Applied Science Lead: AI for Scalable Live-Game ML

Amazon Web Services (AWS); San Diego (CA); On-site; USD 184,000 - 249,000; Full time

Benefits offered by this job

Health insurance

RSUs

Paid time off

Parental leave

Job summary

Amazon Development Center U.S., Inc. in the United States is seeking an Applied Science Manager to lead a new GameLift-focused unit delivering AI/ML-based gaming solutions.

You will own the technical vision, scientific rigor, and end-to-end delivery of applied science initiatives at scale, translating business opportunities into production-grade ML systems with measurable impact. This hands-on technical leader will define and execute the scientific roadmap, mentor a high-performing team, and

Qualifications

• 3+ years of scientists or ML engineers management experience.
• Knowledge of ML, NLP, Information Retrieval and Analytics.
• Knowledge of machine learning approaches and algorithms.
• Experience building complex highly-scalable systems that involve predictive models or applications of ML.
• Experience communicating with users, other technical teams, and management to collect requirements, describe software product features, and technical designs.
• Experience in building machine learning models for business applications.

Responsibilities

• Define and execute the technical roadmap for applied science initiatives, balancing frontier research with production delivery requirements and customer timelines.
• Lead rigorous model development processes including algorithm selection, offline evaluation, A/B testing design, and statistical significance assessment.
• Architect scalable, reusable ML platforms and inference systems designed to serve multiple products without proportional increases in staffing or rebuild cycles.
• Manage and develop a team of applied scientists and ML engineers, providing technical mentorship, career growth opportunities, and performance management.
• Drive end-to-end AI deployment from research prototyping through production inference, owning latency, availability, and cost targets alongside model quality metrics.
• Establish and enforce scientific standards across all team projects, including peer review mechanisms, documentation requirements, and reproducibility practices.
• Partner cross-functionally with product managers, software engineers, and business leaders to translate customer problems into well-scoped technical solutions with clear success criteria.
• Maintain a builder roadmap that sequences product launches against customer commitments, managing dependencies and communicating tradeoffs to stakeholders when scope or timeline pressure arises.
• Enable the team to operate with startup-level autonomy and speed of invention while maintaining the operational discipline required for production systems serving customers at scale.
• Stay current with developments across the AI/ML research landscape, identifying opportunities to apply new techniques.

Skills

ML management

NLP

Analytics

Scalable systems

Requirements gathering

Job description

Amazon Development Center U.S., Inc. in the United States is seeking an Applied Science Manager to lead a new GameLift-focused unit delivering AI/ML-based gaming solutions.

You will own the technical vision, scientific rigor, and end-to-end delivery of applied science initiatives at scale, translating business opportunities into production-grade ML systems with measurable impact. This hands-on technical leader will define and execute the scientific roadmap, mentor a high-performing team, and