Senior ML Platform Engineer at Paramount Skydance

Job description

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! Job Title: Sr. ML Platform Engineer Department : Data & Insight Group Location: New York City, Los Angeles, San Francisco 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 • Experience developing containerized applications • 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 developing APIs • Experience working at Web scale • Experience using Google Cloud Platform (BigQuery, ML Engine, and APIs). #LI-TG1 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 . • 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, 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.

Requirements

Must-haves

Storytelling is, and will always be, the heart of what we do at Skydance.
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!
Job Title: Sr. ML Platform Engineer
Department : Data & Insight Group
Location: New York City, Los Angeles, San Francisco
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.
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
Experience developing containerized applications
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

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gomlaillmci/cdsqldockerkubernetes

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Effort: medium

Benefits

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Dental

Vision

401(K)

Pto

Paid Time Off