Senior Staff AI Engineer

Amplitude
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Job Description

Amplitude is a leading digital analytics platform that helps companies unlock the power of their products. Almost 2,000 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 also 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

Who We Are

The Company: Amplitude is filled with humble, life-long learners who are eager to help one another and the company succeed. Our values of growth mindset, ownership, and humility are core to the way we work: we’re tenacious in the face of challenges, we take the initiative to solve problems that drive our shared success, and we operate from a place of empathy and openness, seeking to understand many points of view. 

The Product: Amplitude is a digital analytics platform—we help companies capture data they can trust, uncover clear insights about customer behavior, and take faster action. This empowers teams to build better product experiences that drive business growth. We’re super proud of what we’ve built and continue to expand: a platform that empowers companies to thrive in the digital era.

Some of our benefit programs include:

  • Flexible time off, ​p​aid holidays, and more
  • Generous stipends to spend on what matters most to you, whether that’s wellness (monthly), learning and development (annual), commuter transit/parking (monthly), home office equipment, and much more
  • Excellent Parental benefits including​:​ 12-20 weeks of Paid Parental Leave, Carrot Fertility Benefits/Adoption/Surrogacy support, Back-up Child Care support 
  • Mental health and wellness benefits including no cost employee access to Modern Health coaching & therapy Sessions 
  • Employee Stock Purchase Program​ (ESPP)​

Other fun facts about Amplitude: 

  • G2: #1 product analytics solution and #3 best software product according to the 2022 G2 Best Software report.
  • Business Insider: A top tech company to bet your career on.
  • Fast Company: #3 most innovative enterprise company in the world.
  • Amplitude went public via a direct listing in September 2021 and is now trading under the ticker AMPL. 
  • Founded in 2012, Amplitude is backed by Benchmark Capital, Sequoia Capital, IVP, Battery Ventures, Y Combinator and other top tier investors.
  • We’re a global and fast-growing team! We have offices in San Francisco (HQ), New York, Vancouver, Amsterdam, London, Paris, Singapore, and employees around the world.
  • Our mascot is the datamonster, who loves to chow down on numbers, charts, and graphs. Nom nom.

Company Info.

Amplitude

Amplitude Inc. is an American public company that develops digital analytics software. The company was listed publicly on the Nasdaq stock exchange under the ticker symbol AMPL on September 28, 2021, at a market capitalization of $7.1 billion after its first day of trading.

  • Industry
    Information Technology,Computer software
  • No. of Employees
    700
  • Location
    San Francisco, CA, USA
  • Website
  • Jobs Posted

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