Staff Software Engineer, Machine Learning

3 Weeks ago • 6 Years +
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About the job

SummaryBy Outscal

Generative AI expert needed to build infrastructure for Niantic's games and AR platform. Must have 6+ years software development experience, 3+ years with machine learning/AI.

Niantic’s Engineering Team seeks a Staff Software Engineer specialized in Generative AI Infrastructure to build platforms that empower engineers and researchers to create innovative user experiences with the emerging Generative AI technologies. Our team powers capabilities across our games, geo-based, and AR platforms through productionizing large scale models. Your work will directly help grow the features in our games as well as the capabilities of our technology platforms.

Niantic Engineering leads the advancement of AR and other immersive technologies while creating engaging apps for a user base in the billions.

Responsibilities

  • Co-lead the technology and innovation strategy for Generative AI infrastructure at Niantic.
  • Stay up-to-date on the latest Generative AI infrastructure innovations, build and iterate the full-stack Generative AI infrastructure.
  • Stay up-to-date on the latest Generative AI model innovations, proactively manage the internal-hosting model fleet.
  • Work with cross-functional partners, including engineers, machine learning researchers, product managers, game producers and art designers, to understand their technical needs, or translate their non-technical demands into technical requirements, and develop platform solutions that accelerate their journeys.
  • Collaborate with team members and stakeholders, including regular and reliable attendance and participation in meetings.
  • Enable cutting-edge Generative AI application prototyping and development on multiplatform through infrastructure building blocks.
  • Contribute to the growth of the Generative AI ecosystem at Niantic by producing and maintaining high quality documentations, organizing interactive codelabs etc.

Qualifications

  • You have at least a Bachelor’s degree in Computer Science or equivalent.
  • You have at least 6 years of experience in software development, and with data structures/algorithms.
  • You have at least 3 years of experience with machine learning/AI in a software development environment.
  • You have experience developing and maintaining machine learning platforms.
  • Ability to work in a fast-paced hybrid environment and handle stress appropriately and/or ability to solve practical problems and be sufficiently adaptable to handle dynamic situations with little advance notice.
  • Experience working on cross-functional teams with ability to communicate effectively through written and verbal communications, including asynchronous interactions with others.
  • You have strong proficiency in English and effective communication skills.

Plus If...

  • You have experience in Generative AI infrastructure.
  • You have experience with machine learning/AI in a cloud native environment.
  • You have experience with infrastructure cost management in a cloud native environment.
  • You have experience in edge-computing.

Join our team and co-lead the future of Generative AI Infrastructure at Niantic!

The total compensation package for this position includes a new hire offer base salary range of $244,000 - $271,000 + bonus + equity + benefits.

Individual pay within this salary range is determined by work location and additional factors, including assessed job-related skills, experience, and relevant education or training. Your recruiter can answer any questions about new hire total compensation during the hiring process. An overview of benefit offerings for your location can be found on the careers page.

Join the Niantic team!

Niantic's global-scale augmented reality platform and digital map powers spatial computing experiences in the real world. Incubated out of the Maps team at Google, Niantic first created Ingress and then Pokémon GO, a cultural phenomenon and hit game played by tens of millions of people each month. Niantic’s Lightship platform, which powers Pokémon GO, also supports the company's other games including Pikmin Bloom, Peridot and Monster Hunter Now. Developers use Niantic’s platform to build their own AR applications and experiences, either with the Lightship Platform or directly through the web with 8th Wall.

We believe that cultivating a workplace where our people are supported and included is essential to creating great products our community will love. Our mission emphasizes seeking and hiring diverse voices, including those who are traditionally underrepresented in the technology industry, and we consider this to be one of the most important values we hold close.

Niantic is a hybrid first company. We believe that in person interaction and collaboration fosters creativity, a sense of community, and is critical to our future success as a company. Our hybrid work schedules allow for a mix of remote and in-office work.

We're a hard-working, fun, and exciting group who value intellectual curiosity and a passion for problem-solving! We have growing offices located in San Francisco, Sunnyvale, Palo Alto, Bellevue, Kansas, London, Tokyo, Hamburg, Hyderabad, and Zurich. #LI-HYBRID

$244.0K - $271.0K/yr (Outscal est.)
$257.5K/yr avg.
San Francisco, California, United States

About The Company

Niantic inspires people to explore the world, together. Our mission is to use emerging augmented reality (AR) technology to enrich our experiences as human beings in the physical world. Originally formed at Google in 2011, we are now an independent company with a strong group of investors including Nintendo, The Pokémon Company, and Alsop Louie Partners. We have offices located in San Francisco, Sunnyvale, Seattle, Lawrence, Los Angeles, Tokyo, London, Hamburg, and Zurich. 

California, United States (Hybrid)

California, United States (Hybrid)

California, United States (Hybrid)

California, United States (Hybrid)

California, United States (Hybrid)

California, United States (On-Site)

Tokyo, Japan (Hybrid)

California, United States (On-Site)

Washington, United States (Hybrid)

California, United States (Hybrid)

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