Senior Machine Learning/mlops Engineer jobs at Unity in United States, San Francisco

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.

• Guide the architecture and low level design of distributed systems to ensure scalability, reliability, and efficiency
• Own and operate infrastructure services with the engineering teams, including on call responsibilities and deep debugging of complex issues
• Drive operational excellence through improved observability, resiliency, and automation
• Mentor engineers and raise the technical bar through design reviews, code reviews, and engineering best practices
• Advise leadership on platform direction, long term investment, and adoption of emerging infrastructure technologies

• 7 or more years of experience building and operating large scale distributed systems in production
• Programming experience for backend service and infrastructure development
• Hands on experience with Kubernetes and cloud native systems in GCP, AWS, or Azure
• Expertise in distributed infrastructure including traffic management, load balancing, networking, and large scale data processing.
• Deep understanding of networking, observability, and debugging distributed systems end to end

• Deep expertise in distributed caching or storage systems used to support large scale, low latency workloads
• Expertise in protocols, routing, and service discovery in large scale environments
• Domain knowledge of online advertising and adtech systems is a plus

• 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.

As part of the team, you will work on distributed systems that handle real-time ad requests, impression tracking, and user data analytics with strict requirements for uptime and security. You'll play a critical role in optimizing performance, maintaining service availability, and supporting the development of new monetization features for game developers worldwide. Security, data privacy, and a positive user experience are central to everything we build.

• Design, build, and modernise backend services and APIs that support ad delivery
• Work on scalable, high-availability systems used across Unity’s ads ecosystem
• Collaborate with engineers, product managers, and data teams to deliver new features
• Improve performance, observability, and cost-efficiency of current backend systems, modernising the legacy stack
• Contribute to architectural decisions and technical direction of the platform

• Experience building backend services at scale
• Proficiency in Golang, and relational databases (e.g., MySQL)
• Familiarity with cloud infrastructure and observability tools (Kubernetes, Ray, etc.)
• Understanding of API design, distributed systems, and system reliability
• Strong collaboration and communication skills in a remote-first team environment

• Experience in ad tech, programmatic advertising, or real-time bidding systems
• Background with infrastructure-as-code (e.g., Terraform)
• Familiarity with networking, caching, or real-time data pipelines

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

We offer a wide range of benefits designed to support employees' well-being and work-life balance. You can read more about them on our .

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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.

• Design, build, and maintain backend services and APIs that support ad delivery
• Work on scalable, high-availability systems used across Unity’s ads ecosystem
• Collaborate with engineers, product managers, and data teams to deliver new features
• Improve performance, observability, and cost-efficiency of backend systems
• Contribute to architectural decisions and technical direction of the platform

• Experience building backend services at scale
• Proficiency in Golang,and Google Cloud
• Familiarity with cloud infrastructure and observability tools (Kubernetes, Ray, etc.)
• Understanding of API design, distributed systems, and system reliability

• Experience in ad tech, programmatic advertising, or real-time bidding systems
• Background with infrastructure-as-code (e.g., Terraform)
• Familiarity with networking, caching, or real-time data pipelines

• 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.

• 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.

• Lead and mentor infrastructure engineers building and operating large-scale distributed systems
• Contribute directly to code, design, and incident resolution while guiding technical direction
• Drive the Ads Infrastructure roadmap focused on scalability, reliability, and efficiency
• Define and automate standards for observability, on-call, and operational excellence
• Foster a culture of technical ownership, collaboration, and continuous improveme

• 10 or more years of experience in software engineering with at least 3 years managing teams building distributed systems
• Proven track record of leading teams operating infrastructure at scale in production
• Technical depth in cloud native systems, ideally Kubernetes and large scale service infrastructure
• Strong leadership skills with the ability to set vision, align stakeholders, and deliver through others
• Excellent communication skills and experience working across cross functional organizations

• Experience leading infrastructure teams in online advertising or large scale data driven businesses
• Background in traffic management, load balancing, or distributed caching and storage systems
• Passion for mentoring engineering leaders and building high performing global teams

• 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.