Identity Access Management Iam Engineer jobs at Unity

• Design, implement, and scale AI agents that assist in generating game code and executing goal-directed behaviors.
• Define orchestration logic for single- and multi-agent systems
• Develop reusable agentic frameworks - planning modules, memory systems, or policy adaptation layers - for creator extensibility.
• Lead high-impact initiatives, including hierarchical reinforcement learning for scalable behaviors, AI planning and goal inference frameworks for NPCs and simulations, and agent memory and world modeling systems for persistent, believable behavior.
• Collaborate across internal and external teams to unlock innovative use cases in gaming, simulation, and interactive storytelling.
• Contribute to the long-term vision and roadmap for Unity’s agentic AI offerings, ensuring modularity, usability, and performance across platforms.
• Establish and champion best practices for model quality, simulation-based evaluation, and ML/AI safety within real-time systems.

• Advanced degree (MS or Ph.D.) in Computer Science, Machine Learning, or a related field.
• 5+ years of hands-on experience developing ML systems in production, ideally within real-time or interactive environments.
• Experience with multi-agent systems, orchestration, or AI tool integration.
• Strong background in one or more of the following: LLM, reinforcement learning, decision-making under uncertainty, AI planning, or multi-agent systems.
• Proficiency in at least one general-purpose programming language (e.g., Python, C++, Go, Java) and familiarity with ML frameworks (e.g., PyTorch, TensorFlow).
• Strong system design skills and the ability to architect performant, scalable ML systems.
• Excellent communication and collaboration skills; ability to work effectively with cross-functional teams including engine developers, designers, and product managers.

• Familiarity with game development workflows.
• Publications or open-source contributions in reinforcement learning, agent-based modeling, or related areas.
• Experience with behavior trees, utility AI, or hierarchical task planning.
• Passion for the gaming industry and AI applications in games.

• Relocation support is not available for this position.

Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.

This position requires the incumbent to have a sufficient knowledge of English to have professional verbal and written exchanges in this language since the performance of the duties related to this position requires frequent and regular communication with colleagues and partners located worldwide and whose common language is English.

• Perform security design reviews and conduct risk assessments for critical systems and engineering changes.
• Use threat modeling to identify, prioritize, and perform effective risk mitigation of cybersecurity threats. Develop security standards and policies to drive continuous improvement.
• Ensure infrastructure security standards are implemented and enforced throughout the organization.
• Deploy, maintain, and drive the secure system configuration according to standards and best practices and enforced throughout the organization.

• Bachelor’s degree, or foreign equivalent degree, in Computer Engineering, Electronic Engineering, Computer Science, or a related field and four (4) years of related work experience.
• Must have four (4) years of experience with/in:
• Working with cross-functional teams to build secure infrastructure using NIST controls and security framework;
• Applying knowledge of cloud computing environments, including GCP, AWS, and Azure, to enforce security policies, automate security monitoring, and assess infrastructure configurations;
• Using at least one of the following microservice technologies, Containers, Kubernetes or Hashicorp Vault, to conduct architectural reviews focusing on access and secrets management, workload isolation, and runtime security;
• Managing security features and controls using AuthN, AuthZ, PKI, Session Management, and Logging;
• Automating routine security tasks using Bash, Python, and DevOps Terraform/Ansible;
• Working with a variety of technologies, including TCP/IP Stack, Linus/Mac/Windows operating systems, DNS, Firewall, VPN, and email to protect systems and networks from security threats and maintain infrastructure integrity.

• International relocation support is not available for this position.
• Work visa/immigration sponsorship is not available for this position.
• Hours/week, Mon-Fri, 8:30 a.m. - 5:30 p.m. Salary range.
• Telecommuting permitted on a hybrid schedule as determined by the employer.

This position requires the incumbent to have a sufficient knowledge of English to have professional verbal and written exchanges in this language since the performance of the duties related to this position requires frequent and regular communication with colleagues and partners located worldwide and whose common language is English.

• Lead the design of complex, scalable Adaptive Planning solutions, ensuring data integrity and seamless information flow.
• Lead the technical solutioning for all major FP&A initiatives, from initial discovery and design through to implementation and post-production support.
• Take ownership of and provide hands-on, on-site support for urgent and business-critical production issues, ensuring swift resolution and minimal business disruption. Lead a junior engineer with day-to-day operations and issue resolution.
• Translate complex business requirements into technical specifications and model architecture, ensuring alignment with overall business strategy. Continuously identify opportunities for process improvements and tool optimization for the FP&A and other business teams.
• Serve as a subject matter expert for business stakeholders, troubleshooting process and technical issues in a timely manner, with a focus on upholding best practices.

• Extensive Adaptive experience, including hands-on experience designing, building and maintaining Adaptive Planning models with a proven portfolio of successfully architected and delivered large-scale, high-impact Adaptive Planning projects.
• Deep expertise in data modeling, system integration, and performance optimization within a sophisticated enterprise environment.
• Strong sense of ownership and accountability with the ability to operate at a high degree of autonomy in a fast-paced, dynamic setting.
• Excellent communication skills with the ability to break down complex requirements and explain complex technical designs and trade-offs to diverse audiences
• A strong desire to learn and be curious with new technologies, including opportunities with AI.

• Adaptive Planning Certification
• Background/experience in Financial Planning and Analysis
• Knowledge of LLM and proven experience with implementation of AI features in finance systems/processes

• Relocation support is not available for this position
• Work visa/immigration sponsorship is not available for this position

Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.

This position requires the incumbent to have a sufficient knowledge of English to have professional verbal and written exchanges in this language since the performance of the duties related to this position requires frequent and regular communication with colleagues and partners located worldwide and whose common language is English.

• Design, build, and evolve backend services, libraries, and frameworks that form the foundation of Unity's data platform
• Define and own APIs and developer facing tools that improve how teams ingest, process, and use data
• Lead design reviews, architectural discussions, and technical planning, ensuring the platform is reliable, extensible, and future ready
• Mentor engineers across the team, raising the bar for code quality, testing, and software craftsmanship
• Collaborate with product, ML, and data engineering teams to translate requirements into scalable platform features

• 8 or more years of software engineering experience with strong proficiency in Java and backend development
• Proven track record of designing and delivering large scale software systems or frameworks used by multiple teams
• Expertise in building and maintaining APIs, ideally with gRPC, REST, and schema technologies such as Protobuf or Avro
• Strong knowledge of distributed systems and event driven architectures
• Ability to drive cross team initiatives, align stakeholders, and make pragmatic tradeoffs that balance scale, performance, and developer experience

• Experience with streaming frameworks such as Apache Flink and Spark
• Background in building SDKs, developer platforms, or internal frameworks adopted across organizations
• Familiarity with large scale data platform challenges such as ingestion, enrichment, and schema management

• Relocation support is not available for this position
• Work visa/immigration sponsorship is not available for this position

Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.

This position requires the incumbent to have a sufficient knowledge of English to have professional verbal and written exchanges in this language since the performance of the duties related to this position requires frequent and regular communication with colleagues and partners located worldwide and whose common language is English.

• Design, implement, and maintain high-performance CTR and CVR prediction models that power ad ranking and recommendation systems.
• Build and refine systems for creative understanding and user behavior modeling, enabling more accurate and context-aware engagement predictions.
• Ensure model quality and reliability by continuously monitoring performance, calibrating predictions, and addressing data drift or delayed feedback.
• Actively participate and work with other leads to set the long term direction for the team, plan and oversee engineering designs and project execution.
• Effectively communicate complex technical concepts to non-engineering stakeholders.

• Advanced degree (MS or Ph.D.) in Computer Science, Machine Learning, Statistics, related field, or equivalent practical experience.
• 5+ years of hands-on experience building and operating large-scale Ads delivery and optimization systems.
• 3+ years of experience building CTR/CVR systems, content understanding, or behavior modeling systems.
• Significant experience in one or more general-purpose programming languages like Python, Go, Scala, C++ or similar.
• Knowledge of metric design, experimentation methodologies, and large-scale data analysis.

• Experience designing and productionizing optimization algorithms in an ad serving platform and/or other marketplaces.
• Experience with state-of-the-art control systems, reinforcement learning algorithms.

• International relocation support is not available for this position.

Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.

This position requires the incumbent to have a sufficient knowledge of English to have professional verbal and written exchanges in this language since the performance of the duties related to this position requires frequent and regular communication with colleagues and partners located worldwide and whose common language is English.

These models power our ad ranking and recommendation systems, helping advertisers reach the right users at the right time by accurately estimating engagement and conversion likelihood. By leveraging large-scale behavioral data, creative features, and contextual signals, we continuously improve the relevance and accuracy of our predictions. This drives key outcomes such as higher user engagement, stronger conversion performance, and better return on ad spend — enabling advertisers to achieve their goals while delivering a better experience for users.

• Design, implement, and maintain high-performance fraud detection models to identify and block fraudulent activities at the publisher, game, and user levels.
• Build and refine systems to analyze user behavior, transaction patterns, and contextual signals, enabling accurate and timely detection of suspicious or malicious activity.
• Ensure model quality and reliability by continuously monitoring performance, calibrating predictions, and addressing data drift or delayed feedback.
• Actively participate and work with other leads to set the long term direction for the team, plan and oversee engineering designs and project execution.
• Effectively communicate complex technical concepts to non-engineering stakeholders.

• Advanced degree (MS or Ph.D.) in Computer Science, Machine Learning, Statistics, related field, or equivalent practical experience.
• 5+ years of hands-on experience building and operating large-scale systems for detection, monitoring, or risk management in ads, payments, or related domains.
• 3+ years of experience designing and deploying fraud detection or anomaly detection models, user behavior modeling, or risk scoring systems.
• Significant experience in one or more general-purpose programming languages like Python, Go, Scala, C++ or similar.
• Knowledge of metric design, experimentation methodologies, and large-scale data analysis.

• Experience designing and productionizing optimization algorithms in an ad serving platform and/or other marketplaces.
• Experience with state-of-the-art control systems, reinforcement learning algorithms.

Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.

This position requires the incumbent to have a sufficient knowledge of English to have professional verbal and written exchanges in this language since the performance of the duties related to this position requires frequent and regular communication with colleagues and partners located worldwide and whose common language is English.

• Designing, implementing, and maintaining SDKs that collect high-quality behavioral and contextual signals from client applications such as mobile, desktop, and Unity.
• Establishing and promoting instrumentation standards to ensure high-quality data collection for machine learning systems.
• Collaborating with multi-functional teams, including ML scientists, data engineers, and product managers, to adapt SDKs to evolving ML needs.
• Developing tools and frameworks to validate, monitor, and test collected data in production environments.
• Partnering with privacy and legal teams to ensure compliance with global regulations, such as GDPR and CCPA, while prioritizing user consent.

• Strong proficiency in client application platforms like iOS, Android, Unity, or C++.
• Proven track record in event-based data collection, telemetry, and analytics frameworks.
• Experience in data preprocessing and quality assurance for machine learning pipelines.
• Familiarity with experimentation frameworks, including A/B testing and signal gating.
• Ability to work effectively in multi-functional teams and lead initiatives across SDK, infrastructure, and ML platform teams.

• Relocation support is not available for this position.

This position requires the incumbent to have a sufficient knowledge of English to have professional verbal and written exchanges in this language since the performance of the duties related to this position requires frequent and regular communication with colleagues and partners located worldwide and whose common language is English.