How we work
Stability
Can stability be exciting? We think so. A solid foundation means you can take bigger
leaps.
It means you can ask riskier questions. It means that if you fall you can try again—and next
time, you’ll leap further.
Interesting problems
Some tech companies do fascinating work, but their people aren’t encouraged to
follow
new thoughts or explore different directions.
Would you rather swim in a narrow lane or plunge into an ocean?
Impact
What if you could study academic problems that weren’t
theoretical?
What if your work was applicable to the real world? What if you could ask “what if”
and the
answer mattered?
Freedom
Not everyone thrives without direction.
Not everyone prefers objectives over tasks. Not everyone fits here. But the few
who do?
You’ll be exhilarated.
This is where we play:
at the intersection of stability, interesting problems, impact, and freedom.
Big companies can offer you some of that—but you’ll be a cog in the wheel. Tiny startups can provide other benefits—along with messy code and uncertainty. And academics institutions are just that—academic.
At Happy Elements, you’ll be squarely in that “just right” place where you can shape your work without worrying about resources or underlying code. Where you can harness dynamic feedback loops. And where you can follow that data into uncharted territory.
Stability
Can stability be exciting? We think so. A solid
foundation means you can
take bigger leaps.
It means you can ask riskier questions. It means that if you
fall you can try
again—and next time, you’ll leap further.
Interesting problems
Some tech companies do fascinating work, but their
people aren’t
encouraged to follow new thoughts or explore different
directions.
Would you rather swim in a narrow lane or plunge into an
ocean?
Impact
What if you could study academic problems that
weren’t
theoretical?
What if your work was applicable to the real world? What if
you could ask “what
if” and the answer mattered?
Freedom
Not everyone thrives without
direction.
Not everyone prefers objectives over tasks. Not everyone
fits here. But the few
who do? You’ll be exhilarated.
This is where we play:
at the intersection of stability, interesting problems, impact, and freedom.
Big companies can offer you some of that—but you’ll be a cog in the wheel. Tiny startups can provide other benefits—along with messy code and uncertainty. And academics institutions are just that—academic.
At Happy Elements, you’ll be squarely in that “just right” place where you can shape your work without worrying about resources or underlying code. Where you can harness dynamic feedback loops. And where you can follow that data into uncharted territory.
Great minds don’t think alike
Here are a few problems we’ve solved. How would you approach them?
Best Intervention Strategies
At Happy Elements, we have a variety of games played by millions of users every day, From time to time, we launch marketing campaigns and new product designs to improve our users' experience. Because each user has their own preferences and needs, an intervention that works well for one group of users may not work well for another. So we use uplift modeling, an emerging approach combining causal inference and machine learning, to estimate and predict the individual treatment effect (ITE). Our artificial intelligence & data science team help our product team to optimize intervention performance by promoting the right intervention to the right users--users who are most likely to benefit from the intervention based on the ITE estimates.
Pricing Virtual Goods
Estimating the demand and identifying the optimal pricing for virtual goods in games is interesting, but challenging. Different players may exhibit a very different willingness to pay for the same virtual goods. The demand also changes significantly with game development and over time. At Happy Elements, we offer lots of "freemium" games, games users can play for free. How to price virtual goods is the key to the success of these games. Our AI & DS team research and develop approaches that combine economic models with machine learning algorithms to estimate the demand for virtual goods. This approach has been successfully deployed to different games, significantly increasing the conversion rate and total revenue.