{"id":4243580,"url":"https://alion.io/job/paramount-ai-engineering-technical-lead","title":"AI Engineering Technical Lead","company":{"id":6984,"name":"Paramount","domain":"paramount.com","url":"https://alion.io/company/paramount","size_band":"501-1000","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"SuccessFactors","truth_index":null},"role":"Backend","role_family":"Backend","seniority":"lead","employment_type":null,"work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Burbank, United States"],"countries":["US"],"hiring_countries":[],"hiring_countries_total":0,"salary":{"min":156800,"max":235200,"currency":"USD","period":"year","gross":null,"usd_annual":235200},"salary_estimate":null,"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Apache Kafka","optional":false},{"name":"CI/CD","optional":false},{"name":"Feature Store","optional":false},{"name":"GCP","optional":false},{"name":"Java","optional":false},{"name":"Kubernetes","optional":false},{"name":"Machine Learning","optional":false},{"name":"NLP","optional":false},{"name":"Python","optional":false},{"name":"PyTorch","optional":false},{"name":"Recommender Systems","optional":false},{"name":"TensorFlow","optional":false},{"name":"A/B Testing","optional":true}],"status":"live","first_seen_at":"2026-11-10T08:00:00Z","employer_posted_date":"2026-11-10","last_verified_at":"2026-11-14T16:09:34Z","board_verified":true,"closed_at":null,"days_open":4,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":4},"description":"Storytelling is, and will always be, the heart of what we do at Skydance.\nOur vision is to build a thriving entertainment ecosystem where stories and worlds are imagined, brought to life and experienced. We create for every age and audience, anchored by the strength of our content and experiences and the depth of our connection with fans. We are creator-first, audience-focused, tech-forward, globally scaled.\nHere, you’ll work with talented teams that move fast, think boldly and collaborate with purpose to deliver results. We aim high, champion the best ideas and win together, earning the trust of our employees, creators, partners and audiences every day.\nIf you’re energized by the opportunity to help build the next-generation global media and entertainment company powered by creativity and technology, we’d be thrilled to welcome you aboard. LET’S GO!\nAI Engineering Technical Lead\nThe Applied Intelligence Data Engineering team is seeking an AI Engineering Technical Lead\nto drive the design, development, and productionization of AI-powered data products acrossParamount streaming platforms.\nThis role will lead the development of intelligent systems that leverage real-time and batch data\nto power personalization, recommendations, content discovery, and advanced analytics. You will\nwork at the intersection of data engineering, machine learning, and software engineering,\nbuilding scalable AI systems that integrate tightly with our real-time data ingestion platform.\nAs a technical leader, you will define architecture, guide implementation, mentor engineers, and\nensure production-grade performance, scalability, and reliability of AI-driven systems.\nKey Responsibilities\nLead AI System Design & Development\nDevelop real-time and batch inference pipelines integrated with streaming data\nplatforms.\nDesign feature engineering pipelines leveraging high-volume behavioral and content\nmetadata.\nImplement end-to-end ML workflows from data ingestion to model serving.\nBuild AI-Powered Data Products\nDevelop production-grade AI services that power user-facing and internal data products.\nDesign APIs and services to expose AI capabilities to downstream applications and platforms.\nEnsure tight integration between AI systems and the core data platform.\nArchitect Scalable ML Infrastructure\nDefine architecture for model training, evaluation, deployment, and monitoring.\nBuild and optimize feature stores, model registries, and inference services.\nDesign systems that support low-latency, high-throughput model serving.\nEstablish best practices for reproducibility, versioning, and lifecycle management.\nProduction Reliability & Model Performance\nMonitor and optimize model performance, latency, and system reliability in production.\nImplement observability for data quality, feature drift, and model degradation.\nEstablish automated testing, validation, and deployment pipelines for ML systems.\nEnsure scalability and cost efficiency across AI workloads.\nCross-Functional Collaboration\nPartner with Data Engineers to integrate AI pipelines with real-time and batch data systems.\nCollaborate with Product Managers to define AI-driven product capabilities and roadmap.\nWork with Software Engineers to integrate AI services into user-facing applications.\nAlign with analytics and experimentation teams to measure model impact.\nTechnical Leadership\nLead architectural decisions for AI/ML systems and data-driven applications.\nMentor engineers in machine learning engineering, system design, and best practices.\nEstablish standards for model development, deployment, and operational excellence.\nDrive innovation in applied AI across streaming and content platforms.\nRequired Technical Skills\nMachine Learning & AI Systems\nStrong experience building and deploying machine learning models in production.\nExpertise in recommendation systems, personalization, ranking models, or NLP.\nExperience with model training frameworks (e.g., TensorFlow, PyTorch, or similar).\nUnderstanding of feature engineering, model evaluation, and experimentation frameworks.\nData & Feature Engineering\nExperience designing large-scale feature pipelines using batch and streaming data.\nStrong knowledge of data modeling and transformation for ML use cases.\nFamiliarity with feature stores and real-time feature serving architectures.\nStreaming & Real-Time Systems\nExperience integrating ML systems with real-time data platforms (e.g., Kafka, Pub/Sub).\nUnderstanding of event-driven architectures and low-latency processing patterns.\nAbility to design real-time inference and decisioning systems.\nCloud & Distributed Systems\nStrong experience with cloud-native architectures (GCP preferred).\nExperience deploying ML systems in Kubernetes-based environments.\nUnderstanding of distributed systems, scalability, and fault tolerance.\nSoftware Engineering & APIs\nProficiency in Python, Java, or similar languages for production systems.\nExperience building microservices and APIs for model serving.\nStrong software engineering fundamentals, including testing, CI/CD, and observability.\nBasic Qualifications\nStrong foundation in machine learning engineering, data systems, and distributed\narchitecture.\nProven track record of building and scaling AI/ML systems in production environments.\nExperience working with real-time data platforms and high-scale user-facing systems.\nAbility to balance long-term architecture with rapid product delivery.\nExcellent leadership, problem-solving, and cross-functional collaboration skills.\nSelf-motivated, quality-driven, and focused on delivering measurable impact through AI.\nPreferred Qualifications\nExperience in streaming, media, or consumer-facing platforms.\nFamiliarity with experimentation platforms (A/B testing) and metrics-driven optimization.\nExperience building AI-powered data products and platform capabilities\nParamount Streaming, a division within Paramount Global, is the home to the company's direct-to-consumer services spanning free and paid in the form of Pluto TV and Paramount+. Pluto TV is the global leader in free ad-supported TV, delivering more than 1,400 global channels and an extensive library of streaming content, including live and original channels. Paramount+, digital subscription video-on-demand and live streaming service, combines live sports, breaking news, and A Mountain of Entertainment™. Paramount+ features an expansive library of original series, hit shows and popular movies across every genre from world-renowned brands and production studios, including SHOWTIME®.\nADDITIONAL INFORMATION\nHiring Salary Range: $156,800.00 - 235,200.00.\nThe hiring salary range for this position applies to New York, California, Colorado, Washington state, and most other geographies. Starting pay for the successful applicant depends on a variety of job-related factors, including but not limited to geographic location, market demands, experience, training, and education. The benefits available for this position include medical, dental, vision, 401(k) plan, life insurance coverage, disability benefits, tuition assistance program and PTO or, if applicable, as otherwise dictated by the appropriate Collective Bargaining Agreement.\nWhat We Offer:\nAttractive compensation and comprehensive benefits packages. Check out our full list of benefits here.\nGenerous paid time off.\nComplimentary subscriptions to HBO Max, Paramount+, and other Skydance streaming services and digital news products.\nRobust employee engagement opportunities, including access to exclusive screenings and events, speaker series, volunteer activities and more.\nSkydance is an equal opportunity employer (EOE)\nWe embrace the opportunity to build a workforce that reflects a wide array of perspectives, backgrounds and experiences. Being an equal opportunity employer means that we take seriously our responsibility to consider qualified candidates on the basis of merit. In line with the laws of the country or region in which the role is based, this includes consideration without regard to race, color, ethnicity, national origin, citizenship status, religion or belief, sex, gender, gender identity or expression, sexual orientation, age, marital status, pregnancy, parenthood, physical or mental disability, genetic information, military or protected veteran status, union status or any other category protected by applicable law.\nIf you are a qualified individual with a disability, you may request a reasonable accommodation during the job application and/or recruitment process. You can request reasonable accommodations by calling 212.846.5500 or by sending an email to . 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