Machine Learning Scientist at Niantic

Sunnyvale, California, United States

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Not SpecifiedCompensation

Mid-level (3 to 4 years)Experience Level

Full TimeJob Type

UnknownVisa

Gaming, Mobile Games, Artificial IntelligenceIndustries

Requirements

Candidates must possess an M.S. or Ph.D. in Computer Science, Machine Learning, Statistics, or a related technical field, with at least 2 years of experience developing ML systems in a production environment. Proficiency in Python and ML libraries like PyTorch, TensorFlow, or Scikit-learn is required, along with experience in applied ML techniques such as supervised learning, clustering, or deep learning. Strong analytical and problem-solving skills with a product mentality are essential, as is the ability to communicate technical concepts clearly to multi-functional teams and work effectively in a fast-paced hybrid environment. Experience working on cross-functional teams with strong communication skills is also necessary.

Responsibilities

The Machine Learning Scientist will craft and develop machine learning models for intelligent gameplay features, leveraging real-world data to inform in-game decision-making and adapt to player environments. This role involves partnering with product and design teams to translate gameplay ideas into ML-powered systems, collaborating with data science and engineering teams to optimize data pipelines, and conducting experimentation and A/B testing to measure product impact. The scientist will also contribute to the design of ML infrastructure, tools, and workflows that support model lifecycles in production.

Skills

Machine Learning

Model Development

Data Analysis

A/B Testing

Experimentation

Data Pipelines

Collaboration

Problem-Solving

Niantic

Develops augmented reality games and experiences

About Niantic

Niantic creates augmented reality (AR) experiences that combine the digital and real worlds, encouraging users to explore and interact with their environment. Their well-known AR games, such as Pokémon GO and Ingress, engage millions of players globally by promoting outdoor activity and social interaction. Niantic's business model includes in-app purchases for virtual items and partnerships with local businesses to enhance player experiences. The company also offers its AR platform, Lightship, to other developers, allowing them to create their own AR applications. Niantic aims to enhance real-world experiences through technology, fostering a sense of community and exploration among users.

San Francisco, CaliforniaHeadquarters

2011Year Founded

$753.1MTotal Funding

SERIES_DCompany Stage

VR & AR, GamingIndustries

501-1,000Employees

Benefits

Hybrid Work Options

Company Equity

Flexible Work Hours

Risks

Privacy concerns from data collection in Pokémon GO may lead to regulatory scrutiny.

Paused AI updates in Wayfarer system could harm brand reputation and user trust.

Proceeding with events amid wildfires poses safety risks and potential PR issues.

Differentiation

Niantic leads in AR gaming with popular titles like Pokémon GO and Ingress.

Their Lightship platform supports large-scale AR interactions and third-party app development.

Niantic's games encourage outdoor activity and social interaction, enhancing real-world experiences.

Upsides

Growing interest in geospatial tech boosts potential for Lightship platform partnerships.

WebXR technology expansion allows Niantic to reach broader audiences via web browsers.

Gamification in fitness apps aligns with Niantic's mission, opening health brand collaborations.

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