data scientist

ai/ml modeling engineer ii (intern)- united states Jobs in San Francisco United States

2026 phd scientist intern (competitive intelligence) Jobs in San Francisco United States

ai/machine learning engineer intern Jobs in San Francisco United States

ai/machine learning engineer intern

ai/ml engineer Jobs in San Francisco United States

ai/ml engineer

2026 phd scientist intern competitive intelligence

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)

OpenAI

<div>
 
 About The Team
 
 
 
 The Strategic Finance team is responsible for some of the largest investment categories at OpenAI. We play a critical role in maximizing OpenAI&rsquo;s long-term value by partnering across the business to allocate and deploy resources for the highest-impact outcomes. We work cross-functionally with Finance, Product, Engineering, and Go-To-Market teams to deliver actionable insights and support strategic decision-making.
 
 
 
 About The Role
 
 
 
 As one of the founding Data Scientists on the Strategic Finance Data Science team, you will design, implement, and own critical models, reporting, and analysis. You will work closely with Finance leadership, as well as teams across Research, Applied and Go-To-Market.
 
 
 This role requires deep expertise in predictive modeling, causal inference, and the ability to surface insights to support high-stakes decision-making.
 
 
 This role is based in our San Francisco HQ. We use a hybrid work model of three days in the office per week and offer relocation assistance to new employees.
 
 
 
 In This Role, You Will
 
 
 
 <ul>
 <li>
 Become an expert in OpenAI&rsquo;s data and systems. Partnering with Data Engineering, Finance, and other teams, you&rsquo;ll self-serve data to derive critical insights.
 </li>
 <li>
 Scale causal inference models to measure the impact of different actions on user growth and financial outcomes.
 </li>
 <li>
 Architect customer segmentation frameworks to unlock tailored growth strategies and expand lifetime value.
 </li>
 <li>
 Automate standardized reporting and analysis by building data products or agentic solutions.
 </li>
 <li>
 Support product pricing and other business decisions with ad hoc analysis.
 </li>
 <li>
 Design and deliver dashboards for leadership to track key performance indicators and enable optimal decision-making.
 </li>
 <li>
 Manage and lead cross-functional data science projects end-to-end.
 
 
 </li>
 </ul>
 
 You Might Thrive In This Role If You Have
 
 
 
 <ul>
 <li>
 MS or PhD in a quantitative field, with 7+ years of experience in a highly quantitative role, ideally as an early data scientist at a hyper-growth company or research organization.
 </li>
 <li>
 Proficiency in Python, SQL, Tableau, and other analytical tools.
 </li>
 <li>
 Strong analytical skills and experience working with large, complex data sets.
 </li>
 <li>
 Proven ability to distill complex data into actionable insights for leadership.
 </li>
 <li>
 Ability to independently initiate and complete projects, owning them end-to-end.
 </li>
 <li>
 Excellent communication and storytelling skills when presenting data insights.
 </li>
 <li>
 Exceptional attention to detail and a commitment to accuracy.
 
 
 </li>
 </ul>
 
 You Could Be An Especially Great Fit If
 
 
 
 <ul>
 <li>
 You&rsquo;re an enthusiastic self-starter who thrives in fast-paced, dynamic environments.
 </li>
 <li>
 You&rsquo;re a phenomenal teammate and communicator, able to explain complex topics with clarity and keep stakeholders proactively informed.
 </li>
 <li>
 You&rsquo;re passionate about technology and artificial intelligence.
 </li>
 <li>
 You use first-principles thinking to design solutions from the ground up based on user needs and operational realities.
 
 
 </li>
 </ul>
 
 About OpenAI
 
 
 
 OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity.
 
 
 We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic.
 
 
 For additional information, please see OpenAI&rsquo;s Affirmative Action and Equal Employment Opportunity Policy Statement.
 
 
 Background checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered for employment consistent with those laws, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act, for US-based candidates. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary, confidential, and non-public information. In addition, job duties require access to secure and protected information technology systems and related data security obligations.
 
 
 To notify OpenAI that you believe this job posting is non-compliant, please submit a report through this form. No response will be provided to inquiries unrelated to job posting compliance.
 
 
 We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this link.
 
 
 OpenAI Global Applicant Privacy Policy
 
 
 At OpenAI, we believe artificial intelligence has the potential to help people solve immense global challenges, and we want the upside of AI to be widely shared. Join us in shaping the future of technology.
 
 
 Compensation Range: $230K - $385K
</div>

Data Scientist

Tatari

<div>
 Tatari is on a mission to revolutionize TV advertising. Founded in 2016 to help transform the antiquated world of TV advertising through the intelligent application of AI and machine learning, Tatari helps some of the world&rsquo;s fastest growing brands including
 
 Chime, Calm, Tecovas, Manscaped, Saatva, and Liquid I.V
 
 ., reach their customers using linear and streaming TV ads. Our platform combines sophisticated media buying with proprietary analytics to turn TV advertising into an automated, digital-like experience, enabling businesses of any size to advertise on TV.
 
 
 That approach has earned Tatari broad industry recognition, including being named Best CTV AdTech Platform in the 8th annual
 
 MarTech Breakthrough Awards
 
 , as well as honors from
 
 Digiday
 
 (Best Connected TV Platform),
 
 AdExchanger
 
 (Most Innovative TV Advertising Technology), and
 
 Business Insider
 
 (Hottest AdTech Companies). Tatari has also been recognized as the Best Place to Work by
 
 Inc. Magazine
 
 . Backed by an executive team of former founders and senior leaders from companies including Shazam, TrueCar, AdapTV, LiveRail, Amazon, Google, Meta, Microsoft, and Yahoo, Tatari continues to scale rapidly as TV advertising enters its next major era.
 
 
 We&rsquo;re looking for a full-time data scientist intern to join us for the summer of 2026. In this role, you will work in a fast-paced environment with diverse data sets and technologies to build production quality, scalable and automated solutions for a diverse set of challenging data problems. Under the guidance of our Senior Data Scientists, you will have the freedom to utilize the latest technologies to solve challenging problems, create innovative applications from the ground up, and understand exactly what it takes to create a reliable online experience for our customers. This role collaborates closely with our technology teams to provide profound insights from your analysis, and optimize our business, with the ultimate goal of helping Tatari redefine the TV ad buying experience.
 
 
 
 What You'll Do:
 
 
 
 <ul>
 <li>
 Explore and build data science solutions (e.g., advanced analytics, algorithms, or models) to support measurement or optimization of TV advertising performance
 </li>
 <li>
 Analyze large datasets to generate insights that improve product features or drive better outcomes for clients
 </li>
 <li>
 Collaborate with Data Science and cross-functional partners (Engineering, Product, and Client Services) to gather requirements, review results, and deliver on project goals
 </li>
 <li>
 Present findings and recommendations clearly to technical and non-technical stakeholders across the company
 
 
 </li>
 </ul>
 
 Qualifications:
 
 
 
 <ul>
 <li>
 Currently enrolled in a graduate program in any of the named fields (Data Science, Statistics, Computer Science, Mathematics, Physics, or other STEM field)
 </li>
 <li>
 You are eligible to work full-time from late-May through early August.
 </li>
 <li>
 You have not yet graduated, and you will be continuing with school after this internship
 </li>
 <li>
 Strong interest in designing, and developing analytics and predictive modeling
 </li>
 <li>
 Experience with or interest in Data Manipulation Software (e.g., SQL, Python, Pandas)
 </li>
 <li>
 A quick learner, with the ability to work independently in a fast-paced environment; adaptability and a strong self-teaching ethic are highly valued
 </li>
 <li>
 Strong strategic thinking capabilities
 </li>
 <li>
 Interest to learn to manipulate, analyze, and interpret large amounts of data and to organize findings and translate into actionable insights using original or innovative techniques
 </li>
 <li>
 Knowledge of statistics and probability, particularly their application in systems analysis and operations research
 </li>
 <li>
 Nice to have: experience building and optimizing machine learning models
 </li>
 <li>
 Nice to have: experience with collaborate software engineering use git/GitHub
 
 
 </li>
 </ul>
 
 Benefits + Perks:
 
 
 
 <ul>
 <li>
 Competitive salary ($35.00 - $45.00 hourly)
 </li>
 <li>
 You can pick where you want to be for the summer: San Francisco, Los Angeles, and New York City!
 </li>
 <li>
 Hybrid schedule: 2-3 days per week
 </li>
 <li>
 Snacks, drinks, and catered lunches at the office
 </li>
 <li>
 Team building events
 
 
 </li>
 </ul>
 At Tatari, we believe in the importance of cultivating teams with diverse backgrounds and offering equal opportunities to all. We strive to create a welcoming, inclusive environment where every team member feels valued and diversity is celebrated.
 
 
</div>

Data Science, Intern

Braze

<div>
 At Braze, we have found our people. We&rsquo;re a genuinely approachable, exceptionally kind, and intensely passionate crew.
 
 
 We seek to ignite that passion by setting high standards, championing teamwork, and creating work-life harmony as we collectively navigate rapid growth on a global scale while striving for greater equity and opportunity &ndash; inside and outside our organization.
 
 
 To flourish here, you must be prepared to set a high bar for yourself and those around you. There is always a way to contribute: Acting with autonomy, having accountability and being open to new perspectives are essential to our continued success.
 
 
 Our deep curiosity to learn and our eagerness to share diverse passions with others gives us balance and injects a one-of-a-kind vibrancy into our culture.
 
 
 If you are driven to solve exhilarating challenges and have a bias toward action in the face of change, you will be empowered to make a real impact here, with a sharp and passionate team at your back. If Braze sounds like a place where you can thrive, we can&rsquo;t wait to meet you.
 
 
 
 What You'll Do
 
 
 
 As our customer base continues to grow with the excitement around BrazeAI, we&rsquo;re expanding our team! Join our Forward-Deployed Data Scientist group of creative technical experts who partner with customers to ensure their success. In this role, you will:
 
 
 <ul>
 <li>
 Collaborate with customer Analytics/BI teams and Braze colleagues on implementations, including use case definition, data integration, pipeline setup, and ML model configuration
 </li>
 <li>
 Extend product capabilities by improving architecture and developing reusable data pipelines, APIs, and components
 </li>
 <li>
 Work closely with the RL pipeline development team to refine and advance our reinforcement learning (self-learning) algorithms
 </li>
 <li>
 Contribute to shaping BrazeAI product strategy and roadmap through customer-facing insights and technical expertise
 </li>
 <li>
 Provide ongoing technical expertise to ensure successful adoption, measurable outcomes, and long-term customer success
 
 
 </li>
 </ul>
 
 Who You Are
 
 
 
 <ul>
 <li>
 Education: Bachelor&rsquo;s degree in Computer Science, Data Science, Mathematics, Engineering, or a related field required; Master&rsquo;s or PhD in a relevant technical discipline preferred
 </li>
 <li>
 Experience: 3&ndash;5+ years of hands-on experience as a Data Scientist, Machine Learning Engineer, or similar role working with large-scale data and production environments. Experience in customer-facing or consulting roles is strongly preferred
 </li>
 <li>
 Strong technical expertise: Proficient in Python (Pandas) and core ML libraries (TensorFlow, Keras, scikit-learn, CatBoost, XGBoost). Skilled in SQL for querying/manipulating datasets, with experience in machine learning pipelines and model deployment
 </li>
 <li>
 Engineering best practices: You write well-structured, modular, documented code; follow strong development practices (Git, CI/CD, testing frameworks, type-hinting, code reviews); and can build scalable, maintainable solutions
 </li>
 <li>
 Nice-to-have skills: Experience with DevOps tools (Airflow, Kubernetes, Terraform, GCP), data integration/ETL and pipeline optimization, or reinforcement learning algorithms
 </li>
 <li>
 Customer collaborator: Comfortable working directly with clients and cross-functional teams, aligning stakeholders, and translating technical concepts into clear business value
 </li>
 <li>
 Entrepreneurial problem-solver: You identify opportunities and risks early, troubleshoot obstacles, and drive creative solutions
 </li>
 <li>
 Continuous learner: You stay current with industry trends, explore new tools/technologies, and thrive in environments that push you to grow
 </li>
 <li>
 Clear communicator: Able to explain complex technical ideas persuasively to both technical and non-technical audiences
 
 
 </li>
 </ul>
 For candidates based in the United States, the pay range for this position at the start of employment is expected to be between $124,200 - $148,500/year with an expected On Target Earnings (OTE) between $138,000 - $165,000/year (including bonus or commission). Your exact offer may vary depending on multiple individualized factors, including market location, job-related knowledge, skills, and experience. In addition to cash compensation, Braze offers full- and part- time employees a comprehensive Total Rewards package that includes equity grants of restricted stock (RSUs) so that all Braze employees own a piece of our company.
 
 
 
 What We Offer
 
 
 
 Braze benefits vary by location, and we encourage you to review our specific benefits offerings for each country here . More details on benefits plans will be provided if you receive an offer of employment.
 
 
 
 Benefits
 
 
 
 From offering comprehensive benefits to fostering hybrid ways of working, we&rsquo;ve got you covered so you can prioritize work-life harmony. Braze offers benefits such as:
 
 
 <ul>
 <li>
 Competitive compensation that may include equity
 </li>
 <li>
 Retirement and Employee Stock Purchase Plans
 </li>
 <li>
 Flexible paid time off
 </li>
 <li>
 Comprehensive benefit plans covering medical, dental, vision, life, and disability
 </li>
 <li>
 Family services that include fertility benefits and equal paid parental leave
 </li>
 <li>
 Professional development supported by formal career pathing, learning platforms, and a yearly learning stipend
 </li>
 <li>
 A curated in-office employee experience, designed to foster community, team connections, and innovation
 </li>
 <li>
 Opportunities to give back to your community, including an annual company-wide Volunteer Week and donation matching
 </li>
 <li>
 Employee Resource Groups that provide supportive communities within Braze
 </li>
 <li>
 Collaborative, transparent, and fun culture recognized as a Great Place to Work&reg;
 
 
 </li>
 </ul>
 
 About Braze
 
 
 
 Braze is the leading customer engagement platform that empowers brands to Be Absolutely Engaging.&trade; Braze helps brands deliver great customer experiences that drive value both for consumers and for their businesses. Built on a foundation of composable intelligence, BrazeAI&trade; allows marketers to combine and activate AI agents, models, and features at every touchpoint throughout the Braze Customer Engagement Platform for smarter, faster, and more meaningful customer engagement. From cross-channel messaging and journey orchestration to Al-powered decisioning and optimization, Braze enables companies to turn action into interaction through autonomous, 1:1 personalized experiences.
 
 
 The company has repeatedly been recognized as a Leader in marketing technology by industry analysts, and was voted a G2 &ldquo;Best of Marketing and Digital Advertising Software Product&rdquo; in 2025.
 
 
 Braze was also named a 2025 Best Companies To Work For by U.S. News &amp; World Report, a 2025 America&rsquo;s Greatest Companies by Newsweek, and a 2025 Fortune Best Workplace in Technology&trade; by Great Place To Work&reg;, among other accolades. Braze is also proudly certified as a Great Place to Work&reg; in the U.S., the UK, Australia, and Singapore.
 
 
 The company is headquartered in New York with offices in Austin, Berlin, Bucharest, Chicago, Dubai, Jakarta, London, Paris, San Francisco, S&atilde;o Paulo, Singapore, Seoul, Sydney and Tokyo.
 
 
 
 BRAZE IS AN EQUAL OPPORTUNITY EMPLOYER
 
 
 
 At Braze, we strive to create equitable growth and opportunities inside and outside the organization.
 
 
 Building meaningful connections is at the heart of everything we do, and that includes our recruiting practices. We're committed to offering all candidates a fair, accessible, and inclusive experience &ndash; regardless of age, color, disability, gender identity, marital status, maternity, national origin, pregnancy, race, religion, sex, sexual orientation, or status as a protected veteran. When applying and interviewing with Braze, we want you to feel comfortable showcasing what makes you you .
 
 
 We know that sometimes different circumstances can lead talented people to hesitate to apply for a role unless they meet 100% of the criteria. If this sounds familiar, we encourage you to apply, as we&rsquo;d love to meet you.
 
 
 Please see our Candidate Privacy Policy for more information on how Braze processes your personal information during the recruitment process and, if applicable based on your location, how you can exercise any privacy rights.
</div>

Forward-Deployed Data Scientist

Attentive.ai

<div>
 
 About Attentive.ai
 
 
 
 Attentive.ai is transforming the field services and construction industries with our flagship AI solution - Beam AI. Our platform empowers businesses to double their bidding capacity and accelerate growth through automation and intelligent insights.
 
 
 More than
 
 1k+ businesses
 
 across the U.S. and Canada already use our products to boost sales velocity and streamline operations. We have raised
 
 $30.5M in Series B funding
 
 , accelerating our mission to make advanced AI tools accessible, practical, and impactful in the real world. We are proudly Backed by Insight Partners, Peak XV (Surge), InfoEdge, Tenacity and Vertex Ventures.
 
 
 
 Position Description
 
 
 
 As an
 
 AI/ML Research Scientist,
 
 you will be an integral part of our AI research team focused on transforming the construction industry through cutting-edge deep learning, computer vision and NLP technologies. You will contribute to the development of intelligent systems for automated construction take-off and estimation by working with unstructured data such as blueprint, drawings (including SVGs), and PDF documents.
 
 
 In this role, you will support the end-to-end lifecycle of AI-based solutions &mdash; from prototyping and experimentation to deployment in production. Your contributions will directly impact the scalability, accuracy, and efficiency of our products.
 
 
 
 Roles &amp; Responsibilities
 
 
 
 <ul>
 <li>
 Build and deploy ML models for parsing and reasoning over construction blueprint PDFs - working with image, text and vector graphics modalities
 </li>
 <li>
 Design data pipelines for training, validation, and continuous improvement.
 </li>
 <li>
 Improve model accuracy, latency, and scalability for production workloads.
 </li>
 <li>
 Contribute to system architecture decisions for ML deployment and monitoring.
 </li>
 <li>
 Collaborate with cross-functional teams including software engineers, ML researchers, and product teams
 </li>
 <li>
 Write clean, scalable, and production-ready code
 
 
 </li>
 </ul>
 
 Skills &amp; Requirements
 
 
 
 <ul>
 <li>
 3&ndash;5 years of experience in applied AI/ML and research, preferably with focus on computer vision.
 </li>
 <li>
 PhD or Master's degree in deep learning, coupled with research experience focused on image modalities.
 </li>
 <li>
 Experience working with document understanding, OCR pipelines, or structured extraction systems is a plus.
 </li>
 <li>
 Deep understanding of unsupervised learning techniques like clustering, dimensionality reduction, and representation learning.
 </li>
 <li>
 Proficiency in Python and ML frameworks such as PyTorch, OpenCV, TensorFlow, and HuggingFace Transformers.
 </li>
 <li>
 Hands-on experience with model optimization techniques (e.g., quantization, pruning, knowledge distillation)
 </li>
 <li>
 Familiarity with LLM based systems and architectures
 </li>
 <li>
 Comfortable working in a fast-moving, ownership-driven environment.
 
 
 </li>
 </ul>
 
 Why Work With Us?
 
 
 
 <ul>
 <li>
 Be part of a visionary team building a first-of-its-kind AI solution for the construction industry.
 </li>
 <li>
 Exposure to real-world AI deployment and cutting-edge research in vision and multimodal learning.
 </li>
 <li>
 Culture that encourages ownership, innovation, and growth.
 </li>
 <li>
 Opportunities for fast learning, mentorship, and career progression.
 </li>
 </ul>
</div>

AI/ML Research Scientist

Lyft

<div>
 At Lyft, our purpose is to serve and connect. We aim to achieve this by cultivating a work environment where all team members belong and have the opportunity to thrive.
 
 
 Our Global Security team is at the forefront of this mission, ensuring the safety of our community and the integrity of our operations across all lines of business, including ride-sharing and our world-class micromobility networks.
 
 
 As a leader in transportation, Lyft powers millions of rides daily across over 200 cities. Our Global Security team safeguards this ecosystem by conducting complex investigations, implementing mitigation strategies, and maintaining robust partnerships with law enforcement. We are looking for a Global Security Investigations Analyst Intern to join our team in the San Francisco office and provide the data-driven insights necessary to protect our people, assets, and reputation.
 
 
 The Global Security Investigations Analyst Intern will report directly to a Global Security Investigations Manager while working in close daily collaboration with other Global Security Investigators. This role is pivotal in bridging the gap between raw investigative data and actionable intelligence. You will be responsible for triaging incoming leads, identifying emerging threat patterns, and supporting high-priority investigations that impact Lyft&rsquo;s global footprint.
 
 
 
 Responsibilities:
 
 
 
 <ul>
 <li>
 Triage and Analysis: Serve as a member of the team responding to investigative leads, triaging and identifying potential risks to Lyft&rsquo;s business units, including Risk, Community Safety, Payment, Identity, and Integrity (PII) and Flexdrive.
 </li>
 <li>
 Investigative Support: Collaborate directly with Global Security Investigators to provide analytical support on complex cases related to organized crime, fraud, trust &amp; safety and internal threats.
 </li>
 <li>
 Data Intelligence: Analyze large datasets to identify trends in organized theft and security breaches, leveraging SQL and scripting to automate data collection and generate insights.
 </li>
 <li>
 Reporting: Build detailed investigating tooling to support investigative automation and efficiency using analytical software.
 </li>
 <li>
 Cross-Functional Collaboration: Build strong relationships with internal partners in Legal, Policy, Fraud, Trust &amp; Safety, and Operations to drive mitigation solutions for identified gaps and risks.
 </li>
 <li>
 Case Management: Utilize case management, internal tools &amp; apps and ticketing systems (e.g., Jira) to track, prioritize, and manage the lifecycle of multiple concurrent investigations.
 </li>
 <li>
 Program Support: Assist with Global Security and Executive Protection programs on an as-needed basis to ensure comprehensive organizational safety.
 
 
 </li>
 </ul>
 
 Experience:
 
 
 
 <ul>
 <li>
 Education: Currently pursuing a Bachelor's or Master&rsquo;s degree in Geographic Information Systems (GIS), Data Science or Data Analytics, Criminal Justice, International Relations, or a related field with a graduation date between December 2026 and Summer 2027 (required).
 </li>
 <li>
 Analytical Expertise: Proven experience in data analysis, root cause analysis, and recommending deterrent enhancements.
 </li>
 <li>
 Technical Proficiency: Strong familiarity with databases (SQL) and basic proficiency in scripting languages (e.g., Python) to analyze data and automate repetitive tasks.
 </li>
 <li>
 Communication: Outstanding written, verbal, and electronic communication skills, with the ability to present complex data to audiences of varying seniority.
 </li>
 <li>
 Investigative Mindset: A creative problem solver who can work autonomously and make independent decisions within a broad procedural framework.
 </li>
 <li>
 Adaptability: Ability to thrive in a fast-paced and ambiguous environment and manage multiple priorities with consistency and reliability.
 </li>
 <li>
 Integrity: Highest level of integrity and experience in the management of highly confidential and sensitive information.
 
 
 </li>
 </ul>
 Benefits:
 
 
 <ul>
 <li>
 Great medical, dental, and vision insurance options
 </li>
 <li>
 Mental health benefits
 </li>
 <li>
 In addition to holidays, interns receive 2 days paid time off and 3 days sick time off
 </li>
 <li>
 401(k) plan to help save for your future
 </li>
 <li>
 Subsidized commuter benefits
 </li>
 <li>
 Lyft Pink - Lyft team members get an exclusive opportunity to test new benefits of our Ridership Program
 
 
 </li>
 </ul>
 
 Lyft is an equal opportunity employer committed to an inclusive workplace that fosters belonging. All qualified applicants will receive consideration for employment without regards to race, color, religion, sex, sexual orientation, gender identity, national origin, disability status, protected veteran status, age, genetic information, or any other basis prohibited by law. We also consider qualified applicants with criminal histories consistent with applicable federal, state and local law.
 
 
 
 
 Lyft highly values having employees working in-office to foster a collaborative work environment and company culture. This role will be in-office in San Francisco, California on a hybrid schedule &mdash; Team Members will be expected to work in the office 3 days per week on Mondays, Wednesdays, and Thursdays. Lyft considers working in the office at least 3 days per week to be an essential function of this hybrid role. Your recruiter can share more information about the various in-office perks Lyft offers.
 
 
 
 
 The expected base pay range for this position in the San Francisco Bay Area is $33-$37/hour. Salary ranges are dependent on a variety of factors, including qualifications, experience and geographic location. Your recruiter can share more information about the salary range specific to your working location and other factors during the hiring process.
 
</div>

Global Security Investigations Analyst Intern (Summer 2026)

Handshake

<div>
 
 About Handshake
 
 
 
 Handshake is the career network for the AI economy. More than 20 million knowledge workers, 1,600 educational institutions, and 1 million employers &mdash; including 100% of the Fortune 50 &mdash; trust Handshake to power career discovery, hiring, and upskilling. From freelance AI training gigs to first internships to full-time careers and beyond, we connect talent with opportunity at every stage.
 
 
 This unique position in the ecosystem is driving exceptional growth &mdash; in 2025, we tripled ARR at scale.
 
 
 
 Why Join Handshake Now
 
 
 
 <ul>
 <li>
 Shape how careers evolve in the AI economy at global scale, with visible real-world impact
 </li>
 <li>
 Work directly with leading AI labs, Fortune 500 partners, and top educational institutions
 </li>
 <li>
 Help build a rapidly scaling business on a path toward multi-billion-dollar revenue
 
 
 </li>
 </ul>
 
 The Role
 
 
 
 As a
 
 AI/Machine Learning Engineering Intern
 
 , you will contribute to building intelligent product experiences that help students discover and secure opportunities. Your work will span search, recommendations, matching, and other discovery systems that power job exploration on Handshake.
 
 
 You will gain hands-on experience developing, evaluating, and deploying machine learning models in a production environment, learning how large-scale ML systems are designed, optimized, and maintained.
 
 
 This is a paid, full-time summer internship with two cohort options:
 
 
 <ul>
 <li>
 May 18 &ndash; August 7, 2026
 </li>
 <li>
 June 15 &ndash; September 4, 2026
 
 
 </li>
 </ul>
 
 In This Role, You Will
 
 
 
 <ul>
 <li>
 Partner with senior engineers and data scientists to develop machine learning models that improve user experience
 </li>
 <li>
 Build Agentic pipelines/workflows to improve the Handshake student/employer user experience
 </li>
 <li>
 Contribute to experimentation, model evaluation, and performance monitoring
 </li>
 <li>
 Participate in technical discussions, brainstorming sessions, and team reviews
 </li>
 <li>
 Document methodologies and findings to support knowledge sharing and long-term system improvements
 
 
 </li>
 </ul>
 
 You Have
 
 
 
 
 Must Haves
 
 
 
 <ul>
 <li>
 Are currently pursuing a degree in Computer Science, Data Science, or a related field
 </li>
 <li>
 Have strong programming skills in Python and experience with ML frameworks such as PyTorch or TensorFlow
 </li>
 <li>
 Have exposure to software engineering best practices (version control, testing, code reviews)
 </li>
 <li>
 Have familiarity with data analysis techniques and experience with SQL
 </li>
 <li>
 Have strong problem-solving skills and the ability to work in a collaborative team environment
 </li>
 <li>
 Have strong communication skills and are able to explain technical concepts effectively
 
 
 </li>
 </ul>
 
 Bonus Points
 
 
 
 <ul>
 <li>
 Experience with cloud platforms such as AWS, Google Cloud, or Azure
 </li>
 <li>
 Experience with modern coding tools like Cursor/Claude code/Codex
 </li>
 <li>
 Prior internship or project experience in applied machine learning in domains such as NLP, search and recommendation systems
 
 
 </li>
 </ul>
 
 We Offer
 
 
 
 Handshake provides benefits that help you feel supported and thrive at work and in life.
 
 
 (The below benefits apply to US-based interns.)
 
 
 <ul>
 <li>
 💰 Competitive hourly compensation
 </li>
 <li>
 📚 Mentorship and hands-on learning from experienced ML engineers
 </li>
 <li>
 💻 5 days/week in-office experience
 </li>
 <li>
 🤝 Structured intern programming and team events
 
 
 </li>
 </ul>
 Explore our mission, values, and open roles at
 
 joinhandshake.com/careers
 
 .
 
 
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AI/Machine Learning Engineer Intern

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