Sunnyvale, CA

Data Jobs in Sunnyvale, CA

52 jobs found

Include remote jobs

Today

Senior, Machine Learning Engineer

Walmart Sunnyvale, CA

Sunnyvale, CA

Today

$143k - $286k/yr Full time Senior Ai Ml Artificial Intelligence

Apply Now

Job Description

Design and deliver scalable machine learning systems with a focus on automated model training optimization and experimentation for enterprise AI governance.

Responsibilities

Partner with engineers, data scientists, and product teams to deliver machine learning features and models.
Design and build auto-research capabilities that automate model training, optimization, experimentation, and evaluation.
Enable iterative hyperparameter tuning and experiment execution against defined objective metrics.
Identify and surface best-performing models with minimal manual intervention to speed up the machine learning development lifecycle.
Implement, test, and support machine learning services, APIs, and data pipelines to maintain quality and reliability.
Apply MLOps practices including CI/CD, model versioning, and automated retraining to sustain performance.
Perform rigorous evaluation, monitoring, and maintenance to address model drift and performance issues.
Ensure secure, compliant machine learning aligned with enterprise AI governance standards.

Requirements

Experience designing, developing, and deploying scalable machine learning systems using frameworks such as TensorFlow, PyTorch, and Scikit-learn.
Strong programming skills in Python, SQL, Java, and C++ for production-ready machine learning applications.
Hands-on experience operating agentic or autonomous research systems.
Experience running automated experimentation against defined objective metrics through AutoResearch loops.
Knowledge of the end-to-end machine learning lifecycle: data sourcing, feature engineering, model training, evaluation, deployment, and monitoring.
MLOps knowledge including CI/CD, model versioning, automated retraining, and telemetry for reliability.
Ability to implement secure, compliant machine learning pipelines that align with enterprise AI governance standards.
Demonstrated collaboration and mentorship within cross-functional teams to drive technical excellence.

Technologies

TensorFlow, PyTorch, Scikit-learn
Python, SQL, Java, C++
CI/CD, AutoResearch, telemetry

Education & Experience

Minimum experience: 3 years.
Minimum qualifications (Option 1): Bachelor’s degree in computer science, computer engineering, computer information systems, software engineering, or related area, plus 3 years’ experience in software engineering, machine learning engineering, AI systems, or related area.
Minimum qualifications (Option 2): 5 years’ experience in software engineering, machine learning engineering, AI systems, or related area.

Preferred Qualifications

Master’s degree in a related field and 1 year’s experience in software engineering, machine learning engineering, AI systems, or related area.
Prior experience with accessibility best practices.
Prior experience creating inclusive digital experiences, including knowledge of implementing Web Content Accessibility Guidelines (WCAG) 2.2 AA, assistive technologies, and integrating accessibility into digital experiences.

Benefits

Health benefits: medical, vision, and dental coverage.
Financial benefits: 401(k), stock purchase, and company-paid life insurance.
Paid time off: PTO (including sick leave), parental leave, family care leave, bereavement, jury duty, and voting.
Other benefits: short-term and long-term disability, company discounts, Military Leave Pay, adoption and surrogacy expense reimbursement, and more.
Live Better U: Walmart-paid education benefit program for full-time and part-time associates in Walmart and Sam’s Club facilities.
Tuition, books, and fees are paid by Walmart.

Work Location

Sunnyvale, CA, United States (onsite)
Primary location: 815 Eleventh Ave, Sunnyvale, CA 94089-4731, United States of America

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

About the Team

Develops foundational models for Walmart’s e-commerce platform using large-scale user interactions to create representations of users, products, and search queries.
Supports scalable search, advertising, recommendation, and personalization solutions.
Applies data science, machine learning, and software engineering to optimize model performance, training, and deployment.
Focuses on data quality, advanced analytics, and impactful visualization to deliver actionable insights that influence key business outcomes.
Leverages cross-functional collaboration for innovation and continuous improvement in a dynamic technology environment.

View full job page →

Today

Staff, Data Engineer

Walmart Sunnyvale, CA

Sunnyvale, CA

Today

$110k - $286k/yr Full time Artificial Intelligence Automation Big Data

Apply Now

Job Description

As part of Walmart Global Tech, this Staff Data Engineer role sits on the Global Data Foundations team, focused on building enterprise platforms and data products that support supply chain automation and enterprise intelligence. You will help turn real-time automation, robotics, IoT, and sensor signals into actionable insights, while working closely with product and business partners to solve complex supply chain challenges using data, software, and AI.

This onsite position is based in Sunnyvale, CA, and supports an end-to-end mission to provide unified intelligence across Walmart’s supply chain ecosystem.

What you’ll do

Build and scale enterprise platforms for Walmart’s Supply Chain Automation initiatives, including Digital Twin, Predictive Maintenance, warehouse intelligence, and operational analytics.
Create high-performance data products, APIs, microservices, and user-facing applications for large-scale automation, robotics, IoT, sensor, and operational data.
Partner with product, operations, and business teams to address complex supply chain problems using data, software, and AI.
Use AI-assisted development tools, coding agents, and prompt-driven engineering practices to improve innovation speed while maintaining reliability, scalability, observability, and operational excellence.

Required qualifications

Strong experience building large-scale distributed data and software platforms using Spark, BigQuery, Java, Python, Kafka, Cassandra, Elasticsearch, React, APIs, and cloud-native architectures.
Proven expertise in data engineering, backend development, event-driven systems, real-time data processing, and scalable application design.
Strong problem-solving, ownership, and collaboration skills with the ability to deliver business impact at enterprise scale.
Minimum experience level: 3 years.
Education: Bachelor's degree in Computer Science.
Relevant experience options:
- Option 1: Bachelor's degree in Computer Science and 4 years of software engineering (or related field)
- Option 2: 6 years of software engineering (or related field)
- Option 3: Master's degree in Computer Science and 2 years of software engineering (or related field)
Minimum minimum experience also includes 3 years in data engineering, database engineering, business intelligence, or business analytics.

Preferred qualifications

Experience working with high-volume IoT, telemetry, sensor, automation, or machine-generated data (highly desirable).
Hands-on experience applying AI and automation to solve complex business problems, including using AI-powered development tools, coding agents, and prompt-driven engineering workflows.
Knowledge of accessibility best practices, including implementing Web Content Accessibility Guidelines (WCAG) 2.2 AA, assistive technologies, and integrating digital accessi… (text truncated in source).

Technologies you may use

Spark, BigQuery, Java, Python, Kafka, Cassandra, Elasticsearch, React, APIs
Cloud-native architectures and microservices
Digital Twin, Predictive Maintenance
Computer Vision, robotics telemetry, IoT analytics, SCADA

Team context

The Global Data Foundations E2E Supply Chain Automation team builds Walmart’s enterprise platform for warehouse automation intelligence.
The team enables solutions by integrating data from multiple automation platforms across supply chain warehouse and transportation next gen applications, supporting Digital Twin, Predictive Maintenance, Computer Vision, robotics telemetry, IoT analytics, and operational intelligence.
The mission is a unified intelligence layer for real-time visibility, predictive insights, and scalable AI-powered automation across Walmart’s supply chain ecosystem.

Location and compensation

Primary location: 1375 Crossman Ave, Sunnyvale, CA 94089-1114, United States of America
Work mode: Onsite
Salary range: USD 110,000 - 286,000 per year

Benefits

Performance-based bonus awards
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
Voting
Short-term and long-term disability
Company discounts
Military Leave Pay
Adoption and surrogacy expense reimbursement
PTO and/or PPTO
Live Better U (Walmart-paid education benefit program for associates)

View full job page →

1d ago

Data Engineer, Operations Finance

Apple Sunnyvale, CA

Sunnyvale, CA

1d ago

$149k - $249k/yr Full time Apache Airflow Artificial Intelligence Automation

Apply Now

Job Description

Apple is hiring a Data Engineer for Operations Finance to build and scale the financial data platform that supports logistics costing and forecasting.

Responsibilities

Understand and document finance processes across logistics and supply chain operations
Find and implement process reengineering and automation opportunities to improve efficiency
Work with financial analysts, engineers, and operations experts to define data needs and convert them into scalable data foundations
Develop scalable, flexible, high-performance data pipelines for analytics, reporting, and AI/GenAI workloads
Apply best practices for data modeling, governance, lineage, quality, and documentation to improve trust and consistency across the data ecosystem
Collaborate with cross-functional engineering teams to build and support vector-ready data models, feature pipelines, metadata systems, and other foundations for Agentic & GenAI applications
Design and build scalable data models and modern Data & Business solutions using tools such as Dataiku

Requirements

5+ years of experience as a data engineer building end-to-end data pipelines
Bachelor’s degree in Computer Science, Information Systems, or equivalent
Advanced SQL skills for complex transformations, optimization, and troubleshooting
Python proficiency, including writing clean and maintainable Python for data pipelines and automation

Technologies

Dataiku
Data & Business solutions
Agentic/GenAI, AI/GenAI
Vector-ready data models
Snowflake
PostgreSQL
Airflow
Jenkins
CI/CD tools
Python
SQL

Preferred Qualifications

Experience with scheduling systems and CI/CD tooling such as Airflow and Jenkins
Hands-on experience with relational database management systems such as Snowflake, PostgreSQL, or similar cloud data warehouses
Knowledge of Supply Chain, Logistics, Finance, and Accounting processes
Strong communication skills and ability to work independently

Benefits

Comprehensive medical and dental coverage
Retirement benefits
Discounted products and free services
Reimbursement for certain educational expenses, including tuition
Discretionary bonuses or commission payments, plus potential relocation support (discretionary, eligibility-dependent)
Opportunity to become an Apple shareholder through participation in Apple’s discretionary employee stock programs
Eligible for discretionary restricted stock unit awards
Ability to purchase Apple stock at a discount if participating in Apple’s Employee Stock Purchase Plan

Pay & Benefits

Base pay range: $149,200 to $249,000 per year
Base pay determined within the range based on skills, qualifications, experience, and location
Apple benefit, compensation, and employee stock programs are subject to eligibility requirements and other terms of the applicable plan or program

Location: Sunnyvale, CA (onsite)

Experience Level: Minimum 5 years

View full job page →

3d ago

Sr Machine Learning Engineer- Delivery Marketplace

Uber Sunnyvale, CA

Sunnyvale, CA

3d ago

$202k - $224k/yr Full time Backend Developer Ai Ml Artificial Intelligence

Apply Now

Job Description

Uber’s Delivery Marketplace team is seeking a Senior Machine Learning Engineer to lead the design, development, and productionization of advanced machine learning models and matching algorithms. The role focuses on improving dispatch, ETA, pickup optimization, and trip reliability through large-scale, real-time multi-objective optimization systems.

Key Responsibilities

Drive technical strategy and roadmap ownership across multiple quarter horizons, including platform-level architecture decisions, executive communication and alignment, technical mentorship, and cross-team technical influence.
Develop novel online marketplace products that combine machine learning for prediction and forecasting with optimization to improve business efficiency and user experience.
Lead end-to-end design, development, and productionization of machine learning solutions for large-scale distributed systems serving billions of trips.
Develop transformer-based models, including pre-training and fine-tuning, to generate embeddings and natural language profiles that support Marketplace use cases.

Required Qualifications

Ph.D., M.S., or Bachelor in Computer Science, Mathematics with a focus on Machine Learning, or equivalent technical background with exceptional demonstrated impact.
3+ years of experience leading development and deployment of ML models in large-scale production environments at top-tier ML companies (for example, 1M+ predictions/sec or 100M+ users), with a track record of delivering outstanding business impact over multiple quarters.
Proficiency in programming languages such as Python, Scala, Java, or Go.
Proficiency with large-scale data systems (for example, Spark, Ray), real-time processing (for example, Flink), and microservices architectures.
Proficiency in building, training, productionizing, and monitoring ML solutions at scale, from offline pipelines to online serving and MLOps.
Deep understanding of modern machine learning algorithms.

Technologies

Python, Scala, Java, Go
Spark, Ray, Flink
Microservices architectures
Machine learning, deep learning
Causal modeling, reinforcement learning
Transformer-based models, embeddings, natural language profiles
MLOps

Compensation and Location

Location: Sunnyvale, CA (onsite)

Salary: USD 202,000 - 224,000 per year

Benefits

Eligible to participate in Uber’s bonus program.
May be offered an equity award and other types of compensation.
All full-time employees are eligible to participate in a 401(k) plan.
Eligible for various benefits.

Preferred Qualifications

Experience developing and deploying ML models for large-scale business problems.
Track record of translating complex business problems into technical solutions and driving cross-functional projects.
Excellent communication skills to lead initiatives across multiple product areas.
Proficiency in deep learning, causal machine learning, or reinforcement learning.
Proficiency with large embedding and language models.

Onsite Requirements

Offices remain key to collaboration and Uber’s culture. Unless approved for full remote work, employees must spend at least 50% of their time in-office. Some roles, such as those at greenlight hubs, require full-time in-office presence.

View full job page →

3d ago

Sr. Engineer - Platform Data Engineer

CrowdStrike Sunnyvale, CA 🇺🇸 Remote

Sunnyvale, CA

3d ago

$164k - $295k/yr Full time Cloud Data Platform Data Engineer Data Engineering

Apply Now

Job Description

Build and operate CrowdStrike’s core platform data infrastructure that powers analytics across the company.

Responsibilities

Deploy, configure, and administer core platform tooling, including Apache Airflow and Apache Superset, in production environments
Manage data platform infrastructure using Infrastructure-as-Code (IaC) with Terraform
Build and maintain CI/CD pipelines for platform services and data workflow deployments
Implement and enforce platform security, access controls, and compliance standards
Develop and maintain data models using DBT and catalog assets within OpenMetadata
Write efficient Python for platform automation and data processing
Provide technical leadership by mentoring junior engineers

Requirements

Eligibility for CJIS clearance (requires U.S. citizenship or Green Card / permanent resident status)
Bachelor’s degree in Computer Science or related field
8+ years of combined infrastructure and data engineering experience
Advanced Python programming experience (5+ years)
Expert knowledge of Apache Airflow deployment and administration
Strong experience deploying and managing Apache Superset (or similar BI platforms)
Cloud platform expertise across AWS, GCP, Azure, or OCI, including IAM, networking, and managed services
Infrastructure-as-Code proficiency
Container orchestration experience with Kubernetes and/or Docker in production
Knowledge and experience with DBT and OpenMetadata
SQL and data modeling expertise
Experience with data security and compliance requirements
Proven experience utilizing AI technologies to enhance decision-making, streamline workflows and processes, improve efficiency, and drive business outcomes

Technologies

Airflow, Superset, Terraform, CI/CD pipelines, DBT, OpenMetadata, Python, Apache Airflow, Apache Superset
AWS, GCP, Azure, OCI, IAM
Kubernetes, Docker
SQL
AI technologies

Benefits

Market leader in compensation and equity awards
Comprehensive physical and mental wellness programs
Competitive vacation and holidays for recharge
Paid parental and adoption leaves
Professional development opportunities for all employees regardless of level or role
Employee Networks, geographic neighborhood groups, and volunteer opportunities to build connections
Vibrant office culture with world class amenities
Great Place to Work Certified™ across the globe

Location: Sunnyvale, CA (remote) | Salary: USD 164,000 - 295,000 per yearly | Experience: 8+ years

Bonus Points

Master’s degree in a relevant field
Experience with cybersecurity data
Contributions to open-source projects
Knowledge of machine learning pipelines

View full job page →

4d ago

Data Scientist

Apple Sunnyvale, CA

Sunnyvale, CA

4d ago

$185k - $325k/yr Full time Artificial Intelligence Computer Vision + Llm Data Analysis

Apply Now

Job Description

Apple is building evaluation capabilities to measure the quality of generative imaging features in ways that engineering and product teams can trust. In this role, you will design evaluation sets, run human annotation, develop automated metrics including LLM-as-judge systems, and convert the findings into decision-ready quality signals that guide model development and release decisions.

What you will do

Own the quality evaluation lifecycle end to end, from evaluation set design through annotation, scoring, analysis, and recommendations that influence what engineering and product build next.
Establish the measurement foundation by designing and maintaining golden sets and evaluation sets, analyzing data distributions to keep results representative, and ensuring known defects remain covered.
Run human evaluation by writing and iterating annotation guidelines and label schemas, building or adapting lightweight labeling tools for image and video review, monitoring annotator quality, and resolving disagreements and ambiguity in guidelines.
Automate repeatable work by developing automated metrics and LLM-as-judge systems, calibrating them against human labels, and tracking where automated outputs diverge.
Make results decision-ready through model-vs-model comparisons with confidence intervals, significance testing, and breakdowns by hotspot, content type, and failure mode, then translate outputs into root-cause findings and prioritized recommendations.
Partner across ML, engineering, and design to define quality standards and communicate evaluation results clearly to both technical and non-technical audiences.

Minimum qualifications

Education: MS
Experience: Minimum 5 years of relevant industry experience
5+ years of experience in data science, machine learning evaluation, algorithm analysis, or related technical disciplines
Experience designing and analyzing evaluations and experiments for ML or generative model quality, including sampling design, significance testing, and confidence intervals
Strong Python skills and comfort with SQL, with the ability to build and maintain evaluation pipelines and small tools
Familiarity with AI-assisted analysis workflows, foundation models, agentic systems, or intelligent automation approaches for technical problem solving

Technologies you may work with

Python, SQL
LLM-as-judge systems, LLMs, VLM
3D Gaussian splats, diffusion models

Preferred qualifications

Experience evaluating 3D Gaussian splats or diffusion models, or assessing perceptual quality
Experience building LLM or VLM judges and validating them against human ratings
Experience building web-based labeling or review tools
Ability to run several work streams in parallel and prioritize them
Proven cross-functional collaboration and the ability to learn new tools quickly
Strong written and verbal communication, including explaining statistical tradeoffs to engineers and product partners

Location and compensation

Location: Sunnyvale, CA (onsite)
Salary: USD 184,700 - 324,800 per year

Benefits

Discretionary employee stock programs (Apple shareholder opportunity)
Discretionary restricted stock unit awards
Employee Stock Purchase Plan (purchase Apple stock at a discount, if voluntarily participating)
Comprehensive medical and dental coverage
Retirement benefits
Range of discounted products and free services
Reimbursement for certain educational expenses, including tuition
Discretionary bonuses or commission payments as well as relocation (may be eligible)
Base pay range between $184,700 and $324,800 (depends on skills, qualifications, experience, and location)

Note: Apple benefit, compensation and employee stock programs are subject to eligibility requirements and other terms of the applicable plan or program.

View full job page →

5d ago

Senior Clinical Data Scientist

Intuitive Surgical Sunnyvale, CA

Sunnyvale, CA

5d ago

$152k - $257k/yr Full time Senior Business Intelligence Clinical Data Science

Apply Now

Job Description

The Senior Clinical Data Scientist will join the Ion business unit at Intuitive Surgical, translating clinical questions into rigorous, data-driven analyses. The work supports product strategy, evidence generation, and business decision-making by combining clinical science with advanced analytics.

Role Overview

In this onsite role in Sunnyvale, CA, the Senior Clinical Data Scientist partners with clinical and business stakeholders to identify data needs and shape them into prioritized research questions with testable hypotheses. Analyses will be applied across device logs, clinical studies and registries, insurance claims databases, and EHR/EMR data, with results communicated to technical peers, senior leadership, and external physicians.

Key Responsibilities

Collaborate with internal and external stakeholders, including clinicians, administrators, and policymakers, to identify clinical data needs and translate them into prioritized research questions with testable hypotheses.
Design, implement, and validate quantitative analyses in Python or R, applying statistical, machine learning, and causal inference methods to test hypotheses using Ion device logs, clinical studies/registries, insurance claims, and EHR/EMR data.
Turn analysis findings into decision-useful narratives tailored to multiple audiences, including technical teams, senior leaders, and external physicians focused on efficiency improvements.
Demonstrate impact through internal and external reporting, presentations, dashboards, peer-reviewed publications, and customer-facing deliverables.
Partner with cross-functional teams to support global clinical and economic evidence strategies, including designing and supporting clinical trials.
Support regulatory submissions by structuring and validating clinical datasets aligned to FDA and EU MDR compliance standards.
Create and maintain organized, reproducible codebases with clear documentation, version control, and consistent coding standards.
Champion data-driven culture internally to generate evidence that supports building a better product.

Required Qualifications

6+ years of experience with a Master's degree or 4+ years of experience with a PhD in a quantitative, scientific, or engineering field (e.g., biostatistics, epidemiology, data science, computer science, biomedical engineering, public health, or related disciplines).
MD with quantitative research experience accepted.
Experience using Python or R for data analysis, statistical modeling, and visualization.
Working knowledge of SQL for querying and managing structured datasets.
Demonstrated experience with causal inference methods and study design.
Experience working with device-generated log data, clinical study/registry data, and claims/EHR-style databases.
Experience applying causal inference in a healthcare or medical device context.
Experience using platforms such as Snowflake or Databricks for production-level data pipelines and analytics.
Experience with Tableau or similar tools for presenting complex data to non-technical stakeholders or regulatory bodies.
Experience with Electronic Data Capture (EDC) systems (e.g., Medrio) for managing clinical study/registry data.
Experience using AI/ML tools to accelerate software development and data analysis workflows.

Preferred Skills and Experience

Strong critical thinking and analytical skills, including the ability to frame ambiguous clinical questions as testable hypotheses and select appropriate methods.
Strong organization skills, especially around code management and documentation.
Ability to collaborate across functions, including clinicians, engineers, regulatory, commercial, and data science partners.
Self-starter mindset with capability to manage multiple priorities, operate independently, and deliver under ambiguity.
Peer-reviewed publications or conference presentations in clinical research or data science.
Experience in medical devices or other regulated industries.
Familiarity with Good Clinical Practice (GCP), ISO 14155, and data privacy regulations (HIPAA/GDPR).
Familiarity with the lung cancer landscape (screening, diagnosis, treatment).

Technologies

Python
R
SQL
Snowflake
Databricks
Tableau
Electronic Data Capture (EDC) systems
Medrio
AI/ML tools

Location, Schedule, and Compensation

Location: Sunnyvale, CA, United States (onsite)
Shift: Day
Workplace type: Purposeful Onsite, requiring onsite presence for leader-defined events and activities, which could be monthly or annually; onsite frequency may increase based on business need.
Salary: USD 152,000 to 257,200 per year
Base compensation ranges: Region 1: $178,800 to $257,200; Region 2: $152,000 to $218,600

Additional Information

Due to the nature of the business and the role, Intuitive and/or its customer(s) may require proof of current vaccination against certain diseases, including COVID-19.
Intuitive is an Equal Opportunity Employer.
U.S. Export Controls Disclaimer: certain roles may be subject to U.S. export controls for prospective employees who are nationals from countries on embargo or sanctions status. For export-control subject roles, final offers depend on obtaining an approved export license and/or executing a TCP before the candidate’s start date.
Qualified applicants with arrest and conviction records will be considered in accordance with fair chance laws.
Preference may be given to qualified candidates who do not reside, or plan to reside, in Alabama, Arkansas, Delaware, Florida, Indiana, Iowa, Louisiana, Maryland, Mississippi, Missouri, Oklahoma, Pennsylvania, South Carolina, or Tennessee.
This position may be filled at a different job level based on business need and/or the selected candidate’s experience, knowledge, and skills.
Compensation will be based primarily on the job level at which the role is filled and the candidate’s qualifications, consistent with applicable law.
Accommodation & Accessibility Notice: contact People Services at HRHelpNow@intusurg.com for assistance or an accommodation during the application or interview process.