full Time/ Contract Machine Learning Engineer (Infrastructure) Mountain View, CA / PST Time Zone Description : Experience in Machine Learning engineer or Infrastructure roles, w

Machine Learning Scientist

Tranzeal, Inc.

Hybrid in Foster City, California, USA

Contract

Role: Machine Learning ScientistLocation: Foster City, CA - Hybrid Role On-site 3 days/week minimum Machine Learning Scientist - We need someone who has a strategy.Machine Learning Scientist StrategistMachine Learning NLPDeep LearningRequired Skill Sets: Deep understanding of machine learning algorithms and methodologies, Strong proficiency with Python and machine learning model development, Collaboration experiences with software engineers Nice to Have Skill Sets: Working experiences in a ma

Machine Learning Engineer Lead - Merchant

DoorDash

On-site in Sunnyvale, California, USA

Full-time

About the Team Come help us build the world's most reliable on-demand, logistics engine for last-mile retail delivery! We're looking for an experienced machine learning engineer to help us develop the AI/ML to power DoorDash growing Merchants. About the Role You will be leading a team of world-class engineers in Machine Learning science, redefining Merchant experience through cutting edge approaches, and providing a consistent, personalized experience to our merchants, no matter where they sit

Principal Product Manager, ML Platform

Adobe Systems

On-site in San Jose, California, USA

Full-time

JOB LEVEL P50 EMPLOYEE ROLE Individual Contributor The Opportunity As part of our wider engagement strategy, we lead the integration of ML technologies into our data and growth platform. As a Principal Product Manager, your role encompasses being responsible for strategy, development, execution, and enhancement of a unified ML platform, comprising cloud ML infrastructure, data platform, campaign orchestration engine, and content platform. Whether large language models, forecasts, recommenders,

Machine Learning Engineer 3

Object Technology Solutions, Inc.

Remote

Contract

I am Madhu from OTSI (Object Technology Solutions, Inc.), we have an immediate opening for a Job Title Machine Learning Engineer 3 with one of our direct clients. Job Title: Machine Learning Engineer 3 Work Location: San Jose, CA Duration: Long Term Contract Job Description: Responsibilities include, but not limited to: Develop and Analyze Machine Learning or AI Models for Edge AI applications. Analyze Open-Source Large Language, Vision and Multi-modal models and deploy them for mobile syste

Robotics Engineer / Machine Learning / Foundation Models

Motion Recruitment Partners, LLC

On-site in Palo Alto, California, USA

Full-time

I have started building an intelligent humanoid because I could not think of a more intriguing challenge than reproducing human level motion capabilities and human level task solving intelligence. We are building the company because we want to deploy humanoids to provide additional labor to build an inspiring tomorrow, e.g. enable a cyclic economy, broaden access to care, and accelerate the transition to renewable energies. If you also find yourself passionate about working out deep technical ch

Machine Learning Engineer, Autopilot AI

Tesla Motors

On-site in Palo Alto, California, USA

Full-time

What to Expect Our team productionalizes ML models - we train and deploy large neural networks for efficient inference on compute-constrained edge devices (CPU / GPU / AI ASIC). You will focus on neural network architecture co-design for neural networks that run on Autopilot and Optimus What You?ll Do Co-design state-of-the-art neural networks for deployment on heterogenous compute, including Tesla's in-house AI ASIC, with an aim to maximize network performance while minimizing latencyCollabora

Internship, ML Performance Software Engineer, Dojo (Fall 2024)

Tesla Motors

On-site in Palo Alto, California, USA

Full-time

What to Expect Consider before submitting an application: This position is expected to start around September 2024 and continue through the entire Fall 2024 term or into Winter 2025 if available. We ask for a minimum of 12 weeks, full-time and on-site, for most internships. International Students: If your work authorization is through CPT, please consult your school on your ability to work 40 hours per week before applying. You must be able to work 40 hours per week on-site. Many students will b

Research Scientist (L6) - Machine Learning and Inference Research

Netflix, Inc.

On-site in Los Gatos, California, USA

Full-time

Netflix is one of the world's leading entertainment services with over 260 million paid memberships in over 190 countries enjoying TV series, films, and games across a wide variety of genres and languages. Members can play, pause, and resume watching as much as they want, anytime, anywhere, and can change their plans at any time. As Netflix continues to grow, we are venturing further into exciting new innovations in personalization and discovery, experimentation and decision-making, understandi

ML Engineer L5, LLM Application Frameworks, Machine Learning Platform

Netflix, Inc.

On-site in Los Gatos, California, USA

Full-time

Netflix is the world's leading streaming entertainment service with 260+ million paid memberships in over 190 countries enjoying TV series, documentaries, and feature films across a wide variety of genres and languages. Machine Learning drives innovation across all product functions and decision-support needs. Building highly scalable and differentiated ML infrastructure is key to accelerating this innovation. The Opportunity We are looking for a driven Software Engineer to join a new team foc

Machine Learning Engineer - Conversation AI

DoorDash

On-site in 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

Internship, ML Compiler Software Engineer, Dojo

Tesla Motors

On-site in Palo Alto, California, USA

Full-time

What to Expect Consider before submitting an application: This position is expected to start around September 2024 and continue through the entire Fall 2024 term or into Winter 2025 if available. We ask for a minimum of 12 weeks, full-time and on-site, for most internships. International Students: If your work authorization is through CPT, please consult your school on your ability to work 40 hours per week before applying. You must be able to work 40 hours per week on-site. Many students will