We recently sat down with Andrew, a Research Scientist on our Foundational Research team, to explore what makes 抖阴成年 a unique place to build a career in AI. From our comprehensive AI sandbox environments to our investments in cutting-edge solutions like CoCounsel and the development of our vertically specialized foundation model, hear Andrew鈥檚 perspective on why now is the ideal time to join our mission of powering business-critical professions with AI they can trust.

How would you describe working at 抖阴成年 in one word?

If I had to describe working at 抖阴成年 in one word, it would be听trust. In my work leading evaluations for the development of our own specialized LLM Thomson, I spend a lot of time thinking about trust in high-stakes professional domains. Trust is also central to the way our team works. It’s an environment where there’s ample room to take ownership and drive new ideas. That internal culture was clear to me during my internship, and it played a big role in my decision to join 抖阴成年 full-time.

What made you decide to stay with 抖阴成年 after your internship?

Throughout my internship, trust and opportunity were constant themes. At one point, I wanted to significantly expand the scope of a project I was working on, and my manager set up a meeting for me to present the plan to our Chief Technology Officer for approval, which we got. That experience reinforced for me that this is a place where taking the initiative to push for ambitious goals is encouraged and supported. I expect that project to yield important findings for how we think about and use AI in professional work, both internally and in what we publish externally.

What is the most important part of building AI for professionals in highly regulated industries?

I think one of the most important things about building AI for professionals is getting the details right. Much of my time is spent working directly with attorneys, journalists, and accountants to design evaluations closely tied to real problems in their work. We鈥檙e constantly thinking about key priorities like accuracy and reliability, and we also try to get into the details about what would really make an AI system useful for the fiduciary professionals we serve.

What is most exciting about your role at 抖阴成年?

What excites me most about my role at 抖阴成年 is the chance to work with the latest developments in machine learning as they emerge and use them to address real problems during our model development. Trust is a fundamental challenge with LLMs, because you can’t always predict exactly what a model will return from a given query. As a team, we鈥檝e been doing a lot of foundational research on making AI systems more trustworthy, and we’ve seen strong results, especially in integrating trusted information from established sources like Westlaw.

Why is now the right time to join 抖阴成年?

If you’re considering joining the team, don’t wait. We’re at an exciting moment with the development of our own purpose-built LLM, but there are still so many exciting problems to solve. Our team is growing fast to keep up with all the ideas and projects we want to explore. It’s a rare opportunity to shape the way AI transforms high-stakes work.

Ready to be part of a team that’s not just riding the AI wave, but reshaping the future of professional work? We’re actively hiring across TR Labs and our research and technology teams.

Explore your next career move with us. Visit听 to discover our 550+ open roles and learn how you can help us inform the way forward in an AI-enabled future.

Since its launch in 2021 by the听抖阴成年 Social Impact Institute, the Social Impact Sprint has grown into an annual global hackathon that connects 抖阴成年 employees with nonprofit organizations to drive meaningful social impact.听

The Sprint is built around focused, high-impact pro bono projects. 抖阴成年 partners with nonprofits to identify specific strategic or capacity-building challenges, then brings together teams of employees with the right expertise to help address it. These pro bono consultants represent a wide range of disciplines, including marketing, branding, product development, technology, and HR.听

Working side by side in a fun, fast-paced environment,听employees听and nonprofit partners collaborate to develop practical solutions. During a dynamic five-hour virtual session, nonprofit organizations receive hands-on support and leave with tangible deliverables, actionable insights, new connections, and an average of $8,000 in consulting value,听all at no cost.听

Over the past five years, 450 pro bono consultants have volunteered more than 4,800 hours to support 180 nonprofit organizations around the world, delivering more than $1 million in pro bono consulting value.听

The Social Impact Sprint delivers impact on multiple levels: it gives 抖阴成年 employees meaningful opportunities to grow as leaders and build new skills, while helping nonprofit partners strengthen their organizations and advance their missions.听听

Hear directly from past participants about what makes the program so valuable.听

鈥淧articipating in these听Sprints听and听using my marketing skills from a pro bono perspective to help nonprofits has really been听one of the most rewarding听experiences听in my entire 23 years that I’ve spent at 抖阴成年.鈥� 鈥� Ben, Pro Bono Consultant, United States听

鈥淚n a world of givers and takers, 抖阴成年 is a hands-down giver. The Social Impact听Sprint听draws on the company鈥檚 greatest asset: highly competent, innovative, and empathetic employees. The Social Impact听Sprint听is a testament to the power of collective action in driving meaningful change.鈥� 鈥� Robin, Nonprofit Participant, United States听

鈥淚 absolutely loved being a part of this initiative. I wanted to participate because of one of our corporate values: Act fast, learn fast. I wanted to push myself out of my comfort zone and it was a wonderful experience. It was amazing working with my team.鈥� 鈥� Linda, Pro Bono Consultant, United States听

鈥淚 think that听it鈥檚听amazing what you can do in a day when you put your heads to it, when you get a group of really engaged people, smart people in the room, and everybody pulls their weight.听It鈥檚听incredible what you can come out with at the end of just a few hours.鈥� 鈥� Shirley, Nonprofit Participant, Canada听

鈥�Working with such talented, purpose-driven people to support an incredible nonprofit is something I’ll carry with me forever. Truly one of the most fulfilling experiences of my career.鈥�听鈥� Mariana, Pro Bono Consultant, Mexico听

The 2026 Sprint

That kind of impact听doesn’t听happen by accident.听It happens because people show up with their skills, their time, and a genuine commitment to making a difference.听This year, virtual and in-person Sprint events will take place around the world from April 27 to May 1, 2026, with more than 40 nonprofit partners taking part. The Social Impact Sprint is a reminder that some of the most powerful听change doesn’t听require years or large budgets;听sometimes it just takes the right people in a room, and a few focused hours to make it count.听听

Interested in a career at 抖阴成年?听

• Learn more about our employer story in our鈥�听

• Check out our鈥�鈥痶o explore our 550+ open roles听

• Follow us on鈥�鈥痜or the latest news, updates, and stories听

Can you tell us about your role and how your team fits into 抖阴成年’ broader mission?

I’m a Manager in Content Operations in the Manila office. My team specializes in content acquisition: identifying, validating, and delivering the legal and regulatory materials that keep our products comprehensive and current. While our core expertise is content, we are deliberately building capability in AI. We’re developing effective prompting skills, conducting focused experiments, and integrating practical AI support into day-to-day tasks. This work aligns with 抖阴成年’ AI strategy by applying responsible, human-centered tools to enhance quality and consistency for our customers.

What enables your team to successfully experiment with AI while maintaining quality standards?

抖阴成年’ culture is crucial to our progress. Leaders encourage measured experimentation with clear guardrails, fostering learning while maintaining rigorous standards. We benefit from formal training, communities of practice, and mentorship from technology partners who share guidance and lessons learned. This support allows a content-led team to adopt AI in a disciplined manner, without compromising editorial judgment or customer trust.

What specific AI implementations have been most effective in your daily operations?

Our most effective changes have been simple and targeted. For example, we’ve piloted prompts that facilitate structured selection of documents that are valid and substantive for acquisition. We’ve also implemented AI solutions that replace manual effort in organizing and preparing content for downstream processes. My responsibilities include defining the problem, setting practical guardrails, and ensuring that human review remains central to decision-making. The focus is on building reliable steps that reduce friction for users and strengthen downstream quality for customers.

How do you measure the success of these AI implementations?

The impact appears in operational metrics and feedback from stakeholders. We’ve shortened certain repetitive steps, which aggregates to meaningful time savings. Users report fewer interruptions and more capacity for higher-value tasks. We evaluate success using straightforward indicators鈥攖urnaround time, error rates, and partner feedback鈥攁nd we retain only those approaches that consistently improve these measures.

Can you describe the internal AI Day event you organized for the office?

In May, I led the first internal AI Day in our Manila office. The event highlighted internal success stories and live demonstrations, followed by workshops on Responsible AI, Copilot and Power Platform, and meta prompting. We had collaborative sessions such as Team AI Journeys and an hour to focus on our internal AI sandbox. These sessions promoted knowledge sharing and cross-functional engagement. We also included engaging activities like a “Spot the AI” challenge, a word search, an AI ethics wall for perspectives on responsible use, and a Freedom Wall for personal accounts of AI’s impact. We hosted an AI Learning Caf茅 as well, offering a quiet venue for TED Talks and curated reading materials. The feedback on the event was overwhelmingly positive, indicating a strong desire to repeat it soon.

Thank you to Emleen for sharing your experience with us. If you are interested in learning more about the Content Operations team or our open roles in Manila, you can learn more .

Interested in a career at 抖阴成年?

• Learn more about our employer story in our鈥�

• Check out our鈥�痶o explore our 450+ open roles

• Follow us on鈥�痜or the latest news, updates, and stories

Why TR Labs? A Culture of Innovation and Growth

We鈥檝e been at the forefront of AI for decades, dating back to the 1970s. This deep history, combined with our recent AI investments totaling more than $200 million in 2024 alone, uniquely positions us to innovate at scale. Through products like CoCounsel, our AI technology, we鈥檙e helping professionals work more efficiently and deliver greater impact.

At TR Labs, you鈥檒l find a collaborative, global environment where people learn from one another, engage in meaningful work, and have access to:

• World-leading content and datasets including 20B+ documents, 15+ petabytes of data, and 500+ trusted content assets
• 4,500 subject matter experts – including 2,500 lawyers
• Enterprise-grade infrastructure
• Industry-leading learning resources and access to mentorship and career development

We work closely with CoCounsel product teams, platform engineering, and domain experts across legal, tax, and compliance to build AI that鈥檚 deeply embedded in professional workflows. Don鈥檛 just take our word for it. Hear directly from the people driving innovation for our customers in the videos below.

If you鈥檙e passionate about applied research or engineering鈥攁nd want to build AI solutions that make a meaningful difference in the world鈥攚e want to hear from you.

Interested in a career at 抖阴成年?听

• Learn more about our employer story in our鈥�听

• Check out our鈥�鈥痶o explore our 550+ open roles听

• Follow us on鈥�鈥痜or the latest news, updates, and stories听

We sat down with Josef, a Venture Capital Principal on our 抖阴成年 Venture team to explore his career evolution, the entrepreneurial mindset that drives success at 抖阴成年, and why this is an exciting time to join our organization as we reshape the future of professional work.听

Tell us about your career journey and what led you to 抖阴成年 Ventures.

My career journey is often described as a series of pivots, but there’s actually a single thread that ties it all together: the entrepreneurial spirit. This mindset was ingrained in me early by my Lebanese father, who taught me the power of community and networking, and my Italian mother, who taught me the art of debate and negotiation.

I joke that I started my career as a Christmas Tree Salesman, but that job taught me that everything is sales. Whether I was navigating the complex ad-tech world at MediaMath in their marketing engineer program, driving digital innovation for global giants like L’Oreal and Diageo, or supporting the Reuters newsroom as a commercial lead, I was always selling, whether that be a vision, a brand’s future, or a partnership.

After nearly six years at Reuters, I joined 抖阴成年 Ventures in April of last year. So, to summarize: Christmas Tree Salesman > Political Science graduate > Ad Tech Startup > Beauty Marketer > Liquor Marketer > News Commercial Lead > Venture Capitalist. It’s the perfect example that no career path is the same!

What attracted you to Reuters initially, and how did that evolve into your current role?

I joined Reuters after working on the media buy-side for most of my career. What was meant to be a short consulting engagement ended up being a great career decision. At L’Oreal, they always talked about being a company focused on innovation because they were founded by scientists. I found a similar story with Paul Julius Reuter, starting with a network of carrier pigeons to what Reuters offers today is an incredible story of innovation and business intuition.

It was incredible to work for a mission-driven organization and to work with the smartest people in the world. The transition from Reuters to 抖阴成年 Ventures allowed me to leverage all my previous experience while stepping into the exciting world of venture investing, where I now serve as a steward of capital for 抖阴成年.

You made a significant career pivot into venture capital. What skills transferred, and what were the biggest learning curves?

I’ve always been in positions where a combination of Emotional Quotient (EQ) and Intelligence Quotient (IQ) was needed. I saw the quantitative analysis of an opportunity and the qualitative analysis of the people behind the deal as equally important. The fast-paced world of sales, media, and news, definitely keeps you conditioned for any industry transition.

抖阴成年 Ventures allows me to rotate between many different skills I’ve learned over my career. Some days it’s prospecting for the best founders, other days it’s marketing to build the 抖阴成年 Ventures brand, thinking strategically about the big picture, or rolling up my sleeves to join a sales call with a portfolio company CEO.

What I’ve learned is that Adversity Quotient (AQ) is just as important as EQ and IQ. I’ve found comfort in my ability to face adversity and remain resilient through change to achieve successful outcomes.

How do you build credibility quickly when stepping into new domains or teams?

I was fortunate to move within an organization where I already had relationships, but switching from Reuters to 抖阴成年 required keeping the same mindset: being eager to learn and eager to help. Although I joined in a senior position, I remained willing to learn and support even the most trivial tasks.

Thankfully, with AI and OpenArena (抖阴成年’ internal AI sandbox), I was able to build venture operational tools to level the playing field and quickly accelerate my work output. These tools helped with research, drafting, and social media. What I built was rewarded as a top AI solution, and I became a mentor to colleagues, helping them build similar solutions.

This flywheel effect of learning, helping, and executing quickly builds a respected reputation among peers and colleagues.

What’s your approach to skill-building, and what advice would you give to someone starting their career?

I really enjoy reading听The Alchemist听any time I’m going through change or starting a new journey. It grounds me and helps me be self-aware of my gaps. For example, transitioning to Ventures gave me the opportunity to work on my financial modeling skills.

I truly value the network of peers and colleagues I’ve established over my career. Any time I make a career change, I’m public about it on LinkedIn and prescriptive with key network members. This is the best way to keep opening doors.

Anyone starting their career should find opportunities to learn from more experienced colleagues. The best way is in person; natural knowledge osmosis takes place just by watching others’ habits. It’s our duty as senior leaders to notice when newer professionals join and share time answering questions, even if they’re not on our team.

How do you evaluate new opportunities, and how has your criteria evolved?

In my previous role, it was my job to champion partnerships and help them navigate organizational complexity. In venture investing, I’m less a champion and more a steward of capital for 抖阴成年. I have to be more judicious in my conviction to “yes.”

There’s a fine balance between being a champion for partners and being an investor. Learning to leverage “no, and” is just as powerful as “yes.” We follow a standard rubric focusing on Series A opportunities with revenue north of $1M. When I first started, I had as many calls as possible to learn about industries and polish my approach. Today, I have more of a filter, though I do try to meet with ambitious founders.

My criteria remain consistent: Is there a compelling story? Is there a path to “yes”? And am I leaving the business and people around me better than when we started?

Thank you to Josef for sharing your career experience with us today. To learn more about 抖阴成年 Ventures, please visit

Ready to Shape the Future of Professional Work?

At 抖阴成年, we’re building tomorrow’s AI today, and we’re looking for entrepreneurial minds who thrive on solving complex problems and delivering market-leading solutions. Whether you’re interested in AI research, venture capital, product development, or any other area of our business, we offer the opportunity to work with smart, ambitious people who are powering professionals with cutting-edge AI.

• Learn more about our employer story in our鈥�

• Check out our鈥�痶o explore our 550+ open roles

• Follow us on鈥�痜or the latest news, updates, and stories

What鈥檚 one word you would use to describe working at 抖阴成年?

Working at 抖阴成年 in one word would be energizing. I really enjoy working on a large product like CoCounsel. There is so much momentum, and I get to collaborate with a fully cross-functional team to solve complex problems. Everyone is thinking about product improvements beyond their immediate area, and there are so many opportunities to learn from one another every day.

How do engineers here think about reliability when building AI鈥憄owered products?

Because we’re building AI for professionals, trust, accuracy, and reliability are at the forefront of everything we do, both in our development processes and in the product’s functionality. Every code change needs to be well-tested and resilient. The insights generated by the product must be supported by evidence and citations grounded in our best-in-class research content.

Why is now an exciting time to work at 抖阴成年?

抖阴成年 is an incredibly exciting place to be right now. I’m currently leading development on one of our core agentic assistants, and the work is absolutely cutting-edge. We’re defining new patterns for agent execution using AWS, while also building scalable APIs and web user interfaces to bring those capabilities to life.

What makes 抖阴成年 a great place for innovation is that it’s truly at the forefront of embracing new tools and approaches. I have access to the best models, coding assistants, and learning resources through collaborations and connections to Anthropic, Google, and OpenAI. We’ve also recently enabled approaches that let us delegate work to autonomous agents in the cloud, which allows me to work on changes across the stack simultaneously.

Share with us what it鈥檚 like building AI for highly regulated industries.

There is a unique sense of purpose in building AI for highly regulated industries. Unlike in previous roles where the stakes were lower, accuracy is everything here. We aren’t just directing someone to a help desk article; we are providing answers that impact a person’s financial wellbeing. We take that responsibility seriously, investing deeply in the guardrails and evaluation processes needed to get it right.

Ultimately, our work is about the people we serve. My work helps tax and accounting professionals automate document analysis and access trusted guidance, enabling them to provide deeper support to their clients. If you’re looking for a place where you can own significant features and solve hard problems alongside a team that genuinely cares about doing great work, now is the perfect time to join us.

Thank you to Mike for sharing his insights on what it takes to build cutting-edge, fiduciary-grade AI that professionals can rely on. At 抖阴成年, we’re looking for curious and committed innovators to help us continue shaping the future of professional work. Check out our .

Interested in a career at 抖阴成年?听

• Learn more about our employer story in our鈥�

• Follow us on鈥�痜or the latest news, updates, and stories

In 2025, the 抖阴成年 Social Impact, Government Affairs & ESG teams helped strengthen communities where we live and work through skills-based volunteering, community partnerships, and technology that advances justice. The highlights below reflect our key achievements over the past year, the people behind them, and our commitment to creating lasting, positive impact.

2025 impact at a glance

• 165听employees participated in our Social Impact Sprint
  • 40听nonprofits supported across听6听countries
  • 1,392听pro bono hours (estimated value听$306,240) *
• 8,200+听volunteer hours on Global Volunteer Day
  • 100+听nonprofits supported in听20听countries

Together for Good: Skills-Based Volunteering and Community Service

Our colleagues came together to create meaningful change through the power of service. Our fifth annual Social Impact Sprint saw 165 employees lend their expertise as pro bono consultants to 40 nonprofits across six countries, contributing 1,392 hours of skilled support valued at over $306,240. Building on this spirit of impact, during our annual Global Volunteer Day, teammates dedicated over 8,200 volunteer hours to support more than 100 nonprofit organizations in 20 countries. To end the year, employees in Minnesota and Texas collected 650 toys for children in their communities. These efforts reflect our shared commitment to using our time and talent to make a lasting difference.

Technology with Purpose: Data, Training, and Research to Advance Justice

We expanded our human trafficking training efforts, hosting two panels to help employees understand various forms of human trafficking and how 抖阴成年 utilizes data and technology to support global anti-trafficking efforts. We also partnered with 抖阴成年 Special Services on a report to uncover unique insights into the disappearances and trafficking of Indigenous peoples in Canada. In addition, we helped fund groundbreaking research by the International Justice Mission exploring the intersection of two emerging global threats in Southeast Asia: the financially motivated sextortion of children and forced scamming operations.

Partnering for Progress: Rule of Law, AI in Courts, and Long-Term Collaboration

In 2025, we marked听 with Lawyers Without Borders to advance the rule of law. By combining their grassroots legal expertise with our people, technology, and publishing capabilities, this collaboration has delivered training, tools, and resources to legal professionals and communities in more than 10听countries鈥攊ncluding training听1,000+听legal professionals and reaching听35,000听households in Kenya.

The Thomson Reuters Institute and the National Center for State Courts continued their joint听AI Policy Consortium for Law and Courts, helping judicial leaders navigate opportunities, risks, and responsible adoption of AI (including generative AI). The consortium aims to support ethical, effective integration of AI across the U.S. court system. A November webinar focused on AI literacy attracted nearly听6,000听registrants.

As we reflect on 2025, these milestones underscore the power of collaboration, innovation, and purpose-driven action. We’re proud of the colleagues and partners who helped advance justice, strengthen communities, and support more sustainable corporate citizenship in 2025鈥攁nd we’ll continue building on that momentum in the year ahead.

Dive into our Social Impact & ESG Report to track progress, explore powerful impact stories, and uncover detailed data that quantifies our work.

*Pro bono valuation is calculated using the average hourly value for pro bono service (USD 220 per hour), as referenced by the Taproot Foundation.

Interested in a career at 抖阴成年?听

• Learn more about our employer story in our鈥�
• Check out our鈥�痶o explore our 500+ open roles
• Follow us on鈥�痜or the latest news, updates, and stories听

We sat down with Matthew, a Research Engineer on our Document Understanding team in TR Labs, to discuss his career transition, the power of 抖阴成年 Gig program (short-term projects to gain experience and develop new skills), and what makes this an exciting time to build AI systems at 抖阴成年.

What made you interested in transitioning from Site Reliability Engineer to AI/ML research?

I’d been working as a Site Reliability Engineer in Service Management since joining 抖阴成年 in 2022, but I was increasingly passionate about machine learning. That passion led me to build a GenAI application that won an NVIDIA global competition. To me, that was tangible proof that I could create valuable AI applications, and it gave me the confidence to pursue ML work more seriously.

When I saw a Research Engineer opening in TR Labs posted by a colleague on LinkedIn, I knew I had to reach out. It was my first internal application at 抖阴成年, and that connection led me to a hiring director who introduced me to the Document Understanding team. The alignment between my background and the team鈥檚 focus felt perfect.

Can you tell us about the Document Understanding team and the work you’re doing?

I’m most excited about the work happening on my team with Document Understanding. We’ve built a platform that takes any document type鈥擯DFs, Word, Excel, images鈥攁nd transforms them into structured data that downstream AI systems can actually use. What’s remarkable is the scale we’ve achieved: we went from processing zero documents in March to over 150,000 documents per day by September, supporting products like CoCounsel and 听.

The broader context that makes this exciting is how it helps establish our positioning in the professional-grade AI tool landscape. While the industry focuses on building better LLMs, our real competitive advantage is our world-class legal content. Document Understanding is a critical piece of infrastructure that makes that content accessible and useful for AI applications. We’re essentially building the pipes that let 抖阴成年’ unique content flow into the AI systems our customers rely on.

How did the gig program help facilitate your transition?

The gig program proved invaluable. It allowed me to split time between my Site Reliability Engineer role and the new Research Engineer position for three months. The gig structure provided a low-risk evaluation period for both sides: I could prove my capabilities in a real-world setting while maintaining stability in my current role, and the team could assess whether I’d be a good fit before committing to a full transition.

Ramping up on an unfamiliar codebase was the main challenge, but it gave me the chance to prove I could adapt quickly and contribute. Shortly after completing the Gig, I received an official offer for the Research Engineer role as part of TR Labs.

Beyond the immediate benefit to me, Gigs enable the cross-pollination of skills and ideas throughout the organization. I brought my Site Reliability Engineer perspectives on reliability and scalability to a research-focused organization, while learning cutting-edge ML engineering practices.

What role did mentorship play in your career pivot?

My former manager was instrumental as a mentor; he was genuinely supportive of my growth, even though it meant eventually losing me from his team. That mentorship made the transition possible. The key enabler was having management support on both sides.

What worked particularly well was being direct with the new team, beginning on my first day. I asked straightforward questions like “What does success look like in this role?” to both my new manager and technical lead. That simple question created alignment and a feedback loop where everyone was invested in helping me succeed because we’d clearly defined what success meant. It removed ambiguity and let me focus my efforts on what actually mattered.

How do you see AI technology evolving at 抖阴成年?

I see our evolution in AI fundamentally about building on our content advantage. The Large Language Model space is commoditizing rapidly鈥攖he performance gap between proprietary and open-source models is narrowing. What won’t commoditize is 抖阴成年鈥� authoritative legal content and domain expertise.

My role is building the infrastructure that bridges our content with AI systems. Document Understanding uses sophisticated machine learning models for Optical Character Recognition (OCR), layout understanding, and document structure analysis to convert our vast repository of legal materials into formats that modern AI systems can access. It’s about ensuring that when our customers interact with our products, they’re getting the benefit of decades of legal expertise, not just a generic LLM response.

What makes TR Labs unique as a place to pursue AI research?

TR Labs balances research with real-world implementation in a rare way. We’re not just publishing papers鈥攚e’re building systems that process hundreds of thousands of documents daily and directly impact products, used by thousands of professionals every day.

The organization is also growing rapidly, which creates opportunities. Document Understanding, for example, is a greenfield project that didn’t exist earlier this year. Having the chance to build something from scratch, at scale, with cutting-edge technology, while knowing it will have immediate business impact鈥攖hat’s a unique challenge and opportunity.

What advice would you give to others considering a similar career transition?

My biggest advice would be to learn by doing. Build side projects, contribute to open-source work, or find ways to incorporate ML into your current role. For me, winning an NVIDIA global competition with my app was what opened doors; it was tangible proof that I could create valuable AI applications.

Be proactive about internal opportunities. Reach out to people doing work that interests you, apply for Gigs, and when you get those opportunities, ask direct questions about what success looks like. Create feedback loops early so you’re working toward clear, aligned goals. The Gig program exists for exactly this kind of career transition.

Thank you, Matthew, for sharing your career story! Are you interested in joining TR Labs or exploring AI roles at 抖阴成年? Check out our听听to view open roles on our TR Labs and Product Engineering teams, including AI Engineers, Research Engineers, and Applied Research Scientists.

To explore how this comes to life for our 27,000 colleagues, we sat down with Carissa Schmitz, Vice President, Talent. She shared her perspective on career development at 抖阴成年. From internal mobility, learning, and leadership, to staying ahead of talent trends. Here鈥檚 what Carissa had to say.

Why is 抖阴成年 the best place to grow your career?

At 抖阴成年, we have a strong sense of purpose: informing the way forward for a range of crucial sectors: legal, tax and accounting, government, and media over our 160+ year history. What makes us unique right now is how we’re empowering every colleague to harness AI as their innovation partner. We don’t just see AI as a tool for efficiency; we see it as a catalyst for unprecedented human creativity and innovation. We’re actively building the foundation for our colleagues to shape their own human-led and AI-powered future through hands-on experience with tools like Open Arena, our internal AI sandbox, and comprehensive training programs. Throughout our history, we’ve maintained a commitment to learning and a culture that values personal growth and development, as well as the mental health and wellbeing of our people. This is a fantastic place to start, grow, and accelerate your career.

How does 抖阴成年 support internal career mobility?

We aspire to make all new opportunities available to employees through internal posting and promotion of our jobs, with an emphasis on fair and objective consideration of all applicants. We provide opportunities to grow through Gigs – short-term projects to gain experience and develop new skills, and cross-functional initiatives that prioritize skill development and facilitate pathways to internal roles. Colleagues are empowered to own their careers by leveraging AI tools that match their interests to development opportunities across the organization. In 2025, we introduced an internally developed tool called My AI Coach, which helps colleagues set career goals and access in-the-moment coaching.

What are the focus areas for employee learning and career growth next year?

Upskilling is vital to keeping pace in today鈥檚 rapidly evolving world, and we are committed to supporting our colleagues on their continual skill-building journey. We鈥檙e encouraging everyone to test new AI tools and seamlessly integrate these into their daily roles. We are also committed to nurturing the uniquely human abilities, such as curiosity, creativity, adaptability, and problem-solving, that are indispensable now and in the future.

Through our Grow My Way program, employees build essential skills from our dedicated Global Learning Days (three per year), as well as a wide range of on-demand learning resources available through Workday and LinkedIn Learning. A key priority for us is AI upskilling, with our AI playground Open Arena providing a space for colleagues to put their new skills into practice. Additionally, we recognise the crucial role people managers play in fostering a strong and supportive culture, so we offer tailored development programs for managers and leaders to help enhance their leadership effectiveness and capabilities.

How do you stay current with trends and best practices in career development, learning, growth, and talent, and how do you incorporate these into your organization’s approach?

In my role, I’m always searching for new ways to make our colleagues’ career growth and learning more meaningful and effective. This includes spotting successful initiatives within our organization and expanding them. I frequently collaborate with teams focused on specific functions and regions to stay updated on evolving local talent programs, and I actively seek ideas and guidance from talent leaders and peers at other companies.

Our team is dedicated to testing new approaches and blending technology and human talent to drive progress. Beyond internal engagement, we also closely monitor external trends, best practices, and emerging innovations in our industries to ensure our approach remains relevant and forward-thinking. By benchmarking against global standards and learning from outside our organization, we can continually refine our programs and maintain an environment for our people to thrive.

At 抖阴成年, our focus is straightforward: helping people grow. Whether it’s experimenting with AI in Open Arena, exploring a new skill or topic on one of our dedicated Global Learning Days, or using our My AI Coach to set career goals, we’re creating practical ways for careers to evolve from the inside. Being part of this work and seeing colleagues access these tools and opportunities to reach their potential is something I feel genuinely privileged to support.

Interested in a career at 抖阴成年?听

• Learn more about our employer story in our鈥�

• Check out our鈥�痶o explore our 500+ open roles

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This was the second year in a row that 抖阴成年 sponsored the event. This sponsorship reflects our deep investment in the science of AI and our serious commitment to our role as a market-leading technology company shaping the future of trustworthy, professional-grade AI. Here are some of our insights from the week, a brief recap of how our team spent their time, and the roles we鈥檙e hiring for on our TR Labs team.

Making connections on the floor at the expo hall

Throughout the week, thousands of attendees spent time in the expo hall, where we had a booth amongst other companies at the forefront of ML research. Hundreds of researchers, practitioners, and students stopped by to learn about our work in data mixture optimization, model efficiency, and responsible evaluation, and many were surprised by the breadth of our AI initiatives and open research.

Our teams spent the week exchanging ideas with the broader community while also meeting exceptional talent鈥擯hDs, postdocs, scientists, and engineers interested in joining our research hubs in London, Toronto, Zug, and Minneapolis. This visibility, alongside our newly announced academic partnership with Imperial College London, underscored how we combine deep, foundational research with domain expertise and enterprise-scale impact.

Open science in action with new advances in AI efficiency

In one of the week鈥檚 featured sessions, Jonathan Schwarz, our Head of AI Research, showcased two new publications that exemplify our commitment to scientific rigor and innovation. Jonathan presented new data weighting techniques that improve model training efficiency by up to 500 percent without architectural changes, underscoring the importance of high-quality, diverse data in model performance.

Jonathan also shared advances in efficient evaluation, which reduce the computational cost of benchmarking by up to 18 times. These projects demonstrate how 抖阴成年 blends academic-grade experimentation with industry-scale infrastructure, reaffirming our commitment to open science and responsible innovation.

Check out this with Jonathan to hear more of his thoughts on NeurIPS 2025 and the skills he鈥檚 looking to hire for on his Foundational Research team.

Career opportunities with our Foundational Research team and TR Labs

At 抖阴成年, we鈥檙e not just building AI; we鈥檙e designing intelligent systems that think, reason, and operate alongside professionals. 抖阴成年 Labs, our applied research division, is where frontier research becomes enterprise-grade innovation: vetted, explainable, and ready for real-world use across law, tax, compliance, and journalism. If you鈥檙e passionate about bridging frontier research, explore these openings on our Foundational Research team.

• Manager, Lead Research Scientist, Training Data (Foundational Research):
• Machine Learning Research Engineer (Foundational Research):

Check out our careers site to see all open roles on our TR Labs and Product Engineering teams, which include AI Engineers, Applied Research Scientists, and Senior Applied Research Scientists.

For 抖阴成年, NeurIPS is more than a conference. It represents our commitment to continuous learning and contribution. It is where ideas become experiments, and experiments become technologies that empower professionals around the world. By showing up, sharing our work, and engaging with the broader research community, we continue to demonstrate what it means to be a responsible leader in AI.

Interested in a career at 抖阴成年?

• Learn more about our employer story in our鈥�
• Check out our鈥�career site鈥痶o explore our 600+ open roles
• Follow us on鈥�鈥痜or the latest news, updates, and stories