Machine Learning Engineer intern - Part-Time

ABOUT THE TEAM EQT Digital is a specialist team of ~25 people globally embedded within EQT's Deal Services function, working across the full investment lifecycle to drive digital and AI-enabled value creation within EQT's portfolio. We focus on the larger companies in EQT's private equity and infrastructure buy-out funds, partnering closely with deal teams, portfolio company leadership and external advisors to translate technology capability into commercial outcomes. As a team, we operate at the intersection of data, technology and value creation, and we are building the internal infrastructure to make our collective knowledge compound over time. This internship would be a direct contribution to that effort. ABOUT THE ROLE EQT Digital has started defining a target architecture for its internal knowledge and intelligence layer: a structured, queryable data asset that captures technology, AI and digital project intelligence across EQT's portfolio. The goal is a data layer that every team member can access and continuously enrich, and that can be selectively surfaced to the broader EQT organisation and portfolio companies to generate insight from unique knowledge from our (mostly) unstructured data. As an AI Engineer Intern, you will own the data pipelines to ingest unstructured data, parse and extract information, and design a data model that ensures the system is appropriately set up for users to consume on different interfaces. Concretely, you will: * Work with the EQT Digital and broader EQT teams to define most valuable data assets / information to extract * Design and implement document parsing pipelines to extract structured intelligence from unstructured sources, including text documents, slides, and internal correspondence (email, messaging platforms), applying prompt engineering techniques to maximize accuracy and consistency across document types and formats * Develop evaluation pipelines to monitor correctness and coverage of the extracted information * Define data model for structured storage in Google BigQuery * Stabilize the pipelines for production use in Google Cloud, including error handling, logging, alerting, and output quality checks * Define consumption interfaces for the extracted data * Document architecture decisions, data model choices and pipeline behaviour so the system can be handed over, maintained and extended ABOUT YOU You are a Master's student with hands-on AI engineering experience and a strong instinct for building things that solve users’ problems and can be productized. You are comfortable with ambiguity, ask questions before writing any code, and  can reason about how solutions or features bring value to the team (in order to arbitrate & prioritize requests). WHAT YOU'LL BRING * Master's-level training in computer science, data science, machine learning or a related technical field (you can be in the process of completing your Master), with practical AI engineering experience beyond coursework * Solid Python skills and experience with cloud database and pipeline products * Hands-on experience with LLM APIs and prompt engineering: you know how to design prompts for structured extraction, how to evaluate output quality, and how to iterate when results are inconsistent * Familiarity with modern AI tooling, LLM APIs and established libraries * Experience designing data models to make data easy to query and expose * Ability to work independently on a scoped problem, including technical development and interacting with domain experts to make informed decisions * Ability to communicate progress clearly to a non-engineering audience USEFUL BUT NOT REQUIRED * Comfort with the GCP ecosystem — BigQuery and Cloud Run experience is useful * Exposure to Terraform is a plus * Familiarity with Airtable as a lightweight data layer alongside more structured warehousing approaches; and with orchestration tools such as Dust * Interest in private equity or investment management contexts: you don't need a finance background, but intellectual curiosity about what we do is important WHAT SUCCESS LOOKS LIKE We aim to work in sprints, defining which data sources are priority to ingest as part of our knowledge base  and then working from raw ingestion through to a working consumption interface, with a data model designed, pipeline automated, and output queryable by the team. A successful internship means several of those data sources are ingested in the knowledge base and in active use by the team before you leave. Concretely: * Each data source you take on is fully operational end-to-end: ingested, parsed, structured in BigQuery, automated on GCP, and accessible via at least one interface. Extraction quality is measurable and documented: the team can see what confidence looks like and trust the output * Each iteration is documented as you go  The order of data sources and the scope of each iteration will be agreed at the start and re-evaluated regularly. We stay agile: if an earlier source surfaces unexpected complexity, we adapt rather than push through WHAT WE OFFER * Ownership of a meaningful technical problem * Direct collaboration with a small, senior team with diverse profiles (all coming from Tech backgrounds & companies) * Exposure to how a global PE firm thinks about data, AI and technology across a portfolio of approximately 200 companies * Opportunity to see your work move into production and be used by the team before your internship ends LOGISTICS Duration: 6 months (flexible depending on availability and academic calendar) Location: London  Start date: September or October 2026, Visa Sponsorship available Inclusion at EQT Our vision for EQT employees is to build high performing & engaged teams. Our competitive edge comes from fostering an environment where every individual feels valued, empowered, and motivated to drive business impact. Our commitment to inclusion is not just about fairness; We understand and believe that being a great place to work drives the best performance.At EQT, inclusion is a business imperative and it's embedded into our talent strategy, decision-making, and culture to ensure that every individual and team operates at their full potential. By doing so, we unlock better collaboration, stronger innovation, and superior investment outcomes. About EQT EQT is a purpose-driven global investment organization focused on active ownership strategies. With a Nordic heritage and a global mindset, EQT has a track record of over three decades of developing companies across multiple geographies, sectors and strategies. EQT has investment strategies covering all phases of a business’ development, from start-up to maturity. EQT has EUR ‌ 270 billion in total assets under management (EUR ‌ ‌141 billion in fee-generating assets under management), within two business segments – Private Capital and Real Assets. With its roots in the Wallenberg family’s entrepreneurial mindset and philosophy of long-term ownership, EQT is guided by a set of strong values and a distinct corporate culture. EQT manages and advises funds and vehicles that invest across the world with the mission to future-proof companies, generate attractive returns and make a positive impact with everything EQT does. EQT has offices in more than 25 countries across Europe, Asia and the Americas and has more than 1,900 employees. More info: www.eqtgroup.com Follow EQT on LinkedIn, X, YouTube and Instagram

About Zscaler Zscaler accelerates digital transformation to ensure our customers can be more agile, efficient, resilient, and secure. As an AI-forward enterprise, we are constantly pushing the envelope, leveraging the world’s largest security data lake to power our cloud-native Zero Trust Exchange platform. This innovation protects our customers from cyberattacks and data loss by securely connecting users, devices, and applications in any location. Here, impact in your role matters more than title and trust is built on results. We say, impact over activity. We seek innovators who actively use AI to amplify their impact and who thrive in an environment where we leverage intelligent systems to stay ahead of evolving threats. We believe in transparency and value constructive, honest debate—we’re focused on getting to the best ideas, faster. We build high-performing teams that can make an impact quickly and with high quality. To do this, we are building a culture of execution centered on customer obsession, collaboration, ownership, and accountability. We value high-impact, high-accountability with a sense of urgency where you’re enabled to do your best work and embrace your potential. If you’re driven by purpose, thrive on solving complex challenges, and want to be part of the team that’s helping to secure the AI age, we invite you to bring your talents to Zscaler and help shape the future of cybersecurity. Role We are looking for a Detection Engineer- SkillBridge Intern to join our team. This is a remote role, reporting to the Manager, Detection Engineering in the Red Canary R&D (185) department. The security landscape is always shifting and introducing new adversaries. Red Canary operates 24/7 to track down threats using the entirety of our customer’s data and deliver fast and practical detections to our customers. Together, we create a customer-centric culture that fosters success, adoption, and continuous growth. What you’ll do (Role Expectations) * Use Red Canary’s detection platform to analyze EDR telemetry, alerts, and log sources across several detection domains including Endpoint, Identity, SIEM, and Cloud/SaaS * Publish threats for customers using concisely-written communication while effectively conveying key and important indicators * Research coverage opportunities to create new detectors and tune existing ones through detector development * Improve the Detection Engineering workflow through orchestration and automation Who You Are (Success Profile) * You thrive in ambiguity. You're comfortable building the path as you walk it. You thrive in a dynamic environment, seeing ambiguity not as a hindrance, but as the raw material to build something meaningful. * You act like an owner. Your passion for the mission fuels your bias for action. You operate with integrity because you genuinely care about the outcome. True ownership involves leveraging dynamic range: the ability to navigate seamlessly between high-level strategy and hands-on execution. * You are a problem-solver. You love running towards the challenges because you are laser-focused on finding the solution, knowing that solving the hard problems delivers the biggest impact. * You are a high-trust collaborator. You are ambitious for the team, not just yourself. You embrace our challenge culture by giving and receiving ongoing feedback—knowing that candor delivered with clarity and respect is the truest form of teamwork and the fastest way to earn trust. * You are a learner. You have a true growth mindset and are obsessed with your own development, actively seeking feedback to become a better partner and a stronger teammate. You love what you do and you do it with purpose. What We’re Looking for (Minimum Qualifications) * Foundational understanding of AI/ML technologies and experience leveraging, securing, or positioning AI-driven solutions to optimize outcomes within your functional domain * Cybersecurity operational experience with a focus in Detection and Response * Must be located in the United States during the SkillBridge program * Must be a current Active Duty United States military member or a member of the United States Guard/Reserve component on active duty orders for at least the last 180 days with 180 days or fewer remaining prior to your date of discharge * Unit commander approval and an approved MOU submitted before start What Will Make You Stand Out (Preferred Qualifications) * Experience leveraging AI-assisted workflows or machine learning models to analyze threat telemetry, automate alert curation, or accelerate detector development * Experience with EDR tools and conducting Incident Response activities * Malware/Threat Analysis and Detection Engineering experience #LI-TJ1 #LI-remote At Zscaler, we are committed to building a team that reflects the communities we serve and the customers we work with. We foster an inclusive environment that values all backgrounds and perspectives, emphasizing collaboration and belonging. Join us in our mission to make doing business seamless and secure. Our Benefits program is one of the most important ways we support our employees. Zscaler proudly offers comprehensive and inclusive benefits to meet the diverse needs of our employees and their families throughout their life stages, including: * Various health plans * Time off plans for vacation and sick time * Parental leave options * Retirement options * Education reimbursement * In-office perks, and more! Learn more about Zscaler's hybrid working model and benefits here. By applying for this role, you adhere to applicable laws, regulations, and Zscaler policies, including those related to security and privacy standards and guidelines. Zscaler is committed to providing equal employment opportunities to all individuals. We strive to create a workplace where employees are treated with respect and have the chance to succeed. All qualified applicants will be considered for employment without regard to race, color, religion, sex (including pregnancy or related medical conditions), age, national origin, sexual orientation, gender identity or expression, genetic information, disability status, protected veteran status, or any other characteristic protected by federal, state, or local laws. See more information by clicking on the Know Your Rights: Workplace Discrimination is Illegal link. Pay Transparency Zscaler complies with all applicable federal, state, and local pay transparency rules. Zscaler is committed to providing reasonable support (called accommodations or adjustments) in our recruiting processes for candidates who are differently abled, have long term conditions, mental health conditions or sincerely held religious beliefs, or who are neurodivergent or require pregnancy-related support.