growth data science analyst Jobs in San Francisco

growth data science analyst

senior data scientist, finance & go‑to‑market analytics Jobs in San Francisco

senior data scientist, finance & go‑to‑market analytics

senior data scientist, risk & fraud Jobs in San Francisco

senior data scientist, risk & fraud

sr data engineer

senior data scientist risk fraud

Block

<div><div>Block is one company built from many blocks, all united by the same purpose of economic empowerment. The blocks that form our foundational teams &mdash; People, Finance, Counsel, Hardware, Information Security, Platform Infrastructure Engineering, and more &mdash; provide support and guidance at the corporate level. They work across business groups and around the globe, spanning time zones and disciplines to develop inclusive People policies, forecast finances, give legal counsel, safeguard systems, nurture new initiatives, and more. Every challenge creates possibilities, and we need different perspectives to see them all. Bring yours to Block.

The Role

The Data Science team at Cash App derives valuable insights from our extremely unique datasets and turns those insights into actions that improve the experience for our customers every day. In this role, you'll be embedded in the Risk &amp; Fraud organization and work closely with machine learning, product management as well as other cross-functional partners to drive strategy using a variety of data science techniques and own north star metric monitoring. Because our risk and fraud systems play such a critical role to the company and to protecting our users, a sense of urgency and appreciation for how our work impacts the customer experience is absolutely critical for this position.

Work from anywhere: This role can be performed from any location in the US with the flexibility to work from home

You Will
<ul>
<li>Partner directly with the Cash App Risk &amp; Fraud org, working closely with machine learning, operations, engineers, product, legal, and compliance teams</li>
<li>Analyze large datasets using SQL and scripting languages to surface actionable insights and opportunities to the product team and other key stakeholders</li>
<li>Approach problems from first principles, using a variety of statistical and mathematical modeling techniques to research and understand customer behavior</li>
<li>Design and analyze A/B experiments to evaluate the impact of changes and optimize our risk actions</li>
<li>Work with engineers to log new, useful data sources to reflect our risk and product features</li>
<li>Build, forecast, and report on metrics that drive strategy and facilitate decision making for key business initiatives</li>
<li>Write code to effectively process, cleanse, and combine data sources in unique and useful ways, often resulting in curated ETL datasets that are easily used by the broader team</li>
<li>Build and share data visualizations and self-serve dashboards for your partners</li>
<li>Effectively communicate your work with team leads and cross-functional stakeholders on a regular basis</li>
</ul>
You Have
<ul>
<li>Previous exposure to or interest in areas like risk, fraud, statistical reporting methods, or regulatory data science</li>
<li>A bachelor degree in statistics, data science, or similar STEM field with 6+ years of experience in a relevant role OR</li>
<li>A graduate degree in statistics, data science, or similar STEM field with 4+ years of experience in a relevant role</li>
<li>Advanced proficiency with SQL and data visualization tools (e.g. Tableau, Looker, etc)</li>
<li>Experience with scripting and data analysis programming languages, such as Python or R</li>
<li>Gone deep with cohort and funnel analyses, a deep understanding statistical concepts such as selection bias, probability distributions, and conditional probabilities</li></ul> 


We're working to build a more inclusive economy where our customers have equal access to opportunity, and we strive to live by these same values in building our workplace. Block is an equal opportunity employer evaluating all employees and job applicants without regard to identity or any legally protected class. We will consider qualified applicants with arrest or conviction records for employment in accordance with state and local laws and &ldquo;fair chance&rdquo; ordinances.

We believe in being fair, and are committed to an inclusive interview experience, including providing reasonable accommodations to disabled applicants throughout the recruitment process. We encourage applicants to share any needed accommodations with their recruiter, who will treat these requests as confidentially as possible.

While there is no specific deadline to apply for this role, U.S. roles are typically open for an average of 55 days before being filled by a successful candidate. Please refer to the date listed at the top of this job page for when this role was first posted.<div><div><div> 

Block takes a market-based approach to pay, and pay may vary depending on your location. U.S. locations are categorized into one of four zones based on a cost of labor index for that geographic area. The successful candidate&rsquo;s starting pay will be determined based on job-related skills, experience, qualifications, work location, and market conditions. These ranges may be modified in the future.</div><div> 
Zone A:</div><div>
$198,000&mdash;$297,000 USD</div></div><div><div>
Zone B:
</div><div>$188,100&mdash;$282,100 USD</div></div><div><div>
Zone C:</div><div>
$178,200&mdash;$267,400 USD</div></div><div><div>
Zone D:</div><div>
$168,300&mdash;$252,500 USD</div></div></div><div>
Use of AI in Our Hiring Process

We may use automated AI tools to evaluate job applications for efficiency and consistency. These tools comply with local regulations, including bias audits, and we handle all personal data in accordance with state and local privacy laws.

Contact us at privacy@block.xyz with hiring practice or data usage questions.

Every benefit we offer is designed with one goal: empowering you to do the best work of your career while building the life you want. Remote work, medical insurance, flexible time off, retirement savings plans, and modern family planning are just some of our offering.

Block, Inc. (NYSE: XYZ) builds technology to increase access to the global economy. Each of our brands unlocks different aspects of the economy for more people. Square makes commerce and financial services accessible to sellers. Cash App is the easy way to spend, send, and store money. Afterpay is transforming the way customers manage their spending over time. TIDAL is a music platform that empowers artists to thrive as entrepreneurs. Bitkey is a simple self-custody wallet built for bitcoin. Proto is a suite of bitcoin mining products and services. Together, we&rsquo;re helping build a financial system that is open to everyone.</div></div></div>

Senior Data Scientist, Risk & Fraud

Neon

<div>
 
 About Neon
 
 
 
 Neon is a global payments and e-commerce platform designed to help game publishers earn more money and independence from app stores. We believe commerce should be open and transparent: clear decisions, actionable insights, and aligned incentives. Founded by payments, fintech and gaming veterans, Neon focuses on product and partnership excellence: we share the playbook, co-pilot decisions, and abstract away risk and complexity for our customers. We&rsquo;re replacing old-school, black-box relics with clear, modern, and developer-centric infrastructure.
 
 
 As an early team member, you&rsquo;ll have the opportunity to shape and scale Neon&rsquo;s product and culture, making a direct impact on our growth and success. You&rsquo;ll join a collaborative, diverse team from world-class companies like Apple, Affirm, Unity, and Visa, backed by renowned VC's including Thrive, a16z, Griffin Gaming, Ribbit, and Renegade. If you want to build disruptive technology, challenge the status quo, and help game creators thrive on their own terms, read on.
 
 
 The Role
 
 
 The Payment Operations Analyst plays a critical role in ensuring the smooth day-to-day execution of Neon Pay&rsquo;s payments operations. You&rsquo;ll manage dispute resolution, fraud investigation, and transaction performance tracking &mdash; providing the data and insights that fuel our payment optimization and risk strategies.
 
 
 This is a hands-on operational role that sits within the Payments function, working closely with product managers and partners to ensure accuracy, compliance, and continuous improvement.
 
 
 What You&rsquo;ll Do
 
 
 <ul>
 <li>
 Manage dispute and chargeback processes from intake to resolution.
 </li>
 <li>
 Conduct fraud investigations and escalate patterns to product and risk leads.
 </li>
 <li>
 Track and analyze performance metrics such as authorization rates, decline reasons, and fraud losses.
 </li>
 <li>
 Support reporting and KPI tracking for payment optimization and risk performance.
 </li>
 <li>
 Document workflows, maintain compliance standards, and identify areas for process improvement.
 </li>
 <li>
 Collaborate with Product, Engineering, and external partners to strengthen operations and data accuracy.
 
 
 </li>
 </ul>
 What You&rsquo;ll Bring
 
 
 <ul>
 <li>
 3&ndash;5 years&rsquo; experience in payments operations, fraud/risk operations, or financial services.
 </li>
 <li>
 Strong analytical skills; comfortable working with data dashboards and performance reporting tools.
 </li>
 <li>
 Detail-oriented, process-driven, and proactive in identifying inefficiencies.
 </li>
 <li>
 Strong communicator, able to work effectively across product, operations, and external teams.
 </li>
 </ul>
</div>

Payments Performance Analyst

LendingClub

<div><h3 class="jobSectionHeader">Current Employees of LendingClub: Please apply via your internal Workday Account</h3>
LendingClub Corporation (NYSE: LC) is the parent company of LendingClub Bank, National Association, Member FDIC. We are the leading digital marketplace bank in the U.S., having helped our nearly 5 million members secure over $90 billion in loans to refinance high-cost debt and achieve their financial goals. Members today have mobile-first access to a growing range of products and services designed to work seamlessly together to deliver value in new ways. Everyone deserves a better financial future, and our team is committed to making that a reality. Join the Club!<h2 class="jobSectionHeader">
About the Role</h2>
Our mission at LendingClub is to empower those who strive to achieve better financial health. The data Platform Team plays a crucial role in achieving our mission.
 
 
We are seeking a Sr ML Platform Engineer for our Data Platform Team to help build and scale the ML platform and infrastructure that powers data-driven decision-making across the company. This role focuses on enabling multiple business functions such as credit risk, fraud detection, marketing, and operations - to experiment, deploy, and monitor machine learning models efficiently and responsibly.
 
 
You&rsquo;ll work closely with data scientists, data engineers, and product teams to create a unified, secure, and compliant ML ecosystem that accelerates innovation while ensuring model transparency, performance, and governance.<h2 class="jobSectionHeader">
What You'll Do</h2><div><ul><li>
 Design, build, and maintain scalable machine learning infrastructure - including feature stores, model registries, and deployment pipelines - to enable efficient model experimentation and productionization</li><li>
Implement end-to-end MLOps practices for automated continuous training, testing, deployment, versioning of workflows, and monitoring of ML models using modern frameworks (e.g., MLflow, SageMaker, Databricks, Kubeflow)</li><li>
Build and maintain scalable ML pipelines for data ingestion, feature engineering, training, and deployment, ensuring reliability, observability, and compliance with LendingClub&rsquo;s data security policies</li><li>
Collaborate closely with data scientists to transition prototypes into robust, production-grade solutions - ensuring reproducibility, performance optimization, and version control</li><li>
Build standards, tools and libraries to streamline model lifecycle operations (training, evaluation, deployment) for other teams across LendingClub</li><li>
Create and maintain monitoring systems for model performance, data drift, and feature quality - with automated alerting and retraining triggers</li><li>
Ensure compliance and governance of ML assets through audit logging, explainability tooling (SHAP, LIME, feature attribution), and model documentation practices that align with regulatory standards (e.g., Fair Lending, FCRA)</li><li>
Integrate ML systems with business applications, APIs, and microservices to deliver real-time intelligence to customer-facing and internal decisioning systems</li><li>
Collaborate with platform, DevOps, and security teams to establish standardized infrastructure, CI/CD pipelines, and deployment environments for ML workloads</li><li>
Drive adoption of Responsible AI principles - ensuring fairness, interpretability, and transparency in models used for credit, risk, and customer decisions</li><li>
Automate evidence packaging for internal audits and regulatory reviews, including data lineage, test results, and approval history</li><li>
Conduct performance benchmarking and cost optimization for ML workloads across cloud and compute resources</li></ul></div><h2 class="jobSectionHeader">
About You</h2><div><ul><li>
6+ years of experience in Machine Learning Engineering, Data Engineering, or MLOps</li><li>
Bachelor's degree or higher in a related field; or equivalent work experience
</li><li>Strong foundation in ML engineering, with experience building and scaling pipelines and platforms in production</li><li>
Proficient in Python and experienced with data transformation and orchestration tools such as dbt (for modeling), Dagster (for orchestration), and Databricks (for large-scale data and model workflows)</li><li>
Deep understanding of the end-to-end ML lifecycle, from data ingestion and feature engineering to model deployment and monitoring</li><li>
Hands-on experience or interest in data quality and observability frameworks, such as Elementary, and you appreciate how data reliability underpins model performance</li><li>
Experience implementing or supporting MLOps practices using frameworks like MLflow, SageMaker, or similar tools within Databricks or AWS</li><li>
Comfortable working in a cloud-native environment (AWS preferred) and using infrastructure-as-code (Terraform, CloudFormation) to automate deployments</li><li>
Strong collaboration skills and the ability to partner with data engineers, data scientists, and product teams to make ML accessible, reliable, and compliant across domains</li><li>
You thrive in a FinTech environment, balancing innovation with rigor around governance, explainability, and model monitoring.</li></ul></div><div> 
Nice to have skills:</div><div><ul><li>
Experience with LLM integration (RAG pipelines, vector databases)</li><li>
Exposure to risk modeling, credit scoring, or fraud detection systems</li><li>
Familiarity with FinTech data privacy laws and model documentation standards</li><li>
Contributions to open-source ML infrastructure or platform components</li></ul>
Work Location
 
San Francisco 
 
The above locations are eligible offices for this role. The locations have been determined to foster in-person collaboration with this role&rsquo;s team or the related business lines. We utilize a hybrid work model, and our teams are in-office Tuesdays, Wednesdays, and Thursdays. In-person attendance is essential for this role&rsquo;s success, and remote placement will not be considered. LendingClub offers relocation, based on actual job level.
 
 
Time Zone Requirements
 
Primarily PT 
 
While the position will primarily work local hours, LendingClub is headquartered in Pacific Time and our ideal candidate will be flexible working across time zones when necessary. 
 
Travel Requirements
 
As needed travel to LendingClub offices and/or other locations, as needed.
 
 
Compensation
 
The target base salary range for this position is 176,000-205,000. The base salary of the role will be determined by job-related knowledge, experience, education, skills, and location. Base salary is just one part of LendingClub&rsquo;s Total Rewards package. You may also be eligible for long-term awards (equity) and an annual bonus (which is based on company performance, employee performance and eligible earnings). 
 
We&rsquo;re creating new financial services solutions for our members based on fairness, simplicity, and heart, and we treat our employees the same way. We offer a competitive benefits package that includes medical, dental and vision plans for employees and their families, 401(k) match, health and wellness programs, flexible time off policies for salaried employees, up to 16 weeks paid parental leave and more.
 
 
#LI-Hybrid
 
#LI-JH1 
</div> 
LendingClub is an equal opportunity employer and dedicated to diversity, equity, and inclusion in the workplace. We do not discriminate on the basis of race, religion, color, national origin, sex (including pregnancy, childbirth, reproductive health decisions, or related medical conditions), gender, gender identity, gender expression, sexual orientation, age, marital status, veteran status, disability status, political views or activity, or other applicable legally protected characteristics. We believe that a variety of perspectives will make our teams and business stronger as we work together to transform the traditional banking system. 
We are committed to providing reasonable accommodations for qualified individuals with disabilities in our job application process. If you need assistance or an accommodation due to a disability, please contact us at interviewaccommodations@lendingclub.com.</div>

Sr ML Ops Engineer

Uber

<div>
 
 About The Role
 
 
 
 As a Science Manager for Uber Eats (UE) Search, you will play a pivotal role in shaping the future of search experiences within the UE platform. Partnering closely with Engineering and Product leadership, you will drive the strategic vision and execution of search-related product development.
 
 
 
 In This Role, You Will
 
 
 
 <ul>
 <li>
 Ensure robust data governance for event logging and metric generation, maintaining accuracy, consistency, and reliability.
 </li>
 <li>
 Develop and execute robust experimental designs and insightful analyses to shape the product strategy, proactively identifying and mitigating potential challenges.
 </li>
 <li>
 Develop and implement cutting-edge machine learning, statistical, and analytical solutions to enhance search relevance, ranking, and overall user experience.
 </li>
 <li>
 Leverage data-driven insights and algorithmic expertise to guide the team's direction and balance short-term execution with long-term innovation.
 </li>
 <li>
 Lead a team of highly skilled scientists, providing mentorship, feedback, and career growth opportunities to foster technical excellence and impact.
 
 
 </li>
 </ul>
 
 
 What You'll Do
 
 
 
 
 <ul>
 <li>
 Lead a team of Scientists
 </li>
 <li>
 Actively participate and contribute in the end-to-end process of experimental design, execution, and analysis
 </li>
 <li>
 Work closely with Engineering and Product leads to develop technical vision and drive the team direction through identifying opportunities and building data-driven solutions.
 </li>
 <li>
 Propose and guide framework of data analysis and experiments to drive business insight and facilitate decisions.
 </li>
 <li>
 Collaborate closely with Engineering and Product teams to productionize models, enhance data observability and metrics with dashboards, and conduct experiments and in-depth analysis.
 </li>
 <li>
 Communicate with leadership and cross-functional teams, including presentation of the Science team's work on models, solutions, and data analytics findings.
 
 
 </li>
 </ul>
 
 
 Basic Qualifications
 
 
 
 
 <ul>
 <li>
 Ph.D., M.S. or Bachelors degree in Statistics, Economics, Mathematics, Operations Research, or other quantitative fields.
 </li>
 <li>
 Minimum 7 years of industry experience as a Scientist or equivalent (5+ years if holding a Ph.D. degree).
 </li>
 <li>
 Experience with exploratory data analysis, statistical analysis and testing, causal analysis and ML model development.
 </li>
 <li>
 Minimum 1 year of experience in managing a team of Applied / Data Scientists with Strong people leadership skills including growing and mentoring your team members
 </li>
 <li>
 Experience with tools like SQL or R in a production environment.
 </li>
 <li>
 Bias to action and proven track record of getting things done.
 </li>
 <li>
 Proficiency using Python, pySpark at scale with large data sets.
 </li>
 <li>
 Experienced in partnering with cross-functional stakeholders to execute decisions.
 </li>
 <li>
 Experience in tech or marketplace industries.
 
 
 </li>
 </ul>
 
 
 Preferred Qualifications
 
 
 
 
 <ul>
 <li>
 PhD or equivalent in Computer Science, Engineering, Mathematics or other quantitative fields.
 </li>
 <li>
 9+ years of industry experience as an (Applied / Data) Scientist or equivalent (7+ years if holding a Ph.D. degree).
 </li>
 <li>
 2+ years of experience in managing a team of Applied / Data Scientists with Strong people leadership skills including growing and mentoring your team members.
 </li>
 <li>
 Experience in Search and Recommendation domains
 
 
 </li>
 </ul>
 For San Francisco, CA-based roles: The base salary range for this role is USD$212,000 per year - USD$235,500 per year. For Sunnyvale, CA-based roles: The base salary range for this role is USD$212,000 per year - USD$235,500 per year. For all US locations, you will be eligible to participate in Uber's bonus program, and may be offered an equity award &amp; other types of comp. You will also be eligible for various benefits. More details can be found at the following link https://www.uber.com/careers/benefits.
</div>

Manager II, Science - Search

CRUSOE

<div>Crusoe's mission is to accelerate the abundance of energy and intelligence. We&rsquo;re crafting the engine that powers a world where people can create ambitiously with AI &mdash; without sacrificing scale, speed, or sustainability.
Be a part of the AI revolution with sustainable technology at Crusoe. Here, you'll drive meaningful innovation, make a tangible impact, and join a team that&rsquo;s setting the pace for responsible, transformative cloud infrastructure.
About This Role:
We are seeking a seasoned and Senior Director, Safety to architect, scale, and lead a comprehensive, enterprise-wide safety strategy that is foundational to Crusoe&rsquo;s rapid, innovative growth. This critical role directly impacts our operational excellence, spanning our manufacturing facilities, large-scale power and data center infrastructure development, AI infrastructure deployment, field operations, and expanding global workplace footprint. You will define and execute the long-term vision, strategy, and performance of Safety at Crusoe, acting as the senior voice to executive leadership on risk mitigation and compliance.
The ideal candidate is a bold and inspiring leader who has previously led safety programs at hyperscale, mission-critical, or heavy industrial organizations. We are looking for someone who knows how to seamlessly embed safety as a non-negotiable component into design, schedules, contracts, and all day-to-day operations. This position is a full-time role.
What You&rsquo;ll Be Working On:<ul><li>
Architect Enterprise-Wide Safety Strategy: Define, champion, and execute a multi-year Safety strategy that aligns with Crusoe&rsquo;s operational growth, manufacturing scale-up, and enterprise objectives, ensuring safety is integrated into planning and investment decisions at all levels.</li><li>
Drive Operational Safety Excellence: Serve as Crusoe&rsquo;s highest-level safety authority for manufacturing operations, shaping the safety implications of production workflows, equipment design, and facility buildouts; maintain a strong onsite presence at manufacturing facilities for high-engagement leadership.</li><li>
Govern Program Architecture &amp; Compliance: Architect and govern scalable, enterprise-wide Safety programs, standards, and governance models that exceed regulatory standards (OSHA, EPA, DOT) across all business units (manufacturing, field services, data centers, and corporate).</li><li>
Cultivate a Collaborative Safety Culture: Serve as the senior executive sponsor for safety, influencing and coaching leaders from C-level to frontline to embed safety into their daily operations, fostering a culture that supports innovation, operational discipline, and ethical practices.</li><li>
Deploy Risk Intelligence &amp; Response: Establish, mature, and lead crisis and emergency response frameworks; deploy advanced risk intelligence tools and predictive analytics to proactively surface and mitigate emerging hazards across the enterprise.</li><li>
Lead Incident Management &amp; Learning: Own executive-level review and oversight of significant incidents, ensuring robust root cause analyses are conducted, corrections are implemented with urgency, and learnings are shared enterprise-wide to drive continuous improvement.</li><li>
Develop High-Performing Teams: Lead, mentor, and develop a high-performing safety organization; build organizational capability through professional development pathways and succession pipelines to strengthen decision-making and accountability.</li><li>
Deliver Strategic Governance &amp; Reporting: Define, monitor, and continuously refine KPIs, leading indicators, and maturity models; deliver high-quality, insightful reporting to executive leadership and the Board on trends, risks, and strategic needs.</li></ul>
What You&rsquo;ll Bring to the Team:<ul><li>
Advanced Safety Leadership: A minimum of 12&ndash;15+ years of progressive Safety leadership experience is required.</li><li>
Manufacturing Strategy Expertise: At least 5+ years leading safety strategy for large-scale manufacturing operations is mandatory.</li><li>
Program Scaling Success: Demonstrated experience designing and scaling enterprise Safety programs within high-growth, mission-critical, or heavy industrial environments.</li><li>
Regulatory Command: Deep expertise in OSHA, EPA, DOT, and related regulatory frameworks is non-negotiable, coupled with the ability to anticipate future regulatory and operational risks.</li><li>
Executive Presence &amp; Influence: Exceptional executive communication, cross-functional influence, and change leadership capability to drive alignment across diverse teams.</li><li>
Cross-Functional Partnership: Proven capacity to partner effectively across Engineering, Manufacturing, Field Operations, and People teams to integrate safety at the earliest design and planning stages.</li><li>
Required Education Level: A Bachelor&rsquo;s degree is required.</li></ul>
Bonus Points:<ul><li>
Advanced Degree: A Master&rsquo;s degree in Safety, Engineering, Operations, or a related field.</li><li>
Senior Certification: Certifications such as CSP (Certified Safety Professional), CIH (Certified Industrial Hygienist), CHMM (Certified Hazardous Materials Manager), or equivalent senior-level credentials.</li><li>
Operational Design Integration: Prior experience partnering with Engineering and Design teams to integrate safety at the earliest point of design and operational planning.</li><li>
Global Footprint: Experience managing safety compliance and programs across a geographically expanding global workplace footprint.</li></ul>
Benefits:<ul><li>
Industry competitive pay</li><li>
Restricted Stock Units in a fast growing, well-funded technology company</li><li>
Health insurance package options that include HDHP and PPO, vision, and dental for you and your dependents</li><li>
Employer contributions to HSA accounts</li><li>
Paid Parental Leave</li><li>
Paid life insurance, short-term and long-term disability</li><li>
Teladoc</li><li>
401(k) with a 100% match up to 4% of salary</li><li>
Generous paid time off and holiday schedule</li><li>
Cell phone reimbursement</li><li>
Tuition reimbursement</li><li>
Subscription to the Calm app</li><li>
MetLife Legal</li><li>
Company paid commuter benefit; $300 per pay period</li></ul>
Compensation:
Compensation will be paid in the range of up to $212,000-$265,000 + Bonus. Restricted Stock Units are included in all offers. Compensation to be determined by the applicant&rsquo;s education, experience, knowledge, skills, and abilities, as well as internal equity and alignment with market data.
Crusoe is an Equal Opportunity Employer. Employment decisions are made without regard to race, color, religion, disability, genetic information, pregnancy, citizenship, marital status, sex/gender, sexual preference/ orientation, gender identity, age, veteran status, national origin, or any other status protected by law or regulation.</div>

Director, Environmental Health and Safety

<div>We're looking for PhD candidates in the machine learning and optimization domain to intern with a variety of teams during summer 2026 (12 weeks). You will be embedded in an engineering team and work closely with other specialists, data scientists, and product managers. As a PhD intern, you will work on an exciting yet bold problem independently, under the supervision of an experienced engineer on that team.
 
 
About the Role
 
 
At Uber, we work on many ambitious engineering products covering many lines of business as well as the underlying platform technologies that power those businesses. We foster growth and increase profitability of Uber by pushing the frontiers of machine learning, constrained optimization, statistics, data science and economics and developing highly reliable and scalable platforms to accelerate Uber's impact on the transportation industry.
 
 
As a PhD software engineer intern, you will have a lot of opportunities to work with product managers, data scientists and, of course, engineers from different teams. You will have an opportunity to learn how to iterate over a product for greater success while demonstrating your area of expertise (machine learning, statistics, constrained optimization, distributed system, etc.). This is a unique opportunity to grow your skills with real-world experience and do highly impactful, yet fun work at the same time. It is an ambitious yet rewarding job!
 
 
Team Options
<ul><li>The Delivery Marketplace: Consumer and Courier Pricing, Matching and Logistics is responsible for building the core technology across the delivery line of business including food delivery, grocery, and retail last mile. These include a diverse set of transformational projects and impactful products ranging from finding the optimal match between jobs and earners in the delivery space, to setting optimal prices for Eaters and Couriers. The organization is formed of talented teams of engineers and scientists working side by side on the state of the art innovations on the matching objective function, pricing algorithms, and promotions. To achieve these goals, we leverage big data tools and apply advanced machine learning models to drive top line and bottom line business outcomes.
</li><li>The Trusted Identity org inspires trust in the Uber business cycle through verified and authentic identities. The Account Integrity team prevents fake identities from operating on the platform, and ensures that accounts are not duplicated nor fraudulent to enhance accountability. The Identity Verification team ensures accounts are created by real humans by verifying their attributes. The Account Security team is responsible for defending account holders from fraud related to phishing and ATO (account takeover) attempts. The Device Intelligence team is responsible for collecting device signals that are critical for the other teams to reliably achieve their goals.
</li><li>The Uber Risk engineering team is tackling challenges related to fraud and abuse detection. Our work is crucial in maintaining the integrity of Uber's platform. The team employs advanced machine learning including LLMs and computer vision, knowledge graph, similarity search and reinforcement learning to monitor transactions, detect unusual patterns, and implement robust verification methods
</li><li>The Mobility Matching team at Uber plays a crucial role in developing and optimizing algorithms and systems that match supply (drivers) with demand (riders) in real-time. You will work on complex problems, leveraging data and build ML algorithms to ensure efficient and reliable marketplace matching. The team is broadly part of the Marketplace (PIMS) org, a central pillar to Uber's core technology which includes pricing, incentives/investments, matching, surge, etc. As the key brain of the company, we manage the complex dynamics of supply and demand, optimize dispatching algorithms, and continuously innovate to enhance the overall user experience for both riders and drivers. Improvements in these systems increase revenue in the hundreds of millions of dollars, and decrease wasted time of drivers and users. Your contributions will directly impact the experience of millions of users worldwide.
</li><li>The Rider Pricing and Incentives team at Uber plays a crucial role in developing and optimizing algorithms and systems that determine the trip prices, discounting and promotions for Uber riders worldwide. You will work on complex modeling, pricing and incentives targeting problems, leveraging data and building ML algorithms to ensure accurate and robust pricing models and successful pricing optimization outcomes. The team is broadly part of the Marketplace organization, a central pillar to Uber's core technology which more broadly includes pricing, incentives/investments, matching, surge, etc. As a key team within Uber, we manage the complex dynamics between short term optimized pricing and long-term optimized pricing, promotion targeting and continuously innovating to enhance the overall user experience for riders. Improvements in these systems increase revenue in the hundreds of millions of dollars, and positively impact the experience of millions of users worldwide, as well as their ability to get around in the world.
</li><li>Join our Capacity Planning team as a Ph.D. intern to drive the future of infrastructure resource management through advanced quantitative methods. You will be at the forefront of implementing our data-driven forecasting vision, moving away from reactive, manual processes to scalable, automated solutions that utilize predictive analytics and real-time utilization data. This is a high-impact opportunity to work with the Applied Science and Engineering teams on designing and optimizing the central intelligence systems for capacity planning. Your expertise will be crucial in developing granular, highly accurate resource forecasts, ensuring service reliability for unexpected demand, and making key decisions that directly influence financial accountability, operational agility, and optimal resource utilization across the entire platform.
</li><li>The Autonomous Vehicles Cloud team is dedicated to accelerating the autonomous vehicles industry to L4 by serving as a premier AV data leader. Recently, we announced a partnership with NVIDIA to jointly develop a data factory for autonomous vehicle development. The team includes engineers with diverse backgrounds in embedded software, cloud computing, batch data processing, and ML research. We are looking for talent passionate about autonomous vehicles and eager to make a significant impact.
</li><li>The Marketplace Signals team at Uber is responsible for building and optimizing foundational marketplace signals that power user experiences and drive marketplace efficiency. Our team ensures that key signals-such as eyeball ETA, spinner time, and supply reliability indicators-are leveraged effectively across various Uber products and levers, enabling data-driven decision-making and seamless coordination across different business functions.
</li><li>Applied AI is a horizontal AI team at Uber partnering with product and platform teams across the company to deliver cutting-edge machine learning solutions for core business problems. The Computer Vision team in AppliedAI specializes in Generative AI, Foundation Model, and classical Computer Vision solutions, and the ML infrastructure needed to scale these systems in production.
</li><li>Fabric Controller brings together platforms that keep large scale systems resilient and easy to operate, including Cadence and Repair Engine. Cadence is an open source workflow orchestration engine that manages distributed state, retries, scaling, and recovery so teams can focus on business logic while supporting mission critical workloads across many industries. Repair Engine detects, diagnoses, and remediates issues by correlating signals across infrastructure and application layers through an ingestion pipeline and statistical analysis. An ML engine is being developed to improve diagnostics by learning patterns from historic issues, reducing false positives, and incorporating broader context such as workload types and traffic trends. Together these systems strengthen reliability, automation, and operational efficiency across the stack.
</li></ul>What You'll Do
<ul><li>Drive exciting, ambitious, previously unsolved projects from end to end
</li><li>Develop novel algorithms that use Uber data at global scale
</li><li>Thrive in an environment with ambiguous product requirements
</li><li>Collaborate closely with product managers and data scientists
</li><li>Be motivated to independently own and drive projects forward
</li><li>Have a passion to make Uber better for our customers
</li></ul>Basic Qualifications
<ul><li>Currently enrolled in a Ph.D. program studying computer science, machine learning, data mining, artificial intelligence, constrained optimization, statistics, or a related quantitative field
</li><li>Candidates must have at least one semester/quarter of their education left following the internship
</li><li>Knowledge of underlying technical foundations of statistics, machine learning, optimization, systems, etc.
</li><li>Experience in one or more object-oriented languages, including C++, Java, Python, or Go
</li></ul>Preferred Qualifications
<ul><li>Ability to communicate effectively with both technical and business partners
</li><li>Experience in simplifying/converting business problems into technical problems
</li>Research mentality with a bias towards action to structure a project from idea to experimentation to prototype to implementation 
<li>
</li></ul> 
 
For New York, NY-based roles: The base hourly rate amount for this role is USD$67.00 per hour. 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 Software Engineer Intern (Machine Learning), United States

Mercor

<div>
 
 Mercor is hiring experienced Python Engineers
 
 to support a variety of high-impact research collaborations with leading AI labs. Freelancers will help improve AI systems through work extending coding benchmarks that reflect real-world development across diverse languages and domains.
 
 
 This is a unique opportunity to apply your engineering expertise toward shaping the next generation of intelligent systems.
 
 
 
 Key Responsibilities
 
 
 
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 Develop and validate coding benchmarks in Python by curating issues, solutions, and test suites from real-world repositories
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 Ensure benchmark tasks include comprehensive unit and integration tests for solution verification
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 Maintain consistency and scalability of benchmark task distribution
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 Provide structured feedback on solution quality and clarity
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 Debug, optimize, and document benchmark code for reliability and reproducibility
 
 
 
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 </ul>
 
 Ideal Qualifications
 
 
 
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 3&ndash;10 years of experience as a backend software engineer, ML engineer, or applied data scientist
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 Degree in Software Engineering, Computer Science, or a related field
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 Strong proficiency in Python
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 Experience with debugging, testing, and validating code
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 Comfortable with technical writing and attention to detail
 
 
 
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 </ul>
 
 Project Timeline
 
 
 
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 Start Date: Immediate
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 Duration: 1 month
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 Commitment: Part-time (15&ndash;20 hours/week)
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 Schedule: Fully remote and asynchronous &ndash; flexible working hours
 
 
 
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 </ul>
 
 Compensation &amp; Contract
 
 
 
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 $80 per hour plus lucrative bonus per approved task (1 task takes approximately 1 hour to complete)
 </li>
 <ul>
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 Median average pay inclusive of bonuses is $200/hr
 
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 </ul>
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 Independent contractor
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 Daily payment via Stripe Connect
 
 
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 </ul>
 
 Application &amp; Onboarding Process
 
 
 
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 Upload your resume
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 AI interview: A short, 15-minute conversational session to understand your background, experience, and interest in the role
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 Brief assessment testing real-world coding ability, technical depth, and debugging approach
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 Follow-up communication within a few days with next steps and onboarding details
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 About Mercor **Mercor is a San Francisco-based company specializing in connecting elite professionals with cutting-edge AI initiatives. Our investors include Benchmark, General Catalyst, Adam D&rsquo;Angelo, Larry Summers, and Jack Dorsey. Thousands of professionals across engineering, research, and creative fields have partnered with Mercor on frontier projects shaping the future of AI.
 
 
 
 </li>
 </ul>
 
 Apply today and leverage your software engineering expertise to help build the future of AI-driven systems!
 
</div>

Backend Software Engineer: Python

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