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Senior Machine Learning Operations Engineer

New York, NY, US, 10036

Pay
$139,200–219,240/yearAnnual period assumed · Location-specific pay — pay source
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.
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Work setup
Unconfirmed
Employment
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What you’ll work on

Full posting
  • 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.

From the employer’s posting
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.
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.

What you’ll bring

All qualifications

Core experience

  • 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
  • Experience operating recommendation or personalization systems at scale
Qualification wording
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
Experience operating recommendation or personalization systems at scale

Tools in this posting

  • SQL
Source — Tool mentions in context
- 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

Benefits in the posting

Full benefits wording
  • Generous paid time off.

From the employer’s posting.

Job description

View original posting ↗

#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 power to 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

 

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: https://www.paramount.com/careers/benefits
  • 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: https://www.paramount.com/careers/life-at-paramount

 

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, 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.

 

If 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 paramountaccommodations@paramount.com. Only messages left for this purpose will be returned.

 

Your next step

  • Have your CV and examples of relevant work ready.
  • Check the listed location, eligibility and core experience before starting.

Complete your application on careers.paramount.com. The employer’s form will show what is required.

Already applied? Track this application

Source & posting history

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Pay
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.
Location & working pattern

New York, NY, US, 10036

- 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.
Work authorization
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, 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. If 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 paramountaccommodations@paramount.com. Only messages left for this purpose will be returned.
Status in our records
Active
First seen by us
May 2, 2026
Recorded sightings
599
Last seen by us
Oct 9, 2026

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