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Let’s say that your company is running a standard control and variant AB test on a feature to increase conversion rates on the landing page. The PM checks the results and finds a .04 p-value.

How would you assess the validity of the result?

Experiment Validity

Suppose there exists a new airline named Jetco that flies domestically across North America. Jetco recently had a study commissioned that tested the boarding time of every airline, and it came out that Jetco had the fastest average boarding times of any airline.

What factors could have biased this result, and what would you look into?

What could potentially bias the average boarding time in favor of an airline that only flies domestically?

What could potentially bias the average boarding time in favor of an airline that only flies domestically?

Boarding Times Bias

A new airline came out as the fastest average boarding times compared to other airlines.  What factors could have biased this result and what would you look into?

You are testing hundreds of hypotheses with many t-tests. What considerations should be made?

What is a key disadvantage of the F-test when compared to multiple t-tests?

What is a key disadvantage of the F-test when compared to multiple t-tests?

Hundreds of Hypotheses

You are testing hundreds of hypotheses with many t-tests. What considerations should be made?

Applovin Salaries by Position

<div><div>About AppLovin AppLovin makes technologies that help businesses of every size connect to their ideal customers. The company provides end-to-end software and AI solutions for businesses to reach, monetize and grow their global audiences. For more information about AppLovin, visit: www.applovin.com. To deliver on this mission, our global team is composed of team members with life experiences, backgrounds, and perspectives that mirror our developers and customers around the world. At AppLovin, we are intentional about the team and culture we are building, seeking candidates who are outstanding in their own right and also demonstrate their support of others. Fortune recognized AppLovin as one of the Best Workplaces in the Bay Area 2022, and is a Certified Great Place to Work in 2021, 2022 and 2023. Check out the rest of our awards HERE. Company Overview At AppLovin, we’re at the forefront of the advertising technology industry. Our cutting-edge platform connects businesses with their potential customers using advanced machine learning technologies. With state-of-the-art ML infrastructure and models, our system rivals those of industry giants. We take pride in providing top-of-the-line compensation packages in the industry and are actively seeking extraordinary machine learning engineers to join our exceptional team. Position Overview We are looking for a seasoned Machine Learning Engineer with a specialization in ML infrastructure and deep learning architecture. In this role, you will play a pivotal part in developing cutting-edge deep learning architectures and advancing our ML infrastructure. If you’re passionate about pushing the boundaries of machine learning technology, building multi-billion dollar businesses with advanced algorithms, and are excited to work in a dynamic, innovative environment, this is the opportunity you’ve been waiting for. Responsibilities <ul><li>Deep Learning Architectures: Design, develop, and implement deep learning architectures that drive innovation and improve the performance of our advertising technology. Stay up-to-date with the latest advancements in deep learning research and apply them to real-world applications.</li><li>Advance ML Infrastructure: Lead efforts to enhance and scale our ML infrastructure, ensuring its reliability, efficiency, and scalability. Collaborate with cross-functional teams to optimize data pipelines, model deployment, and monitoring systems.</li><li>Collaboration: Work closely with our talented team of machine learning engineers, data scientists, and software engineers to integrate your solutions into our platform seamlessly.</li><li>Performance Optimization: Continuously optimize machine learning models and algorithms to improve ad targeting, recommendation systems, and customer insights.</li><li>Research and Development: Stay at the forefront of machine learning research and apply innovative techniques to solve complex challenges in the advertising technology space. </li></ul>Qualifications <ul><li>Master’s or Ph.D. in Computer Science, Machine Learning, or a related field.</li><li>Proven experience in ML infrastructure design, optimization, and scalability.</li><li>Expertise in deep learning architectures and frameworks (e.g., PyTorch, TensorFlow).</li><li>Strong programming skills in Python and proficiency in relevant ML libraries.</li><li>Solid understanding of distributed computing, cloud platforms, and big data technologies.</li><li>Excellent problem-solving abilities and a track record of delivering innovative solutions.</li><li>Strong communication skills and the ability to work collaboratively in a team environment. </li></ul>What We Offer <ul><li>Competitive compensation package, including top-tier salaries in the industry</li><li>Free medical, dental, and vision insurance</li><li>401k matching and employee stock purchase plan</li><li>A dynamic and inclusive work environment that encourages creativity and innovation.</li><li>Opportunities for career growth and professional development.</li><li>Access to cutting-edge technology and resources.</li><li>A chance to make a significant impact on the advertising technology landscape. </li></ul>Join us in pushing the boundaries of machine learning technology and be a part of our mission to connect businesses with their potential customers through advanced ML solutions. If you’re an extraordinary ML engineer looking to contribute to a dynamic, high-impact team, we want to hear from you. The expected base pay range for this CA based position is $167,000 - $266,000. Total compensation at AppLovin is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Depending on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical and other benefits. AppLovin is proud to be an equal opportunity employer that is committed to inclusion and diversity. All applicants will be considered for employment without attention to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran or disability status, or other legally protected characteristics. Learn more about EEO rights as an applicant here. If you need assistance and/or a reasonable accommodation due to a disability during the application or recruiting process, please send us a request at accommodations@applovin.com. AppLovin will consider for employment all qualified applicants with criminal histories in a manner consistent with applicable law. If you’re applying for a position in California, learn more here. Please read our Global Applicant Privacy Notice to learn more about how AppLovin processes your personal information.</div></div>
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<div><div>About AppLovin AppLovin makes technologies that help businesses of every size connect to their ideal customers. The company provides end-to-end software and AI solutions for businesses to reach, monetize and grow their global audiences. For more information about AppLovin, visit: www.applovin.com. To deliver on this mission, our global team is composed of team members with life experiences, backgrounds, and perspectives that mirror our developers and customers around the world. At AppLovin, we are intentional about the team and culture we are building, seeking candidates who are outstanding in their own right and also demonstrate their support of others. Fortune recognized AppLovin as one of the Best Workplaces in the Bay Area 2022, and is a Certified Great Place to Work in 2021, 2022 and 2023. Check out the rest of our awards HERE. Company Overview At AppLovin, we’re at the forefront of the advertising technology industry. Our cutting-edge platform connects businesses with their potential customers using advanced machine learning technologies. With state-of-the-art ML infrastructure and models, our system rivals those of industry giants. We take pride in providing top-of-the-line compensation packages in the industry and are actively seeking extraordinary machine learning engineers to join our exceptional team. Position Overview We are looking for a seasoned Machine Learning Engineer with a specialization in ML infrastructure and deep learning architecture. In this role, you will play a pivotal part in developing cutting-edge deep learning architectures and advancing our ML infrastructure. If you’re passionate about pushing the boundaries of machine learning technology, building multi-billion dollar businesses with advanced algorithms, and are excited to work in a dynamic, innovative environment, this is the opportunity you’ve been waiting for. Responsibilities <ul><li>Deep Learning Architectures: Design, develop, and implement deep learning architectures that drive innovation and improve the performance of our advertising technology. Stay up-to-date with the latest advancements in deep learning research and apply them to real-world applications.</li><li>Advance ML Infrastructure: Lead efforts to enhance and scale our ML infrastructure, ensuring its reliability, efficiency, and scalability. Collaborate with cross-functional teams to optimize data pipelines, model deployment, and monitoring systems.</li><li>Collaboration: Work closely with our talented team of machine learning engineers, data scientists, and software engineers to integrate your solutions into our platform seamlessly.</li><li>Performance Optimization: Continuously optimize machine learning models and algorithms to improve ad targeting, recommendation systems, and customer insights.</li><li>Research and Development: Stay at the forefront of machine learning research and apply innovative techniques to solve complex challenges in the advertising technology space. </li></ul>Qualifications <ul><li>Master’s or Ph.D. in Computer Science, Machine Learning, or a related field.</li><li>Proven experience in ML infrastructure design, optimization, and scalability.</li><li>Expertise in deep learning architectures and frameworks (e.g., PyTorch, TensorFlow).</li><li>Strong programming skills in Python and proficiency in relevant ML libraries.</li><li>Solid understanding of distributed computing, cloud platforms, and big data technologies.</li><li>Excellent problem-solving abilities and a track record of delivering innovative solutions.</li><li>Strong communication skills and the ability to work collaboratively in a team environment. </li></ul>What We Offer <ul><li>Competitive compensation package, including top-tier salaries in the industry</li><li>Free medical, dental, and vision insurance</li><li>401k matching and employee stock purchase plan</li><li>A dynamic and inclusive work environment that encourages creativity and innovation.</li><li>Opportunities for career growth and professional development.</li><li>Access to cutting-edge technology and resources.</li><li>A chance to make a significant impact on the advertising technology landscape. </li></ul>Join us in pushing the boundaries of machine learning technology and be a part of our mission to connect businesses with their potential customers through advanced ML solutions. If you’re an extraordinary ML engineer looking to contribute to a dynamic, high-impact team, we want to hear from you. The expected base pay range for this CA based position is $192,000 - $294,000. Total compensation at AppLovin is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Depending on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical and other benefits. AppLovin is proud to be an equal opportunity employer that is committed to inclusion and diversity. All applicants will be considered for employment without attention to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran or disability status, or other legally protected characteristics. Learn more about EEO rights as an applicant here. If you need assistance and/or a reasonable accommodation due to a disability during the application or recruiting process, please send us a request at accommodations@applovin.com. AppLovin will consider for employment all qualified applicants with criminal histories in a manner consistent with applicable law. If you’re applying for a position in California, learn more here. If you are a California resident, read our CA Privacy Notice to learn more about how AppLovin processes your personal information.</div></div>
#J-18808-Ljbffr

<div>Company Overview:
At AppLovin, we’re at the forefront of the advertising technology industry. Our cutting-edge platform connects businesses with their potential customers using advanced machine learning technologies. With state-of-the-art ML infrastructure and models, our system rivals those of industry giants. We take pride in providing top-of-the-line compensation packages in the industry and are actively seeking extraordinary machine learning engineers to join our exceptional team.
Position Overview:
We are looking for a Machine Learning Engineer with a specialization in ML infrastructure and deep learning architecture. In this role, you will play a pivotal part in developing cutting-edge deep learning architectures and advancing our ML infrastructure. If you’re passionate about pushing the boundaries of machine learning technology, building multi-billion dollar businesses with advanced algorithms, and are excited to work in a dynamic, innovative environment, this is the opportunity you’ve been waiting for.
Responsibilities:
<ul>
<li>Deep Learning Architectures: Design, develop, and implement deep learning architectures that drive innovation and improve the performance of our advertising technology. Stay up-to-date with the latest advancements in deep learning research and apply them to real-world applications.</li>
<li>Advance ML Infrastructure: Lead efforts to enhance and scale our ML infrastructure, ensuring its reliability, efficiency, and scalability. Collaborate with cross-functional teams to optimize data pipelines, model deployment, and monitoring systems.</li>
<li>Collaboration: Work closely with our talented team of machine learning engineers, data scientists, and software engineers to integrate your solutions into our platform seamlessly.</li>
<li>Performance Optimization: Continuously optimize machine learning models and algorithms to improve ad targeting, recommendation systems, and customer insights.</li>
<li>Research and Development: Stay at the forefront of machine learning research and apply innovative techniques to solve complex challenges in the advertising technology space.</li>
</ul>
Qualifications:
<ul>
<li>Master’s or Ph.D. in Computer Science, Machine Learning, or a related field.</li>
<li>Experience in deep learning architectures and frameworks (e.g., PyTorch, TensorFlow).</li>
<li>Strong programming skills in Python and proficiency in relevant ML libraries.</li>
<li>Solid understanding of distributed computing, cloud platforms, and big data technologies.</li>
<li>Excellent problem-solving abilities and a track record of delivering innovative solutions.</li>
<li>Strong communication skills and the ability to work collaboratively in a team environment.</li>
</ul>
What We Offer:
<ul>
<li>Competitive compensation package, including top-tier salaries in the industry</li>
<li>Free medical, dental, and vision insurance</li>
<li>401k matching and employee stock purchase plan</li>
<li>A dynamic and inclusive work environment that encourages creativity and innovation.</li>
<li>Opportunities for career growth and professional development.</li>
<li>Access to cutting-edge technology and resources.</li>
<li>A chance to make a significant impact on the advertising technology landscape.</li>
</ul>
Join us in pushing the boundaries of machine learning technology and be a part of our mission to connect businesses with their potential customers through advanced ML solutions. If you’re an extraordinary ML engineer looking to contribute to a dynamic, high-impact team, we want to hear from you.
The expected base pay range for this CA based position is $134,000 - $207,000. Total compensation at AppLovin is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Depending on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical and other benefits.
We use Covey as part of our hiring and / or promotional process for jobs in NYC and certain features may qualify it as an AEDT. As part of the evaluation process we provide Covey with job requirements and candidate submitted applications. We began using <a href="#">Covey Scout for Inbound</a> on March 12, 2024.
Please see the independent bias audit report covering our use of Covey <a href="#">here</a>.</div>
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