Sunnyvale, CA

Data Jobs in Sunnyvale, CA

22 jobs found

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Today

Sr. Machine Learning Engineer, AGI

Amazon.com Services LLC Sunnyvale, CA

Sunnyvale, CA

Today

$193k - $262k/yr Full time Artificial Intelligence Engineer Genai

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Job Description

Amazon’s Foundational AI (FAI) team is working to push the boundaries of Generative AI using Large Language Models (LLMs). In this onsite role in Sunnyvale, you will help build and evaluate reinforcement learning environments, contribute to frontier model research, and apply Amazon’s heterogeneous data sources and large-scale computing resources to accelerate progress in LLMs.

This position sits within a team focused on improving the customer experience through advanced GenAI capabilities.

What You’ll Do

Support the development of RL Gyms
Assess the usefulness of RL Gyms for frontier model advancement
Build techniques that advance the state of the art with LLMs
Support foundational model development in an applied research role
Leverage Amazon’s heterogeneous data sources and large-scale computing resources to accelerate advances in LLMs

Key Qualifications

5+ years of non-internship professional software development experience
5+ years of programming with at least one software programming language experience
5+ years leading design or architecture (design patterns, reliability, and scaling) of new and existing systems
Experience as a mentor, tech lead, or leading an engineering team
5+ years of full software development life cycle experience, including coding standards, code reviews, source control management, build processes, testing, and operations
Bachelor’s degree in computer science or equivalent

Compensation

Base salary range: USA, CA, Sunnyvale - USD 193,300 - 261,500 per year.

Benefits

Sign-on payments
Restricted stock units (RSUs)
Health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance, with option for Supplemental life plans)
EAP and Mental Health Support
Medical Advice Line
Flexible Spending Accounts
Adoption and Surrogacy Reimbursement coverage
401(k) matching
Paid time off
Parental leave

About the Team

The FAI team’s mission is to push the envelope in GenAI with LLMs to deliver the best-possible experience for customers.

Los Angeles County Applicants

Work safely and cooperatively with other employees, supervisors, and staff
Adhere to standards of excellence despite stressful conditions
Communicate effectively and respectfully with employees, supervisors, and staff to ensure exceptional customer service
Follow all federal, state, and local laws and Company policies
Criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position
Those duties include the responsibilities listed above and the ability to adhere to company policies, exercise sound judgment, effectively manage stress and work safely and respectfully with others, exhibit trustworthiness and professionalism, and safeguard business operations and the Company’s reputation
Pursuant to the Los Angeles County Fair Chance Ordinance, qualified applicants with arrest and conviction records will be considered

Inclusive Culture

If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, visit https://amazon.jobs/content/en/how-we-hire/accommodations.

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22d ago

Data Engineer

UST Austin, TX

Austin, TX

22d ago

$72k - $108k/yr Full time Data Engineer Data Engineering ETL

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Job Description

UST is hiring a Data Engineer to collaborate with internal teams and support delivery across a project or program lifecycle, including documentation, readiness reviews, stakeholder communication, and cross-functional coordination.

Role Location

Austin, Texas (onsite)

Compensation

$72,000 to $108,000 per year.

Summary

The Data Engineer will work with other staff to maximize productivity for the project or program. Key areas include documentation, program reviews and readiness assessments, stakeholder communication, and coordinating cross-functional teams. The role supports documentation, status reporting, and delivery tracking while coordinating operational processes tied to BOM uploads and change request forms.

Responsibilities

Collaborate effectively with other staff to maximize productivity for the project or program.
Document phases of project, program, and process development and report, disseminate, or transfer information required by other functional areas as appropriate.
Lead regular program reviews, readiness assessments, and risk management discussions.
Communicate program status, risks, mitigation plans, and executive updates to stakeholders at all organizational levels.
Engage with driving BOM uploads and CP request activities.
Launch schedule CRF (change request form) and update PUSH/DROP when applicable.
Manage and track system ship dates and update the system push pout tracker accordingly.
Close CRFs when project managers are the last approvers.
Issue delivery notes for completed projects.
Provide paperwork refreshers for systems that have been sitting in FGI and are approaching their ship dates.
Establish and coordinate cross-functional teams including Manufacturing Engineering, Supply Chain, Test Engineering, Quality, Product Engineering, Operations, and Program Management.

Requirements

Bachelor’s degree preferred
0–4 years of experience
Required: Project management
Desired: Administrator/project management
Required: Microsoft Office skills
Desired: Data Analytics
Required: Excellent written and verbal communication skills

Technologies

PySpark
Streaming
Scala
ETL

Benefits

Full-time, regular employees accrue a minimum of 10 days of paid vacation per year.
Full-time, regular employees receive 6 days of paid sick leave each year (pro-rated for new hires throughout the year).
10 paid holidays.
Eligible for paid bereavement leave and jury duty.
Eligible to participate in the 401(k) Retirement Plan with employer matching.
Medical, dental, and vision insurance (US dependents eligible if residing in the US).
Company-paid Employee Only benefits: basic life insurance, accidental death and disability insurance, and short- and long-term disability benefits.
Eligible to purchase additional voluntary short-term disability benefits.
Eligible to participate in a Health Savings Account (HSA) and Flexible Spending Account (FSA) for healthcare, dependent child care, and/or commuting expenses (as allowable under IRS guidelines).
Full-time temporary employees: 6 days of paid sick leave each year (pro-rated for new hires throughout the year) and eligible to participate in the Company’s 401(k) program with employer matching.
Part-time employees: 6 days of paid sick leave each year (pro-rated for new hires throughout the year) and eligible to participate in the Company’s 401(k) Retirement Plan with employer matching.
Part-time temporary employees: 6 days of paid sick leave each year (pro-rated for new hires throughout the year).
All US employees working in a state or locality with more generous paid sick leave laws will receive the benefits required by those laws.

What UST Values

UST states it embraces the values that have shaped the company since day one and builds its culture of Humility, Humanity, and Integrity.

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24d ago

AI engineer

Robotics Technologies Sunnyvale, CA

Sunnyvale, CA

24d ago

Full time Ai Engineer Artificial Intelligence Chatbot Development

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Job Description

Robotics Technologies is looking for an AI engineer to design, build, and deploy conversational AI systems for digital customer engagement. This onsite role in Sunnyvale, CA focuses on scalable chatbot frameworks on Google Cloud, leveraging Vertex AI, CCAI, and Dialogflow capabilities to improve real-world interactions.

The position centers on end-to-end development, from NLP and GenAI modeling through production-grade deployment and integration. The role is well-suited to engineers with strong software and ML/NLP depth, plus practical MLOps experience for reliable chatbot operations.

What You’ll Do

Architect, design, and develop scalable chat Virtual Agent frameworks on Vertex AI, including experience with Vertex AI Agent Engine and the Google Agent Development Kit (ADK).
Build, customize, and optimize conversational bots using Dialogflow CX/ES, including advanced intent detection, context management, slot filling, and rich fulfillment.
Apply state-of-the-art NLP, LLM, and GenAI models on Vertex AI to strengthen chatbot capabilities, such as complex intent handling, summarization, entity extraction, and response generation.
Develop and maintain cloud-native chat Virtual Agent solutions using GCP services including CCAI, Pub/Sub, Cloud Functions, Cloud Run, Cloud Storage, and BigQuery for real-time processing, analytics, and reporting.
Train, fine-tune, and deploy custom LLMs, transformer models, and Retrieval Augmented Generation (RAG) pipelines to improve agent intelligence.
Use MLOps best practices for chatbot pipelines, including automation of training, deployment, testing, monitoring, and versioning with Vertex AI Pipelines, Docker, Kubernetes, and CI/CD.
Develop REST APIs, gRPC, and JSON-based communication to integrate the chatbot with other systems.

Required Skills

6+ years in software development, including 4+ years in NLP/NLU for chat.
Advanced Python skills, plus experience using ML/NLP libraries such as Hugging Face, TensorFlow, and PyTorch.
Proven experience building conversational agents with Vertex AI and Dialogflow CX/ES.
Proficiency with GCP services and cloud-native architectures.
Solid MLOps understanding, including Docker, Kubernetes, CI/CD, and Git.
Experience with Agent Assist is a plus.

Technologies

Google Cloud, Vertex AI, CCAI, Dialogflow, Dialogflow CX/ES
Vertex AI Agent Engine, Google Agent Development Kit (ADK)
NLP, LLM, GenAI
Pub/Sub, Cloud Functions, Cloud Run, Cloud Storage, BigQuery
Retrieval Augmented Generation (RAG), transformer models
Vertex AI Pipelines, Docker, Kubernetes, CI/CD
REST APIs, gRPC, JSON, Python, Hugging Face, TensorFlow, PyTorch
Agent Assist

Job Details

Job ID: J52944
Location: Sunnyvale, CA (onsite)
Duration: 9 Months + Extension
Hourly Rate: Depending on Experience (DOE)
Employment Type: W-2, 1099, C2C
Work Authorization: US Citizen, Green Card, OPT-EAD, CPT, H-1B, H4-EAD, L2-EAD, GC-EAD
Client: To Be Discussed Later

Preferred Qualifications

Master’s/PhD in Computer Science, AI/ML, or related field.
GCP certifications (e.g., Google Cloud Certified Professional ML Engineer).
Experience with GenAI frameworks (PaLM, Gemini).
Experience integrating with CRM, knowledge bases, and live agent systems.
Knowledge of security and compliance in chat AI.

Collaboration & Leadership

Excellent communication and collaboration.
Strong ownership and end-to-end project delivery.
Leadership in cross-functional environments.
Team Leading and Management.

Minimum Experience: 6 years

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30d ago

AI Engineer - Algorithm Evaluation & Agentic Systems

Apple Sunnyvale, CA

Sunnyvale, CA

30d ago

$150k - $278k/yr Full time Agentic Ai Agentic Ai Orchestration Ai Agent

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Job Description

Apple’s DAQ team builds evaluation to advance advanced visual technologies. This AI Engineer role focuses on algorithm evaluation and designing agentic systems for computer vision and video understanding, bridging rigorous experimentation with production-ready benchmarking and integration.

Role Focus

Within DAQ, you will lead the benchmarking and integration of state-of-the-art image and video understanding models. The position emphasizes building evaluation pipelines to uncover edge-case failure modes and architect autonomous multi-modal workflows that connect experimentation with production deployments.

Responsibilities

Design, build, and scale comprehensive evaluation pipelines for holistic end-to-end system evaluation and granular component-level testing on complex image and video understanding tasks.
Analyze model outputs to identify root causes of visual hallucinations, temporal inconsistencies in video, and edge-case failures.
Build, deploy, and evaluate agentic workflows that use vision models to autonomously solve multi-step user problems such as video summarization and visual search.
Use component-level evaluation to isolate and triage which parts of an agentic workflow (including tool selection, memory retrieval, and visual reasoning) are succeeding or failing.
Lead dataset curation and ground-truth benchmark development, tailored to evaluating multi-modal capabilities.
Partner with core model training teams to provide actionable, data-driven insights and metrics to inform model training and fine-tuning iterations.
Lead benchmarking and integration efforts for state-of-the-art models for image and video understanding.

Requirements

MS and a minimum of 3 years of relevant industry experience.
3+ years of applied experience in Machine Learning, Computer Vision, or AI System Evaluation.
Deep understanding of core Machine Learning principles, including probability, statistics, data distributions, and model bias/variance.
Deep theoretical and practical understanding of Computer Vision and Vision-Language Models, including Vision Transformers (ViTs), spatial-temporal modeling, and image/video processing.
Proven track record defining robust metrics and KPIs and designing rigorous evaluation frameworks for generative AI or foundation models, including custom benchmark creation, automated regression testing, LLM/VLM-as-a-judge methodologies, and human-in-the-loop evaluation.
Experience building and evaluating LLM/VLM-powered agents, including tool use, multi-step reasoning, planning, and memory management workflows.
Strong intuition for probing ML models to discover edge cases, hallucinations, and performance bottlenecks in constrained environments, and translating findings into improvement recommendations.
Proficiency in Python and experience with deep learning frameworks (PyTorch) for inference, embedding extraction, and scalable evaluation pipeline development.

Technologies

Python
PyTorch
Vision Transformers (ViTs)
Computer Vision (CV)
Vision-Language Models (VLMs)
LLM/VLM-as-a-judge methodologies
LLM/VLM-powered agents

What We Value

Production mindset, including correctness, observability, and maintainability.
Ability to reason about system-level tradeoffs beyond model performance.
Balance between experimentation speed and engineering rigor.
Comfort working in ambiguous problem spaces and defining metrics from first principles.
Clear communication of technical findings to technical and non-technical audiences.

Preferred Qualifications

Ability to lead technical evaluation strategies end-to-end, drive architectural decisions for testing infrastructure, and mentor engineers.
Strong foundation in statistics, including hypothesis testing, confidence intervals, and experimental design.
Knowledge of reinforcement learning, planning, or decision-making systems.
Experience evaluating multi-modal or multi-agent systems.
Prior work on AI reliability, safety, or benchmarking.

Pay & Benefits

Base pay range: USD 150,400 to USD 277,600 per year.
Comprehensive medical and dental coverage.
Retirement benefits.
Range of discounted products and free services.
Reimbursement for certain educational expenses, including tuition for formal education related to advancing your career.
Opportunity to become an Apple shareholder through participation in Apple’s discretionary employee stock programs.
Discretionary restricted stock unit awards.
Ability to purchase Apple stock at a discount if voluntarily participating in the Apple Employee Stock Purchase Plan.
Potential discretionary bonuses or commission payments.
Relocation may be eligible.
Learn more about Apple Benefits.
Note: Apple benefit, compensation, and employee stock programs are subject to eligibility requirements and other terms of the applicable plan or program.

Location and Experience Level

Onsite role in Sunnyvale, CA. Minimum experience requirement is 3 years, with an MS degree required.

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1mo ago

Data Scientist / Computer Vision Engineer

Glint Tech Solutions LLC Sunnyvale, CA

Sunnyvale, CA

1mo ago Closed

Full time Artificial Intelligence Cloud Cloud Infrastructure

This position is no longer accepting applications (closed Sep 11, 2026).

Job Description

Work on an AI team delivering production-scale computer vision for enterprise applications in Sunnyvale, CA (onsite).

Responsibilities

Design, build, and optimize computer vision solutions for real-world production environments
Create scalable AI inference pipelines using NVIDIA DeepStream
Tune GPU performance to support high-throughput, low-latency computer vision workloads
Develop and deploy distributed computer vision applications across large-scale infrastructure
Design and implement microservices that support AI and computer vision platforms
Collaborate with AI researchers, software engineers, and infrastructure teams to ship production-ready systems
Improve performance, scalability, and reliability across GPU-accelerated environments
Identify and resolve performance bottlenecks by troubleshooting and optimizing inference pipelines

Requirements

Strong experience with computer vision technologies and production deployments
Hands-on NVIDIA DeepStream experience (required)
Strong understanding of GPU optimization and performance tuning
Experience building microservices architecture
Experience with distributed computing systems
Strong programming skills in Python and/or C++
Experience deploying scalable AI applications in production
Excellent problem-solving and performance optimization skills

Technologies

NVIDIA DeepStream, NVIDIA CUDA, TensorRT
Python, C++
OpenCV, GStreamer
Microservices architecture
GPU optimization, NVIDIA SDKs
Kubernetes, Docker
AWS, Azure, GCP, cloud platforms
Machine learning models, deep learning models

Preferred qualifications

Experience with NVIDIA CUDA or TensorRT
Experience with OpenCV, GStreamer, or NVIDIA SDKs
Familiarity with Kubernetes and Docker
Experience with cloud platforms (AWS, Azure, or GCP)
Experience deploying machine learning or deep learning models in production
Knowledge of real-time streaming and edge AI solutions

Required skills (must have)

NVIDIA DeepStream
GPU Optimization
Computer Vision
Microservices Architecture
Distributed Computing

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1mo ago

Staff, Data Scientist

Walmart Sunnyvale, CA

Sunnyvale, CA

1mo ago Closed

$143k - $286k/yr Full time Big Data Bigquery Cloud Platform

This position is no longer accepting applications (closed Sep 7, 2026).

Job Description

Walmart is hiring a Staff Data Scientist in Sunnyvale, CA (onsite) to turn complex data into actionable business insights. In this role, you will build and deploy production-ready predictive machine learning solutions focused on fraud and risk detection, working closely with cross-functional partners.

Role Summary

As a Staff Data Scientist, you will use advanced analytics and machine learning to transform large-scale datasets into practical recommendations. The position includes hands-on development of predictive models, evaluation of model performance, and collaboration on scalable, production-ready data science solutions for fraud and risk detection.

Responsibilities

Perform hands-on data exploration, processing, and analysis on large-scale datasets.
Apply machine learning, deep learning, and data mining techniques to develop robust predictive models for eCommerce fraud detection, financial services fraud detection, anomaly detection, and abusive returns.
Extract and analyze data from data warehouses and cloud platforms, including feature engineering, back-test modeling, and performance evaluation.
Present findings and recommendations to stakeholders.
Research, develop, and implement state-of-the-art algorithms addressing complex business challenges.
Partner with cross-functional teams to deploy scalable, production-ready data science solutions.

Requirements

Strong expertise in data mining, machine learning, statistical analysis, and deep learning.
Proficiency in Python and experience with open-source machine learning and data science frameworks.
Experience working with large datasets using distributed computing platforms such as BigQuery, Hive, or Spark.
Experience in cloud environments, including Google Cloud Platform (GCP) or Microsoft Azure.
Familiarity with AI agents and practical AI-driven applications.
Strong database and querying skills, including BigQuery, Hive, and SQL.
Programming experience in Python, Java, or JavaScript.
Advanced degree in a STEM field (Master's or PhD preferred) and at least five years of relevant industry experience.
Ability to thrive in a fast-paced environment and communicate effectively with both technical and non-technical stakeholders.

Technologies

Python
BigQuery
Hive
Spark
SQL
Google Cloud Platform (GCP)
Microsoft Azure
Java
JavaScript
scikit learn
tensorflow
torch

About the Team

Fraud and Risk Detection Data Science team at Walmart Global Tech.
Cross-functional team across data science, big data, IT infrastructure, and business operations.
Develop scalable predictive models and analytics solutions using advanced machine learning, deep learning, and optimization techniques.
Work with large volumes of business and customer data generated across Walmart’s online and offline commerce platforms.

Minimum Qualifications

Option 1: Bachelors degree in Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology or related field and 4 years of experience in an analytics related field.
Option 2: Masters degree in Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology or related field and 2 years of experience in an analytics related field.
Option 3: 6 years of experience in an analytics or related field.

Preferred Qualifications

Data science, machine learning, optimization models, and a PhD in Machine Learning, Computer Science, Information Technology, Operations Research, Statistics, Applied Mathematics, or Econometrics.
Successful completion of one or more assessments in Python, Spark, Scala, or R.
Using open source frameworks such as scikit learn, tensorflow, or torch.
Background in creating inclusive digital experiences, including knowledge of implementing Web Content Accessibility Guidelines (WCAG) 2.2 AA standards, assistive technologies, and integrating digital accessibility.
Knowledge of accessibility best practices and experience aligning with Walmart accessibility standards and guidelines supporting an inclusive culture.

Location and Work Details

Location: Sunnyvale, CA (onsite)
Primary location address: 815 Eleventh Ave, Sunnyvale, CA 94089-4731, United States of America
Minimum experience: 2 years

Compensation

Salary range: USD 143,000 - 286,000 per year

Benefits

Health benefits including medical, vision and dental coverage.
401(k).
Stock purchase.
Company-paid life insurance.
PTO including sick leave, parental leave, family care leave, bereavement, jury duty, and voting.
Short-term and long-term disability.
Company discounts.
Military Leave Pay.
Adoption and surrogacy expense reimbursement.
Live Better U (Walmart-paid education benefit program).
Annual or quarterly performance bonuses.
Additional compensation for certain positions may include stock.
PTO and/or PPTO that can be used for vacation, sick leave, holidays, or other purposes.

Drug-Free Workplace

Walmart and its subsidiaries are committed to maintaining a drug-free workplace and have a no tolerance policy regarding the use of illegal drugs and alcohol on the job.

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1mo ago

IT Knowledge & Training Data Scientist, Employee Experience & Productivity, IS&T

Apple Sunnyvale, CA

Sunnyvale, CA

1mo ago Closed

$145k - $218k/yr Full time Analytics Artificial Intelligence Business Intelligence

This position is no longer accepting applications (closed Sep 6, 2026).

Job Description

This role in Sunnyvale, CA (onsite) supports Apple’s IS&T Knowledge & Training group by creating analytical assets that measure training and knowledge resource effectiveness.

Responsibilities

Collaborate with knowledge and training leaders to understand needs, convert business questions into data problems, and provide evidence-based recommendations
Extract, clean, transform, and validate data from multiple learning and content systems, including training platforms, content management systems, and web analytics
Build and maintain dashboards and reports in Tableau, using them to identify trends, surface anomalies, and communicate insights to stakeholders
Run deep-dive analyses on training effectiveness and content performance data to answer questions not covered by existing dashboards, delivering results as slides or annotated visualizations
Use AI to accelerate insight generation (summarization, classification) while validating outputs for accuracy and reliability
Create and maintain well-documented, reproducible analytical workflows, including clean SQL and organized code in GitHub so others can understand and extend work
Monitor data quality across knowledge and training data sources, flagging issues early and partnering with data engineering to resolve them

Requirements

Working knowledge of how data supports content strategy, curriculum design, and self-service enablement
Working knowledge of clickstream data and web analytics for content performance and user engagement measurement
Proficiency with version control and collaborative documentation practices using tools like GitHub
Knowledge of statistical modeling, including hypothesis testing, regression, and foundational causal inference methods
Track record of applying AI to real-world data analytics and productivity challenges
Ability to communicate analytical findings clearly to both technical and non-technical audiences, adjusting depth and format
Comfort with ambiguity, including defining an analytical approach when the business question is loosely framed
Proven ability to build trust with leaders across diverse functional areas
Education: Bachelor’s degree (or Master’s degree or PhD in a quantitative or business field, such as statistics, data science, economics, operations research, applied mathematics, natural sciences, or an MBA with analytics concentration)
Experience: 3+ years working with learning and development data (training platforms, content performance metrics, or learner engagement data)
Experience: 3+ years hands-on writing SQL to extract, transform, and analyze data from large multi-source datasets
Experience: 3+ years building dashboards and visualizations in Tableau, Looker, or equivalent
Experience: 3+ years using Python or R for data manipulation and analysis
Experience: 3+ years delivering analytical work in a fast-paced environment with evolving priorities and multiple stakeholders
Alternative education/experience: Bachelor’s degree and 3+ years in data analytics, business intelligence, data science, or a related quantitative field, or a Master’s degree with 2+ years of relevant experience

Technologies

SQL, Tableau, Looker
Python, R
GitHub
AI
Clickstream data, web analytics

Benefits

Comprehensive medical and dental coverage
Retirement benefits
Discounted products and free services
Reimbursement for certain educational expenses, including tuition
Discretionary employee stock programs, including discretionary restricted stock unit awards
Employee Stock Purchase Plan (purchase Apple stock at a discount, if participating)
Potential discretionary bonuses or commission payments
Potential relocation
Base pay range: USD 144,600 - 218,000 per year