Role Description Unity is looking for a Senior Machine Learning Infrastructure Engineer to join our Vector Ads team, where we build the real-time systems that power Unity's global advertising platform. This is a high-scale, low-latency environment — processing billions of requests daily to deliver fast, relevant ads to players around the world. You'll build and operate the infrastructure that brings ML models from training into production, ensuring our ranking, bidding, and targeting systems run reliably at scale. This is a great opportunity for an engineer who's excited to work at the intersection of ML systems and distributed infrastructure, collaborate across teams, and have direct impact on how machine learning shapes the player and advertiser experience. What you'll be doing - Design, build, and maintain the infrastructure that serves ML models in real-time across Unity's ads ecosystem - Build and operate scalable model serving pipelines — owning latency, throughput, and reliability in a high-QPS production environment - Partner with ML engineers to productionize models, manage model deployments, and improve iteration speed - Improve observability, performance, and cost-efficiency of ML serving infrastructure - Contribute to architectural decisions around feature serving, model versioning, and inference optimization Qualifications - Experience building and operating ML infrastructure or model serving systems in production - Proficiency in Golang or Python, with strong systems engineering fundamentals - Hands-on experience with Kubernetes and container orchestration at scale - Familiarity with ML serving frameworks such as Ray Serve, Triton, TorchServe, or similar - Understanding of distributed systems, API design, and system reliability - Strong collaboration and communication skills in a remote-first environment Requirements - Experience with feature stores, feature pipelines, or online/offline feature serving - Background in ad tech, real-time bidding, or programmatic advertising systems - Familiarity with infrastructure-as-code such as Terraform - Experience with observability tooling — Prometheus, Grafana, OpenTelemetry - Background with real-time data pipelines, caching layers, or low-latency serving systems Benefits - 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

Role Description Camgian is looking to expand its development organization with the addition of a Senior Signal Processing Engineer to develop innovative technologies for our products. We are focused on applying state-of-the-art computational technologies, Artificial Intelligence, Machine Learning, Deep Learning, and Computer Vision to advance decision support products in the government and commercial markets. This is a hands-on technical position that involves the architecture, design and development of signal processing algorithms. - The candidate must demonstrate strong programming, physics, and mathematical skills and be able to solve complex problems. - Strong leadership and communication skills with the ability to lead small to mid-sized technical teams are required. Qualifications - Bachelor’s degree in Computer Engineering, Electrical Engineering, or Computer Science - Proficient in C/C++, Python - Proficient in scientific computing tools such as NumPy, SciPy, Pandas, Matplotlib, Scikit-learn, MATLAB - Strong background in sensor and image signal processing techniques - Experience in detection, classification, angle of arrival, and tracking algorithms - Experience with sensor fusion, state estimation, random signals, feature extraction, and linear algebra - Experience in designing, implementing, and optimizing signal processing algorithms for a product - 10+ years of experience in signal processing algorithm development - United States Citizenship Requirements - Strong analytical skills and experience in areas of adaptive filter theory, spectral estimation, detection and estimation theory, linear algebra and/or stochastic processes - Experience solving complex signal processing, detection, estimation and tracking related problems - Experience with radar and acoustic sensor theory, and motion-based detection techniques - Familiarity with machine learning and deep learning concepts Responsibilities - Architect system level design solutions with customer requirements, schedule, and budget in mind - Breakdown large problems into a sequence of tasks for execution with the appropriate level of effort, key milestones, deliverables, and risks - Document architecture, design, test plan, results, and analysis - Prepare and conduct technical presentations to effectively communicate ideas, issues, and solutions to diverse groups in the company including Engineers, Product & Business Development, CTO, CEO - Lead small to mid-sized technical teams to develop algorithms for deployment in products - Serve as a strong mentor to junior engineers to develop their skills and confidence - Contribute to continuous process and productivity improvements in the team - Exceptional work ethic, willingness to learn, tenacity not to quit, aptitude to surpass, and strong desire to work in a fast-paced environment are necessary for success. - Collaboration and cross pollination with other teams will be frequent; thus communication, openness, and willingness to share both success and failure is a must. - We are a team-centric organization, there are no individuals, we win and lose together. Benefits - Competitive salary - Fun work environment - Fringe benefits - Equity opportunity Company Description - Ability to work as part of a team while maintaining independent thinking - Self-driven and self-starter in addition to excellent communication skills - Thinking outside the box and an aptitude for innovation and problem solving - Always willing to explore the other side of fear, be challenged and to crave cutting edge technologies

• Review and refine AI-generated outputs related to machine learning operations, deployment pipelines, monitoring, and practical aspects of MLOps • Evaluate AI responses for technical accuracy, operational reliability, and compliance with real-world requirements • Draft realistic MLOps scenarios based on your direct professional experience • Create scenario variations from different perspectives (e.g. MLOps engineer, data scientist, developer, or product owner) • Identify gaps, oversights, or weak reasoning in AI-generated MLOps content

• Review and refine AI-generated outputs related to machine learning operations, deployment pipelines, monitoring, and practical aspects of MLOps • Evaluate AI responses for technical accuracy, operational reliability, and compliance with real-world requirements • Draft realistic MLOps scenarios based on your direct professional experience • Create scenario variations from different perspectives (e.g. MLOps engineer, data scientist, developer, or product owner) • Identify gaps, oversights, or weak reasoning in AI-generated MLOps content