Senior ML Platform Engineer

Paramount Pictures; Burbank (CA); On-site; USD 130,200 - 195,300; Full time

Benefits offered by this job

Medical benefits

Dental benefits

Vision benefits

401(k) plan

PTO

Job summary

Paramount Pictures is seeking a Sr. ML Platform Engineer who will deploy MLOps products shaping content strategy, optimize marketing investments, and enhance the user experience.

You will build the foundations of an ML platform enabling the Data Science team to deploy models at web scale for millions of customers worldwide. You will design and implement Paramount’s model deployment platform, monitor deployments, and develop UIs and AI agents that let stakeholders interact with DS models.

Qualifications

• 5+ years experience in Data Science and ML Engineering.
• Deep experience developing as a team using OOP, Docker, & Kubernetes.
• Deep experience designing and implementing MLOps platforms and multi-agent systems in a cloud environment.
• Deep experience implementing CI/CD workflows that manage model deployments.
• Ability to innovate without over-engineering.
• Familiarity with well-known statistical and ML models and methods.
• Strong detail orientation with a penchant for deployment reliability.
• Must successfully pass a background check.

Responsibilities

• Design and implement our greenfield ML platform and suite of analytical AI agents, 10Xing the Data Science team’s impact.
• Work closely with Data Scientists to understand their development needs
• Work closely with Stakeholders to understand the business problems driving model deployments, translating complex models into self-serve, LLM-callable tools that augment stakeholder workflows.
• Assess and integrate cutting-edge software and practices in Data Science and MLOps.
• Refactor disjointed data science scripts and workflows into modular 'skills' that act as procedural knowledge for AI agents, streamlining stakeholder interactions.
• Manage deployment and contribute to models driving Paramount+’s global, financial forecasts
• Design and implement Paramount’s model deployment platform
• Design and implement robust monitoring, logging, alerting, and observability of ML deployments
• Design and implement UIs and natural-language AI agents that enable a variety of stakeholders to intuitively interact with DS models.
• Drive adoption of best practices for CI/CD workflows tailored to Data Science & Agentic Workflows
• Drive adoption of agentic workflows (e.g., automated SQL generation, variance diagnostics, model post-mortems) across Data Science and the larger Paramount organization.

Skills

OOP

Docker

Kubernetes

CI/CD

MLOps

Data Science

ML Engineering

Tools

BigQuery

Google Cloud Platform

ML Engine

Job description

#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 thepowerto 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.

Burbank, CA, US, 91505 New York, NY, US, 10036

Research

Burbank

Full-Time

On-Site

We are seeking a Sr. ML Platform Engineer who is excited to deploy MLOps products that shape business strategy, optimize content, inform marketing investment decisions, and enhance the user experience. You will build the foundations of our ML platform that will enable the Data Science team to deploy models at web scale data driving interactions with millions of customers across the globe. Specific projects will include designing the ML Ops platform and Agentic AI layer that will enable the Data Science team to scale their model deployments and automate analytical workflows. Success in this role requires a strong foundation in Object-Oriented Programming (OOP), comfort writing production-quality code in a collaborative environment, effective communication with Data Science team and stakeholders, and a team player who is excited to design and develop the MLOps deployment that will enable the team to multiply their impact.

Your Day-to-Day:

Design and implement our greenfield ML platform and suite of analytical AI agents, 10Xing the Data Science team’s impact.

Work closely with Data Scientists to understand their development needs

Work closely with Stakeholders to understand the business problems driving model deployments, translating complex models into self-serve, LLM-callable tools that augment stakeholder workflows.

Assess and integrate cutting-edge software and practices in Data Science and MLOps.

Refactor disjointed data science scripts and workflows into modular 'skills' that act as procedural knowledge for AI agents, streamlining stakeholder interactions.

Key Projects:

Manage deployment and contribute to models driving Paramount+’s global, financial forecasts

Design and implement Paramount’s model deployment platform

Design and implement robust monitoring, logging, alerting, and observability of ML deployments

Design and implement UIs and natural-language AI agents that enable a variety of stakeholders to intuitively interact with DS models.

Drive adoption of best practices for CI/CD workflows tailored to Data Science & Agentic Workflows

Drive adoption of agentic workflows (e.g., automated SQL generation, variance diagnostics, model post-mortems) across Data Science and the larger Paramount organization.

Qualifications:

You Have:

5+ years experience in Data Science and ML Engineering.

Deep experience developing as a team using Object-Oriented Programming (OOP), Docker, & Kubernetes

Deep experience designing and implementing MLOps platforms and multi-agent systems in a cloud environment.

Deep experience implementing CI/CD workflows that manage model deployments

Ability to innovate without over-engineering

Familiarity with well-known statistical and ML models and methods

Strong detail orientation with a penchant for deployment reliability

Must successfully pass a background check

You might also have:

Experience integrating LLMs into existing business processes and creating tools using the Model Context Protocol (MCP).

Experience working at Web scale

Experience using Google Cloud Platform (BigQuery, ML Engine, and APIs).

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: $130,200.00 - 195,300.00.

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

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 https://www.paramount.com/careers as a result of your disability. You can request reasonable accommodations by calling 212.846.5500 or by sending an email to [e-mail]. Only messages left for this purpose will be returned.