Studio Domain ML Engineer

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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.

SUMMARY

The Studio Domain ML Engineer is a domain-experienced technical practitioner who contributes directly
to the development of new applied machine learning technologies within a Production Platform
Engineering pod. This role combines deep expertise in studio workflows with hands-on technical
development, evaluation design, data preparation, model behavior validation, and production integration.

Working alongside Applied ML Engineers, ML Behavior Systems, and Platform Integration teams, the
Studio Domain ML Engineer helps shape emerging ML capabilities from early concept through production
readiness. The role ensures that new ML technologies are grounded in real production workflows,
informed by domain-specific quality standards, and validated against the practical constraints of film,
television, animation, VFX, and related studio environments.

This role contributes to the creation of production-relevant ML systems by translating complex studio
workflows into structured requirements, representative datasets, evaluation criteria, edge-case scenarios,
and testable system behaviors. The Studio Domain ML Engineer helps define what “good” means for
professional production use, while also contributing technical artifacts such as validation scripts, data
workflows, integration utilities, and evaluation assets that accelerate ML system development.

By bridging advanced ML development with real-world studio practice, this role helps ensure that new
technologies are not merely functional in isolation, but usable, reliable, and ready for adoption in
demanding production environments.

KEY RESPONSIBILITIES

Domain-Grounded System Development
• Ensure systems align with real-world production workflows, tools, and operational constraints.
• Define domain-specific acceptance criteria and quality standards for outputs.
• Identify workflow mismatches early and guide teams toward solutions that fit existing production
  environments.

Workflow Validation & Usability
• Validate prototypes and systems within realistic production scenarios, including edge cases and
  constraints.
• Provide actionable feedback on usability, quality, and workflow integration.
• Ensure outputs align with established domain standards, including formats, conventions, and
  downstream requirements.

Applied Technical Contribution
• Contribute directly to the development of new applied ML capabilities through validation scripts,
  data preparation workflows, evaluation datasets, prototype utilities, model behavior analysis, and
  integration tooling.
• Partner with Applied ML Engineers to translate complex domain requirements into testable
  specifications, model behavior expectations, prototype workflows, and production-ready system
  behaviors.
• Support evaluation design through representative examples, edge cases, and ground-truth data.

Evaluation & Quality Alignment
• Work with the ML Behavior Systems Team to ensure systems meet defined evaluation and
  quality standards.
• Validate that outputs meet professional expectations within the domain, beyond technical
  correctness.
• Help interpret evaluation results in the context of real production use.

Integration Readiness

• Ensure systems can be adopted within real production pipelines with minimal friction.
• Validate compatibility with downstream tools, workflows, and operational environments.
• Partner with Platform Integration teams to ensure outputs meet functional deployment
  requirements.

ACCOUNTABILITIES

• Relevance: Systems address real production workflows and user needs.
• Usability: Outputs align with practitioner expectations and working environments.
• Quality: Deliverables meet professional standards within the domain.
• Integration Readiness: Systems fit into existing pipelines with minimal rework.

REQUIRED QUALIFICATIONS

• 8+ years of experience within a film, media, or entertainment production domain (e.g., production,
  post-production, animation, VFX, studio technology, or related functions).
• Demonstrated ability to translate real-world workflows and quality expectations into structured
  requirements.
• Working proficiency in Python or similar scripting languages sufficient to contribute to system
  development and validation.
• Experience collaborating with technical teams on tools, systems, or pipeline development.
• Ability to operate in dynamic, iterative environments with evolving requirements.

PREFERRED QUALIFICATIONS

• Experience working with ML-enabled tools, data systems, or production technology initiatives.
• Familiarity with evaluation frameworks, testing methodologies, or pipeline validation approaches.
• Experience documenting workflows, standards, or domain practices for reuse.
• Exposure to cross-functional collaboration between creative and engineering teams.

CORE COMPETENCIES

• Domain Expertise: Deep understanding of real-world production workflows and constraints.
• Practical Judgment: Ability to define what is usable and production-ready in context.
• Technical Collaboration: Works proficiently with engineers while contributing directly where
  needed.
• Quality Standards: Maintains a clear and consistent bar for professional output.
• Translation Ability: Converts practitioner needs into structured, testable system behaviors.

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: $124,000.00 - 186,000.00. 

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.  

• 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.

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