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Machine learning engineer Jobs in Sunnyvale, CA

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Machine learning engineer • sunnyvale ca

Last updated: 20 hours ago

Machine Learning Engineer

AdobeSan Jose
Full-timeFull-time

Adobe is seeking a Machine Learning Engineer to join the Adobe Risk Platform (ARP) team.ARP is Adobe's centralized, adaptive system for detecting, preventing, and mitigating fraud and abuse across ... Show more

Machine Learning Engineer

ServiceNowSanta Clara, CALIFORNIA, United States
$158,900.00–$178,100.00 yearly$158,900.00–$178,100.00 yearly
Full-timeFull-time

The Multimodal team is transforming how ServiceNow understands multimodal content, including documents, images, and videos, by bringing the latest advances in AI into enterprise workflows.We build ... Show more

Senior Machine Learning Engineer - Perception

Bonsai RoboticsSan Jose, California, United States, 95113
$150,000.00–$220,000.00 yearly$150,000.00–$220,000.00 yearly
Full-timeFull-time
Quick Apply

Bonsai Robotics develops affordable, vision-based autonomy that makes off-road equipment smarter, safer, and more productive.We are redefining outdoor autonomy with Bonsai Intelligence, a connected... Show more

Senior Machine Learning Engineer - Research & Innovation Team

SAPPalo Alto, CA, US
Full-time +1Full-time +1

At SAP, we keep it simple: you bring your best to us, and we'll bring out the best in you.We're builders touching over 20 industries and 80% of global commerce, and we need your unique talents to h... Show more

Sr. Machine Learning Engineer, AGI

Amazon.com Services LLCSunnyvale, California, USA
Full-timeFull-time

The Foundational AI (FAI) team is looking for a passionate, talented, and inventive Machine Learning Engineer with a strong deep learning background, to build industry-leading Generative Artificial... Show more

Machine Learning - Compiler Engineer, AWS Neuron, Annapurna Labs

Annapurna Labs (U.S.) Inc.Cupertino, California, USA
Full-timeFull-time

Do you want to be part of AI revolution? At Amazon our vision is to make deep learning pervasive for everyday developers and to democratize access to AI hardware and software infrastructure.In orde... Show more

Principal Machine Learning Engineer

OracleSanta Clara, California, US
Full-timeFull-time

Implements machine learning (ML) models for production.Ensures the readiness of machine learning models for deployment in production.Automates machine learning workflows.Creates infrastructure and ... Show more

Machine Learning Engineer: 24-02866

Akraya IncSanta Clara, California, United States
$80.00–$95.00 hourly$80.00–$95.00 hourly
Full-timeFull-time
Quick Apply

Primary Skills: Machine Learning (Expert), Ad Platform (Intermediate), Microservices (Advanced), Algorithm Development (Expert), Big Data (Advanced).Pay Range: $80 - $95 Per Hour on W2.Join our Ad ... Show more

Software Engineer III - Machine Learning Platform

JPMorgan Chase Bank, N.A.Palo Alto, CA, US
$137,750.00–$185,000.00 yearly$137,750.00–$185,000.00 yearly
Full-timeFull-time

We have an exciting and rewarding opportunity for you to take your software engineering career to the next level.As a Software Engineer III at JPMorganChase within the AI/ML data platform team you ... Show more

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Machine Learning Engineer

Glint Tech Solutions LLCSanta Clara, CA, USA
Full-timeFull-time
Quick Apply

We are looking for a Machine Learning Engineer to join our core team building scalable ML systems for real-world perception and embodied intelligence.In this role, you will work on end-to-end machi... Show more

Senior Machine Learning Engineer

Intuitive SurgicalSunnyvale, CA, United States
$167,300.00–$240,700.00 yearly$167,300.00–$240,700.00 yearly
Full-timeFull-time

It started with a simple idea: what if surgery could be less invasive and recovery less painful? Nearly 30 years later, that question still fuels everything we do at.We’re a team of engineers, clin... Show more

Principal Machine Learning Engineer

SAP IT Business SystemePalo Alto, California, United States
Full-time +1Full-time +1

You will architect ML solutions, lead deployment at scale, and ensure compliance with performance and security standards.You'll act as a trusted advisor and contribute to SAP's AI strategy.You have... Show more

Senior Data Scientist - AI & Machine Learning (Remote)

BEARCloud, Inc.San Jose, California, United States
RemoteRemote
Full-timeFull-time
Quick Apply

AI and machine learning solutions within the healthcare technology space.This role offers the opportunity to work with large, complex datasets, develop advanced AI models, and collaborate with cros... Show more

Machine Learning Engineer - Remote

YO AI LabsSan Jose, CA, USA
RemoteRemote
Full-timeFull-time
Quick Apply

AI training project by creating reinforcement learning environments that evaluate AI models on complex software engineering tasks using.You will design reproducible environments, deterministic veri... Show more

Machine Learning Systems Engineer — Sensor Algorithms

TalentlabSanta Clara, California, United States
Full-timeFull-time

Machine Learning Systems Engineer — Sensor Algorithms.Multi-modal sensor fusion, signal processing, ML algorithms.TalentLab is working with a leading semiconductor and edge-computing technology com... Show more

Machine Learning Researcher / Engineer (Foundation Models)

PathwayPalo Alto, CA, US
RemoteRemote
Full-time +1Full-time +1
Quick Apply

At Pathway we are shaking the foundations of artificial intelligence by introducing the world’s first post-transformer model that adapts and thinks just like humans.Our breakthrough architecture ou... Show more

Machine Learning Engineer, Amazon Ads Identity

A9.com LLCPalo Alto, California, USA
Full-timeFull-time

Are you interested in working with the core Amazon Advertising teams and collaborating with ad tech partners to spearhead innovation and deliver Identity solutions for our customers? Do you want to... Show more

Machine Learning Engineer

TEKsystemsCupertino, CA, US
RemoteRemote
Full-timeFull-time

Description:* The Engineer is responsible for developing, implementing and maintaining technical software applications and provides a combination of technical and business leadership while being th... Show more

Senior Machine Learning Engineer, Perception

PlusAI IncSanta Clara, California, United States, 95050
$150,000.00–$200,000.00 yearly$150,000.00–$200,000.00 yearly
Full-timeFull-time

Senior Machine Learning Engineer, Perception.PlusAI is a Physical AI company pioneering AI-based virtual driver software for factory-built autonomous trucks.Headquartered in Silicon Valley with ope... Show more

Senior Machine Learning Engineer - Digital Intelligence

J.P. MorganPalo Alto, California, US
Full-timeFull-time

Consumer & Community Banking division serves our Chase customers through a range of financial services, including personal banking, credit cards, mortgages, auto financing, investment advice, small... Show more

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Machine Learning Engineer

Machine Learning Engineer

AdobeSan Jose
1 day ago
Job type
  • Full-time
Job description

Adobe is seeking a Machine Learning Engineer to join the Adobe Risk Platform (ARP) team. ARP is Adobe's centralized, adaptive system for detecting, preventing, and mitigating fraud and abuse across products and services — protecting surfaces like Commerce, Stock, and Firefly with real-time risk decisions, without degrading the customer experience.

In this position, you will help build and develop machine learning models to identify fraudulent activity, detect abusive account behavior, and protect the experience of hundreds of millions of users. You'll work across the model lifecycle from raw behavioral data and feature engineering, to model training, deployment, and monitoring alongside senior engineers on the team.

Key Responsibilities

  • Help build and train ML models covering various fraud and abuse areas. These include financial transaction fraud, device-related deception, and account and identity abuse. The goal is a unified, continuously-updated trust and risk score.
  • Contribute to feature engineering across transaction, device, and behavioral event data.
  • Build and maintain feature pipelines on Databricks and Spark, transforming raw transaction and device event data into high-quality model inputs.
  • Help translate prototypes into production ML systems, working with senior engineers on scalability, reliability, and observability.
  • Support MLOps practices: experiment tracking, model versioning, CI/CD, and production monitoring.
  • Collaborate cross-functionally with data science, product, and platform teams to understand fraud and abuse patterns across Adobe's surfaces.
  • Stay ahead of advances in ML/AI, particularly in fraud detection and behavioral modeling, and bring relevant ideas to the team.

Minimum Qualifications

  • Bachelor's degree in Computer Science, Machine Learning, Data Science, or related field (or equivalent experience).
  • 3+ years of professional experience building and deploying ML solutions, or equivalent experience through internships, research, or personal projects.
  • Solid programming skills in Python, with hands-on experience in PyTorch, TensorFlow, scikit-learn, or similar frameworks.
  • Working understanding of the ML lifecycle — from data collection through deployment and monitoring.
  • Eagerness to learn model optimization, inference efficiency, and production system integration, with support from senior engineers on the team.

Preferred Qualifications

  • Coursework, projects, or professional experience in any of: payment fraud, device fingerprinting, account takeover detection, anomaly detection, or graph-based modeling.
  • Exposure to sequence modeling, transformer architectures, or graph neural networks.
  • Familiarity with Databricks, Spark, or large-scale transactional/event pipelines.

About Adobe

Adobe empowers everyone to create through innovative platforms and tools that unleash creativity, productivity and personalized customer experiences. Adobe’s industry-leading offerings including Adobe Acrobat Studio, Adobe Express, Adobe Firefly, Creative Cloud, Adobe Experience Platform, Adobe Experience Manager, and GenStudio enable people and businesses to turn ideas into impact, powered by AI and driven by human ingenuity.


Our 30,000+ employees worldwide are creating the future and raising the bar as we drive the next decade of growth. We’re on a mission to hire the very best and believe in creating a company culture where all employees are empowered to make an impact. At Adobe, we believe that great ideas can come from anywhere in the organization. The next big idea could be yours.


Let’s Adobe together

At Adobe, we believe in creating a company culture where all employees are empowered to make an impact. Learn more about Adobe life, including our , , , comprehensive , the , the we serve, and how you can help us advance our mission of empowering everyone to create.