Principal Machine Learning Engineer

Role Overview Paramount Streaming is building the next generation of personalization and discovery across global platforms. This role leads high‑impact machine learning initiatives focused on optimizing the Paramount+ sign‑up and Pluto TV registration flow. This position shapes how millions of viewers discover films, series, live sports, and news on Paramount+, Pluto TV, and our future streaming products. It is a highly visible technical leadership role facilitating innovation at the intersection of ML modeling, retrieval and ranking systems, multi‑modal embeddings, multi‑armed bandits, experimentation, and real‑time user comprehension. Responsibilities Lead the design and development of personalization in the P+ sign‑up flow and Pluto TV registration flows. Own end‑to‑end machine learning pipelines—from data and feature engineering to training, deployment, serving, and monitoring. Partner closely with product, design, content, platform engineering, and data science to define roadmaps and deliver measurable user outcomes. Advance our semantic search and browse experience through state‑of‑the‑art embeddings, query understanding, and domain‑specific model architectures. Establish high‑integrity experimentation practices, improve offline→online correlation, and guide feature rollouts with strong scientific rigor. Mentor engineers and scientists, develop technical talent, and help shape the culture of our growing Applied ML organization. Basic Qualifications 7–10+ years of experience in machine learning engineering, applied science, recommender systems, multi‑armed bandits, or large‑scale search/ranking systems. Demonstrated expertise deploying ML systems in high‑traffic, real‑time production environments. Deep knowledge of modeling techniques such as representation learning, multi‑task learning, multi‑modal embeddings, contextual bandits, and session modeling. Strong fluency in experimentation methodology, A/B testing, causal reasoning, and metric design. Experience leading and mentoring technical teams; ability to drive strategy while remaining hands‑on. Proficiency with modern ML tooling (PyTorch, TensorFlow), big‑data environments (Spark, Beam, BigQuery), and production MLOps workflows. Additional Information Hiring Salary Range: $234,000.00 - 260,000.00. 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. What We Offer Attractive compensation and comprehensive benefits packages. Check out our full list of benefits here: 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: 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. 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 as a result of your disability. You can request reasonable accommodations by calling View phone number on click.appcast.io or by sending an email to View email address on click.appcast.io. Only messages left for this purpose will be returned. #J-18808-Ljbffr Paramount Pictures