ViacomCBS

Machine Learning Engineer

Burbank, California, USA · full-time

Sponsorship not specified$130k-$195kDetected 50 days ago

PythonC++Distributed SystemsKubernetesTerraformCI/CDPrometheusGrafanaPlatform EngineeringMachine LearningMLOpsResearchLeadershipMentoring

About the role

You will be responsible for the "engine room" of the AMLG, ensuring that our MLEs can train massive models efficiently and serve them with sub-millisecond reliability.
In this role, you will directly shape: The Training Foundation: Establishing AnyScale/Ray as the standard for distributed compute, enabling MLEs to train models on petabytes of data without managing infrastructure.

Technical Roadmap & Strategy: Own the long-term architectural direction for the Training and Inference domains, ensuring the platform scales 10x over a 1-3 year horizon.
High-Performance Inference: Design and maintain K8s-based inference servers (e.g., Triton, TorchServe, or vLLM) optimized for GPU memory management and high throughput.
Mentorship & Coaching: Act as a technical mentor to senior engineers across the ML Platform and Applied ML pods, raising the bar for system design and operational rigor.
Own the long-term architectural direction for the Training and Inference domains, ensuring the platform scales 10x over a 1-3 year horizon.
Design and maintain K8s-based inference servers (e.g., Triton, TorchServe, or vLLM) optimized for GPU memory management and high throughput.
Implement a self-healing infrastructure layer that significantly reduces manual intervention for cluster-related failures. #LI-KA1 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+.
Unique opportunities to make meaningful connections and build a vibrant community, both inside and outside the workplace.

6-8+ years of experience in ML Infrastructure, Platform Engineering, or high-scale Backend Engineering.
Orchestration & Serving: Extensive experience with Kubernetes (K8s) and serving frameworks for large-scale ML models.
Hardware Proficiency: Strong knowledge of GPU architecture, CUDA, and optimizing ML workloads for hardware acceleration.
Leadership (IC4/5): Proven track record of owning the technical direction for a major domain anddriving impact across multiple teams.
This is a high-leverage role designed for an expert who understands the deep technical stack required to shift ML models from research to global production.
This role requires a unique blend of expertise in distributed systems and hardware acceleration.
Extensive experience with Kubernetes (K8s) and serving frameworks for large-scale ML models.
Strong knowledge of GPU architecture, CUDA, and optimizing ML workloads for hardware acceleration.
Deep expertise with Ray (AnyScale) or similar distributed compute frameworks.

Experience with Infra-as-Code (Terraform/Pulumi) and building automated MLOps pipelines.
Distributed Systems Mastery: Deep expertise with Ray (AnyScale) or similar distributed compute frameworks.
Familiarity with ML observability tools (Prometheus, Grafana, Weights & Biases, or MLFlow).
Deep knowledge of Python and C++ for performance-critical systems.
What Success Looks Like In your first 6-12 months, you will: Unify the Compute Layer: Successfully transition the majority of AMLG training workloads to a governed AnyScale/Ray environment.
Establish Durable Standards: Author the "Gold Standard" for ML deployments that is adopted by at least three other pods in the organization.
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.

$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.
What We Offer: Attractive compensation and comprehensive benefits packages.

An exciting and fulfilling opportunity to be part of one of Paramount's most dynamic teams.

Paramount is proud to be an equal opportunity workplace.
equal opportunity employer (EOE) including disability/vet.
equal opportunity workplace.
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.

rtunity 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 stat

This listing is sourced directly from ViacomCBS's careers page and normalized into a canonical job model.