Role Description As a UX Research Intern focused on AI Experience, you’ll support research initiatives for our Copilot AI workstream, helping us understand how customers perceive, trust, and interact with AI-powered features. This is an early-career role ideal for someone developing foundational research skills and gaining hands-on experience conducting qualitative research in a fast-moving product environment. You’ll collaborate closely with the UX Research Lead, designers, product managers, and engineers to support moderated interviews, exploratory studies, and evaluative research. You’ll gain experience translating user insights into actionable findings that influence product direction. How you will make a difference day to day - Support Research Execution for Copilot AI - Assist in planning and coordinating moderated user interviews, including recruiting, scheduling, and participant communications. - Take detailed notes during interviews and help synthesize findings into key themes and insights. - Support qualitative coding and analysis of research sessions. - Contribute to research artifacts such as insight summaries, journey maps, and presentations. - Help maintain research documentation and organize insights in shared repositories. - Learn to Apply Research to Product Decisions - Partner with more senior designers and product teams to understand research goals and hypotheses. - Support concept testing and usability evaluations for new Copilot AI features. - Assist in identifying patterns related to user trust, prompting behaviors, and human-AI workflows. - Learn how qualitative findings connect to product metrics and experimentation outcomes. - Cross-Functional Collaboration & Growth - Collaborate with product managers, designers, and engineers throughout the research lifecycle. - Participate in research readouts, team reviews, and critiques. - Learn how to balance multiple research tasks in a fast-paced environment with guidance from your manager. - Stay curious about AI, emerging technologies, and user research best practices. Qualifications - Currently pursuing or recently completed a degree in Human-Computer Interaction, Psychology, Sociology, Design, or a related field. - Strong interest in UX research, AI experiences, and understanding user behavior. - Foundational knowledge of qualitative research methods (e.g., interviews, usability testing, surveys). - Strong organizational and note-taking skills. - Clear written and verbal communication skills. - Ability to collaborate in cross-functional teams and learn in a fast-moving environment. Requirements - Experience conducting user interviews or usability tests (academic or internship experience welcome). - Familiarity with research tools such as Dovetail, UserTesting, Lookback, or similar platforms. - Exposure to AI products or interest in human-AI interaction. - Basic understanding of product experimentation or analytics. - Interest in legal tech, fintech, or other regulated industries. Benefits - Comprehensive health plans (including Medical, Dental and Vision insurance for full-time employees) - Accrued PTO - Life insurance - Disability benefits - Supplemental Optional Life Insurance Benefits - FSA Options Optional - HSA with Company Match - Wellhub & ClassPass fitness platforms - Comprehensive Pet Insurance options - Financial Wellbeing & Student Loan Program access - Access to additional Mental Health & Wellbeing resources - Pre-tax Commuter/Transit Benefits - Free Rocket Lawyer account with online access to an extensive legal documents library and brilliant licensed attorneys at discounted rates

Job DetailsJob Location: Wisconsin Remote - Madison, WI 53703Salary Range: $125,000.00 - $145,000.00 SalaryTravel Percentage: Up to 10%Make a Difference for Climate and Equity — Join Slipstream as a Principal Research Engineer! Apply your technical leadership to make a meaningful impact in addressing climate change and inequities in its impacts. The Principal Research Engineer role at Slipstream is part of our Research & Innovation team, where we study, develop, and scale the next generation of energy solutions across multiple sectors of the economy. Slipstream is a national, mission-driven organization that accelerates climate solutions—for everyone. We inspire new approaches to complex energy challenges and are optimistic, inclusive, and ambitious about our impact. Our Research & Innovation team is a national leader in understanding how emerging technologies and strategies perform in real-world applications. We are seeking a Principal Research Engineer who will provide technical leadership, advance strategic partnerships, and guide high-impact research and innovation efforts. Our ideal Principal Research Engineer brings deep technical expertise along with a strong ability to lead complex, collaborative efforts. You are a systems thinker who can connect engineering analysis with broader market, policy, and program contexts. You are motivated to translate technical insight into actionable solutions and to support teams in delivering high-quality, impactful work. We encourage candidates from diverse backgrounds. You are key to the success of our organization by demonstrating our values, advancing our mission, and delivering results that create enduring economic and environmental benefits. While we’re mostly remote, Slipstream can only hire in select states (outlined in the application). Much of our current work is concentrated in the Midwest and Northeast. While not required, being based in these regions is a plus. What You’ll Do: Provide technical leadership on large, complex research and innovation projects, including cross-functional and multi-partner initiatives Lead engineering analysis and applied research related to building energy systems, distributed energy resources, and emerging technologies Serve as a subject matter expert and quality assurance leader for technical deliverables, ensuring rigor, clarity, and impact Develop and implement strategies that advance Slipstream’s research, innovation, and programmatic priorities Identify, develop, and secure new funding opportunities, including leading proposal strategy, partnerships, and concept development Build and maintain strong relationships with partners, clients, and funders; serve as a key external representative of Slipstream’s work Monitor market, policy, and industry trends to identify opportunities and inform strategic direction Mentor and support staff development; contribute to team leadership, knowledge-sharing, and organizational growth Communicate research findings and insights through reports, presentations, and participation in industry forums QualificationsRequired Qualifications: Deep experience with building energy systems and related technologies (e.g., HVAC, building controls, electrification, DERs, or grid-edge solutions) Proven ability to act as a technical mentor and advisor, fostering a collaborative, supportive research culture Must possess exceptional interpersonal skills, with the ability to communicate complex research concepts clearly to diverse stakeholders and actively teach, guide, and develop junior engineering staff Strong analytical and systems-thinking skills with the ability to solve complex, cross-domain challenges Proven track record of leading large, complex, and high-visibility initiatives involving multiple stakeholders and partners Ability to translate technical analysis into actional insights for broader market, policy, and programs Demonstrated ability to leverage a strong existing network of energy sector stakeholders including utilities, industry partners, and government bodies to secure new projects, drive collaborative research initiatives, and transition next generation technologies into the market Track record of successfully securing funding through competitive proposals, partnerships, or client development (e.g., federal, state, utility, or private funding sources) Commitment to advancing equitable and impactful climate solutions Preferred Qualifications: Bachelor’s degree in engineering, physics, or a related field (advanced degree strongly preferred) 15+ years of relevant professional experience. Professional Engineer (PE) license or equivalent credentials strongly preferred Experience with measurement and verification, commissioning, or field-based research Experience with energy modeling, data analysis, or simulation tools (e.g., EnergyPlus, Modelica, Python-based workflows), advanced AI tools, or equivalent analytical approaches Familiarity with energy markets, HVAC system design, demand response, microgrids, and utility energy efficiency programs Knowledge of building energy codes, standards, and performance policies Active participation in industry groups, research initiatives, or professional networks What Sets You Apart: Ability to think strategically while maintaining strong technical depth Experience leading coalition-building efforts across organizations or sectors Track record of shaping research agenda, influencing industry direction through research, partnerships, or thought leadership Commitment to mentoring others and strengthening team and organizational capabilities A broad understanding of the market combined with deep expertise in climate solution research Success in building trusted relationships with funders, clients, and partners to advance new initiatives Proven ability to translate technical insights into actionable strategies that scale market transformation Physical Requirements: Primarily a sedentary role, with tasks typically performed while sitting or occasionally standing. Ability to operate a computer and standard office equipment. Tasks demand visual focus for reading and working on screens. This position frequently communicates via phone and video conferencing, with in-person interactions as applicable. Work Environment: Fully remote position with the ability to work from home or another suitable location with reliable internet access. Hybrid work available if located in Madison, WI or Chicago, IL. If in-office, expect a moderate noise level. Must have the ability to work independently while staying engaged with the team through virtual communication tools such as email, chat, and video conferencing. Requires a quiet and professional workspace for virtual meetings and collaboration. Typical schedule of 9–5 in Central Time zone [or any U.S. time zone]. Flex hours may be available depending on role and team requirements. Occasional travel for in-person meetings and field site visits. Slipstream is an equal-opportunity employer committed to creating an inclusive workplace where all individuals feel valued, respected, and supported. We center community in everything we do and strongly encourage people of all backgrounds to apply and join us in our mission. We welcome applicants regardless of race, color, religion, sex, sexual orientation, gender identity or expression, national origin, age, disability, genetic information, marital status, veteran status, or any other protected status or characteristic under federal, state, or local laws. Slipstream will provide reasonable accommodations to qualified individuals with disabilities to enable them to perform the essential functions of their position unless doing so would impose an undue hardship on Slipstream, or if it would pose a direct threat to the health or safety of the individual or others that cannot be mitigated. Questions or accommodation requests should be directed to Human Resources. Please note that Slipstream will only contact candidates via the Paycom portal. We will never ask a candidate for payment of any kind as part of the hiring or onboarding process or send payment to any candidate prior to completing the hiring and onboarding process. Applicants have rights under Federal Employment Laws. Family & Medical Leave Act Equal Employment Opportunity Employee Polygraph Protection

Design and maintain data pipelines for processing large-scale datasets, expand privacy-preserving tools for research, and collaborate with cross-functional teams to support economic analysis and ensure data integrity and compliance.

Title: ML/Research Engineer, Safeguards Location: San Francisco, CA | New York City, NY Job Description: 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 We are looking for ML Engineers and Research Engineers to help detect and mitigate misuse of our AI systems. As a member of the Safeguards ML team, you will build systems that identify harmful use-from individual policy violations to sophisticated, coordinated attacks-and develop defenses that keep our products safe as capabilities advance. You will also work on systems that protect user wellbeing and ensure our models behave appropriately across a wide range of contexts. This work feeds directly into Anthropic's Responsible Scaling Policy commitments. Responsibilities - Develop classifiers to detect misuse and anomalous behavior at scale. This includes developing synthetic data pipelines for training classifiers and methods to automatically source representative evaluations to iterate on - Build systems to monitor for harms that span multiple exchanges, such as coordinated cyber attacks and influence operations, and develop new methods for aggregating and analyzing signals across contexts - Evaluate and improve the safety of agentic products-developing both threat models and environments to test for agentic risks, and developing and deploying mitigations for prompt injection attacks - Conduct research on automated red-teaming, adversarial robustness, and other research that helps test for or find misuse You may be a good fit if you - Have 4+ years of experience in ML engineering, research engineering, or applied research, in academia or industry - Have proficiency in Python and experience building ML systems - Are comfortable working across the research-to-deployment pipeline, from exploratory experiments to production systems - Are worried about misuse risks of AI systems, and want to work to mitigate them - Have strong communication skills and ability to explain complex technical concepts to non-technical stakeholders Strong candidates may also have experience with - Language modeling and transformers - Building classifiers, anomaly detection systems, or behavioral ML - Adversarial machine learning or red-teaming - Interpretability or probes - Reinforcement learning - High-performance, large-scale ML systems The annual compensation range for this role is listed below. For sales roles, the range provided is the role's On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $350,000 - $500,000 USD Logistics Minimum education: Bachelor's degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links-visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact - advancing our long-term goals of steerable, trustworthy AI - rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process