Senior Backend Engineer, ML Inference Systems

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Requisition ID: JOBREQ-2616050

Senior Backend Engineer, ML Inference Systems

Mountain View, CA, USA, Full-time

• Unity Careers
• Positions
• Description

ALERT: Unity has received reports of scams where individuals purporting to be Unity HR representatives conduct bogus employment interviews via email or text, and then request payment as a condition for receiving an offer of employment. Please be aware that Unity does not conduct interviews by email or text, and will never request payment as a condition for applying for a position or receiving an offer of employment. These scam operators may also ask for your personal information (name, address, birthdate, social security number, etc.) which you should not provide to them. If you have been a target of such a scam, you should report it by contacting the U.S. Federal Trade Commission (see this FTC posting for further details) the office of your state Attorney General, or the government agency responsible for investigating matters such as this where you reside this FTC posting for further details) the office of your state Attorney General, or the government agency responsible for investigating matters such as this where you reside.nn

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• The opportunity
• What you'll be doing
• What we're looking for
• You might also have
• Additional information
• Benefits
• Life at Unity
• Apply

The opportunity

Every day, we connect billions of players with the games and experiences they love.n

Our Vector Gamer AI team sits at the heart of that mission, governing ad ranking and bidding decisions across billions of daily impressions, where large-scale machine learning and real-world impact converge at scale.

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We''re hiring a Senior Backend Engineer to build and operate the infrastructure those models depend on. You''ll design and operate the distributed systems that power billions of daily decisions, with a focus on the performance, reliability, and scalability of inference systems.

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Join us and help influence how billions of gaming experiences are discovered, monetized, and how creators are rewarded.

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What you''ll be doing

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• Design, develop, and deploy production-grade backend services and distributed systems powering large-scale online model inference at billions of daily requests n
• Drive technical direction of our inference platform, with a focus on low-latency, high-throughput serving infrastructure n
• Partner with ML engineers to ensure online serving infrastructure scales with growing model complexity and inference volumes, without compromising latency or throughput n
• Ensure the reliability, scalability, and efficiency of our systems in production using monitoring and observability tools like Prometheus and Grafana n
• Manage and optimize cloud infrastructure on GCP, orchestrating workloads with Kubernetes across a high-scale production environment n
• Promote and implement best practices for backend service development, testing, deployment, and monitoring (DevOps, SRE) n

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What we''re looking for

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• Experience designing, deploying, and maintaining distributed systems at scale n
• Expertise in Golang for building high-performance, low-latency backend infrastructure n
• Hands-on experience with cloud infrastructure on GCP and workload orchestration with Kubernetes n
• Strong grounding in monitoring and observability tooling, including Prometheus and Grafana n
• Experience in ad tech, recommender systems, real-time personalization, or other performance-critical domains n
• Familiarity with microservice architectures, containerization (Docker), and CI/CD best practices n
• Familiarity with machine learning platforms, workflows, and serving infrastructure n

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You might also have

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• Experience with ML inference servers like NVIDIA Triton Inference Server n
• Familiarity with auction mechanics or bidding systems in an ad tech context n
• Experience embracing AI as a strategic advantage in engineering, following established best practices for code quality and security n

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Additional information

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• Relocation support is not available for this position n

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Benefits

At Unity, we want our team members to thrive. We offer a wide range of benefits designed to support well-being and work-life balance.n

Please note: Benefits eligibility, specific offerings, and coverage vary based on the country and employment status.

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While specific benefits vary, here are some of the ways we strive to take care of our eligible team members globally: Comprehensive health, life, and disability insurance | Commute subsidy | Employee stock ownership | Competitive retirement/pension plans | Generous vacation and personal days | Support for new parents through leave and family-care programs | Office food snacks | Mental Health and Wellbeing programs and support | Employee Resource Groups | Global Employee Assistance Program | Training and development programs | Volunteering and donation matching program

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Life at Unity

Unity [NYSE: U] is the worldxe2x80x99s leading game engine, powering play for more than 3 billion consumers each month. The top mobile games in the world, the most played PC indie titles, the most innovative console games, and virtually all of the top XR and Web Games are developed, deployed, and grown in Unity. Unity also enables teams across industries like automotive, manufacturing, and healthcare to design, simulate, and collaborate in 3D xe2x80x94 closing the gap between ideas and reality. For more information, please visit www.unity.com.n

Unity is a proud equal opportunity employer. We are committed to fostering an inclusive, innovative environment and celebrate our employees across age, race, color, ancestry, national origin, religion, disability, sex, gender identity or expression, sexual orientation, or any other protected status in accordance with applicable law. Our differences are strengths that enable us to support the growing and evolving needs of our customers, partners, and collaborators. If you have a disability that means there are preparations or accommodations we can make to help ensure you have a comfortable and positive interview experience, please fill out this form to let us know.

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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.

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Headhunters and recruitment agencies may not submit resumes/CVs through this website or directly to managers. Unity does not accept unsolicited headhunter and agency resumes. Unity will not pay fees to any third-party agency or company that does not have a signed agreement with Unity.

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Your privacy is important to us. Please take a moment to review our Prospect Privacy Policy and Applicant Privacy Policy. Should you have any concerns about your privacy, please contact us at DPO@unity.com.

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#SEN #LI-AR1

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• Note: Certain locations require a good faith disclosure of the base salary range for the role. The actual salary for the successful candidate may differ based on location, experience, and other job-related factors.

nGross pay salary$135,800xe2x80x94$237,050 USD

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Location: Mountain View, CA, USADepartment: AI & Machine LearningType: Full-timeRequisition ID: JOBREQ-2616050

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