Senior Staff AI Engineer

Amplitude is a leading digital analytics platform that helps companies unlock the power of their products. More than 2,300 customers, including Atlassian, Jersey Mike’s, NBCUniversal, Shopify, and Under Armour, rely on Amplitude to gain self-service visibility into the entire customer journey. Amplitude guides companies every step of the way as they capture data they can trust, uncover clear insights about customer behavior, and take faster action. When teams understand how people are using their products, they can deliver better product experiences that drive growth. 

As an organization, we approach challenges with humility, take ownership of our contributions, and embrace a growth mindset that pushes us to constantly improve ourselves, each other, and the value we bring to customers and partners.

Amplitude’s Commitment to Diversity Equity & Inclusion (DEI): Amplitude believes that diversity enables the creation of better products, improves the ability to solve complex problems, and drives more powerful solutions. We strive to create an environment of inclusion—one focused on psychological safety, empathy, and human connection—that will allow employees of all backgrounds to thrive.

Amplitude is a leading digital analytics platform that helps companies unlock the power of their products. More than 2,300 customers, including Atlassian, Jersey Mike’s, NBCUniversal, Shopify, and Under Armour, rely on Amplitude to gain self-service visibility into the entire customer journey. Amplitude guides companies every step of the way as they capture data they can trust, uncover clear insights about customer behavior, and take faster action. When teams understand how people are using their products, they can deliver better product experiences that drive growth. 

As an organization, we approach challenges with humility, take ownership of our contributions, and embrace a growth mindset that pushes us to constantly improve ourselves, each other, and the value we bring to customers and partners.

 

Amplitude’s Commitment to Diversity Equity & Inclusion (DEI): Amplitude believes that diversity enables the creation of better products, improves the ability to solve complex problems, and drives more powerful solutions. We strive to create an environment of inclusion—one focused on psychological safety, empathy, and human connection—that will allow employees of all backgrounds to thrive.

 

Senior Staff AI Engineer 

Do you want to develop and operate production ML systems using volumes of human behavioral data not available to anyone else in the world? Do you want to work closely with customers, Product Engineers, and other ML Engineers to rapidly iterate on models and features that get used within hours of you building them? Do you want to train the world’s first Large Behavioral Model?

If the answer to those questions is “yes!”, keep reading.

Amplitude has been an AI company for years - we have ML products that customers have been using to power their own products for the last 2 years, and we’ve been making use of AI internally to make our product smarter in just about every way.

Behavioral data is incredibly important for any user-facing AI/ML features. We’re able to use Amplitude’s incumbency in the Product Analytics space to go beyond RLHF by using behavior to measure model effectiveness, and train massive models on our many petabytes of data that will become general human-prediction machines.

At Amplitude, we’re dedicated to building analytics that helps our customers use data to build better products and drive growth. We’re already the platform of choice for many top product teams around the world including Microsoft, Square, and Airbnb.

 

As a Senior Staff ML / AI  Research Engineer, you will:

• Work closely with other ML Engineers and Product Engineering to build models that solve real problems for customers, and get used immediately
• Challenge, learn from, and teach your fellow ML + Product Engineers
• Contribute to the engineering culture of a team distributed between London and San Francisco
• Contribute to, and be a technical leader for a Python ML codebase and TypeScript application codebase
• Lead engineering discussions and mentor others on engineering best practices
• Participate in design and code reviews

 

You’ll be a great fit if you:

• Worked on industrial ML models on very large datasets (100 GB+ size) end to end
• Developed & Productionized Deep Learning Models

 

Extra street cred if you:

• Have worked closely with Product Engineering in the past
• Enjoy Meetups/Hackathons
• Love pair programming
• Enjoy teaching, mentoring, and sharing knowledge