Senior Machine Learning Operations Engineer

Select how often (in days) to receive an alert: Senior Machine Learning Operations Engineer 45532 New York, NY, US, 10036 Technology New York Full‑Time Fully Remote #WeAreParamount on a mission to unleash the power of content… you in? We’ve got the brands, we’ve got the stars, we’ve got the powerto achieve our mission to entertain the planet – now all we’re missing is… YOU! Becoming a part of Paramount means joining a team of passionate people who not only recognize the power of content but also enjoy a touch of fun and uniqueness. Together, we co‑create moments that matter – both for our audiences and our employees – and aim to leave a positive mark on culture. 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. Additional Information Hiring Salary Range: $139,000.00 – $175,000.00. 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. 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. What We Offer Attractive compensation and comprehensive benefits packages. Check out our full list of benefits here: Generous paid time off. An exciting and fulfilling opportunity to be part of one of Paramount’s most dynamic teams. Opportunities for both on‑site and virtual engagement events. Unique opportunities to make meaningful connections and build a vibrant community, both inside and outside the workplace. Explore life at Paramount: Paramount is an equal opportunity employer (EOE) including disability/vet. At Paramount, the spirit of inclusion feeds into everything that we do, on‑screen and off. From the programming and movies we create to employee benefits/programs and social impact outreach initiatives, we believe that opportunity, access, resources and rewards should be available to and for the benefit of all. Paramount is proud to be an equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ethnicity, ancestry, religion, creed, sex, national origin, sexual orientation, age, citizenship status, marital status, disability, gender identity, gender expression, and Veteran status. If you are a qualified individual with a disability or a disabled veteran, you may request a reasonable accommodation if you are unable or limited in your ability to use or access as a result of your disability. You can request reasonable accommodations by calling View phone number on click.appcast.io or by sending an email to View email address on click.appcast.io. 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