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software engineer intern

Amazon.com

<div><h2 class="jobSectionHeader">DESCRIPTION</h2><div>
Application deadline: Applications will be accepted on an ongoing basis 
 
This opportunity is for U.S. citizens who have served in the U.S. Armed Forces including Reserves, National Guard, and service member spouses.
 
 
<ul><li>Please list your service in your resume to be considered for this position.</li></ul> 
Do you want to solve real customer problems through innovative technology? Do you enjoy working on scalable services in a collaborative team environment? Do you want to see your code directly impact millions of customers worldwide? 
 
At Amazon, we hire the best minds in technology to innovate and build on behalf of our customers. Customer obsession is part of our company DNA, which has made us one of the world's most beloved brands. 
 
Our SDE interns use modern technology to solve complex problems while seeing their work's impact first-hand. The challenges SDE interns solve at Amazon are meaningful and influence millions of customers, sellers, and products globally. We seek individuals passionate about creating new products, features, and services while managing ambiguity in an environment where development cycles are measured in weeks, not years.
 
 
At Amazon, we believe in ownership at every level. As a SDE intern, you'll own the entire lifecycle of your code - from design through deployment and ongoing operations. This ownership mindset, combined with our commitment to operational excellence, ensures we deliver the highest quality solutions for our customers. 
 
We're looking for curious minds who think big and want to define tomorrow's technology. At Amazon, you'll grow into the high-impact engineer you know you can be, supported by a culture of learning and mentorship. Every day brings exciting new challenges and opportunities for personal growth. 
 
Amazon internships across all seasons are full-time positions, and interns should expect to work in office, Monday-Friday, up to 40 hours per week typically between 8am-5pm. Specific team norms around working hours will be communicated by your manager. Interns should not have conflicts such as classes or other employment during the Amazon work-day. Applicants should have a minimum of one quarter/semester/trimester remaining in their studies after their internship concludes. 
 
We will take your location preferences into consideration. Preferences are based on business availability and are not guaranteed. Applicants will be considered at all locations we host interns in the United States including but not limited to:
 
 
<ul><li>CA (Culver City, San Francisco, Santa Clara, Sunnyvale)
</li><li>CO (Denver)
</li><li>MA (Boston)
</li><li>NJ (Jersey City)
</li><li>NY (New York)
</li><li>VA (Arlington)
</li><li>WA (Bellevue, Seattle, Redmond)
</li></ul>***Locations are subject to change*** 
 
During your application, you will have the opportunity to highlight your expertise in one or more of these specialized areas: 
 
&bull; Machine Learning &bull; Distributed Systems and Data Management &bull; Database Systems &bull; Quantum Computing &bull; Network Development &bull; Query Processing and Optimization &bull; Automated Reasoning &bull; Embedded Systems &bull; Data Engineering &bull; Mobile Development &bull; Game Development 
 
While team placement is based on business needs, sharing your specific skills and interests helps us better align your experience with potential roles. 
 
Key job responsibilities 
<ul><li>Collaborate and communicate effectively with experienced cross-disciplinary Amazonians to design, build, and operate innovative products and services that delight our customers, while participating in technical discussions to drive solutions forward.</li><li>Design and develop scalable solutions using cloud-native architectures and microservices in a large distributed computing environment.</li><li>Participate in code reviews and contribute to technical documentation.</li><li>Build and maintain resilient distributed systems that are scalable, fault-tolerant, and cost-effective.</li><li>Leverage and contribute to the development of GenAI and AI-powered tools to enhance development productivity while staying current with emerging technologies.
</li><li>Write clean, maintainable code following best practices and design patterns.</li><li>Work in an agile environment practicing CI/CD principles while participating in operational responsibilities.</li><li>Demonstrate operational excellence through monitoring, troubleshooting, and resolving production issues.</li></ul> 
A day in the life 
As an intern, you will be matched to a manager and a mentor and will have the opportunity to influence the evolution of Amazon technology and lead critical projects early in your career.
 
 
In addition to working on an impactful project, you will have the opportunity to engage with Amazonians for both personal and professional development, expand your network, and participate in activities with other interns throughout your internship. No matter the location of your internship, we give you the tools to own your project and learn in a real-world setting.</div><h2 class="jobSectionHeader"> 
BASIC QUALIFICATIONS</h2><ul><li>Are enrolled in a Bachelor's degree or above in Computer Science, Computer Engineering, Data Science, Information Systems, or related STEM fields</li><li>Expected conferral date between October 2026 &ndash; September 2029</li></ul><h2 class="jobSectionHeader">
PREFERRED QUALIFICATIONS</h2><ul><li>Experience with at least one general-purpose programming language such as Java, Python, C++, C#, Go, Rust, or TypeScript</li><li>Experience with data structure implementation, basic algorithm development, and/or object-oriented design principles</li><li>Experience from previous technical internship(s) or demonstrated project experience</li><li>Demonstrated ability to learn and adapt to new technologies quickly</li><li>Basic understanding of software development lifecycle (SDLC)</li><li>Strong problem-solving and analytical skills</li><li>Excellent written and verbal communication skills</li></ul> 
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. 
 
Los Angeles County applicants: Job duties for this position include: 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; and 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. These include the duties and responsibilities listed above, as well as the abilities 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&rsquo;s reputation. Pursuant to the Los Angeles County Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records. 
 
Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records. 
 
Our inclusive culture empowers Amazonians to deliver the best results for our customers. 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, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you&rsquo;re applying in isn&rsquo;t listed, please contact your Recruiting Partner. 
The starting pay for this position is listed below. Final starting pay will be based on factors including experience, qualifications, and location. Starting Day 1 of employment, Amazon offers EAP, Mental Health Support, Medical Advice Line, 401(k) matching. Learn more about our benefits at https://hiring.amazon.com/why-amazon/benefits. 
USA, CA, SAN FRANCISCO - 127,100.00 - 185,000.00 USD annually 
USA, CA, San Francisco - 127,100.00 - 185,000.00 USD annually 
USA, CA, Santa Clara - 122,600.00 - 170,000.00 USD annually 
USA, CA, Santa Clara - 127,100.00 - 185,000.00 USD annually 
USA, CO, DENVER - 110,500.00 - 160,000.00 USD annually 
USA, CO, Denver - 110,500.00 - 160,000.00 USD annually 
USA, MA, BOSTON - 110,500.00 - 160,000.00 USD annually 
USA, MA, Boston - 110,500.00 - 160,000.00 USD annually 
USA, NJ, Jersey City - 121,600.00 - 180,600.00 USD annually 
USA, NY, BROOKLYN - 121,600.00 - 180,600.00 USD annually 
USA, NY, Carle Place - 121,600.00 - 180,600.00 USD annually 
USA, NY, New York - 121,600.00 - 180,600.00 USD annually 
USA, VA, ARLINGTON - 110,500.00 - 160,000.00 USD annually 
USA, VA, Arlington - 110,500.00 - 160,000.00 USD annually 
USA, WA, Seattle - 110,500.00 - 160,000.00 USD annually</div>

Software Development Engineer Internship - Military Veteran

Vercel

<div></div><div><div><div><div><ul><li>Data</li><li>
Hybrid (San Francisco)</li><li>
Full Time</li></ul></div></div><div></div><div><div><h2 class="jobSectionHeader">
About Vercel:</h2>
Vercel gives developers the tools and cloud infrastructure to build, scale, and secure a faster, more personalized web. As the team behind v0, Next.js, and AI SDK, Vercel helps customers like Ramp, Supreme, PayPal, and Under Armour build for the AI-native web.
Our mission is to enable the world to ship the best products. That starts with creating a place where everyone can do their best work. Whether you're building on our platform, supporting our customers, or shaping our story: You can just ship things.</div><div></div><div><h2 class="jobSectionHeader">
About the Team</h2>
The Data Platform &amp; Engineering team builds and operates the infrastructure, systems, and data foundations that power decision-making and intelligent workflows across Vercel.
We design and maintain the data platform that enables analytics, experimentation, internal tooling, and emerging AI-powered agents. Our work provides the context and infrastructure behind company-wide interfaces, automation, and data-driven workflows.</div><div></div><div><h2 class="jobSectionHeader">
About the Role</h2>
We&rsquo;re looking for a Summer Intern to join the Data Platform &amp; Engineering team. This role is designed to flex across Data Platform Engineering and Data Engineering, depending on your strengths and interests.
You&rsquo;ll work on foundational systems that power company-wide agents, internal tools, analytics environments, and operational workflows. This is an opportunity to contribute to high-impact infrastructure and data products used across the organization.
You will:<ul><li>
Build and improve data pipelines using SQL and Python</li><li>
Contribute to the development and reliability of our data platform infrastructure</li><li>
Help design and model datasets that power analytics, internal tools, and AI-driven workflows</li><li>
Improve data quality, observability, and governance across systems</li><li>
Support the infrastructure and contextual data layers that enable company-wide agents and interfaces</li><li>
Partner with engineering, product, finance, and operations stakeholders to translate business needs into scalable data solutions</li></ul>
Depending on your focus, projects may lean more toward:<ul><li>
Data Engineering: modeling, transformation, orchestration, analytics enablement</li><li>
Data Platform Engineering: infrastructure, tooling, performance optimization, developer experience for data systems</li></ul></div><div></div><div><h2 class="jobSectionHeader">
What We&rsquo;re Looking For</h2><ul><li>
Currently pursuing a BS or MS in Computer Science, Data Science, or a related technical field</li><li>
Strong proficiency in SQL and Python</li><li>
Solid understanding of data modeling principles and relational databases</li><li>
Familiarity with data pipelines, ETL/ELT concepts, or workflow orchestration</li><li>
Comfort working in a collaborative, fast-moving engineering environment</li><li>
Strong problem-solving skills and attention to detail</li><li>
Based in SF/Bay Area &amp; open to commuting to SFHQ 2-3 days a week</li></ul>
Nice to Have:<ul><li>
Experience with modern data stack tools (e.g., dbt, Airflow, Snowflake, BigQuery, etc.)</li><li>
Exposure to cloud infrastructure (AWS, GCP, or similar)</li><li>
Experience working with large datasets or analytics systems</li><li>
Interest in AI/ML systems or agent-based workflows</li></ul></div><div></div><div><h2 class="jobSectionHeader">
What You&rsquo;ll Gain</h2><ul><li>
Real-world experience building production-grade data infrastructure</li><li>
Exposure to modern data platform architecture at scale</li><li>
The opportunity to shape systems that power decision-making and AI-driven workflows across Vercel</li><li>
Mentorship from experienced data and platform engineers</li><li>
A meaningful, scoped project with measurable impact</li></ul></div></div></div></div>

Data Platform & Engineering Intern

Twitch

<div>
 
 About Us
 
 
 
 Twitch is the world&rsquo;s biggest live streaming service, with global communities built around gaming, entertainment, music, sports, cooking, and more. It is where thousands of communities come together for whatever, every day.
 
 
 We&rsquo;re about community, inside and out. You&rsquo;ll find coworkers who are eager to team up, collaborate, and smash (or elegantly solve) problems together. We&rsquo;re on a quest to empower live communities, so if this sounds good to you, see what we&rsquo;re up to on LinkedIn and X, and discover the projects we&rsquo;re solving on our Blog. Be sure to explore our Interviewing Guide to learn how to ace our interview process.
 
 
 
 About The Role
 
 
 
 We are seeking Software Development Engineers to join our Video Platform team. This team is responsible for building and maintaining the systems that ensure that Twitch can deliver the best possible video experience to Viewers and Creators. You will be part of a larger team of Software Developers and partner with Product Managers, Technical Program Managers and other engineering teams from across the business.
 
 
 You can work in San Francisco, CA or Irvine, CA.
 
 
 
 You Will:
 
 
 
 
 <ul>
 <li>
 Build and maintain the services that power Twitch&rsquo;s video platform
 </li>
 <li>
 Collaborate effectively with product managers, program managers and other engineering teams at Twitch
 </li>
 <li>
 Contribute positively to Twitch&rsquo;s engineering culture
 
 
 
 </li>
 </ul>
 
 You Have:
 
 
 
 
 <ul>
 <li>
 1+ years of experience developing software in a professional environment
 </li>
 <li>
 Proficient coding skills in modern languages and frameworks
 </li>
 <li>
 Proven ability with algorithms, data structures, data modeling, and schema design
 </li>
 <li>
 Minimum of Bachelor&rsquo;s degree in Computer Science or equivalent experience
 
 
 
 </li>
 </ul>
 
 Bonus Points
 
 
 
 
 <ul>
 <li>
 Experience with languages/frameworks we use at Twitch: Golang, Typescript/React
 </li>
 <li>
 Familiarity with video delivery concepts and systems
 </li>
 <li>
 Familiarity with AWS&rsquo; Interactive Video Service
 </li>
 <li>
 Familiarity with Twitch, gaming, and/or streaming on Twitch
 
 
 
 </li>
 </ul>
 
 Perks
 
 
 
 
 <ul>
 <li>
 Medical, Dental, Vision &amp; Disability Insurance
 </li>
 <li>
 401(k)
 </li>
 <li>
 Maternity &amp; Parental Leave
 </li>
 <li>
 Flexible PTO
 </li>
 <li>
 Amazon Employee Discount
 
 
 
 </li>
 </ul>
 
 Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.
 
 
 
 
 Pursuant to the Los Angeles Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.
 
 
 
 Job ID: TW8977
 
 
 
 Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from our lowest geographic market up to our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. This position will remain open until filled. For more information, please visit https://www.twitch.tv/jobs/en/#learn-more. Applicants should apply via our internal or external career site.
 
 
 
 US Pay Per Year
 
 
 $99,500&mdash;$200,000 USD
 
 
 
 Twitch is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.
 
 
 
 
 Twitch values your privacy. Please consult our Candidate Privacy Notice, for information about how we collect, use, and disclose personal information of our candidates.
 
</div>

Software Engineer I

SmithRx

<div>
 
 Who We Are:
 
 
 
 SmithRx is a rapidly growing, venture-backed Health-Tech company. Our mission is to disrupt the expensive and inefficient Pharmacy Benefit Management (PBM) sector by building a next-generation drug acquisition platform driven by cutting edge technology, innovative cost saving tools, and best-in-class customer service. With hundreds of thousands of members onboarded since 2016, SmithRx has a solution that is resonating with clients all across the country.
 
 
 We pride ourselves for our mission-driven and collaborative culture that inspires our employees to do their best work. We believe that the U.S healthcare system is in need of transformation, and we come to work each day dedicated to making that change a reality. At our core, we are guided by our company values:
 
 
 <ul>
 <li>
 
 Integrity:
 
 Our purpose guides our actions and gives us confidence in the path ahead. With unwavering honesty and dependability, we embrace the pressure of challenging the old and exemplify ethical leadership to create the new.
 </li>
 <li>
 
 Courage:
 
 We face continuous challenges with grit and resilience. We embrace the discomfort of the unknown by balancing autonomy with empathy, and ownership with vulnerability. We boldly challenge the status quo to keep moving forward&mdash;always.
 </li>
 <li>
 
 Together:
 
 The success of SmithRx reflects the strength of our partnerships and the commitment of our team. Our shared values bind us together and make us one. When one falls, we all fall; when one rises, we all rise.
 
 
 </li>
 </ul>
 
 Job Summary:
 
 
 
 The engineering team at SmithRx is developing a next-generation pharmacy benefits management (PBM) platform that is changing how companies administer and manage pharmacy benefits. Our unified technology platform provides real-time, actionable insights that drive cost savings, power clinical services, and result in a brilliant customer experience. A unified technology platform of this caliber does not exist elsewhere in the pharmacy benefit ecosystem to programmatically solve widespread deficiencies. The result is a PBM delivering unmatched service quality and operational efficiencies that exceed all industry standards.
 
 
 This role is part of the Drug Access team within the Application Engineering organization, which owns and operates our backend data for managing first-party (1P) and third-party (3P) drug data. You will play a key role in the entire engineering lifecycle&mdash;from coding and build to testing and maintaining our SmithRx product suite. You will contribute to best practices, coding standards. We need our engineers to be versatile and driven, display leadership and ownership qualities, and be enthusiastic about taking on new challenges across the full-stack as we continue to push technology forward.
 
 
 
 What you will do:
 
 
 
 <ul>
 <li>
 Full-Stack Development: Focus on our back-end and front-end codebase to develop and maintain SmithRx product features using Golang, GraphQL, SQL, React, JavaScript/TypeScript, Node, and Java.
 </li>
 <li>
 Collaborate: Work with technical leads to understand functional and technical requirements to produce high-quality, scalable software.
 </li>
 <li>
 Learn and Apply Best Practices: Study and apply software development best practices, design patterns, and modern tools across every project.
 </li>
 <li>
 Extend the Platform: Leverage frameworks such as GraphQL, React, and GORM to expand the capabilities of our platform.
 </li>
 <li>
 Cloud Infrastructure: Learn to effectively use AWS technologies at production scale, including Lambda and Fargate, to handle various job types and batch processing.
 </li>
 <li>
 Quality Assurance: Ensure code is fully tested end-to-end, maintains high code coverage, and that all features are thoroughly documented.
 </li>
 <li>
 Production Support: Quickly learn to troubleshoot production issues by performing triage, assessing impact, executing mitigation plans, and performing root cause analysis to prevent recurrence.
 </li>
 <li>
 Culture of Learning: Contribute to a collaborative culture through code reviews and the exploration of new technologies.
 </li>
 <li>
 AI Innovation: Actively seek out and share new AI tools and technologies to improve software delivery speed and quality.
 
 
 </li>
 </ul>
 
 What you will bring to SmithRx:
 
 
 
 <ul>
 <li>
 Education: BS in Computer Science or a related field.
 </li>
 <li>
 Experience: Recent college graduate or less than 2 years of professional software engineering experience.
 </li>
 <li>
 Background: Participation in coding competitions or fully released independent projects is a plus.
 </li>
 <li>
 Technical Expertise: Experience with a compiled language such as Go, Java, C#, or C++ (Go experience is a strong plus).
 </li>
 <li>
 Database Fundamentals: Ability to write effective and efficient queries with relational databases (specifically PostgreSQL), including basic schema design.
 </li>
 <li>
 API Design: A solid grasp of the fundamentals of designing and implementing scalable APIs, along with an understanding of design patterns and testing best practices.
 </li>
 <li>
 Cloud &amp; DevOps: A basic understanding of GraphQL APIs, CI/CD pipelines, AWS, Docker, and Kubernetes.
 </li>
 <li>
 AI Proficiency: Experience using GenAI tools to deliver high-quality, production-ready software is a plus; an understanding of the pitfalls and limitations of AI is a must.
 </li>
 <li>
 Soft Skills: A positive, non-dogmatic, team-first attitude with the flexibility to navigate ambiguity.
 
 
 </li>
 </ul>
 
 What SmithRx Offers You:
 
 
 
 <ul>
 <li>
 Highly competitive wellness benefits including Medical, Pharmacy, Dental, Vision, and Life Insurance and AD&amp;D Insurance
 </li>
 <li>
 Flexible Spending Benefits
 </li>
 <li>
 401(k) Retirement Savings Program
 </li>
 <li>
 Short-term and long-term disability
 </li>
 <li>
 Discretionary Paid Time Off
 </li>
 <li>
 Paid Company Holidays
 </li>
 <li>
 Wellness Benefits
 </li>
 <li>
 Commuter Benefits
 </li>
 <li>
 Paid Parental Leave benefits
 </li>
 <li>
 Employee Assistance Program (EAP)
 </li>
 <li>
 Well-stocked kitchen in office locations
 </li>
 <li>
 Professional development and training opportunities
 </li>
 </ul>
</div>

Software Engineer, New Grad (Recent 2025 Grads)

Giga

<div>
 
 About Giga
 
 
 
 Giga has recently raised a $61M Series A and has several paying customers, including DoorDash. We&rsquo;re building the next generation of customer experience &mdash; real-time AI agents that can understand emotion, resolve issues instantly, and scale across the world&rsquo;s largest enterprises.
 
 
 It&rsquo;s an exciting inflection point for the company. While we have been successful, we have larger ambitions. Our goal is to become the go-to AI platform for all enterprise automation, powered by our voice superintelligence. To achieve this, we need more great engineers.
 
 
 The work affects millions of people every day and our engineers have autonomy and make true impact. This opportunity is unique because we have brilliant founders, have found commercial success, and see a clear path to becoming a generational company. Some further info about us:
 
 
 <ul>
 <li>
 Voice AI startup Giga raises $61M Series A
 </li>
 <li>
 DoorDash and Giga Partnership
 
 
 </li>
 </ul>
 Giga builds AI agents trusted by the largest B2C companies in the world. Industry leaders like DoorDash trust Giga with their most complex support and operations workflows across voice, chat, and email. If being a part of this resonates with you, please apply!
 
 
 
 The Role
 
 
 
 We're looking for new grad engineers to help build the systems that power our AI agents. You'll work across the backend, from data pipelines and integrations to agent infrastructure, shipping features alongside experienced engineers.
 
 
 This is a role where you'll contribute to real problems from day one. We expect you to ramp up quickly, take ownership of your work, and operate with increasing independence as you learn the codebase.
 
 
 
 What You'll Work On
 
 
 
 You'll contribute to projects across our stack. Some examples:
 
 
 <ul>
 <li>
 Atlas: Building features for our AI assistant: charts and alerts in Slack, natural language queries, and expanding Atlas to manage platform resources
 </li>
 <li>
 Activity Stream: Log visualization with filters, timestamps, and frequency charts to give visibility into agent behavior
 </li>
 <li>
 Dynamic knowledge: Adding time-based knowledge (like ongoing incidents) that auto-updates from sources like status pages
 </li>
 <li>
 Agent memory: Conversation awareness and recent interaction lookups so agents remember context across sessions
 
 
 </li>
 </ul>
 You'll be paired with senior engineers on larger initiatives while also owning smaller projects end-to-end as you ramp up.
 
 
 
 You Might Be a Fit If You
 
 
 
 <ul>
 <li>
 Are graduating (or recently graduated) with a CS degree or equivalent background
 </li>
 <li>
 Have internship experience or significant projects where you wrote production-quality code
 </li>
 <li>
 Can take a problem, figure out an approach, and unblock yourself when you get stuck
 </li>
 <li>
 Prefer shipping over perfection but still care about quality
 </li>
 <li>
 Want to work at a startup where you'll have real responsibility early
 
 
 </li>
 </ul>
 
 Perks &amp; Benefits
 
 
 
 <ul>
 <li>
 Catered lunch daily
 </li>
 <li>
 Dinner stipend
 </li>
 <li>
 $150/month wellness benefit (gym, fitness classes, mental health)
 </li>
 <li>
 401(k) plan
 </li>
 <li>
 Commuter benefits
 </li>
 <li>
 Medical, dental, and vision coverage
 
 
 </li>
 </ul>
 Giga is an equal opportunity employer. We're committed to providing equal employment opportunities regardless of race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, veteran status, or any other characteristic protected by law.
 
 
 Compensation Range: $160K - $250K
 
 
</div>

Software Engineer (New Grads) - San Francisco

Uber

<div>We're looking for PhD candidates to work with the Competitive Intelligence Team as a Scientist intern during summer 2026 (12 weeks). As an intern, you will be embedded in a product team working on solving real-world Uber problems under the supervision of an analyst on that team, and will have the opportunity to partner closely with Scientists, Software Engineers, Product Managers, and other cross-functional partners.
 
 
About the Role
 
 
The Competitive Intelligence team works to understand the strategy and performance of Uber and other companies with similar products through a combination of external and internal data. Uber operates in a diverse array of markets and product categories filled with rapidly evolving competing options; assessing the success or failure of a product or strategy depends on understanding this context. Doing this, and doing it well, is an interesting and challenging problem. The team uses its data analysis, statistical modeling, economics, and business expertise to build scalable data products and ship actionable insights.
 
 
We are looking for candidates passionate about solving new and difficult problems with data. You will build out and own competitive metrics/models, provide key insights, conduct deep dive analysis to understand new opportunities and empower teams to make more informed business and strategy decisions with competitive intelligence.
 
 
What You'll Do
<ul><li>Work with a mentor closely to define a business problem, scope a project, develop, and prototype the solution using data-driven approaches
</li><li>Work with engineers and product managers to turn prototypes into scalable solutions
</li><li>Present findings to leaders to inform decisions
</li><li>Establish standard methodologies for science such as modeling, coding, analytics, optimization, and experimentation
</li></ul>Basic Qualifications
<ul><li>Pursuing a Ph.D. majoring in Statistics, Machine Learning, Economics, or other related quantitative fields
</li><li>Candidates should have at least one semester/quarter left of their education after finishing the internship
</li><li>Strong problem-solving and analytical abilities
</li></ul>Preferred Qualifications
<ul><li>Coding proficiency in areas such as R, Spark, SQL, Python
</li><li>Background in data visualization via open-source libraries/packages or third-party tools (i.e. Tableau, Mixpanel, Looker, or similar)
</li><li>Knowledge of underlying mathematical foundations of statistics, machine learning, optimization, stochastic processes, economics, and analytics
</li><li>Experience in the following areas: Exploratory Data Analysis, Statistical Analysis, ML Model Development, Competitive Intelligence, Causal Inference, Operations Management, Transportation
</li><li>0-2 years of prior work experience in an analytical setting
</li><li>Organized, detail-oriented and able to work independently on multiple projects at once
</li><li>Ability to communicate effectively with both technical and business partners
</li><li>Open to feedback, excellent at implementing newly learned ideas and concepts
</li><li>Research mentality with a bias towards action to structure a project from idea to prototype to implementation
</li>Independence, self-starter mindset, excellent communication, and outstanding follow-through - you energetically tackle your work and love the responsibility of being individually empowered 
<li>
</li></ul> 
 
For San Francisco, CA-based roles: The base hourly rate amount for this role is USD$67.00 per hour. For Seattle, WA-based roles: The base hourly rate amount for this role is USD$67.00 per hour. For Sunnyvale, CA-based roles: The base hourly rate amount for this role is USD$67.00 per hour. For all US locations, you will also be eligible for various benefits.</div>

2026 PhD Scientist Intern (Competitive Intelligence)

Mechanize

Mechanize builds RL environments that teach AI models to perform real-world work. Our goal is to enable the full automation of the economy. We sell to the leading AI labs. Learn more at mechanize.work.Software engineers at Mechanize create RL environments to sell to the leading AI labs. You might be a good fit if you are about to graduate university, or have 0-2 years of experience as a software engineer and can code in python.No prior machine learning or AI experience is required.Read about how our interview process works here: https://www.mechanize.work/how-our-interview-process-works/Job Type: Full-timePay: $300,000.00 per yearWork Location: In person

Junior Software Engineer

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