Explore 4 python intern jobs from 2 hiring companies in Sun Valley, NV, US. Filter by remote, salary, experience, and company, then open any listing to apply.

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Python Intern Jobs

Socure

Desert Research Institute

Remote

Onsite

<h2>Why Socure?</h2>Socure is building the identity trust infrastructure for the digital economy — verifying 100% of good identities in real time and stopping fraud before it starts. The mission is big, the problems are complex, and the impact is felt by businesses, governments, and millions of people every day.We hire people who want that level of responsibility. People who move fast, think critically, act like owners, and care deeply about solving customer problems with precision. If you want predictability or narrow scope, this won’t be your place. If you want to help build the future of identity with a team that holds a high bar for itself — keep reading.<div><div style="left:0;width:100%;height:0;position:relative;padding-bottom:56.338%"><iframe src="https://embedded-media.ashbyhq.com/embed/f47d1f69-9ec3-4b39-a4ac-f777b1c17492/868e13ef-833e-4d43-8789-7af398acc5d8" style="top:0;left:0;width:100%;height:100%;position:absolute;border:0" allowfullscreen scrolling="no" allow="encrypted-media *; picture-in-picture *;" sandbox="allow-scripts allow-same-origin allow-presentation"></iframe></div></div><h2>What You'll Do</h2>This internship offers a unique opportunity to work at the intersection of Document Verification (DocV), Digital Intelligence (DI), fraud detection, and behavioral analytics. The core focus is on exploring how behavioral and device signals—such as interaction timing, motion data, and environmental context—can be leveraged to better understand user sessions and strengthen fraud detection systems. The successful intern will evaluate, prototype, and demonstrate how these signals can improve decisioning accuracy, enhance system robustness, and be integrated into DocV and RiskOS workflows. You will not just observe; you will build, analyze, and deliver a portfolio-ready prototype that informs future detection and risk capabilities.<ol style="min-height:1.5em"><li>Data Instrumentation &amp; Collection - Instrument code to collect behavioral and device signals. Deliver a clean, structured dataset.</li><li>Signal Analysis &amp; Feature Engineering - Analyze data and engineer features. Deliver analysis showing signal impact.</li><li>Detection Prototyping - Develop detection or scoring logic. Deliver a working proof-of-concept with metrics.</li></ol>4. Integration &amp; Documentation - Map integration points and document findings. Deliver technical documentation and presentation.<h2>What You Bring</h2>Required:<ul style="min-height:1.5em"><li>Pursuing a degree in Computer Science, Engineering, Data Science, or similar</li><li>Experience in Go, Python, or Java</li><li>Familiarity with data analysis or ML concepts</li><li>Understanding of APIs and backend systems</li><li>Ability to work through ambiguity and iterate quickly</li><li>Strong communication skills</li></ul>Nice to Have:<ul style="min-height:1.5em"><li>Exposure to fraud, identity, or security domains</li><li>Experience with behavioral or event-based data</li><li>Familiarity with SQL, Spark, or large-scale data tools</li><li>Experience with dashboards or data visualization</li></ul><h1></h1>Socure is an equal opportunity employer that values diversity in all its forms within our company. We do not discriminate based on race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. If you need an accommodation during any stage of the application or hiring process—including interview or onboarding support—please reach out to your Socure recruiting partner directly. Follow Us!<a target="_blank" rel="noopener" href="https://www.youtube.com/c/Socure">YouTube</a> | <a target="_blank" rel="noopener noreferrer nofollow" href="https://www.linkedin.com/company/socure/">LinkedIn</a> | <a target="_blank" rel="noopener" href="https://x.com/socureme">X (Twitter)</a> | <a target="_blank" rel="noopener" href="https://www.facebook.com/socure/">Facebook</a>

Engineering Intern-DocV & Device 

Engineering Intern

Pursuing a degree in CS/Engineering/Data Science; experience with Go, Python, or Java; familiarity with data analysis/ML concepts; understanding of APIs/backend systems; ability to work through ambiguity and iterate; strong communication.

<h2>Why Socure?</h2>Socure is building the identity trust infrastructure for the digital economy — verifying 100% of good identities in real time and stopping fraud before it starts. The mission is big, the problems are complex, and the impact is felt by businesses, governments, and millions of people every day.We hire people who want that level of responsibility. People who move fast, think critically, act like owners, and care deeply about solving customer problems with precision. If you want predictability or narrow scope, this won’t be your place. If you want to help build the future of identity with a team that holds a high bar for itself — keep reading.<div><div style="left:0;width:100%;height:0;position:relative;padding-bottom:56.338%"><iframe src="https://embedded-media.ashbyhq.com/embed/f47d1f69-9ec3-4b39-a4ac-f777b1c17492/868e13ef-833e-4d43-8789-7af398acc5d8" style="top:0;left:0;width:100%;height:100%;position:absolute;border:0" allowfullscreen scrolling="no" allow="encrypted-media *; picture-in-picture *;" sandbox="allow-scripts allow-same-origin allow-presentation"></iframe></div></div><h2>About the Role</h2>Socure is looking for Software Engineering Interns to join the RiskOS team for a hands-on summer internship. RiskOS is Socure's real-time risk decisioning platform — used by financial institutions for identity verification, fraud detection, and compliance workflows. This role is for current master's students who want to build strong engineering skills while working on AI agents, data reporting pipelines, and product features that serve real customers.During the internship, you will work alongside experienced engineers on projects spanning AI agent development, analytics infrastructure, and full-stack product work.<h2>What You’ll Do</h2><ul style="min-height:1.5em"><li>Work with senior engineers to design, build, test, and ship product features across backend and frontend.</li><li>Write clean, readable, and well-tested code that follows team standards and code review practices.</li><li>Build and extend AI agents that power RiskOS.</li><li>Contribute to data reporting and analytics infrastructure — build parameterized report templates, extend the real-time analytics pipeline, and improve embedded dashboards.</li><li>Support backend development including APIs, data processing, and internal tools in Go.</li><li>Learn how software runs in production, including containers, CI/CD, cloud environments, monitoring, and logging.</li><li>Take part in agile team activities such as standups, sprint planning, and retrospectives.</li><li>Document designs, technical decisions, and usage notes so other engineers can build on your work.</li><li>Own a clearly scoped internship project from design to handoff by the end of the program. </li></ul><h2>What You Bring</h2>Education<ul style="min-height:1.5em"><li>Currently enrolled in a Master's degree program in Computer Science, Computer Engineering, or a related technical field.</li><li>Internship is intended for active students whose studies align with the work.</li></ul>Preferred Experience<ul style="min-height:1.5em"><li>Prior software development experience through a full-time role, internship, or similar hands-on work.</li><li>Coursework or project experience in any of: AI/ML systems, LLM applications, data engineering, or distributed systems.</li></ul>Technical Fundamentals<ul style="min-height:1.5em"><li>Strong understanding of data structures, algorithms, complexity, and basic system design.</li><li>Basic understanding of backend services, APIs, databases, queues, and how web applications work end to end.</li><li>Basic understanding of frontend fundamentals and at least one modern framework such as React, Angular, or Vue.</li><li>Basic understanding of servers, cloud environments, containers, and monitoring and logging concepts.</li><li>Basic proficiency in at least one backend programming language such as Go, Java, or Python.</li><li>Familiarity with Git and common software development workflows.</li></ul>Socure is an equal opportunity employer that values diversity in all its forms within our company. We do not discriminate based on race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. If you need an accommodation during any stage of the application or hiring process—including interview or onboarding support—please reach out to your Socure recruiting partner directly. Follow Us!<a target="_blank" rel="noopener" href="https://www.youtube.com/c/Socure">YouTube</a> | <a target="_blank" rel="noopener noreferrer nofollow" href="https://www.linkedin.com/company/socure/">LinkedIn</a> | <a target="_blank" rel="noopener" href="https://x.com/socureme">X (Twitter)</a> | <a target="_blank" rel="noopener" href="https://www.facebook.com/socure/">Facebook</a>

Engineering Intern- AI Agents, Data & RiskOS

Master's student in computer science/engineering; active enrollment; internship aligned with studies; software development experience; knowledge of AI/ML, data engineering, or distributed systems preferred.

<h2>Why Socure?</h2>Socure is building the identity trust infrastructure for the digital economy — verifying 100% of good identities in real time and stopping fraud before it starts. The mission is big, the problems are complex, and the impact is felt by businesses, governments, and millions of people every day.We hire people who want that level of responsibility. People who move fast, think critically, act like owners, and care deeply about solving customer problems with precision. If you want predictability or narrow scope, this won’t be your place. If you want to help build the future of identity with a team that holds a high bar for itself — keep reading.<div><div style="left:0;width:100%;height:0;position:relative;padding-bottom:56.338%"><iframe src="https://embedded-media.ashbyhq.com/embed/f47d1f69-9ec3-4b39-a4ac-f777b1c17492/868e13ef-833e-4d43-8789-7af398acc5d8" style="top:0;left:0;width:100%;height:100%;position:absolute;border:0" allowfullscreen scrolling="no" allow="encrypted-media *; picture-in-picture *;" sandbox="allow-scripts allow-same-origin allow-presentation"></iframe></div></div><h2>About the Role</h2>The Big Data R&amp;D team builds the core entity‑resolution and graph‑based intelligence that underpins Socure’s Verify and KYC products. As a Senior Data Scientist focused on international eKYC, you will be a technical leader driving the next generation of global identity verification solutions. You will design and deploy ML and graph-based systems tailored to diverse international markets, regulations, and data ecosystems—covering government IDs, telco and credit bureaus, mobile-first data, and non‑traditional signals.You will own complex, cross‑product initiatives such as international identity graph evolution, probabilistic matching for non‑US identities, and scalable evaluation frameworks that account for regional regulatory and fairness constraints. You will closely partner with Product, Engineering, Compliance, and GTM teams to launch and scale eKYC solutions across multiple countries and regions.<h2>What You'll Do</h2>International eKYC Modeling &amp; Entity Resolution<ul style="min-height:1.5em"><li>Lead the design, development, and deployment of ML and graph-based algorithms for international entity resolution, identity trust scoring, and anomaly detection across heterogeneous, country‑specific datasets.</li><li>Architect reusable matching and linking frameworks that work across multiple ID schemes (e.g., national ID numbers, passports, voter IDs, mobile accounts, bank accounts) and local name/address conventions.</li><li>Develop probabilistic and rule‑augmented models that handle noisy, sparse, or partially labeled international data while maintaining explainability and regulatory defensibility.</li></ul>Global Identity Graph &amp; Data Quality<ul style="min-height:1.5em"><li>Define and evolve the international extension of Socure’s identity graph: schema design, linkage strategies, quality tiers, and confidence scoring that can be leveraged by multiple products (Verify, KYC, watchlists, fraud).</li><li>Design and implement robust data quality and monitoring frameworks for international identity data (coverage, stability, drift, regional bias, label quality) and integrate them into modeling and production monitoring workflows.</li><li>Build scalable approaches for handling linguistic and cultural variation (e.g., transliteration, multi‑script names, address normalization, local naming patterns) in the identity graph and matching pipelines.</li></ul>Evaluation, Experimentation, and Model Governance<ul style="min-height:1.5em"><li>Own experimentation strategy for major international eKYC initiatives:</li><li>Design offline evaluations and online A/B tests that reflect local ground truth constraints and data sparsity.</li><li>Define success metrics that balance approval rates, fraud capture, and regulatory/operational constraints per market.</li><li>Analyze lift, stability, and fairness trade‑offs and drive go/no‑go decisions with Product and Engineering.</li><li>Define and maintain evaluation frameworks specific to international eKYC (e.g., regional coverage maps, cross‑border identity leakage, local demographic impact, regulatory thresholds).</li><li>Contribute to model governance documentation and support responses to regulators and large enterprise customers regarding model logic, data provenance, fairness, and monitoring for international markets.</li></ul>Data Source Strategy &amp; Vendor Evaluation (International)<ul style="min-height:1.5em"><li>Lead the evaluation and integration of international data vendors (e.g., bureaus, telcos, public records, alternative data):</li><li>Design benchmarking methodologies for signal quality, incremental value, stability, and fairness by country/segment.</li><li>Quantify ROI and trade‑offs across multiple vendors and data types; provide clear recommendations that influence product and commercial decisions.</li><li>Partner with Data Acquisition, Legal, and Compliance to ensure that data usage and modeling approaches meet regional regulatory requirements (e.g., GDPR and local privacy/AML/KYC rules).</li></ul>Technical Leadership &amp; Cross‑Functional Partnership<ul style="min-height:1.5em"><li>Collaborate with engineering leaders to design scalable, reliable international data and model pipelines using Spark/PySpark, AWS (EMR, S3, SageMaker, Neptune), and modern MLOps workflows.</li><li>Act as a subject‑matter expert on international identity, eKYC regulations, and cross‑border data limitations for internal stakeholders, supporting complex customer questions and strategic roadmap discussions.</li><li>Mentor Data Scientists and Senior Data Scientists on best practices for international modeling: handling low‑label regimes, domain adaptation, localization of thresholds/logic, and building reusable abstractions instead of one‑off country fixes.</li><li>Communicate strategy, progress, and results to senior leadership and cross‑functional partners through clear documents and presentations, framing complex technical work in terms of business impact, regional risk, and regulatory trade‑offs. </li></ul><h2>What You Bring</h2>Education &amp; Experience<ul style="min-height:1.5em"><li>Master’s or Ph.D. in Computer Science, Data Science, Machine Learning, Statistics, Mathematics, or a related field, or equivalent practical experience.</li><li>6+ years of hands-on applied ML / data science experience (4+ with Ph.D.), including owning production models and pipelines in high‑stakes domains (fraud, risk, identity, payments, credit, or similar).</li><li>Significant prior work on international or multi‑region products is strongly preferred (e.g., cross‑country KYC, credit risk, payments, or compliance systems).</li></ul>Technical Skills<ul style="min-height:1.5em"><li>Expert‑level proficiency in Python and SQL, with extensive experience in distributed data processing (Spark/PySpark, Databricks or similar) on very large datasets.</li><li>Deep experience designing, training, and deploying models for classification, ranking, anomaly detection, and/or graph learning, including:</li><li>Feature engineering for noisy/heterogeneous identity data.</li><li>Robust evaluation under label sparsity and feedback delays.</li><li>Calibration and thresholding tailored to regional risk and regulatory constraints.</li><li>Proven expertise with graph technologies (e.g., Neo4j, AWS Neptune, GraphFrames, DGL, PyTorch Geometric) and graph algorithms (entity resolution, link prediction, community detection, label propagation) at scale.</li></ul><h3></h3>Please note that sponsorship is not available at this time; and that you must be located within 45 miles of a talent hub to be considered.Socure is an equal opportunity employer that values diversity in all its forms within our company. We do not discriminate based on race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. If you need an accommodation during any stage of the application or hiring process—including interview or onboarding support—please reach out to your Socure recruiting partner directly. Follow Us!<a target="_blank" rel="noopener" href="https://www.youtube.com/c/Socure">YouTube</a> | <a target="_blank" rel="noopener noreferrer nofollow" href="https://www.linkedin.com/company/socure/">LinkedIn</a> | <a target="_blank" rel="noopener" href="https://x.com/socureme">X (Twitter)</a> | <a target="_blank" rel="noopener" href="https://www.facebook.com/socure/">Facebook</a>

Senior Data Scientist - International eKYC, Identity Graph

Senior Data Scientist

6+ years ML/data science; production models; international/multi-region experience; Python/SQL; graph analytics.

Thank you for your interest in employment with the Desert Research Institute.&nbsp; We want your &nbsp;application process to go smoothly and quickly. &nbsp;We ask that you keep in mind the following when completing your application:<ul><li>Once you start the application process you cannot save your work. Please ensure you have all required attachment(s) available to complete your application before you begin the process.</li><li>Required attachments are listed below on the posting. Your application will not be considered without the required attachments.</li><li>Please see the application instructions under each posting for information on submittal deadlines.</li></ul>If you need assistance or have questions regarding the application process, contact Human Resources Hotline at (775) 673-7431&nbsp;or <a href="mailto:recruit@dri.edu" target="_blank">recruit@dri.edu</a>.Job DescriptionThe Gautam Laboratory for Aerosol Optics and Microphysics at the Desert Research Institute (DRI) invites applications for a graduate-level research internship focused on the development of next generation optical instrumentation for particulate matter (PM) characterization. This internship is designed for highly motivated MS/PhD students interested in experimental optics, environmental sensing, and aerosol physics, with an emphasis on designing and building advanced light-scattering instruments for real-world applications in air quality, climate science, and remote sensing.Research ScopeInterns will work on the development and testing of a wide-angle, polarization-resolved aerosol scatteringinstrument, including:1. Design and implementation of multi-angle light scattering systems (forward, side, back scattering)2. Optical system design (lenses, mirrors, beam shaping, detectors)3. Integration of multi-channel detection systems4. Real-time data acquisition and signal processing5. Calibration and validation using laboratory-generated aerosols (Dust, Soot, PSL)<h2>Key Responsibilities</h2>1. Contribute to instrument design, alignment, and optimization2. Develop and test optical measurement setups3. Work with lasers, detectors, and precision optical components4. Perform laboratory experiments and data acquisition5. Analyze scattering data and interpret results in terms of aerosol properties<h2></h2><h2>Required Qualifications </h2><ul><li>Current MS or PhD student in: Physics, Optical Engineering, Electrical/Mechanical Engineering, or Environmental Engineering</li><li>Strong background in: Optics / Electromagnetics / Light scattering</li><li>Strong background in experimental methods</li></ul><h2>Preferred Qualifications </h2><ul><li>Hands-on experience with optical instrumentation or lab systems</li><li>Familiarity with lasers, photodetectors, and optical alignment</li><li>Familiarity with data acquisition systems (DAQ, electronics)</li><li>Familiarity with programming (Python, MATLAB, LabVIEW, etc.)</li><li>Experience in Sub-to-Super Micron Particle Characterization</li><li>Experience in signal processing</li><li>Ability to work independently on complex experimental systems</li></ul><h2>Compensation Grade </h2>Master’s Students: $23.60/hrPhD Students: $25.90/hr<h2>Schedule </h2>Summer (10-12 weeks), flexible hoursExemptNoFull-Time Equivalent&nbsp;45.0%Required Attachment(s)Please contact <a href="mailto:jobs&#64;dri.edu" target="_blank">jobs&#64;dri.edu</a> if assistance is needed with DRI’s Workday application system.1. Cover letter detailing how your experience and qualifications prepare you for this job.2. Current resume/CVQualified individuals are encouraged to apply immediately. Recruitment will close without notice when a sufficient number of applications are received, or a hiring decision has been made. For questions regarding this position, please call the recruiting office at 775-673-7431.Posting Close DateNote to ApplicantApplicants should fully describe their qualifications and experience with specific reference to each of the minimum and preferred qualifications. The search committee will use this information during the initial review of application materials.&nbsp;&nbsp;References will be contacted at the appropriate phase of the recruitment process based on applicant notification and permission.Newly hired faculty and postdoctoral fellows must assure that their official transcript is submitted to the Human Resources Office within 30 calendar days from the effective date of employment.&nbsp; Academic degrees must have been awarded by regionally accredited institutions.This position may require a criminal background check to be conducted on the candidate(s) selected for hire.As part of the hiring process, applicants for positions in the Nevada System of Higher Education may be required to demonstrate the ability to perform job-related tasks.DRI employs only U.S. citizens and aliens authorized to work in the U.S. DRI only sponsors aliens applying for research faculty or postdoctoral fellow positions (J-1 or H-1B Visas).All applicants hired by the Desert Research Institute are subject to E-Verify.

Graduate Research Intern

Graduate-level internship in optics and aerosol scattering; MS/PhD student; experience in optics, experimental methods; programming experience preferred.

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