Today we shared an update to our principles with all of our employees. Our values and principles are what guide everything we do at Roblox, so we thought it was important to share publicly as well. You can view our mission, vision, values, and principles here.

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Early in the founding of Roblox, we all got together and created the first version of our Roblox Values. We aligned around a short, but powerful set of values that really captured our culture. Those same values still guide our company today. Over time, we realized we needed more detail around how and why we do the things we do, which led to the formation of the Roblox Principles. As with many things at Roblox, we’ve iterated on these as the company has evolved.  

Today we’re sharing the latest update to these principles. Thank you to everyone in the company who provided input and helped refine these over the past several months.

Our values are at the core of everything we do – from how we run the business, to the builders we hire, to the platform we have created:

• Respect the Community — We consider our impact on the world, strive to make decisions with everyone’s best interests in mind, and communicate authentically. We prioritize our community before company, company before team, and team before individual.
• We are Responsible — We are empowered and responsible for both the intended and unintended consequences of our actions.
• Take the Long View — We drive innovation by setting a long term vision, even when making short term decisions.
• Get Stuff Done — We drive execution every day by taking initiative and relentlessly iterating towards long-term goals.

As we have grown, so too have our principles naturally evolved. This next iteration focuses and clarifies our principles, which include:

• Belonging

• • Together, we are building towards a common Mission, guided by universally held Values and Principles.  Nurturing a sense of belonging is our responsibility, foundational and essential for realizing our ambitious vision.
  • By fostering an environment where everyone is supported to develop their skills and talents, we empower all employees to contribute meaningfully to our collective success.

• Fairness

• • We strive to operate in a way that is consistent and fair for all. We believe this is the best way to achieve our Vision and Mission.  
  • Wherever we evaluate people, whether for prioritization, assessment, promotion, or compensation, we run consistent and fair processes for all.

• Diversity

• • We believe that innovation (and achievement of our Mission) is accelerated by building and supporting a workforce that embodies a range of thought, perspectives, and life experiences.
  • We strive to provide tools that enable creators to reach and connect diverse audiences on Roblox, and to create an ecosystem where any Roblox creator is welcomed with optimism and civility.
  • As we expand the quality and breadth of content on our platform, we may guide, accelerate and invest in specific content categories, along with specific developers and creators. When supporting specific developers, we make the judgment based on our analysis of their capability and ability to succeed.

• Inclusion

• • We are relentless in building a highly inclusive organization: an organization where everyone can share ideas freely and be heard, where different perspectives are valued, where constructive dialogues occur, and where everyone has the opportunity to reach their highest potential.

• Hiring

• • Every candidate must increase our ability to innovate and execute, while embodying our values and principles. We evaluate all candidates with equal standards. Age, race, gender, and other protected status are never part of our evaluation of a candidate.
  • Through training and thoughtful system design, we work to eliminate bias in our conversations and decision making processes.
  • We continuously adapt and refine our assessment strategy to evaluate the broad and nuanced range of skills and abilities that are necessary to succeed at Roblox. 
  • We dedicate resources to building relationships with candidates from less represented groups at the top of our recruiting funnel. 
  • We track and share the composition of our workforce, but we do not set targets. 

• Leadership

• • We expect leaders at Roblox to embody our values and principles, and to lead by example.  
  • We assess managers and leaders on the results they produce. We consider their performance in driving execution and innovation, and in creating and sustaining highly functioning teams.

• Shaping the Future

• • We work to contribute to a more fair and equitable world by building a platform that brings people together from different backgrounds and enables them to share their perspectives in a civil manner, express their creativity, learn, and build businesses.

Builders at Roblox thrive on breaking new ground and reimagining how to do things from first principles. For those who are energized by our vision and aligned with our values, we offer the opportunity to do career-defining work and make a huge impact.

I believe having clear and deliberate principles will help us stay aligned as we continue to scale. I’m excited about what’s ahead for us and look forward to continuing to innovate with all of you.

Dave

The post Roblox Values and Principles appeared first on Roblox Blog.

Inside the Tech is a blog series that accompanies our Tech Talks Podcast. In episode 20 of the podcast, The Evolution of Roblox Avatars, Roblox CEO David Baszucki spoke with Senior Director of Engineering Kiran Bhat, Senior Director of Product Mahesh Ramasubramanian, and Principal Product Manager Effie Goenawan, about the future of immersive communication through avatars and the technical challenges we’re solving to power it. In this edition of Inside the Tech, we talked with Senior Engineering Manager Andrew Portner to learn more about one of those technical challenges, safety in immersive voice communication, and how the team’s work is helping to foster a safe and civil digital environment for all on our platform.

What are the biggest technical challenges your team is taking on?

We prioritize maintaining a safe and positive experience for our users. Safety and civility are always top of mind for us, but handling it in real time can be a big technical challenge. Whenever there’s an issue, we want to be able to review it and take action in real time, but this is challenging given our scale. In order to handle this scale effectively, we need to leverage automated safety systems. 

Another technical challenge that we’re focused on is the accuracy of our safety measures for moderation. There are two moderation approaches to address policy violations and provide accurate feedback in real time: reactive and proactive moderation. For reactive moderation, we’re developing machine learning (ML) models to accurately identify different types of policy violations, which work by responding to reports from people on the platform. Proactively, we’re working on real-time detection of potential content that violates our policies, educating users about their behavior. Understanding the spoken word and improving audio quality is a complex process. We’re already seeing progress, but our ultimate goal is to have a highly precise model that can detect policy-violating behavior in real time. 

What are some of the innovative approaches and solutions we’re using to tackle these technical challenges?

We have developed an end-to-end ML model that can analyze audio data and provides a confidence level based on the type of policy violations (e.g. how likely is this bullying, profanity, etc.). This model has significantly improved our ability to automatically close certain reports. We take action when our model is confident and can be sure that it outperforms humans. Within just a handful of months after launching, we were able to moderate almost all English voice abuse reports with this model. We’ve developed these models in-house and it’s a testament to the collaboration between a lot of open source technologies and our own work to create the tech behind it. 

Determining what is appropriate in real time seems pretty complex. How does that work?

There’s a lot of thought put into making the system contextually aware. We also look at patterns over time before we take action so we can be sure that our actions are justified. Our policies are nuanced depending on a person’s age, whether they’re in a public space or a private chat, and many other factors. We are exploring new ways to promote civility in real time and ML is at the heart of it. We recently launched automated push notifications (or “nudges”) to remind users of our policies. We’re also looking into other factors like tone of voice to better understand a person’s intentions and distinguish things like sarcasm or jokes. Lastly, we’re also building a multilingual model since some people speak multiple languages or even switch languages mid-sentence. For any of this to be possible, we have to have an accurate model. 

Currently, we are focused on addressing the most prominent forms of abuse, such as harassment, discrimination, and profanity. These make up the majority of abuse reports. Our aim is to have a significant impact in these areas and set the industry norms for what promoting and maintaining a civil online conversation looks like. We’re excited about the potential of using ML in real time, as it enables us to effectively foster a safe and civil experience for everyone. 

How are the challenges we’re solving at Roblox unique? What are we in a position to solve first?

Our Chat with Spatial Voice technology creates a more immersive experience, mimicking real-world communication. For instance, if I’m standing to the left of someone, they’ll hear me in their left ear. We’re creating an analog to how communication works in the real world and this is a challenge we’re in the position to solve first. 

As a gamer myself, I’ve witnessed a lot of harassment and bullying in online gaming. It’s a problem that often goes unchecked due to user anonymity and a lack of consequences. However, the technical challenges that we’re tackling around this are unique to what other platforms are facing in a couple of areas. On some gaming platforms, interactions are limited to teammates. Roblox offers a variety of ways to hangout in a social environment that more closely mimics real life. With advancements in ML and real-time signal processing, we’re able to effectively detect and address abusive behavior which means we’re not only a more realistic environment, but also one where everyone feels safe to interact and connect with others. The combination of our technology, our immersive platform, and our commitment to educating users about our policies puts us in a position to tackle these challenges head on.

What are some of the key things that you’ve learned from doing this technical work?

I feel like I’ve learned a considerable deal. I’m not an ML engineer. I’ve worked mostly on the front end in gaming, so just being able to go deeper than I have about how these models work has been huge. My hope is that the actions we’re taking to promote civility translate to a level of empathy in the online community that has been lacking.  

One last learning is that everything depends on the training data you put in. And for the data to be accurate, humans have to agree on the labels being used to categorize certain policy-violating behaviors. It’s really important to train on quality data that everyone can agree on. It’s a really hard problem to solve. You begin to see areas where ML is way ahead of everything else, and then other areas where it’s still in the early stages. There are still many areas where ML is still growing, so being cognizant of its current limits is key. 

Which Roblox value does your team most align with?

Respecting the community is our guiding value throughout this process. First, we need to focus on improving civility and reducing policy violations on our platform. This has a significant impact on the overall user experience. Second, we must carefully consider how we roll out these new features. We need to be mindful of false positives (e.g. incorrectly marking something as abuse) in the model and avoid incorrectly penalizing users. Monitoring the performance of our models and their impact on user engagement is crucial. 

What excites you the most about where Roblox and your team are headed?

We have made significant progress in improving public voice communication, but there is still much more to be done. Private communication is an exciting area to explore. I think there’s a huge opportunity to improve private communication, to allow users to express themselves to close friends, to have a voice call going across experiences or during an experience while they interact with their friends. I think there’s also an opportunity to foster these communities with better tools to enable users to self-organize, join communities, share content, and share ideas.

As we continue to grow, how do we scale our chat technology to support these expanding communities? We’re just scratching the surface on a lot of what we can do, and I think there’s a chance to improve the civility of online communication and collaboration across the industry in a way that has not been done before. With the right technology and ML capabilities, we’re in a unique position to shape the future of civil online communication.

The post Inside the Tech – Solving for Safety in Immersive Voice Communication appeared first on Roblox Blog.

Self-expression is a vital part of many people’s experiences in immersive 3D spaces—especially Gen Z, who are growing up building connections in digital worlds. That’s why we’ve put together the 2023 Digital Expression, Fashion & Beauty Trends Report, which explores the full spectrum of self-expression through avatars, including brand considerations, the psychology behind creating an avatar look and the impact of authentic self-expression on people’s physical style, purchasing decisions, and even mental well-being. 

This work builds on the research we did last year that provided valuable early insights on how people express themselves in immersive spaces. Our 2023 report offers new insights that will help creators, brands and industry experts better anticipate and respond to quickly evolving consumer needs.

Here are the top 5 takeaways from the 2023 report*:

1. The importance of digital self-expression continues to grow

In this year’s survey* of over 1,500 members of Gen Z in the U.S. and UK who are active on platforms like Roblox, 56% say styling their avatar is more important to them than styling themselves in the physical world. And for older Gen Z aged 22-26, 64% say that, given a choice, dressing up their avatar would be more important than dressing up in the physical world.

Additionally, 84% of Gen Z respondents say digital fashion is at least somewhat important for them, and  85% think the importance of digital fashion has grown at least some over the past year. More than half (53%) think it’s grown a lot.

These findings echo what we see on our platform: self-expression through digital identity and fashion is an essential part of people’s experience. For example, during the first three quarters of 2023 on Roblox, there were a total of 165 billion avatar updates, up 38% year over year, and people bought nearly 1.6 billion digital fashion items and accessories, up 15% year over year. Plus, millions of Roblox users continue to update their avatars every day.

But the influence of digital style and fashion doesn’t stay in the virtual world. In the survey, 84% report that their physical style is at least somewhat inspired by their avatar’s style, including 54% who say they are very or extremely inspired by what their avatar and other avatars wear.

2. Brand recognition matters for Gen Z in the metaverse

When it comes to metaverse fashion, survey respondents stress that they care about distinct styles and brand recognition: 52% say “stylish digital clothes” is the attribute they pay most attention to when deciding if an avatar is “cool-looking.” And three in four say wearing digital fashions from a recognized brand is at least somewhat important, including 47% of survey respondents who say it’s very or extremely important.

This dynamic can drive purchasing behavior: 84% say that after wearing or trying on a brand’s item in virtual spaces, they’d be at least somewhat likely to consider this brand in the physical world. In fact, 50% say they’d be very or extremely likely to do so.

3. Consumers are open to spending on digital fashion—the more exclusive the better

Meanwhile, designers and brands will be happy to learn that most Gen Z users are also willing to spend on digital fashion: in our survey, 52% say they’re comfortable budgeting up to $10 each month, while another 19% are willing to spend up to $20 monthly and an additional 18% are open to buying $50-$100 of items every month. 

The launch of Limiteds this year highlighted Roblox users’ demand for exclusive and rare items, as evidenced by most Limiteds reselling for more than their original cost.

For example, community members lined up to earn Limiteds via challenges in the Gucci Ancora experience and to buy up items from Roblox-native brands like CHRUSH.

Similarly, a leading electronic music brand, Monstercat, recently teamed up with community creator @WhoseTrade on six single-edition necklaces. Each sold within minutes, including the Ruby Pendant, acquired for 1,000,001 Robux (approximately $10,000), the highest initial Limited sale to date.

4. From head to toe, avatars enable experimentation with expression

While digital fashion is important to Gen Z users, people are also experimenting with other innovative ways of expression through their avatars.

One example of this is avatar makeup, which is already available in some community-created experiences. In addition, numerous brands—like Fenty Beauty, Maybelline, NARS, Givenchy Beauty, NYX, and L’Oreal—are now investing in meeting customers’ interest in it. 

And there’s real opportunity for them. According to our survey, more than a third of all respondents (35%) say it’s important to customize their avatar’s makeup daily or weekly, and the number rises to 51% for self-identifying female respondents. 

People are also increasingly customizing their avatar hair on Roblox. This year alone, users purchased more than 139 million hairstyles, up 20% over the year before, including more than 7.3 million people who bought five or more hairstyles on Roblox.

But self-expression doesn’t end there: Roblox users have increasingly been adopting emotes, and so far this year, 9.8 million Roblox users bought them, up 64% year over year. That’s something that Tommy Hilfiger took note of in introducing emotes into its Roblox digital fashion collection.

Users are also choosing fantastical auras that match their vibe, like a colorful variety available within Paris Hilton’s Slivingland.

And soon, Roblox users will be able to have expressive avatars featuring realistic emotions. That’s likely to be well-received by Gen Z users since 86% of survey respondents say it is at least somewhat important that their avatar is able to express emotions in order to feel fully represented in the metaverse. 

5. Authenticity drives self-expression in immersive spaces and positively impacts well-being

One striking finding from the survey is that most members of Gen Z strive to look good in the metaverse for themselves rather than for others. When choosing their avatar look, 62% say they care a lot that their avatar looks good to them as compared to 37% who say they care a lot that it looks good to others. 

And 40% of Gen Z feel it’s easier to present their authentic selves in the metaverse than in the physical world. Among the reasons cited: more “freedom of expression” and “creative options.” Further, people feel they “can be whoever we want” and that it’s “less judgemental” when they interact with others as avatars in immersive spaces.

In fact, our research showed:

• Twice as many respondents believe they are judged less on their looks in the metaverse than in the physical world, and;
• Respondents were 2.2 times more likely to say that expressing themselves in immersive spaces via their avatar feels better (“more me”) than posting 2D photos from the physical world on social media. 

Finally, respondents cited a positive impact on their mental well-being: 88% say expressing themselves in immersive spaces has likely helped them comfortably express themselves in the physical world. They note it helps build connections with others (29%), boosts confidence (24%), allows for true self-expression (21%), and helps improve mental health in other ways (25%).

A Universal Connector

Authentic self-expression is often described as a universal connector for people: by sharing who we truly are, we can make genuine connections. As Roblox continues building its platform and products for immersive communication and connection, we’re ensuring that people have the broadest set of opportunities to authentically express themselves. We’re excited to continue studying this space because as our research demonstrated, we know that when people have more control over the many elements they can choose to represent themselves in immersive 3D digital spaces, it can lead to positive impacts on their physical-world connections and well-being.

DOWNLOAD THE FULL REPORT HERE

* Methodology: The ‘2023 Digital Expression, Fashion & Beauty Trends’ report includes two complementary sets of data: 

• Behavioral data collected from the Roblox platform from January through September 2023.

• Self-reported survey data collected from 1,545 Gen Z users between the ages of 14 and 26, living in the United States (1027 respondents) and the United Kingdom (518). To obtain these responses, Roblox commissioned a nationally representative survey from Qualtrics fielded September 27-29, 2023. Included stats represent the full respondent sample given sentiment between the two markets (U.S. and UK) was largely similar. The sample has been balanced for gender in both markets using the Census Bureau’s American Community Survey for the U.S. and Office for National Statistics in the UK to reflect the demographic composition of these markets’ population in that age range. In the full report data is referenced as ‘2023 Roblox Self-Expression Survey.’

• For any additional clarifications or questions on the data please contact [email protected].

 

The post Insights From Our Latest Digital Expression, Fashion & Beauty Trends Report appeared first on Roblox Blog.

Inside the Tech is a blog series that accompanies our Tech Talks Podcast. In episode 19 of the podcast, International, Roblox CEO David Baszucki spoke with Product Senior Director Zhen Fang about Roblox’s International strategy, and the technical challenges we’re solving to ensure a localized experience for tens of millions of people around the globe. In this edition of Inside the Tech, we talked with Engineering Manager Ravali Kandur to learn more about one of those technical challenges, multilingual and semantic search, and how the Growth team’s work is helping Roblox users across the globe search for—and quickly find—anything they want on our platform.

What is the biggest technical challenge your team is taking on?

Until about a year ago, Roblox search used a lexical system to match results to users’ searches, meaning it focused solely on text matching. But search behaviors are changing quickly and that approach is no longer sufficient to give users relevant content. At the same time, some Roblox users may use incorrect spelling in their queries. So, we have to be able to suggest results that match what they’re looking for, which means understanding their intent.

Another major problem in search is a lack of training data across languages. Before semantic search, our first step was to leverage machine translations within the Roblox system. We indexed the translations and then did a text match. But that isn’t sufficient for always showing users relevant content. So, we’ve adopted a more state-of-the-art ML technique called a student-teacher model: the teacher learns from our biggest source of context for any specific scenario. 

English is the most used language on Roblox, which is why we learn as many semantic relationships as we can in English—the teacher model—and then we distill it to the student model by extending that to other languages. This helps us solve that problem even though we don’t have a lot of data in certain languages. This has led to a 15% increase in plays originating from search in Japan. 

We’ve recently been working to better support our of catalog queries like “đua xe (racing).” But users are more frequently submitting long, freeform queries, like, “Hey, I remember playing a game where there was a dragon and a girl fighting with it. Can you help me find that?” This presents more technical challenges and we’re continuing to improve our systems along these lines.

What are some of the innovative approaches to incorporating more context and more semantic search?

We’ve built a hybrid search system that takes lexical search and combines it with ML techniques and models utilizing semantic search and the understanding of a query’s intent. We’re continuously evolving our systems to build context understanding, handle complex queries, and return relevant content.

The magic of semantic search is in the embeddings, which are rich representations of a variety of signals we get from all across Roblox. For example, we’re incorporating signals like user demographics, a user’s query, how long it is, or what its unique aspects are. 

We’re also looking at content signals, like experiences, avatar items, and engagement—how often was this game played or how many users did it have, and from how many countries? There are also things like monetization and retention, as well as metadata like an experience’s title, description, or creator. We put all of these through a BERT-based, transformer-based architecture and we use a Multilayer Perceptron at the end to generate embeddings, which become our source of truth. 

Another innovation is our in-house similarity search system. When someone makes a search query, we retrieve the closely-related embeddings, and rank them to be sure they’re relevant to what the user is looking for. And then we return the results to users.

What are some of the key things that you’ve learned from doing this technical work?

Every language presents its own unique challenge. And especially with search, we need to understand what users in different parts of the world are looking for so that we can show them the most relevant results. We have to understand different language elements. For example, pre-trained transformers have been essential to understanding the multiple dialects of Japanese.

Secondly, search query patterns have been changing quite a bit and we have to continuously evolve our technology stack to keep up. At the same time, we need to inform our users about what is possible on our platform, as they may not realize it. For example, we could tell our users that search can support things like freestyle queries (such as racing games or popular food games) and that it understands what people are looking for and can return appropriate results. 

Which Roblox value does your team most align with?

Taking the long view is core to our team and it’s one of the reasons why I love working at Roblox.

One example from my team is our tech stack, which consists of our ML- and NLP-based search systems—semantic search, autocomplete and spelling correction using pre-trained large models.

We’ve built this with reusability in mind across different types of searches made by our tens of millions of daily active users. That means we can plug in a different type of data (for example, avatar items instead of experiences), and it should work with very minimal changes. 

We’ve incorporated semantic search for experiences, and we’ve shared it with other verticals like Marketplace, and they’ve been able to just jump on the existing architecture. It’s not perfectly plug-and-play, but with some fine-tuning, we can adapt it across different use cases.

What excites you the most about where Roblox and your team are headed?

Search is the only surface where users express their explicit intent. And that means it’s essential that we understand what they want and give them the most relevant results. So it’s really exciting to me to work on understanding that intent and educating our users about what is possible, sometimes even before the user realizes it. 

A user in any country can ask something and we can give them exactly what they want and that’s most relevant to them. This builds trust which, in turn, improves retention. It’s exciting to me to take on the challenge of improving search to build that trust and help Roblox achieve our goal of having a billion users.

The post Inside the Tech – Solving for Multilingual & Semantic Search appeared first on Roblox Blog.

Inside the Tech is a blog series that goes hand-in-hand with our Tech Talks Podcast. In episode 19, International, Roblox CEO David Baszucki spoke with Zhen Fang, Head of International, about tackling automatic translation and multilingual search. In this edition of Inside the Tech, we talked with Engineering Manager Kyle Spence about some of the Creator team’s key technical challenges: automatically translating Roblox content in the 15 languages we support. In doing so, we are helping users understand content both on the platform and in-experience, no matter what language it’s in. In doing so, we’re ensuring a localized experience for tens of millions of people around the globe.

Tell us about the big technical challenges your team is trying to solve for?

Roblox is a platform for communication and connection through 3D experiences. Creators can make and share anything they want on Roblox. And our platform lets them share their creations with people from around the world. But while our global community is huge, many creators only speak one language, which can make it hard for people to communicate with one another on our platform. 

We want everyone to enjoy any creator’s content, and interact and make friendships, no matter where they live and what language they speak. So in order to overcome language barriers, we need to be able to localize what people see and hear in real-time in 15 languages. 

We have in-house translators who can easily handle more established things like navigation and instructions on our website. But it’s a much bigger challenge when we don’t know what creators are making, and so we’ve focused initially on trying to provide automatic translations for creators’ experiences. Our next big technical challenge will be to do automatic translation across all kinds of content, from text to images, 3D meshes, avatar items, game products, game passes, badges, and so on. 

Eventually, we hope most people will be able to use Roblox and not even realize anything is translated because everything’s in their natural language. 

What are some of the innovative solutions we’re building to address these technical challenges?

When it comes to translating text, voice, and images, we’re starting to utilize natural language processing (NLP), which incorporates some of the ML mastery we have at Roblox. Implementing NLP required building our own translation models, which are significantly more efficient. Over time, we’ll continue improving on the quality and the cost factor. In fact, we’ve already lowered the cost of our experience translation models by over 70% this year. 

The other thing is successfully translating all kinds of content, including images, like a handwritten sign. That’s an example of where we’re looking at how to translate beyond typed text.

And we’re also starting to see progress on our research work on voice chat translation. So imagine a German speaker chatting on Roblox with an English speaker. Each would hear what the other says —the voice characteristics, the rhythm, the emotion—at low latency, but in their own language.

We want low latency, which is hard with many languages because of different sentence structures. But Roblox has some interesting benefits when it comes to building translation models. Our content has a lot of predictability in how people talk, no matter their language, and that’s really helpful for training our models. So when someone says something on Roblox, it’s probable a specific sound will follow. That can narrow down quite a bit of language space.

What are the key learnings from doing this technical work?

One is that third-party translators don’t understand specific Roblox contexts, like an obby (or obstacle course), so they can’t translate things like that into multiple languages. But providing even some understanding helps players have a better time. 

So we train our models on Roblox content, which means they can provide higher-quality translations. Then we can decide on the quality level we want and adjust to changes in language over time. For example, the slang of 10 years ago isn’t today’s slang. So we’re always updating these models. Our systems give us a pretty reasonable sense of how we’re reacting to content we haven’t seen yet and how to train the models to make them better.

We also have to adapt to our massive scale. As creators build more experiences and as more people communicate on our platform, we need to develop smart ways to use models, caching strategies, and storing strategies across every use case. 

So a developer could make an experience in the United States that becomes popular in Japan, even though they don’t speak Japanese and didn’t promote it there. But now they can have a Japanese user base in part because of automatic translation. And players can make true connections on Roblox with people from around the world with different cultural backgrounds. That’s exciting because the whole point of our team is connecting people and expanding the reach of creators’ content.

Which Roblox value best aligns with your team’s work?

We really lean into innovation and aim for these crazy bets aligned with our vision for the platform. We execute relentlessly towards them even though we might fail. We grind through it and make it work, even if there’s no precedent to follow.

That’s one of the main things I love about Roblox—coming up with crazy ideas and having leadership say, “Let’s see if we can make it work.” As long as we’re learning from it, it’s worth the risk.

What excites you most about where your team and Roblox in general are headed?

Working on challenging, interesting, innovative projects where success means massively impacting society, making the world smaller, and connecting everyone together.  A big part is our engineering-first mentality: leadership has high-level ideas but trusts the people on the teams to decide how we get there. Having that support from above is really important.

And within teams, we’re really collaborative. We look at other people’s code with no ego. It’s okay to challenge ideas if we emerge with something really powerful.

The post Inside the Tech – Solving for Automatic Translations on Roblox appeared first on Roblox Blog.