
Sr. Machine Learning Engineer, Short-form Job at Paramount Pictures in New York
Paramount Pictures, New York, NY, United States
Sr. Machine Learning Engineer, Short-form
New York, NY, US, 10036
Technology
New York
Full-Time
On-Site
#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 the powert 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.
Overview
We are looking for a Senior Machine Learning Engineer to join the Shortform pod.
This is a Senior role, meaning you are trusted to define the technical approach for complex ranking and selection features. You will work within a GCP-based environment,
utilizing TensorFlow and PyTorch, with a heavy focus on Post-training RL (Reinforcement Learning) to optimize for long-term user satisfaction and session-level rewards.
Why This Role Matters
- Capturing Attention: You own the algorithms that select the right 30-second "hook" to show a user, directly impacting Click-Through Rate (CTR) and discovery velocity.
- Beyond the Click: By applying Post-training RL, you ensure that our short-form content drives meaningful long-term retention, not just short-term engagement.
- System Quality: You raise the bar for the Shortform pod by anticipating data risks and building highly reliable, multi-stage ranking pipelines.
Key Responsibilities
- Lead Feature Design: Own the end-to-end design of ranking models for in-view short-form content.
- Apply RL in Production: Implement Post-training RL techniques to align model outputs with complex user satisfaction metrics.
- Optimize for Scale: Build and maintain high-throughput pipelines in GCP using TensorFlow/PyTorch.
- Mentorship: Provide technical guidance to IC1-IC2 engineers on the pod, ensuring high standards for code and experimentation.
- Mitigate Risk: Identify and tackle systemic biases in how short-form content is surfaced to avoid "filter bubbles."
Basic Qualifications
- 5+ years of experience in MLE; proficient background in Reinforcement Learning; proficiency in GCP, TensorFlow, and PyTorch.
Additional Qualifications
- Experience in video-first social or streaming apps; background in multi-modal signal processing.
ADDITIONAL INFORMATION
Hiring Salary Range: $139,000.00 - 180,000.00.
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: 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 paramountaccommodations@paramount.com. Only messages left for this purpose will be returned.
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