# Senior Machine Learning Operations Engineer Source: https://realanalystjobs.com/job/senior-machine-learning-operations-engineer-paramount-0925707a Senior Machine Learning Operations Engineer at Paramount, an on-site role based in New York, New York, USA. Experience level: 5+ Years. Pay stated in the posting: $139,200.00 to 219,240.00. Posted on 22 October 2026, read from Paramount's own careers page (SuccessFactors), which RealAnalystJobs re-checks daily and removes the role when it closes. Updated 15 November 2026. ## Key facts - Company: [Paramount](https://realanalystjobs.com/companies/paramount) - Location: New York, New York, USA - Work mode: On-site - Pay stated in the posting: $139,200.00 to 219,240.00 - Posted: Oct 22, 2026 - Employment type: Full time - Experience level: 5+ Years - Source: Paramount's careers page (SuccessFactors), re-checked daily Skills: [SQL](https://realanalystjobs.com/skills/sql) ## About this role Storytelling is, and will always be, the heart of what we do at Skydance. Our 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. Here, 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. If 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! Overview We're hiring a Senior Machine Learning Operations Engineer to own the operational layer around our personalization and recommendation Machine Learning (ML) systems. Our models retrain and deploy daily on automated pipelines. Your job is to make sure we can trust what's running, know when something is off, and fix it fast. You'll sit within DevOps and work closely with ML engineers, who own the models end-to-end. You won't be building infrastructure from scratch, you'll partner with DevOps and Platform Engineering to get the tooling you need, then own it day-to-day. What You'll Do • Own model traceability: Every model in production should have clear lineage: what data trained it, what code produced it, what validation it passed, and how it's performing. Evaluate and recommend tooling for versioning, metadata, and model registry, and work with MLEs to drive adoption. • Build end-to-end monitoring: Monitor the full signal path: data arrival, feature distribution stability, model metrics, and serving latency against SLA. Own this individually, don't rely solely on upstream teams to catch their own issues. • Partner with Data Engineering on data quality: Collaborate to surface data quality issues, detect drift in upstream sources, and ensure features stay fresh and reliable. • Detect issues proactively: Track drift over weeks, flag slow degradation before it crosses a threshold, surface feature freshness problems before they cascade. • Build diagnostic tooling: When something goes wrong, get from "recommendations look off" to root cause in minutes. That means ensuring the right context is logged at each stage, candidates, features, serving context, and building the dashboards to tie it collectively. • Own incident response for ML systems: Maintain rollback playbooks and pre-defined hotfix strategies with quantified tradeoffs. Own automated gates that block bad deployments. Run post-mortems and close the gaps. • Coordinate on post-deployment metrics: Work with ML engineers, data engineers, and stakeholders to define what metrics to collect after deployment and why they matter. Basic Qualifications • 5+ years in ML engineering, applied ML, or a related ML role, with demonstrated experience on the operational side of monitoring, reliability, deployment, or incident response • Has built or operated model registries, ML monitoring systems, or production ML pipelines • Understands ML systems end-to-end - not just the infra layer, but why a stale feature or a shifted distribution matters • Robust SQL skills and comfort digging into data distributions, feature health, and model behavior • Comfortable partnering with DevOps and Platform teams to define infrastructure needs without needing to own the infra yourself Additional Qualifications • Experience operating recommendation or personalization systems at scale Paramount 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®. ADDITIONAL INFORMATION Hiring Salary Range: $139,200.00 - 219,240.00. The 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. This position is bonus eligible. What We Offer : • Attractive compensation and comprehensive benefits packages. Check out our full list of benefits here . • Generous paid time off. • Complimentary subscriptions to HBO Max, Paramount+, and other Skydance streaming services and digital news products. • Robust employee engagement opportunities, including access to exclusive screenings and events, speaker series, volunteer activities and more. Skydance is an equal opportunity employer (EOE) We 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, nationa Description from Paramount's public careers feed, reproduced so you can read the role here. Apply on the company's own site; Real Analyst Jobs never submits anything for you. ## How to apply Open [this role on Real Analyst Jobs](https://realanalystjobs.com/job/senior-machine-learning-operations-engineer-paramount-0925707a) and use Apply now there to reach the employer's application. The listing is re-checked against Paramount's careers page daily and removed when it closes. ## Paramount 14 open analyst roles on Real Analyst Jobs. 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