![Niantic logo](https://s3.us-west-1.amazonaws.com/s3-images.employbl.com/company-images/niantic-logo.jpg)
Senior Software Engineer, Machine Learning - Niantic
View Company Profile- Job Title
- Senior Software Engineer, Machine Learning
- Job Location
- San Francisco, CA
- Job Listing URL
- https://job-boards.greenhouse.io/niantic/jobs/7517214002
- Job Description
Niantic’s Engineering Team seeks a Senior Software Engineer specialized in Machine Learning Engineering to build machine learning models and systems that create innovative user experiences with the emerging machine 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
- Build and maintain scalable systems and applications to productionize machine learning models.
- Develop automation tools and processes to streamline model training, evaluation and deployment workflows.
- Optimize application performance to ensure efficient resource utilization and minimize latency in model inference.
- Implement and maintain monitoring and alerting solutions to ensure the reliability and availability of machine learning applications.
- Prototype and build applications and features with generative AI models.
- Collaborate with cross-functional teams to understand requirements and design machine learning solutions that meet business objectives.
- Participate in code reviews, design discussions, and architecture planning sessions to maintain high-quality standards in software development practices.
- Troubleshoot and resolve issues related to machine learning systems, working closely with stakeholders to identify root causes and implement solutions.
- Collaborate with cross-functional team members and stakeholders, including regular and reliable attendance and participation in meetings.
- Required in-office 2 days on Tuesday and Wednesday.
Qualifications
- You have at least a Bachelor’s degree in Computer Science, Engineering, or a related field.
- 4+ years of experience in software development, and with data structures/algorithms.
- You have experience in designing, building, and optimizing machine learning systems or applications.
- Strong proficiency in programming languages such as Python or Java, with experience in developing production-quality code.
- 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 synchronous interactions with others.
Plus If...
- You have experience productionizing machine learning or generative AI models.
- You have experience with machine learning/AI in a cloud native environment.
- You have experience in building models to tackle real world challenges.
- You have experience with DevOps practices, continuous integration/continuous deployment (CI/CD) pipelines, and infrastructure as code (IoC) tools (e.g., Terraform, Ansible) is a plus.
- You have strong communication skills with the ability to convey complex technical concepts to both technical and non-technical stakeholders.
Join our team to use AI to inspire people to explore the world, together!
The total compensation package for this position includes a new hire offer base salary range of $209,700 - $233,000 + 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
Everything You Need, One Platform.
From job listings to startups, investors to funding rounds, and everything in between, Employbl puts the power in your hands. Why wait?
Start your free trial today!Stay Ahead of the Curve
Sign up for our newsletter to stay informed about the latest startups and trends in the tech market. Let Employbl be your guide to success.
Niantic Company Size
Between 500 - 1,000 employees
Niantic Founded Year
2010
Niantic Total Amount Raised
$770,000,000
Niantic Funding Rounds
View funding detailsSeries D
$300,000,000 USD
Series C
$245,000,000 USD
Series B
$200,000,000 USD
Series A
$5,000,000 USD
Series A
$20,000,000 USD