Humana Technology Internship Jobs

About the Team The Intelligence & Investigations team helps OpenAI understand and respond to the risks that can accompany increasingly capable AI. Our work has two central responsibilities: investigating potential high-severity misuse or harm involving our models, and monitoring and characterizing risks to OpenAI, our users, and the broader world. We bring together analysts, investigators, engineers, and other subject matter experts to turn complex signals into a clearer picture of what matters and support informed action. About the Role As an engineer on Intelligence & Investigations Engineering, you will build the systems that support both sides of this mission: giving OpenAI’s leadership superhuman situational awareness of important risks and developments, and accelerating expert investigators and analysts as they assess potential high-severity misuse or harm. You will design, prototype, ship, and maintain end-to-end products that use OpenAI’s models and infrastructure to make sense of large, complex information environments. These systems will surface meaningful signals, synthesize important developments, and help people make well-informed decisions when the stakes are high. You will work directly with analysts, investigators, and other subject matter experts to understand their needs and build products that make their work faster, more effective, and more scalable. Your engineering work will be central to how the team investigates potential misuse, develops situational awareness, and informs decisions. We’re looking for engineers who combine strong technical and analytical skills with product judgment and the ability to move between rapid prototyping and reliable production systems. You should be comfortable working with ambiguous problems, complex data, and evolving AI capabilities—and excited to build tools that expand what human experts can understand and accomplish. This role is based in San Francisco, CA. We use a hybrid work model of 3 days in the

About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role Anthropic's research teams are pushing the boundaries of AI safety and capability research, and they need exceptional tools to do their best work. As a Software Engineer on the Research Tools team, you'll build the infrastructure and applications that enable our researchers to iterate quickly, run complex experiments, and extract insights from frontier AI systems. This role sits at the intersection of product thinking and full-stack engineering. You'll work directly with researchers and engineers to deeply understand their workflows, identify bottlenecks, and rapidly ship solutions that multiply their productivity. Whether you're building human feedback interfaces for model evaluation, creating platforms for experiment orchestration, or developing novel visualization tools for understanding model behavior, your work will directly accelerate our mission to build safe, reliable AI systems. We're looking for someone who can operate with high agency in an ambiguous environment—someone who can be dropped into a research team, quickly develop domain expertise, and independently drive impactful projects from conception to delivery. No ML or Research experience is required Responsibilities Build and maintain full-stack applications and infrastructure that researchers use daily to conduct experiments, collect feedback, and analyze results Partner closely with research teams to understand their workflows, pain points, and requirements, translating these into technical solutions Design intuitive interfaces and abstractions that make complex research tasks accessible and efficient Create reusable platforms and tools that accelerate

DataHub is an AI & Data Context Platform adopted by over 3,000 enterprises, including Apple, CVS Health, Netflix, and Visa. Innovated jointly with a thriving open-source community of 13,000+ members, DataHub's metadata graph provides in-depth context of AI and data assets with best-in-class scalability and extensibility. The company's enterprise SaaS offering, DataHub Cloud, delivers a fully managed solution with AI-powered discovery, observability, and governance capabilities. Organizations rely on DataHub solutions to accelerate time-to-value from their data investments, ensure AI system reliability, and implement unified governance, enabling AI & data to work together and bring order to data chaos. The Challenge As AI and data products become business-critical, enterprises face a metadata crisis: No unified way to track the complex data supply chain feeding AI systems Engineering teams struggling with data discovery, lineage, and governance Organizations needing machine-scale metadata management, not just human-browsable catalogs Why This Matters This is where infrastructure meets impact. The metadata layer you'll build will directly power the next generation of AI systems at massive scale. Your code will determine how safely and effectively thousands of organizations deploy AI, affecting millions of users worldwide. The Role We're looking for an exceptional Staff, Backend engineer to lead development of DataHub's Platform framework – the core that connects diverse data systems and powers our metadata collection capabilities. You'll Build Scalable, fault-tolerant ingestion systems for enterprise-scale metadata Clean, intuitive APIs for our connector ecosystem Event-driven architectures for real-time metadata processing Schema mapping between diverse systems and DataHub's unified model Versioning systems for AI assets (training data, model weights, embeddings) You Have 8+ years building production-grade distributed systems Advanced Python and API design ex

SpaceX was founded under the belief that a future where humanity is out exploring the stars is fundamentally more exciting than one where we are not. Today, SpaceX is actively developing the technologies to make this possible, with the ultimate goal of making life multiplanetary and expanding consciousness to the stars. SpaceXSI is building Super Intelligence to help humanity understand the universe. Our teams are building the full Super Intelligence stack: from our Colossus supercomputers, to Grok models, to our suite of applications, including Grok Bot, Grok Build, Grok Imagine, Grok Voice, and X. We're creating a powerful flywheel where more compute trains better models, better models power more useful products, and what we learn from people using those products shapes what we build next. ABOUT THE ROLE: As part of the Network Software and Services for AI (nssAI) team at SpaceXSI , you'll build cutting-edge software, services, and frameworks to empower our Network Development Engineers. Working hands-on, you’ll tackle all facets of network management—metric collection, configuration, zero-touch provisioning, monitoring, and auto-remediation—driving automation-first solutions for SpaceXSI's production and ancillary networks. Expect to develop extensible tools, streamline complex processes, and ensure rock-solid reliability to support SpaceXSI's mission of accelerating human scientific discovery through AI. RESPONSIBILITIES: Building software and tools with extensive metrics coverage for some of the world’s largest GPU supercomputing network fabrics used for AI training and serving customer inference queries. Implement IaC best practices, enhancing deployment pipelines, and ensuring robust, secure service delivery across our production environments. BASIC QUALIFICATIONS: Deep experience collaborating with network engineers daily using extensive knowledge of network topologies, physical and logical, and network protocols. Expert knowledge and proven history with des

About the Role As a Research Engineer at Metis, you’ll work on building the next generation of autonomous post-training systems that leverage our Mantis platform. You’ll operate at the intersection of cutting-edge ML research and scalable engineering, designing, implementing, and deploying algorithms that improve how AI agents learn from feedback, synthetic data, and real-world interactions. You’ll move seamlessly between papers and production, leading large-scale experiments, creating optimized training pipelines, and helping shape the future of post-training autonomy. You’ll have significant ownership, high compute budgets, and the mandate to push the state of the art in applied reinforcement and preference optimization. What You'll Do Research and help build an autonomous post-training agent leveraging the Mantis platform Design and execute large-scale experiments on synthetic data generation and algorithmic architecture Develop and refine methods for reinforcement learning, reward modeling, and human feedback integration Collaborate cross-functionally with Core and Platform Engineering to deploy and evaluate models in production settings Publish or contribute to leading-edge research in the post-training domain Use tooling and compute efficiently to iterate on experimental pipelines and accelerate research velocity Requirements Deep experience in machine learning, preferably reinforcement learning, post-training, or alignment research Demonstrated research contributions; ideally published papers (ICML, NeurIPS) or public implementations Strong proficiency in Python and ML frameworks (PyTorch, JAX, or TensorFlow) Comfort with distributed training, high-throughput data pipelines, and large-scale experiment management Ability to reason independently, formulate hypotheses, and run experiments from idea → insight → product impact Compensation & Benefits Base: $200,000–$1,000,000 Significant Equity Full medical, dental, and vision Wellness & L&D stipend Eq

About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role As a Mid-Market Account Executive on Anthropic's Industries team, you'll drive the adoption of safe, frontier AI by securing strategic deals with mid-market companies in key verticals, unlocking new value streams throughout their business. You'll leverage your consultative sales expertise and technical acumen to propel revenue growth while becoming a trusted partner to customers, helping them embed and deploy AI while uncovering its full range of capabilities. In collaboration with GTM, Product, Engineering, and cross-functional teams, you'll continuously refine our value proposition, sales methodology, and market positioning to ensure differentiated value across the landscape. You will be contributing to the GTM strategy for our Industries team, focusing on sector-specific solutions and strategies within key verticals. In addition, the Mid-Market team is pioneering a new scaled sales playbook, where human AEs direct AI Agents to automate key elements of the buyer’s journey, while maintaining human engagement with prospects in the elements of a sales process that can’t be automated. You should be passionate about building a fundamentally new sales motion, by experimenting with new programs and workflows, and ultimately evangelizing the potential of Transformative AI to mid-market companies across verticals. Responsibilities: Contribute to the Mid-Market GTM strategy, identifying new use cases within your assigned verticals, winning new business, and sharing feedback with cross-functional teams Drive strategic expansion within key accounts in established verticals and new logo acquisition within emerging vert

About us At Design Bridge and Partners, part of WPP, we design brands with the power to move. Pulling people towards them with an irresistible force that compels and connects. With 900 creative minds across 17 studios worldwide, diverse in expertise, experience, backgrounds and beliefs, we are united in our ambition to achieve real impact for our clients’ brands benefiting their business, people and the planet. With expertise across brand strategy, brand design, brand engagement and brand effectiveness our clients across the world include NASA Artemis, Unilever, Coca-Cola, Diageo, Mastercard, Intel, HSBC, Tencent, Twitch, Heineken, Reckitt and the BBC. About WPP WPP is the trusted growth partner for the world’s leading brands. We unite cutting-edge media intelligence and data solutions, world-class creativity, next-generation production, transformative enterprise solutions and expert strategic counsel in a single company – powered by exceptional talent and our agentic marketing platform, WPP Open, to help our clients navigate change, capture opportunity and deliver transformational growth. For more information, WPP.com . About the role We’re looking for a Senior Designer to join our London studio, someone who wants to create the best work of their career and play a meaningful role in shaping bold, idea-led brands. This is a hands-on creative role for someone who thrives on ideation and craft in equal measure. You’ll work across brand identity systems, campaigns, communications and brand worlds, helping to define clear, single-minded ideas and expressing them with distinctive personality. You’ll collaborate closely with Creative Directors, strategists and writers to translate human insight into compelling ideas, and ideas into beautifully crafted outcomes. You’ll help set the standard for creative excellence within the studio, presenting work internally and to clients with clarity and confidence. Alongside delivering your own projects, you’ll mentor more junior desig

Figma is growing our team of passionate creatives and builders on a mission to make design accessible to all. Figma’s platform helps teams bring ideas to life—whether you're brainstorming, creating a prototype, translating designs into code, or iterating with AI. From idea to product, Figma empowers teams to streamline workflows, move faster, and work together in real time from anywhere in the world. If you're excited to shape the future of design and collaboration, join us! Figma is seeking a versatile and experienced Machine Learning / AI Engineer to join our growing AI team, working at the intersection of applied machine learning, infrastructure, and product innovation. Whether you’re building intelligent search systems, crafting scalable data pipelines, or enhancing AI-powered creativity tools, your work will drive user productivity, shape new product experiences, and advance the state of AI at Figma. You’ll collaborate closely with engineers, researchers, designers, and product managers across multiple teams to deliver high-quality ML-driven features and infrastructure. This is a high-impact, cross-functional role where you’ll shape both foundational systems and user-facing capabilities. This is a full time role that can be held from one of our US hubs or remotely in the United States. What you’ll do at Figma: Design, build, and productionize ML models for Search, Discovery, Ranking, Retrieval-Augmented Generation (RAG), and generative AI features. Build and maintain scalable data pipelines to collect high-quality training and evaluation datasets, including annotation systems and human-in-the-loop workflows. Collaborate with AI researchers to iterate on datasets, evaluation metrics, and model architectures to improve quality and relevance. Work with product engineers to define and deliver impactful AI features across Figma’s platform. Partner with infrastructure engineers to develop and optimize systems for training, inference, monitoring, and deployment. Explo

About the Team The RL and Reasoning team drives the core reasoning paradigm and has created groundbreaking innovations such as o1 and o3. They focus on pushing the boundaries of reinforcement learning research, building next-generation generative models, and deploying them at scale. About the Role As a Research Engineer/Research Scientist at OpenAI, you will advance the frontier of AI alignment and capabilities through cutting-edge RL methods. Your work will sit at the heart of training intelligent, aligned, and general-purpose agents, including the systems that power various models. We’re looking for people who have a background in reinforcement learning research, are able to iterate quickly, and are proficient at coding. This role is based in San Francisco, CA. We use a hybrid work model of 3 days in the office per week and offer relocation assistance to new employees. You might thrive in this role if: You love being on the cutting edge of RL and language model research. You’re a self-starter who takes initiative and ownership of ideas, driving them to completion. You value principled approaches, simple experiments in tightly-controlled settings, and reaching trustworthy conclusions which stand the test of time. You thrive in a fast-paced, dynamic, and technically complex environment where rapid iteration is key. You’re comfortable diving into a large ML codebase to debug and improve it. You have a deep understanding of machine learning and machine learning applications. 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 ful

🚀 We’re on a mission to make money work for everyone. We’re waving goodbye to the complicated and confusing ways of traditional banking. After starting as a prepaid card, our product offering has grown a lot in the last 10 years in the UK. As well as personal and business bank accounts, we offer joint accounts , accounts for 16-17 year olds , a free kids account and credit cards in the UK, with more exciting things to come beyond. Our UK customers can also save , invest and combine their pensions with us. With our hot coral cards and get-paid-early feature, combined with financial education on social media and our award winning customer service, we have a long history of creating magical moments for our customers! We’re not about selling products - we want to solve problems and change lives through Monzo ❤️ 📍London (Hybrid) / UK Remote | 💰 £90,000 - £120,000 + Incentive Awards tied to your performance + Benefits ⭐Our Design team We’re a team of 115+ designers, researchers, and brand experts led by Chief Design Officer Vuokko Aro. We’re on a mission to make money work for everyone. Product Design makes up almost half of our design disciplines, working in tight-knit squads alongside research, product, and engineering to solve real customer problems at scale. We design for the "magic moments" We’ve built a bank that feels human, not just functional. Our product is our personality. We blend research, empathy, and craft to turn everyday interactions into memorable experiences. Right now, we’re growing fast and looking for passionate designers to shape Monzo’s future and there’s a huge opportunity to make your mark. Applying to this role, you’ll be in a standard hiring process for a Lead Product Designer, and we’ll find the perfect team for you along the way. 🔑You’ll play a key role by... Tackling the most complex and ambiguous design challenges, turning complexity into elegant, scalable solutions that empower teams

Job Title: Echocardiographer Location: Gateshead Start: ASAP Duration: 4 Months Rate: £50 Working Hours: Full-time Are you a skilled echocardiographer looking to make a meaningful impact in patient care? Join our client's dedicated healthcare team in Gateshead, where your expertise will be highly valued, and your professional growth supported. We offer a collaborative and dynamic environment, allowing you to thrive while contributing to the health and well-being of our community. If you're passionate about cardiac imaging and eager to advance your career, we invite you to apply for this exciting opportunity. Key Responsibilities: In this role, you will perform echocardiograms to capture detailed images of the heart, assisting in the diagnosis and treatment of cardiac conditions. You'll interpret the results, prepare reports for cardiologists, and ensure the maintenance and calibration of diagnostic equipment. Your expertise will be crucial in monitoring patients during stress tests and other cardiac procedures, contributing significantly to accurate diagnoses and effective treatment plans. Qualifications and Experience: Bachelor's degree in Cardiac Physiology or a relevant scientific subject (e.g., Pure or Applied Physics, Biology, Human Biology, or Sports Science with significant scientific content) Certification from recognised professional bodies such as the British Society of Echocardiography (BSE) Minimum of 2 years' experience in echocardiography or a related clinical setting Strong understanding of cardiovascular anatomy and physiology Proficiency in operating and troubleshooting echocardiographic equipment Ability to analyse and interpret echocardiographic data Why Work with Pulse? From the moment you register with us, our focus is entirely on you. During our first conversation, you will quickly see that we understand your specialty inside and out. Our expert recruitment consultants are dedicated to finding you the best op

About the Team The Safety Systems team is dedicated to ensuring the safety, robustness, and reliability of AI models and their deployment in the real world. Learn more about OpenAI’s approach to safety. Building on the many years of our practical alignment work and applied safety efforts, Safety Systems addresses emerging safety issues and develops new fundamental solutions to enable the safe deployment of our most advanced models and future AGI, to make AI that is beneficial and trustworthy. About the Role At OpenAI, we're dedicated to advancing artificial intelligence, and we know that creating a secure and reliable platform is vital to our mission. That's why we're seeking a software engineer to help us build out our trust and safety capabilities. In this role, you'll work with our entire engineering team to design and implement systems that detect and prevent abuse, promote user safety, and reduce risk across our platform. You'll be at the forefront of our efforts to ensure that the immense potential of AI is harnessed in a responsible and sustainable manner. Your Responsibilities: Architect, build, and maintain anti-abuse and content moderation infrastructure designed to protect us and end users from unwanted behavior. Work closely with our other engineers and researchers to utilize both industry standard and novel AI techniques to measure, monitor and improve AI models’ alignment to human values. . Diagnose and remediate active incidents on the platform and build new tooling and infrastructure that address the root causes of system failure. You might thrive in this role if: You have built and run production services in a high growth, rapidly scaling environment. You can debug live issues and restore systems quickly. You have worked on content safety, fraud, or abuse, or are motivated and excited to work on present-day (“now-term”) AI safety. You have experience with Python or with modern languages such as C++, Rust, or Go, and are able to quickly ramp up on Py

About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role: Anthropic's Application Security team secures the systems that build, serve, and increasingly are Claude. The attack surface is unlike most AppSec work: multi-agent orchestration, sandboxed code execution, agents holding delegated credentials, untrusted tool output crossing trust boundaries — problems with little prior art and no off-the-shelf playbook. The way the team works is also different. We use Claude as our primary tool across every part of the job: it drives our static analysis, drafts and fixes vulnerabilities as pull requests, performs first-line bug bounty triage, and assists threat modeling for design reviews. The human work is the judgment layer — system-level reasoning, deciding what matters, and building the next thing the model can't do yet. This is a builder's role on a senior team. We hire engineers who ship production systems and clear a hands-on threat-modeling bar — people who can find the vulnerability but would rather build the system that finds them all. Every engineer owns a system end-to-end, and the team's work has shaped customer-facing product security — including Claude Code's security review tooling, its security guidance plugin, sandboxing, and auto mode. Key responsibilities: Design, build, and operate Claude-powered security systems — LLM-driven code analysis, automated vulnerability remediation, AI-assisted threat modeling — and own one or more of them end-to-end, including the cross-functional relationships that come with it Lead secure design reviews and threat modeling for novel AI systems, identifying risks that don't map to existing frameworks Evolve a public bug bounty program

OKX will be prioritising applicants who have a current right to work in Singapore, and do not require OKX's sponsorship of a visa. Who We Are At OKX, we believe that the future will be reshaped by crypto, and ultimately contribute to every individual's freedom. OKX is a leading crypto exchange, and the developer of OKX Wallet, giving millions access to crypto trading and decentralized crypto applications (dApps). OKX is also a trusted brand by hundreds of large institutions seeking access to crypto markets. We are safe and reliable, backed by our Proof of Reserves. Across our multiple offices globally, we are united by our core principles: We Before Me , Do the Right Thing , and Get Things Done . These shared values drive our culture, shape our processes, and foster a friendly, rewarding, and diverse environment for every OK-er. OKX is part of OKG, a group that brings the value of Blockchain to users around the world, through our leading products OKX, OKX Wallet, OKLink and more. About the Opportunity Join the team building Agentic OKDS—OKG’s design intelligence infrastructure and the operating system between human intent and AI-generated output. You will contribute across three connected capability areas: Foundations, including token architecture for color, spacing, and radius; Components, spanning OKDS core components, business components, and AI-ready architecture; and Templates + AI Tooling, covering template systems, AI transformation infrastructure, and pipeline readiness. Your primary assignment may change based on team needs, while you build the breadth to work effectively across all three. You will combine strong craft with design-engineering judgment to improve reuse, adoption, delivery speed, and implementation quality. What You’ll Be Doing Own scoped initiatives across Foundations, Components, or Templates + AI Tooling—from research and reuse validation through specification, release, adoption, and iteration—while contributing effect

ABOUT CUBIST Cubist Systematic Strategies, an affiliate of Point72, deploys systematic, computer-driven trading strategies across multiple liquid asset classes, including equities, futures and foreign exchange. The core of our effort is rigorous research into a wide range of market anomalies, fueled by our unparalleled access to a wide range of publicly available data sources. JOB DESCRIPTION Researchers are responsible for independently conducting quantitative finance research with a focus on statistical and predictive models. Successful researchers manage all aspects of the research process including methodology selection, data collection and analysis, testing, prototyping, backtesting, and performance monitoring. Some successful researchers have joined us from similar backgrounds at other firms. Others have joined from related fields or directly from academia and have thrived with hands on guidance from our large team of experienced portfolio managers and researchers. Our most exceptional team members combine strong technical skills and a passion for problem solving with an intense curiosity about financial markets and human behavior. DESIRABLE CANDIDATES MS or PhD candidates in finance, computer science, mathematics, physics, or other quantitative discipline 3-7 years of experience in alpha driven quantitative research for equities, futures, fixed income, credit, and/or FX Strong analytical and quantitative skills Demonstrated ability to conduct independent research utilizing large data sets Programming in any of the following: C++, Java, C#, MATLAB, R, Python, or Perl Detail-oriented Willing to take ownership of his/her work, working both independently and within a small team We’re looking for exceptional colleagues with unparalleled passion. If you’d like your resume to stand out, tell us about your exceptional personal achievements, even if they have nothing to do with finance. Of course we love to hear more about specific engineering or data projects that yo